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STRUCTURED BENTHIC COMMUNITIES ASSOCIATED WITH COLD SEEPS: AN ACCURATE
IDENTIFICATION AND EVALUATION USING A NEW MULTIBEAM SURVEY METHODOLOGY
Adrian Digby1, Vladimir Puentes2, Jorge Leon 3
Abstract
Seabed sampling of sediment cores obtained from, or adjacent to, the chemosynthetic communities
associated withcoldseepshasdevelopedasanimportantexploration technique over the last 15 years.
The survey of the Gran Fuerte Areaof the Colombian Caribbean had a secondary goal to go beyond the
explorationtargetof providingsufficientsamples from a representative number of locations and had a
remit to map all the chemosynthetic communities in the area that met a minimum size and activity
criteria.
The survey methodemployedreliedonadouble (200%) coverage of a targetedareaand new processing
of the backscatterdata recovered. The resultswere correlatedwithalarge numberof seabedcoresand
twodriftcamera surveysof the seabedovermore than a dozen target seeps and the identification and
correlationwith gasplumes in the water column data. All the additional data correlated with the seep
map produced. The environmental map identified over 200 seeps ranging from over 200 hectares to
only0.16 hectares inextent. The eliminationof artefactsandthe increased signal to noise ratios of the
backscatter data allowed accurate plotting of seep boundaries and categorization of seeps into an
activity catalogue.
The map was compared with the existing designated Areas of Significant Biodiversity with seeps
occurringboth within the ASBs and outside the ASBs. The authors believe this methodology allows an
accurate seabedmapof all structuredbenthiccommunitiestobe preparedand allowsplanstobe put in
place that will ensure these locations are protected from inappropriate development or activity and
areas of seabeddevoidof suchactivityindeepwater CaribbeanColombiacouldbe safely removed from
specific environmental protection.
Resumen
1Lionel FrayAssociates& Anadarko Inc. digby@borehole-geophysics.com
2Aquabiosfera & Anadarko Colombia Company
3AnadarkoColombia Company
Introduction
Colombia is promoting the offshore exploration in the Colombian Caribbean through the National
Agency for Hydrocarbons (ANH), giving offshore exploration licenses to several operating companies.
Offshore exploration is done in several steps, such as seismic surveys, multibeam and piston coring
surveys, analysis of information obtained, and exploratory drilling. An environmental license or a
maritime authoritypermitisneededtocarryout all these offshore exploration activities, depending on
each case.
An environmentalimpactassessment(EIA) is required for some of the previous processes mentioned,
and accordingto the terms of reference for EIAs, it is required to do baseline studies that characterize
the area of interest.Thesestudies include the identification of environmental sensitive areas, such as
national natural parksintheir different categories, and the Areas of Significance for Biodiversity (ASB)
firstreported byAlonsoetal.(2010). EIAsfoundthat mostof the blocksforoffshore explorationinclude
ASBs, and since ASBs should be the base to focus further research efforts for management and
conservation, in order to grant representativeness and preservation of the biodiversity in those areas
(Alonsoetal.,2010), it was decidedtocarry uut a study with a new methodology, including an analysis
of the ASBs in the offshore Gran Fuerte area (Southern Colombian Caribbean).
Thisstudypresentsthe newmethod basedonmultibeamhighresolutiondata and its validation, as part
of the offshore exploration surveys that offers brand new environmental information, which may be
useful for both the oil & gas industry, and the environmental regulatory agencies in Colombia.
Methods
In 2014 and 2015, a multibeam echo-sounder survey (MBES) was carried out with an Echo sounder
KORNSBERG EM122 over a large area of the southern Caribbean waters covering approximately
22,500km2
, including data of a 2006 previous survey. Coring locations were identified and performed
fromthe MBES surveydata forgeochemical exploration, focusingon the Gran Fuerte area (Fig. 1; 14.200
Km2
); drift camera surveys on strategic areas were carried out on the seabed to confirm the
interpretationof the multibeam data. Although the survey covered a wide area, special attention was
focused on several areas of the Gran Fuerte area designated as Areas of Significance for Biodiversity
(ASBs; framed green, Fig. 1) reported by Alonso et al. (2010).
The dual need for accurate geochemistry and accurate ecological mapping lead to the use of a new
method of multibeam surveying, with bathymetry, backscatter data being obtained at a greater
resolvability indeepwaterthananyprevious extensive survey. The seabed coring survey followed and
confirmed the accuracy of the interpretations. Although this method is valuable for a number of
different purposes, this paper describes its use from an environmental perspective. The method and
survey interpretation allowed remote mapping in detail of seabed morphology, allowing the
identification of cold seeps and accurately identifying the presence or absence of structured benthic
communities associated , both within and outside the ASBs in the Gran Fuerte area.
The first pass MBES backscatter resolution data was mapped as pixels of 3x3 bin size, and bathymetry
resolution was 15x15m, which is the highest resolution normally available for a deep water survey at
these depths (700-2800m). Recent improvements to multibeam systems have occurred improving the
densityof the databoth alongline using“double pinging”,whichdoublesthe along-lineresolution even
at higher vessel speeds, and across line by doubling the actual number of transceivers. These
improvementsmade identificationof seeprelated expulsionfeatureswith clear bathymetric signatures
possible with a high degree of certainty. However to increase the certainty that cold seeps could be
identified accurately using the backscatter data, which is the most valuable data set, the MBES data
was gathered over two passes covering the seabed at 200% coverage, and surveying the same area
twice but at different angles (Fig.2).
Water columndata fromthe MBES surveyrecordedwatercolumnreflections thatwere usedto identify
the location of gas plumes; these gas plumes were correlated with cold seeps in all cases. Finally, a
sweepof the data wasmade to determine whetheranyareas of “hard ground” did exist that may allow
the development of deep-water corals within the whole study area (Fig. 1; Gran Fuerte and 2006
survey).
Figure 1. Gran Fuerte area inSouthernColombian Caribbean(Redframe). Areas of Significant Biodiversity (Based on
Alonsoet al., 2010, greenframe), and 2006 surveyarea (yellowframe).
Results
The total Gran Fuerte areawas surveyedwith three differentresolutions of data and the reliability was
compared.Figure 3 showsarea1 withdata gatheredinthe 2006 survey withsingle pinging and half the
resolution of the 2014 basic survey, area 2 is the area covered by at standard 100% coverage with a
3x3m backscatter and 15x15 bathymetry coverage and area 3 was covered by two passes producing a
merged smoothed and averaged backscatter data set covering this area at 200%.
As with all backscatter data, even of the highest resolution, the base data showed, in addition to
geological influence highbackscatter, high values that occur due to the angle of incidence of the beam
with the seabed and this so called grazing angle of the beam has a profound effect on the backscatter
values, and although the processing software used compensates to some extent for this variation it
cannot eliminate it.The mostobviousexample of this phenomenon is the “nadir line” which reflected
the track of the vessel over a flat seabed. If the seabed is not flat, the nadir spreads out and often
intensifiesreflectionsoff anyslope thatfacestowardsthe vesselasit passes, and by contrast, any slope
angled away from the vessels track will have a reduced backscatter signature (Fig. 4).
Resultswitha200% coverage showedthatthese artefactscanbe nullifiedwith each area of the seabed
receiving acoustic pulses from two opposite directions as shown in figure 2. Results from the double
coverage process of first pass, second pass and the final merged data is shown in figures 5A, B and C.
Figure 2. Method usedto obtain200% coverage. Eacharea of the seabedis acousticallyexaminedtwice from two opposite directions
and angles. The backscatter data is thenmerged to eliminate the grazing angle and positional effects on the backscatter map.
Resultsshowedhowmost backscatterartefactsseenin first pass (see example Fig 4A, and second pass
(see example Fig 4B) are lost and all are significantly reduced when the data are merged (see 4C). The
‘clean’ data (4C) is far simpler to interpret the remaining high backscatter anomalies, three locations
arrowed in red, identify the cold seeps and the structured benthic communities associated. In this
example the remaininggeological causesof highbackscattershown here inanintermediate yellow color
occur mainly at the base of slopes where sediments have washed down and are deposited as small
outwash fans (Fig. 4C).
