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Sedimentology 1/1
Image log & dipmeter
analysis course
Sedimentological
interpretation
Part 1 methodology
Sedimentology 1/2
Provide methodology for image interpretation
- Interpretation confidence.
- Image facies analysis.
- Dip picking and interpretation.
- Core calibration.
The methodology can be demonstrated in a classroom;
the rest is PRACTICE AND EXPERIENCE.
Objective
Sedimentology 1/3
– Core integration (if available).
– Image facies description.
– Image facies associations.
– Dip picking.
– Removal of structural dip.
– Palaeotransport/ palaeoslope.
– Sedimentological/environmental
interpretation.
– Identification of correlatable.
surfaces/sequence boundaries.
– Sequence stratigraphy.
– Seismic integration.
Description
Interpretation
Approach to image analysis
Sedimentology 1/4
The best image interpreter has
seen the most images
(and the most rocks).
Sedimentology 1/5
0.1 mm 1 mm 1 cm 10 cm 1 m 10 m 100 m 1 km 10 km
CORE
(Limited Coverage)
3D SEISMIC
(Limited Resolution)
BOREHOLE IMAGES
bioturbation
ripples
dish structures/dewatering
amalgamation surfaces
soft sediment deformation
scours/erosion surfaces
grain size/bed thickness trends
bedforms
slumps
unconformities
channels
fan lobes
slide blocks
channel lags
Core calibration
Sedimentology 1/6
The goal
Sedimentology 1/7
Core versus images – complementary techniques
Advantages
Core
• Quantify lithological,
textural & mineralogical
information.
• Quantify f, K &
saturation.
• Good bed resolution.
• Detail of bedding
and/or lamination
types.
• And much more…
Images
• Larger aerial
coverage.
• Accurate orientation
information.
• Continuous regularly
sampled dataset.
• Good data on
bedding and/or
lamination continuity
Sedimentology 1/8
Images
• Provides little textural
information in
isolation.
• Qualitative
information on f, K &
saturation.
• Sensitive to borehole
conditions.
• How can we build
confidence?
Core versus images – complementary techniques
Disadvantages
Core
• Geometry of
sedimentary structures
often unclear.
• Often incomplete and
difficult to depth match.
• Orientation of
structures commonly
unclear.
Sedimentology 1/9
Image
generation
Log quality
control
1:500 Scale
Structural
analysis
1:200 Scale
Annotate
lithology
1:5 Scale
Feature
recognition
1:50 SCALE
Graphic Log
Local
knowledge
Modify
facies
types
Review
Dip types
After Bourke 1992
Image interpretation sequence
Sedimentology 1/10
Local Knowledge
Sedimentology 1/11
• Grade 1
– Features which can be categorically identified
• Grade 2
– Features which do not have a
unique interpretation
• Grade 3
– Features which are ambiguous,
i.e. probably non-geological
Image interpretation confidence
Sedimentology 1/12
1
Interpret these features…
2
3
5
4
Sedimentology 1/13
Interpret these features…
10 cm
6.
Sedimentology 1/14
After Bourke 1992
Sedimentology 1/15
Open hole log data.
Sedimentological
interpretation of images.
Image interpretation drag & drop
Facies interpretation
Sedimentology 