A B C
Figure 3. The GranFuerte surveyarea anddifferent levels of coverage. Area 1 = 2006 surveycovering 2,800km2, Area 2= 2014 survey
with 100% backscatter data coverage, area 7,300km2;A rea 3= 2014 surveywith200% backscatter data coverage, area 4,100km2
Figure 4. A. First pass (100% coverage) showing 2 Nadir linesandhighbackscatter values onslopes. B. Secondpass
showing 3 Nadir lines andhighbackscatter values at different locations on slopes. C. Mergeddata (200% coverage)
showing the area clear of artefacts withthe highbackscatter remainingclearlyidentifyingcold seeps (redarrows).
Area 3 (Fig. 3) of Gran Fuerte (35% of the whole area) was surveyed with double coverage (200%) and
mergeddatain that areashowed a better and more complete geological map of the seabed, with cold
seeps readily identified and delimited due to the presence of authigenic carbonates and structured
benthic communities creating high backscatter anomalies.
Confirmation of the accuracy of the previous assessment comes from the recovered piston cores
containing seep fauna remains (chemosynthetic communities; Fig 5) and/or hydrocarbon - charged
sediments in the locations predicted. Of 177 seep locations identified unrelated to clear expulsion
features and based on backscatter evidence alone, 59 were cored and 55 cores were successful in
identifying and confirming the presence of a cold seep (93% accuracy) associated with benthic
communities. One core missed the targeted seep and time did not allow a more accurate re-drop, but
watercolumngas plume hadalreadyconfirmedthe seep’s existence. In the area of 200% coverage, all
of the 55 seeps identified and cored were confirmed at 100% accuracy, and found to be accurately
assessed.
Another 32 expulsion features (apart from the 177 identified by backscatter alone, for a total of 209
seep locations) were identified and 20 of them were cored and proven to be hydrocarbon related
features; another 2 cores were dropped on features that were not clearly understood in order to
investigate those locations; one appears to be a sand expulsion feature and another mound was
confirmed to be a large draped block in a debris field. The rate of success was 91% for identified
expulsionfeatures basedonbathymetricevidence.Lastly,43locationsrevealed gasplumesinthe water
column. All of these locations were identified from the multibeam data as already mapped seep
locations.
Seep size and limits were accurately established. Figure 7 A and B shows two cases in Gran Fuerte,
where the drop locations of the cores included two that were only between 6 and 9 m away from the
edge of the chemosyntheticcommunityand these drops resulted in soft clay cores with no evidence of
chemosynthetic community and hydrocarbon levels at or barely above background levels. Thus
confirming how sharply defined such chemosynthetic communities are and how precisely they are
associated with the presence of the hydrocarbons.
A B
The 200% coverage allowed the classification of the quality, expressed as density, of the
chemosyntheticcommunities associatedwith the seeps.The mostobviousfeatureapartfromsize,isthe
backscatter values and consistency of those values within the seep area. This variability allowed a
categorization of ‘seep quality’ to be established. Consistently high backscatter values over the seep
area suggested high density of chemosynthetic communities, suggesting live and presumably active
communities. Such occurrences were designated as “Dense Seeps”; of all seeps identified, 112 were
recognized as dense seeps.
Figure 6. A. Seep 32 withthree cores, one with minimal recoveryof carbonate rubble droppedinthe high backscatter
area; , another dropped ina small gap inthe highbackscatter, within the seep, hada high hydrocarbon content, and
the last one wasjust 6m outside the seepboundary and had hydrocarbons levels just above background,, B. Seep 206
is anexpulsion feature makinga lowmound partlycovered withhigh backscatter;one core waspositive for seepfauna
on the highbackscatter whereas the second just 9m from the sharp edge to the high backscatter no significant
hydrocarbon content and no seep fauna recovered.
Figure 5. Evidence of chemosynthetic communitiesrecovered insome ofthe cores. Thiswas one of the rare occasions when
live organisms were recovered. Most hits directly on seeps recovered carbonate rubble and bleached shells debris.
Other seeps have far less consistency about the high backscatter signal and are patchy. They are still
verylikelytobe seepswith high backscatter again related to chemosynthetic activity, but they may be
partlycoveredwithrecent sediment and may possibly be no longer active or only partly active. These
seeps are categorized as “Low Density Seeps” and 62 of all locations fall into this category. A final
category includes a number of locations that may be caused by other geologic processes that increase
backscattervaluesandmay be wrongly included as seeps in the survey or may be mainly covered with
recent sediment and represent extinct seep communities. The acoustic signals can penetrate into the
sedimentandintheoryrelictseepsshouldstill be detectable; these locations have been designated as
“Traces”, and 35 of all locations fall into this category. Figure 7 shows an example of seep quality
variation. This‘marginal’classificationdose meansome seepsare identifiedwhichmaynot be valid but
the classification allows all potential likely seep locations to be included and is considered a valuable
safeguard in ensuring the environmental assessment is complete.
Extensive drift camera survey were carried out in strategic areas of the Gran Fuerte area, covering
previously identified seeps, and these camera surveys confirmed the presence of chemosynthetic
communitiesinthe locations previously predicted, andthey also confirmed the seep quality categories
established as being valid, Examples from the camera work are shown (Fig. 8) .
A B C
Figure 7. Blue arrows indicate two “Dense” seeps with uniformhighbackscatter values. Yellowarrows indicate “LowDensity
Seeps “ with some high, but generallylower backscatter values. Brownarrows indicate “Traces” withnohighbackscatter but
with a discrete appearance. Inadditionthere is a spreadof moderate backscatter downslope fromsome ofthe seeps thee
areas are interpreted as debris fans delineated byyellowdottedlines).
No elevatedsea-mountsandnoridgesorevidence of hard substrate were found in the two main areas
of study(Fig.1); All the ridgesandelevated areas that did exist were the result of fold belt geological
processes and did not expose any competent strata at the seabed. However, to the east of the Gran
Fuerte area, two ridges with exposed ‘rock’ at 400-800m depth were found in the 2006 survey (Fig. 9).
These locationsare thoughttobe the onlylikelyareasfordeepwatercoral occurrence inthe whole Gran
Fuerte area.
Discussion
Seeps were identified using the multibeam data and then targeted for coring to obtain geochemical
samples.This kindof surveyhasnowbeenperformedformanyyearsfollowingthe developmentof high
quality bathymetric and backscatter data available for deep sea surveys. The technique is now an
acceptedexplorationtool foridentifyingdeep seaareaswithpotentialfordevelopment of hydrocarbon
Figure 8. Different images ofChemosynthetic communitiesinthe Gran Fuerte area. A. Dense Seep includes live
Bathymodiolus ssp andCalyptogyna ssp shells( brown) , B. Low densitySeep, with bacterial mats small areas of
authigenic carbonate andtube worms remains C. Traces. – macro fauna debris downslope from other active
sites, (Anadarko -2014 Calasu Drift Camera Survey)
Figure 9. Two potential locations for deep-water
corals
resourcesbylocatingandgeochemicallysamplingthose cold seeps (Orange et Al 2202, McConnell et Al
2008). The new integrated and improved method presented here, allowed far higher reliability to be
attached to the interpretation of the data and added the potential for discriminating the quality of
variousseepsusingthe backscattermappedcharacteristicsof eachseep. The informationisalsoused to
formthe basisforany surface geo-hazard assessment and planning to ensure the safety of any seabed
infrastructure, as well as to identify areas of environmental or archeological interest.
The highresolution backscattervaluesreflectthe hardnessof the seabedinterface andthe very shallow
strata close to the seabed; high backscatter values can be obtained from sandy or gravelly seabed,
sediment,suchas thininterleavedlayersof silt/sandand clay, that in deep-water typify mass transport
or mass wasting deposits such as turbidites, debrites, outwash fans, slumps, etc. High backscatter
valuesare also found in consolidated (strong) sediments, volcanic substrate exposed at the seabed or
very close to the seabed, and irregular small scale roughness of the seabed. The hardness of the
authigeniccarbonate andthe roughness of the macro fauna covered surface makes structured benthic
communities, have high backscatter values a valuable property from the environmental perspective
The innovation of the method described here, consists of the exclusion of the geometric artefacts
associatedwithmultibeambackscatter by the ensonification of the seabed from two opposing angles,
leaving nullifies these artifacts leaving only the geological reasons for variation in backscatter values.
This procedure allows a far more accurate interpretation of the geological processes causing high
backscattervalues, includinganyhighbackscatteranomalies thatcan be the resultof structured benthic
communities associatedwithcoldseeps.Anothersignificant advantage of merging a second data set of
the same area at different angle is that random backscatter noise and weather effects are also
diminished;thisis most significant when looking in detail at locations to define the edges, extent and
probable densityof structured benthiccommunities,representing the chemosynthetic communities of
the Gran Fuerte area.
Anaerobic oxidation of methane results in the formation of authigenic carbonates which forms hard-
grounds on the seafloor (e.g. Naudts et al., 2008);associated with chemosynthetic communities
exploiting the presence of reduced, chemical rich fluids on the seafloor (e.g. Paull et al., 2005). The
increased hardness and roughness of the seafloor that results from both authigenic carbonates and
chemosyntheticcommunitiesare identifiable inMBESdata as highintensitybackscatter patterns; these
communities may not be associated with any clearly recognizable bathymetric feature although some
large and active seeps may develop shallow irregular and uneven mounds that can be seen at a very
detailed scale and are often referred to as bioherms. The majority of the structured benthic
communitiesassociatedwith cold seeps on Gran Fuerte have been identified and delimited by a clear
backscattersignature.FaultedFoldBeltslike the SinuFoldBeltare likelytohave a majority of the seeps
that are present identified by backscatter only.
Other data can be used to identify potential cold seeps as their location can be related to sub-surface
featuresinseismicandsub-bottom profiler data typically gas chimneys and amplitude anomalies. The
resolutionof suchdata,however,israrelysufficienttoallow definitive sampling.Anexample of this lack
of accuracy can be takenfromGran Fuerte geochemical explorationdatawhere 37 cores were reserved
for locations without apparent MBES defined backscatter or bathymetric cold seep signatures but
appearedaslikelyseeplocationsbasedonseismicdata alone.None of these coresdropped on features
identified by seismic data alone revealed any clear geochemical signatures associate with cold seeps.
Bathymetric features can also indicate the likely presence of shallow gas. These features are termed
expulsionfeaturesandtheirrelationshipwithstructuredbenthic communities is not as straightforward
as those seepsidentifiedbybackscatteralone.The expulsionfeaturesare the result of gas charged mud
diapirs rising through the sediment column forming mounds, domes and mud volcanoes. They are in
general largerinareathan the backscatterdefinedfeaturesandare definedbytheirvertical expression
whichisfar greaterthan the backscatteridentifiedcoldseeps.Theyare often100’sof hectaresinextent
reaching10’s to 100’s of metersabove the surroundingseabed. Although these expulsion features are
less common on the Gran Fuerte area than backscatter defined cold seeps this reflects the geological
structure. In areas,particularlybasinswith relativelyundisturbedstrata, the trapped gas may not have
any structurally controlled seepage paths to the surface as they have for instance in the folded and
faultedSinuFoldBeltof muchof Gran Fuerte.The gas,thustrapped by the geology, travels up with the
gravity driven movements of the mud diapirs to reach the shallow sub-surface (Graham et al 2009).
From coringthese featuresbothinColombiaandacrossthe world plusrecentacademic investigations (
Levinetal 2005, McAvoy et al 2005) it appearsunusual forall the surface of an expulsion feature to be
associated with chemosynthetic communities. Partly because of the slope effect that is present on
standard 100% coverage identifying where on these features structural benthic communities do exist
has always been difficult. Backscatter data is still the most reliable data to identify the parts of these
features where shallow gas can be accessed by the chemosynthetic communities that form these
structured benthic communities. The 200% coverage significantly improved the recovery rate of
successful geochemical cores from expulsion features on Gran Fuerte as the slope artefact on cones,
mounds and mud volcanoes previously masked the true areas of high backscatter due to
chemosynthetic communities.
A groupof expulsionfeaturesnotrepresented well onGranFuerte butcommonly encountered in other
surveys are collapse features associated with liquid or gas expulsions from the seabed, known
commonlyaspockmarks.Such featuresare more rarely associated with chemosynthetic communities.
Thisis probablybecause the episodic nature of such expulsions, that can cause collapse of the seabed
forming the pockmarks, that cannot sustain and allow a long-lived chemosynthetic community to
develop andthe formationof manypockmarkstotallyunrelatedtohydrocarbonexpulsion (ZZhanget al
2012). Identifying chemosynthetic communities if a pockmark with continued hydrocarbon flux is
present has proven very difficult with traditional survey methods as the dish like form of a pockmark
concentrates the backscatter acoustic energy giving falsely elevated backscatter values. Double
coverage has great potential in identifying pockmarks having hydrocarbon flux after formation, but in
the areas surveyed in Colombia there were no pockmarks present.
Seepsoccurin geologically driven “hotspots”,and to supportassociated chemosynthetic communities
they require both the oxygen in sulfate ions and the hydrocarbons; thus the sulphate-methane
transition zones need to be very close to the seabed. It has been estimated that this transition zone
must be within 1m of the seabed to allow the methane and oxygen from the sulphate ions from
seawatertoboth be available (Foucheret al., 2007). The balance can be disturbed if the flux decreases
or becomes unreliable and the sulphate-methane transition deepens or the flux increases and the
sulphate ions cannot penetrate the seabed. So, the location of high hydrocarbon flux at the seabed is
controlled by geological structures and properties of the near surface sediments; in the Colombian
surveyed areas, folds, faults and outcrops of permeable strata appear to control much of the
distribution of the seeps identified.
Identificationof seeps from MBES data began when backscatter data was first collected and processed
to provide reliable indicators of seabed properties (Orange et al 2002). After many years of academic
research, an estimated 75 commercial surveys of this kind had been performed by 2013 (AOA
Geophysics Commercial data) and the lead author has taken an active part in 23 of these surveys from
2007 to 2015. The ground validation of the interpretations with piston coring has allowed constant
updating of the interpretative techniques and provides the best indication of the accuracy of the
interpretation. In addition, seabed drift camera surveys have been carried out and for the present
survey provide confirmation of the MBES data interpretations of cold seeps with the chemosynthetic
communitiesassociated,givingagoodqualityassessmentof the methodology for the Gran Fuerte data
gathered. Cores and drift camera surveys confirmed that the principles applied in the MBES data
interpretationwere correctandthe interpreteddatawasof the highest quality and reliability, and thus
can be applied withconfidence to identify seeps, and the structured benthic communities associated.
Recovering cores with good penetration on these structured benthic communities to provide both
geochemical andenvironmental dataisdifficultbecause apistoncore is designed to take samples from
softgroundand not the hard groundof these communities.The target for a successful core drop is thus
the edge of a seep and the edge of the seep community and not on the seep itself. Before this 200%
coverage technique was developed the identification of the edges of these seeps was not reliable
enough to allow anything other than an element of good luck to achieve a good recovery. With the
surveys carried out in 2014/2015 on Gran Fuerte and on other surveys carried since Gran Fuerte which
have include 200% coverage, a far more reasoned approach can be made to core positioning. The
percentage of cores with good penetration increased from 40% to 70% as the edge of seeps was
targeted from the areas with 100% coverage to those with 200% coverage. The remaining 30% missed
were those drops that either still dropped in the high backscatter defined seep or drifted too far from
the seepedge. The accuracy limitationsof the ultra-shortbaseline GPS positioning system itself which
at best is around 0.25% of the water depth and the physical difficulty of holding a core directly from a
mobile platformof a boat and dropping it in the exact desired position thus account for the remaining
30% inaccuracy. This improvement in accuracy and the deliberate targeting of the edges of seeps also
reduces the likelihood of damaging live communities with the cores even though this likelihood is
already very small.
Notwithstandingtheseinherentinaccuracies of positioning it was evident from the survey results that
the edge of these seepsare well definedand drops more than 10m away from the seep edge produced
neither macro fauna or seep geochemistry. The shapes of these communities in the Gran Fuerte area
are oftencomplex andveryirregularandthe areacoveredbyeachseepidentifiedwas equally variable.
In the 200% coverage areathe smallestchemosynthetic community identified is just 0.16 hectares and
the largest covered nearly 300 hectares.
Backscatter data consistency also allowed the categorization of the different levels of significance for
the chemosynthetic communities found and the variability can be seen in the examples in figure 8.
Althoughthe dense seepview (Fig8A) showsamass of macro fauna the percentage thatis ‘live’ may be
relativelysmall.Onlyaround7% of drops directly on dense seeps on Gran Fuerte recovered live macro
fauna.Thispercentage hasbeentypical of many surveys over the years conducted by the authors. The
majorityof recoveriesondense seepsconsistedof bleached shell debris and carbonate rubble not live
macro fauna. However, it is assumed that the seeps that have a high backscatter value over the
majorityof the seepareaand are categorizedasdense seepsmaybe of strategicecological significance.
“Low Density Seeps” have no bathymetrically recognizable carbonate mounds (bioherms) and drift
camera evidence suggests that compared to the dense seeps the live fauna is more sparse and
intermittent, typically consisting of bacterial mats and occasional tubeworms. Chemosynthetic
communities categorized as “Traces” can be debris from nearby active seeps as seen in Fig 8c or
possibly in-situ but extinct communities covered with sediment that backscatter data can still detect.
Sedimentationratesappearhighinsome parts of the Gran Fuerte area with the Atrato, Sinú, San Jorge
and/or Magdalena rivers, as the main sediment contributors. Seeps were less common in the eroded
canyons and sediment channels than on the elevated ridges of the Sinu Fold Belt but the structural
influences of faults, folds and outcrops appear more significant than the sedimentation regimes in
determining whether structured benthic communities exist associated with cold seeps.
Structuredbenthiccommunitiesassociatedwithcoldseepsandthose formed by deep-water corals not
tiedto coldseepsshouldbothbe identifiable usingthe techniquesemployedbutall areas identified on
Gran Fuerte were associated with cold seeps. It is assumed that the area mapped in 2014 that varied
from 700m in the south to over 2,500m in the north was presumably too deep to expect deep-water
corals,and infact no corals were foundinthisarea. Reyesetal.(2005) identified threesites withDeep-
water corals between 70m and 150 m depth in the Colombian Caribbean; Santodomingo et al. (2007)
found corals in the same area at between 120m and 180 m depth. Deeper surveys have also been
carried out Santodomingo et al. (2013) who analyzed 210 stations in 8 sectors of the Colombian
Caribbeanbetween10mand 510 m deep,findingadiversityof deep-watercorals, and Hernandez-Avila
(2014) studied deep-water corals in the Greater Caribbean area with more than 204 stations and a
depthrange between 60 and 5400 m depth. In the south Caribbean (including Gran Fuerte area), most
representative species were present no deeper than 480 m. The baseline studies performed on Gran
Fuerte asa requirementforthe environmentallicensesshowednopresence of deep-watercoralsin any
of the box corer samplesinthe Gran Fuerte area (AnadarkoandAquabiosfera,2014). The analysisof the
2006 survey did showed two shallow (400-800m) ridges of hard substrate that is relatively near to the
priority conservation site where deep-water corals were already reported (see Fig 9). These areas are
outside the recent survey and the Anadarko operated license area and were not sampled.
Alonso et al. (2010) identified the ASBs in Colombian Caribbean based on the identification of 32
conservation landscape objectives at different biological organization levels and geographical scales,
associatedtoa highrichnessandbiodiversity,accordingtothe conceptual frame established by Groves
et al.(2000) for eco-regional planningforconservation. Theirmethodologyused a “coarse filter” based
on the seabedmorphology(e.g.plains,hills,ridges,escarpments,canyons, channels etc) ranking places
by three mainattributes,depth,substrate hardness androughness.Theyalso established a “fine filter”
consistingof vulnerable species(e.g.deep-watercorals,speciesof reducedenvironments) if identified.
The methoddescribedandvalidatedabove uses a far higher resolution for MBES than that one used in
the ASB identification(Alonsoetal.,2010) and is proposed as primary method for further investigation
as calledforinAlonsoetal(2010). The method identifiesamore accuratelythe seabed morphology than
couldbe usedin the original studybyAlonso coveringareasboth inandoutside of the ASBs,inthe Gran
Fuerte area. Results showed that 99% of the surveyed area has a soft substrate, and “coarse filter”
marine landscapesare notnecessarilyrelatedwithahigherprobabilityof finding“fine filter” objectives
of conservationinthe ASBs.The chemosyntheticcommunitieswere confirmedin Gran Fuerte in depths
up to 2500m for the first time in the Colombian Caribbean, both in and outside ASBs.
ASB 9 and the greaterpart of ASB1 that were surveyedshowednochemosyntheticcommunities or any
other structured benthic communities. Chemosynthetic communities are the only structured benthic
communitiesfoundandoccurredbothinside andoutside ASB6 and ASB 8 in the Gran Fuerte area. The
chemosynthetic communities are tied exclusively to cold seep locations. The cold seep locations and
associatedgasplumeswere notdependentonlarge scale seabedmorphology or large scale irregularity
(roughness) of the seabed. They occurred in areas of soft sediment where they could be detected
readily by the hardness and roughness of each individual cold seep and associated chemosynthetic
community.The location of the seeps is controlled by the geological structures present that allow the
passage of hydrocarbons to the seabed. Fig 10 shows part of ASB 6, a typical area of the Sinu fold belt.
The cold seeps here follow faults often cross-cutting the large scale geomorphologic structures that
dictated the boundaries drawn for ASB 6. The seeps, shown as small orange highlights occur on both
plains and ridges but follow faults and other deeper seated geologic structures that do not control or
influence the large scale geomorphology and hence do not correlate with ASB boundaries based on
large scale geomorphology. The use of the existing ASB areas to identify likely structured benthic
communitieswouldleave ahighproportionof the coldseepchemosyntheticcommunities unidentified
and unprotected,howeverthe use of this new methodology and the creation of a high resolution map
of the seabed based on 200% coverage backscatter and high resolution bathymetry data from the
evidence of thissurvey,canbe reliedupontoidentifyall significant,sizeableandactive chemosynthetic
communities that would have an environmental significance.
Conclusions
Thissurvey allowed implementationof aninnovative method to find cold seeps and structured benthic
communitiesassociated withthem,usingMBESbackscatterdata withdouble coverage of the same area
(200% coverage).The highresolution backscatterdatainterpretation,the gasplume identifications, the
core samplesanddriftcameraevidence,all correlated and allows a very high level of confidence to be
attached to the identification of structured benthic communities associated with cold seeps. The
methodallows the seep map produced to be used as a precise geohazard map to ensure the oil & gas
industry can avoid these areas of shallow gas for further developments; and at the same time, it
provides important new knowledge on the deep sea biodiversity for the Colombian Caribbean,
reportingforthe firsttime the presence of chemosynthetic communities over 1000 m depth, which are
not necessarily related to the ASBs previously identified.
References
Alonso D, Segura-Quintero C, Torres C, Rozo- Garzon DM, Espriella JM, Bolaños J, Lopez AC.
2010. 12. Areas Significativas para la Biodiversidad. En: INVEMAR (Eds.). Biodiversidad del
Margen Continental Colombiano. Serie de Publicaciones Especiales, Invemar. 393- 423 pp.
Aquabiosfera, Anadarko Colombia Company. 2014. Estudio de Linea Base para el Bloque Purlple Angel
(to complete) .
Figure 10. Confirmedchemosynthetic communities found inbothplains and hills, and inside or outside an ASB.
Foucher JP, Graham K, Estbrook W, Boetius A, Ceramic ola S, Dupré S, Mascle J, Mienert J,
Fannkuche OP, Pierre C, Praeg D. 2007. Structure and Drivers of Cold Seep Ecosystems, Oceanogr.
22 (1).
Graham R, Pepper A. 2009. Observations on Structures Associated with Mud Diapirism and their Role in
Petroleum Charging and Trapping Search and Discovery. Article #40419 (2009)
Groves C.B., L. Valutis, D. Vosick, B. Neely, K. Wheaton, J. Touvaly B. Runnels. 2000 Designing a
Geography of Hope: A practitioner’s handbook for Eco-regional conservation planning, The Nature
Conservancy.
Hernandez-Avila I. 2014. Patterns of Deep-water coral diversity in the Caribbean basin and adjacent
southern waters: An approach based on records from the R/V Pillsbury Expeditions. PLos ONE 8(3):
e92834. Doi: 10.1371/journal.pone.0092834.
Levin LA. 2005. Ecology of Cold Seeps: Interactions of Fauna with Flow Chemistry and Microbes,
Scripps Institute, Oceanography and Marine Biology Annual review.
MacAvoy SE, Fisher CR, Carney RS, Macko SA, 2005. Nutritional associations among fauna at
hydrocarbon seep communities in the Gulf of Mexico: Mar. Ecol. Progr. Ser. 292: 51-60.
McConnell D, Gharib J, Henderson J, Danque WA, Digby A, Orange D. 2008. Black Gold Seep-hunting
in deepwater for frontier basins prospectivity assessment World Oil 2008. AOA Geophysics, Inc
Naudts L, Greinert J, Artemov Y, Beaubien SE, Borowski C, Batist M. 2008. Anomalous seafloor
backscatter patterns in methane venting areas, Dnepr paleo-delta, NW Black Sea, Mar. Geol. 251: 253-
267
Orange DL, Yuna Y, Maher N, Barry J, Greene G. 2002 . Tracking California seafloor seeps with
bathymetry, backscatter and ROVs * AOA Geophysics LLC b Monterey Bay Aquarium Research
Institute, P.O. Box 628, Moss Landing, CA 95039, USA c Moss Landing Marine Lab, Moss Landing,
CA 93950, USA, Continental Shelf Research, Volume 22, Issue 16, p. 2273-2290.
Paull CK, Schlining B, Ussler W, Paduan JB., Caress D., Greene HG. 2005. Distribution of
chemosynthetic biological communities in Monterey Bay, California, Geology 33 (2): 85-88
Reyes J, Santodomingo N, Gracia A, Borrero-Perez G, Navas G, Mejia Ladino LM, Bermudez A,
Benavides M. 2005. Southern Caribbean azooxanthellate coral communities off Colombia. In: Cold
water Corals and Ecosystems. Part of the Series Erlangen Earth Conference Series: 309-330.
Santodomingo N, Reyes J, Gracia A, Martinez A, Ojeda G, Garcia C. 2007. Azooxanthellate Madracis
coral communities off San Bernardo and Rosario Islands (Colombian Caribbean). Bull. Mar. Sci. 81
(1): 273-287.
Santodomingo N, Reyes J, Florez P, Chacon Gomez IC, van Ofwegen LP, Hoeksema BW. 2013.
DIversity and distribution of azooxantellate corals in the Colombian Caribbean. Mar. Biov. 43: 7-22.
Zijian Zhang, Adrian Digby,Jim Gharib, Tai Foi Chong,2012 Analysis and Interpretation of High-
Resolution Geophysical Data: Offshore Sarawak, South China Sea , Offshore Technology
Conference OTC 23155.

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Final Manuscript ACCURATE COLD SEEP IDENTIFICATION etc_Rev AJD_25-2-2016

  • 1. STRUCTURED BENTHIC COMMUNITIES ASSOCIATED WITH COLD SEEPS: AN ACCURATE IDENTIFICATION AND EVALUATION USING A NEW MULTIBEAM SURVEY METHODOLOGY Adrian Digby1, Vladimir Puentes2, Jorge Leon 3 Abstract Seabed sampling of sediment cores obtained from, or adjacent to, the chemosynthetic communities associated withcoldseepshasdevelopedasanimportantexploration technique over the last 15 years. The survey of the Gran Fuerte Areaof the Colombian Caribbean had a secondary goal to go beyond the explorationtargetof providingsufficientsamples from a representative number of locations and had a remit to map all the chemosynthetic communities in the area that met a minimum size and activity criteria. The survey methodemployedreliedonadouble (200%) coverage of a targetedareaand new processing of the backscatterdata recovered. The resultswere correlatedwithalarge numberof seabedcoresand twodriftcamera surveysof the seabedovermore than a dozen target seeps and the identification and correlationwith gasplumes in the water column data. All the additional data correlated with the seep map produced. The environmental map identified over 200 seeps ranging from over 200 hectares to only0.16 hectares inextent. The eliminationof artefactsandthe increased signal to noise ratios of the backscatter data allowed accurate plotting of seep boundaries and categorization of seeps into an activity catalogue. The map was compared with the existing designated Areas of Significant Biodiversity with seeps occurringboth within the ASBs and outside the ASBs. The authors believe this methodology allows an accurate seabedmapof all structuredbenthiccommunitiestobe preparedand allowsplanstobe put in place that will ensure these locations are protected from inappropriate development or activity and areas of seabeddevoidof suchactivityindeepwater CaribbeanColombiacouldbe safely removed from specific environmental protection. Resumen 1Lionel FrayAssociates& Anadarko Inc. digby@borehole-geophysics.com 2Aquabiosfera & Anadarko Colombia Company 3AnadarkoColombia Company
  • 2. Introduction Colombia is promoting the offshore exploration in the Colombian Caribbean through the National Agency for Hydrocarbons (ANH), giving offshore exploration licenses to several operating companies. Offshore exploration is done in several steps, such as seismic surveys, multibeam and piston coring surveys, analysis of information obtained, and exploratory drilling. An environmental license or a maritime authoritypermitisneededtocarryout all these offshore exploration activities, depending on each case. An environmentalimpactassessment(EIA) is required for some of the previous processes mentioned, and accordingto the terms of reference for EIAs, it is required to do baseline studies that characterize the area of interest.Thesestudies include the identification of environmental sensitive areas, such as national natural parksintheir different categories, and the Areas of Significance for Biodiversity (ASB) firstreported byAlonsoetal.(2010). EIAsfoundthat mostof the blocksforoffshore explorationinclude ASBs, and since ASBs should be the base to focus further research efforts for management and conservation, in order to grant representativeness and preservation of the biodiversity in those areas (Alonsoetal.,2010), it was decidedtocarry uut a study with a new methodology, including an analysis of the ASBs in the offshore Gran Fuerte area (Southern Colombian Caribbean). Thisstudypresentsthe newmethod basedonmultibeamhighresolutiondata and its validation, as part of the offshore exploration surveys that offers brand new environmental information, which may be useful for both the oil & gas industry, and the environmental regulatory agencies in Colombia. Methods In 2014 and 2015, a multibeam echo-sounder survey (MBES) was carried out with an Echo sounder KORNSBERG EM122 over a large area of the southern Caribbean waters covering approximately 22,500km2 , including data of a 2006 previous survey. Coring locations were identified and performed fromthe MBES surveydata forgeochemical exploration, focusingon the Gran Fuerte area (Fig. 1; 14.200 Km2 ); drift camera surveys on strategic areas were carried out on the seabed to confirm the interpretationof the multibeam data. Although the survey covered a wide area, special attention was focused on several areas of the Gran Fuerte area designated as Areas of Significance for Biodiversity (ASBs; framed green, Fig. 1) reported by Alonso et al. (2010).
  • 3. The dual need for accurate geochemistry and accurate ecological mapping lead to the use of a new method of multibeam surveying, with bathymetry, backscatter data being obtained at a greater resolvability indeepwaterthananyprevious extensive survey. The seabed coring survey followed and confirmed the accuracy of the interpretations. Although this method is valuable for a number of different purposes, this paper describes its use from an environmental perspective. The method and survey interpretation allowed remote mapping in detail of seabed morphology, allowing the identification of cold seeps and accurately identifying the presence or absence of structured benthic communities associated , both within and outside the ASBs in the Gran Fuerte area. The first pass MBES backscatter resolution data was mapped as pixels of 3x3 bin size, and bathymetry resolution was 15x15m, which is the highest resolution normally available for a deep water survey at these depths (700-2800m). Recent improvements to multibeam systems have occurred improving the densityof the databoth alongline using“double pinging”,whichdoublesthe along-lineresolution even at higher vessel speeds, and across line by doubling the actual number of transceivers. These improvementsmade identificationof seeprelated expulsionfeatureswith clear bathymetric signatures possible with a high degree of certainty. However to increase the certainty that cold seeps could be identified accurately using the backscatter data, which is the most valuable data set, the MBES data was gathered over two passes covering the seabed at 200% coverage, and surveying the same area twice but at different angles (Fig.2). Water columndata fromthe MBES surveyrecordedwatercolumnreflections thatwere usedto identify the location of gas plumes; these gas plumes were correlated with cold seeps in all cases. Finally, a sweepof the data wasmade to determine whetheranyareas of “hard ground” did exist that may allow the development of deep-water corals within the whole study area (Fig. 1; Gran Fuerte and 2006 survey). Figure 1. Gran Fuerte area inSouthernColombian Caribbean(Redframe). Areas of Significant Biodiversity (Based on Alonsoet al., 2010, greenframe), and 2006 surveyarea (yellowframe).
  • 4. Results The total Gran Fuerte areawas surveyedwith three differentresolutions of data and the reliability was compared.Figure 3 showsarea1 withdata gatheredinthe 2006 survey withsingle pinging and half the resolution of the 2014 basic survey, area 2 is the area covered by at standard 100% coverage with a 3x3m backscatter and 15x15 bathymetry coverage and area 3 was covered by two passes producing a merged smoothed and averaged backscatter data set covering this area at 200%. As with all backscatter data, even of the highest resolution, the base data showed, in addition to geological influence highbackscatter, high values that occur due to the angle of incidence of the beam with the seabed and this so called grazing angle of the beam has a profound effect on the backscatter values, and although the processing software used compensates to some extent for this variation it cannot eliminate it.The mostobviousexample of this phenomenon is the “nadir line” which reflected the track of the vessel over a flat seabed. If the seabed is not flat, the nadir spreads out and often intensifiesreflectionsoff anyslope thatfacestowardsthe vesselasit passes, and by contrast, any slope angled away from the vessels track will have a reduced backscatter signature (Fig. 4). Resultswitha200% coverage showedthatthese artefactscanbe nullifiedwith each area of the seabed receiving acoustic pulses from two opposite directions as shown in figure 2. Results from the double coverage process of first pass, second pass and the final merged data is shown in figures 5A, B and C. Figure 2. Method usedto obtain200% coverage. Eacharea of the seabedis acousticallyexaminedtwice from two opposite directions and angles. The backscatter data is thenmerged to eliminate the grazing angle and positional effects on the backscatter map.
  • 5. Resultsshowedhowmost backscatterartefactsseenin first pass (see example Fig 4A, and second pass (see example Fig 4B) are lost and all are significantly reduced when the data are merged (see 4C). The ‘clean’ data (4C) is far simpler to interpret the remaining high backscatter anomalies, three locations arrowed in red, identify the cold seeps and the structured benthic communities associated. In this example the remaininggeological causesof highbackscattershown here inanintermediate yellow color occur mainly at the base of slopes where sediments have washed down and are deposited as small outwash fans (Fig. 4C). A B C Figure 3. The GranFuerte surveyarea anddifferent levels of coverage. Area 1 = 2006 surveycovering 2,800km2, Area 2= 2014 survey with 100% backscatter data coverage, area 7,300km2;A rea 3= 2014 surveywith200% backscatter data coverage, area 4,100km2 Figure 4. A. First pass (100% coverage) showing 2 Nadir linesandhighbackscatter values onslopes. B. Secondpass showing 3 Nadir lines andhighbackscatter values at different locations on slopes. C. Mergeddata (200% coverage) showing the area clear of artefacts withthe highbackscatter remainingclearlyidentifyingcold seeps (redarrows).
  • 6. Area 3 (Fig. 3) of Gran Fuerte (35% of the whole area) was surveyed with double coverage (200%) and mergeddatain that areashowed a better and more complete geological map of the seabed, with cold seeps readily identified and delimited due to the presence of authigenic carbonates and structured benthic communities creating high backscatter anomalies. Confirmation of the accuracy of the previous assessment comes from the recovered piston cores containing seep fauna remains (chemosynthetic communities; Fig 5) and/or hydrocarbon - charged sediments in the locations predicted. Of 177 seep locations identified unrelated to clear expulsion features and based on backscatter evidence alone, 59 were cored and 55 cores were successful in identifying and confirming the presence of a cold seep (93% accuracy) associated with benthic communities. One core missed the targeted seep and time did not allow a more accurate re-drop, but watercolumngas plume hadalreadyconfirmedthe seep’s existence. In the area of 200% coverage, all of the 55 seeps identified and cored were confirmed at 100% accuracy, and found to be accurately assessed. Another 32 expulsion features (apart from the 177 identified by backscatter alone, for a total of 209 seep locations) were identified and 20 of them were cored and proven to be hydrocarbon related features; another 2 cores were dropped on features that were not clearly understood in order to investigate those locations; one appears to be a sand expulsion feature and another mound was confirmed to be a large draped block in a debris field. The rate of success was 91% for identified expulsionfeatures basedonbathymetricevidence.Lastly,43locationsrevealed gasplumesinthe water column. All of these locations were identified from the multibeam data as already mapped seep locations. Seep size and limits were accurately established. Figure 7 A and B shows two cases in Gran Fuerte, where the drop locations of the cores included two that were only between 6 and 9 m away from the edge of the chemosyntheticcommunityand these drops resulted in soft clay cores with no evidence of chemosynthetic community and hydrocarbon levels at or barely above background levels. Thus confirming how sharply defined such chemosynthetic communities are and how precisely they are associated with the presence of the hydrocarbons.
  • 7. A B The 200% coverage allowed the classification of the quality, expressed as density, of the chemosyntheticcommunities associatedwith the seeps.The mostobviousfeatureapartfromsize,isthe backscatter values and consistency of those values within the seep area. This variability allowed a categorization of ‘seep quality’ to be established. Consistently high backscatter values over the seep area suggested high density of chemosynthetic communities, suggesting live and presumably active communities. Such occurrences were designated as “Dense Seeps”; of all seeps identified, 112 were recognized as dense seeps. Figure 6. A. Seep 32 withthree cores, one with minimal recoveryof carbonate rubble droppedinthe high backscatter area; , another dropped ina small gap inthe highbackscatter, within the seep, hada high hydrocarbon content, and the last one wasjust 6m outside the seepboundary and had hydrocarbons levels just above background,, B. Seep 206 is anexpulsion feature makinga lowmound partlycovered withhigh backscatter;one core waspositive for seepfauna on the highbackscatter whereas the second just 9m from the sharp edge to the high backscatter no significant hydrocarbon content and no seep fauna recovered. Figure 5. Evidence of chemosynthetic communitiesrecovered insome ofthe cores. Thiswas one of the rare occasions when live organisms were recovered. Most hits directly on seeps recovered carbonate rubble and bleached shells debris.
  • 8. Other seeps have far less consistency about the high backscatter signal and are patchy. They are still verylikelytobe seepswith high backscatter again related to chemosynthetic activity, but they may be partlycoveredwithrecent sediment and may possibly be no longer active or only partly active. These seeps are categorized as “Low Density Seeps” and 62 of all locations fall into this category. A final category includes a number of locations that may be caused by other geologic processes that increase backscattervaluesandmay be wrongly included as seeps in the survey or may be mainly covered with recent sediment and represent extinct seep communities. The acoustic signals can penetrate into the sedimentandintheoryrelictseepsshouldstill be detectable; these locations have been designated as “Traces”, and 35 of all locations fall into this category. Figure 7 shows an example of seep quality variation. This‘marginal’classificationdose meansome seepsare identifiedwhichmaynot be valid but the classification allows all potential likely seep locations to be included and is considered a valuable safeguard in ensuring the environmental assessment is complete. Extensive drift camera survey were carried out in strategic areas of the Gran Fuerte area, covering previously identified seeps, and these camera surveys confirmed the presence of chemosynthetic communitiesinthe locations previously predicted, andthey also confirmed the seep quality categories established as being valid, Examples from the camera work are shown (Fig. 8) . A B C Figure 7. Blue arrows indicate two “Dense” seeps with uniformhighbackscatter values. Yellowarrows indicate “LowDensity Seeps “ with some high, but generallylower backscatter values. Brownarrows indicate “Traces” withnohighbackscatter but with a discrete appearance. Inadditionthere is a spreadof moderate backscatter downslope fromsome ofthe seeps thee areas are interpreted as debris fans delineated byyellowdottedlines).
  • 9. No elevatedsea-mountsandnoridgesorevidence of hard substrate were found in the two main areas of study(Fig.1); All the ridgesandelevated areas that did exist were the result of fold belt geological processes and did not expose any competent strata at the seabed. However, to the east of the Gran Fuerte area, two ridges with exposed ‘rock’ at 400-800m depth were found in the 2006 survey (Fig. 9). These locationsare thoughttobe the onlylikelyareasfordeepwatercoral occurrence inthe whole Gran Fuerte area. Discussion Seeps were identified using the multibeam data and then targeted for coring to obtain geochemical samples.This kindof surveyhasnowbeenperformedformanyyearsfollowingthe developmentof high quality bathymetric and backscatter data available for deep sea surveys. The technique is now an acceptedexplorationtool foridentifyingdeep seaareaswithpotentialfordevelopment of hydrocarbon Figure 8. Different images ofChemosynthetic communitiesinthe Gran Fuerte area. A. Dense Seep includes live Bathymodiolus ssp andCalyptogyna ssp shells( brown) , B. Low densitySeep, with bacterial mats small areas of authigenic carbonate andtube worms remains C. Traces. – macro fauna debris downslope from other active sites, (Anadarko -2014 Calasu Drift Camera Survey) Figure 9. Two potential locations for deep-water corals
  • 10. resourcesbylocatingandgeochemicallysamplingthose cold seeps (Orange et Al 2202, McConnell et Al 2008). The new integrated and improved method presented here, allowed far higher reliability to be attached to the interpretation of the data and added the potential for discriminating the quality of variousseepsusingthe backscattermappedcharacteristicsof eachseep. The informationisalsoused to formthe basisforany surface geo-hazard assessment and planning to ensure the safety of any seabed infrastructure, as well as to identify areas of environmental or archeological interest. The highresolution backscattervaluesreflectthe hardnessof the seabedinterface andthe very shallow strata close to the seabed; high backscatter values can be obtained from sandy or gravelly seabed, sediment,suchas thininterleavedlayersof silt/sandand clay, that in deep-water typify mass transport or mass wasting deposits such as turbidites, debrites, outwash fans, slumps, etc. High backscatter valuesare also found in consolidated (strong) sediments, volcanic substrate exposed at the seabed or very close to the seabed, and irregular small scale roughness of the seabed. The hardness of the authigeniccarbonate andthe roughness of the macro fauna covered surface makes structured benthic communities, have high backscatter values a valuable property from the environmental perspective The innovation of the method described here, consists of the exclusion of the geometric artefacts associatedwithmultibeambackscatter by the ensonification of the seabed from two opposing angles, leaving nullifies these artifacts leaving only the geological reasons for variation in backscatter values. This procedure allows a far more accurate interpretation of the geological processes causing high backscattervalues, includinganyhighbackscatteranomalies thatcan be the resultof structured benthic communities associatedwithcoldseeps.Anothersignificant advantage of merging a second data set of the same area at different angle is that random backscatter noise and weather effects are also diminished;thisis most significant when looking in detail at locations to define the edges, extent and probable densityof structured benthiccommunities,representing the chemosynthetic communities of the Gran Fuerte area. Anaerobic oxidation of methane results in the formation of authigenic carbonates which forms hard- grounds on the seafloor (e.g. Naudts et al., 2008);associated with chemosynthetic communities exploiting the presence of reduced, chemical rich fluids on the seafloor (e.g. Paull et al., 2005). The increased hardness and roughness of the seafloor that results from both authigenic carbonates and chemosyntheticcommunitiesare identifiable inMBESdata as highintensitybackscatter patterns; these communities may not be associated with any clearly recognizable bathymetric feature although some large and active seeps may develop shallow irregular and uneven mounds that can be seen at a very detailed scale and are often referred to as bioherms. The majority of the structured benthic communitiesassociatedwith cold seeps on Gran Fuerte have been identified and delimited by a clear backscattersignature.FaultedFoldBeltslike the SinuFoldBeltare likelytohave a majority of the seeps that are present identified by backscatter only. Other data can be used to identify potential cold seeps as their location can be related to sub-surface featuresinseismicandsub-bottom profiler data typically gas chimneys and amplitude anomalies. The
  • 11. resolutionof suchdata,however,israrelysufficienttoallow definitive sampling.Anexample of this lack of accuracy can be takenfromGran Fuerte geochemical explorationdatawhere 37 cores were reserved for locations without apparent MBES defined backscatter or bathymetric cold seep signatures but appearedaslikelyseeplocationsbasedonseismicdata alone.None of these coresdropped on features identified by seismic data alone revealed any clear geochemical signatures associate with cold seeps. Bathymetric features can also indicate the likely presence of shallow gas. These features are termed expulsionfeaturesandtheirrelationshipwithstructuredbenthic communities is not as straightforward as those seepsidentifiedbybackscatteralone.The expulsionfeaturesare the result of gas charged mud diapirs rising through the sediment column forming mounds, domes and mud volcanoes. They are in general largerinareathan the backscatterdefinedfeaturesandare definedbytheirvertical expression whichisfar greaterthan the backscatteridentifiedcoldseeps.Theyare often100’sof hectaresinextent reaching10’s to 100’s of metersabove the surroundingseabed. Although these expulsion features are less common on the Gran Fuerte area than backscatter defined cold seeps this reflects the geological structure. In areas,particularlybasinswith relativelyundisturbedstrata, the trapped gas may not have any structurally controlled seepage paths to the surface as they have for instance in the folded and faultedSinuFoldBeltof muchof Gran Fuerte.The gas,thustrapped by the geology, travels up with the gravity driven movements of the mud diapirs to reach the shallow sub-surface (Graham et al 2009). From coringthese featuresbothinColombiaandacrossthe world plusrecentacademic investigations ( Levinetal 2005, McAvoy et al 2005) it appearsunusual forall the surface of an expulsion feature to be associated with chemosynthetic communities. Partly because of the slope effect that is present on standard 100% coverage identifying where on these features structural benthic communities do exist has always been difficult. Backscatter data is still the most reliable data to identify the parts of these features where shallow gas can be accessed by the chemosynthetic communities that form these structured benthic communities. The 200% coverage significantly improved the recovery rate of successful geochemical cores from expulsion features on Gran Fuerte as the slope artefact on cones, mounds and mud volcanoes previously masked the true areas of high backscatter due to chemosynthetic communities. A groupof expulsionfeaturesnotrepresented well onGranFuerte butcommonly encountered in other surveys are collapse features associated with liquid or gas expulsions from the seabed, known commonlyaspockmarks.Such featuresare more rarely associated with chemosynthetic communities. Thisis probablybecause the episodic nature of such expulsions, that can cause collapse of the seabed forming the pockmarks, that cannot sustain and allow a long-lived chemosynthetic community to develop andthe formationof manypockmarkstotallyunrelatedtohydrocarbonexpulsion (ZZhanget al 2012). Identifying chemosynthetic communities if a pockmark with continued hydrocarbon flux is present has proven very difficult with traditional survey methods as the dish like form of a pockmark concentrates the backscatter acoustic energy giving falsely elevated backscatter values. Double coverage has great potential in identifying pockmarks having hydrocarbon flux after formation, but in the areas surveyed in Colombia there were no pockmarks present.
  • 12. Seepsoccurin geologically driven “hotspots”,and to supportassociated chemosynthetic communities they require both the oxygen in sulfate ions and the hydrocarbons; thus the sulphate-methane transition zones need to be very close to the seabed. It has been estimated that this transition zone must be within 1m of the seabed to allow the methane and oxygen from the sulphate ions from seawatertoboth be available (Foucheret al., 2007). The balance can be disturbed if the flux decreases or becomes unreliable and the sulphate-methane transition deepens or the flux increases and the sulphate ions cannot penetrate the seabed. So, the location of high hydrocarbon flux at the seabed is controlled by geological structures and properties of the near surface sediments; in the Colombian surveyed areas, folds, faults and outcrops of permeable strata appear to control much of the distribution of the seeps identified. Identificationof seeps from MBES data began when backscatter data was first collected and processed to provide reliable indicators of seabed properties (Orange et al 2002). After many years of academic research, an estimated 75 commercial surveys of this kind had been performed by 2013 (AOA Geophysics Commercial data) and the lead author has taken an active part in 23 of these surveys from 2007 to 2015. The ground validation of the interpretations with piston coring has allowed constant updating of the interpretative techniques and provides the best indication of the accuracy of the interpretation. In addition, seabed drift camera surveys have been carried out and for the present survey provide confirmation of the MBES data interpretations of cold seeps with the chemosynthetic communitiesassociated,givingagoodqualityassessmentof the methodology for the Gran Fuerte data gathered. Cores and drift camera surveys confirmed that the principles applied in the MBES data interpretationwere correctandthe interpreteddatawasof the highest quality and reliability, and thus can be applied withconfidence to identify seeps, and the structured benthic communities associated. Recovering cores with good penetration on these structured benthic communities to provide both geochemical andenvironmental dataisdifficultbecause apistoncore is designed to take samples from softgroundand not the hard groundof these communities.The target for a successful core drop is thus the edge of a seep and the edge of the seep community and not on the seep itself. Before this 200% coverage technique was developed the identification of the edges of these seeps was not reliable enough to allow anything other than an element of good luck to achieve a good recovery. With the surveys carried out in 2014/2015 on Gran Fuerte and on other surveys carried since Gran Fuerte which have include 200% coverage, a far more reasoned approach can be made to core positioning. The percentage of cores with good penetration increased from 40% to 70% as the edge of seeps was targeted from the areas with 100% coverage to those with 200% coverage. The remaining 30% missed were those drops that either still dropped in the high backscatter defined seep or drifted too far from the seepedge. The accuracy limitationsof the ultra-shortbaseline GPS positioning system itself which at best is around 0.25% of the water depth and the physical difficulty of holding a core directly from a mobile platformof a boat and dropping it in the exact desired position thus account for the remaining 30% inaccuracy. This improvement in accuracy and the deliberate targeting of the edges of seeps also reduces the likelihood of damaging live communities with the cores even though this likelihood is already very small.
  • 13. Notwithstandingtheseinherentinaccuracies of positioning it was evident from the survey results that the edge of these seepsare well definedand drops more than 10m away from the seep edge produced neither macro fauna or seep geochemistry. The shapes of these communities in the Gran Fuerte area are oftencomplex andveryirregularandthe areacoveredbyeachseepidentifiedwas equally variable. In the 200% coverage areathe smallestchemosynthetic community identified is just 0.16 hectares and the largest covered nearly 300 hectares. Backscatter data consistency also allowed the categorization of the different levels of significance for the chemosynthetic communities found and the variability can be seen in the examples in figure 8. Althoughthe dense seepview (Fig8A) showsamass of macro fauna the percentage thatis ‘live’ may be relativelysmall.Onlyaround7% of drops directly on dense seeps on Gran Fuerte recovered live macro fauna.Thispercentage hasbeentypical of many surveys over the years conducted by the authors. The majorityof recoveriesondense seepsconsistedof bleached shell debris and carbonate rubble not live macro fauna. However, it is assumed that the seeps that have a high backscatter value over the majorityof the seepareaand are categorizedasdense seepsmaybe of strategicecological significance. “Low Density Seeps” have no bathymetrically recognizable carbonate mounds (bioherms) and drift camera evidence suggests that compared to the dense seeps the live fauna is more sparse and intermittent, typically consisting of bacterial mats and occasional tubeworms. Chemosynthetic communities categorized as “Traces” can be debris from nearby active seeps as seen in Fig 8c or possibly in-situ but extinct communities covered with sediment that backscatter data can still detect. Sedimentationratesappearhighinsome parts of the Gran Fuerte area with the Atrato, Sinú, San Jorge and/or Magdalena rivers, as the main sediment contributors. Seeps were less common in the eroded canyons and sediment channels than on the elevated ridges of the Sinu Fold Belt but the structural influences of faults, folds and outcrops appear more significant than the sedimentation regimes in determining whether structured benthic communities exist associated with cold seeps. Structuredbenthiccommunitiesassociatedwithcoldseepsandthose formed by deep-water corals not tiedto coldseepsshouldbothbe identifiable usingthe techniquesemployedbutall areas identified on Gran Fuerte were associated with cold seeps. It is assumed that the area mapped in 2014 that varied from 700m in the south to over 2,500m in the north was presumably too deep to expect deep-water corals,and infact no corals were foundinthisarea. Reyesetal.(2005) identified threesites withDeep- water corals between 70m and 150 m depth in the Colombian Caribbean; Santodomingo et al. (2007) found corals in the same area at between 120m and 180 m depth. Deeper surveys have also been carried out Santodomingo et al. (2013) who analyzed 210 stations in 8 sectors of the Colombian Caribbeanbetween10mand 510 m deep,findingadiversityof deep-watercorals, and Hernandez-Avila (2014) studied deep-water corals in the Greater Caribbean area with more than 204 stations and a depthrange between 60 and 5400 m depth. In the south Caribbean (including Gran Fuerte area), most representative species were present no deeper than 480 m. The baseline studies performed on Gran Fuerte asa requirementforthe environmentallicensesshowednopresence of deep-watercoralsin any
  • 14. of the box corer samplesinthe Gran Fuerte area (AnadarkoandAquabiosfera,2014). The analysisof the 2006 survey did showed two shallow (400-800m) ridges of hard substrate that is relatively near to the priority conservation site where deep-water corals were already reported (see Fig 9). These areas are outside the recent survey and the Anadarko operated license area and were not sampled. Alonso et al. (2010) identified the ASBs in Colombian Caribbean based on the identification of 32 conservation landscape objectives at different biological organization levels and geographical scales, associatedtoa highrichnessandbiodiversity,accordingtothe conceptual frame established by Groves et al.(2000) for eco-regional planningforconservation. Theirmethodologyused a “coarse filter” based on the seabedmorphology(e.g.plains,hills,ridges,escarpments,canyons, channels etc) ranking places by three mainattributes,depth,substrate hardness androughness.Theyalso established a “fine filter” consistingof vulnerable species(e.g.deep-watercorals,speciesof reducedenvironments) if identified. The methoddescribedandvalidatedabove uses a far higher resolution for MBES than that one used in the ASB identification(Alonsoetal.,2010) and is proposed as primary method for further investigation as calledforinAlonsoetal(2010). The method identifiesamore accuratelythe seabed morphology than couldbe usedin the original studybyAlonso coveringareasboth inandoutside of the ASBs,inthe Gran Fuerte area. Results showed that 99% of the surveyed area has a soft substrate, and “coarse filter” marine landscapesare notnecessarilyrelatedwithahigherprobabilityof finding“fine filter” objectives of conservationinthe ASBs.The chemosyntheticcommunitieswere confirmedin Gran Fuerte in depths up to 2500m for the first time in the Colombian Caribbean, both in and outside ASBs. ASB 9 and the greaterpart of ASB1 that were surveyedshowednochemosyntheticcommunities or any other structured benthic communities. Chemosynthetic communities are the only structured benthic communitiesfoundandoccurredbothinside andoutside ASB6 and ASB 8 in the Gran Fuerte area. The chemosynthetic communities are tied exclusively to cold seep locations. The cold seep locations and associatedgasplumeswere notdependentonlarge scale seabedmorphology or large scale irregularity (roughness) of the seabed. They occurred in areas of soft sediment where they could be detected readily by the hardness and roughness of each individual cold seep and associated chemosynthetic community.The location of the seeps is controlled by the geological structures present that allow the passage of hydrocarbons to the seabed. Fig 10 shows part of ASB 6, a typical area of the Sinu fold belt. The cold seeps here follow faults often cross-cutting the large scale geomorphologic structures that dictated the boundaries drawn for ASB 6. The seeps, shown as small orange highlights occur on both plains and ridges but follow faults and other deeper seated geologic structures that do not control or influence the large scale geomorphology and hence do not correlate with ASB boundaries based on large scale geomorphology. The use of the existing ASB areas to identify likely structured benthic communitieswouldleave ahighproportionof the coldseepchemosyntheticcommunities unidentified and unprotected,howeverthe use of this new methodology and the creation of a high resolution map of the seabed based on 200% coverage backscatter and high resolution bathymetry data from the evidence of thissurvey,canbe reliedupontoidentifyall significant,sizeableandactive chemosynthetic communities that would have an environmental significance.
  • 15. Conclusions Thissurvey allowed implementationof aninnovative method to find cold seeps and structured benthic communitiesassociated withthem,usingMBESbackscatterdata withdouble coverage of the same area (200% coverage).The highresolution backscatterdatainterpretation,the gasplume identifications, the core samplesanddriftcameraevidence,all correlated and allows a very high level of confidence to be attached to the identification of structured benthic communities associated with cold seeps. The methodallows the seep map produced to be used as a precise geohazard map to ensure the oil & gas industry can avoid these areas of shallow gas for further developments; and at the same time, it provides important new knowledge on the deep sea biodiversity for the Colombian Caribbean, reportingforthe firsttime the presence of chemosynthetic communities over 1000 m depth, which are not necessarily related to the ASBs previously identified. References Alonso D, Segura-Quintero C, Torres C, Rozo- Garzon DM, Espriella JM, Bolaños J, Lopez AC. 2010. 12. Areas Significativas para la Biodiversidad. En: INVEMAR (Eds.). Biodiversidad del Margen Continental Colombiano. Serie de Publicaciones Especiales, Invemar. 393- 423 pp. Aquabiosfera, Anadarko Colombia Company. 2014. Estudio de Linea Base para el Bloque Purlple Angel (to complete) . Figure 10. Confirmedchemosynthetic communities found inbothplains and hills, and inside or outside an ASB.
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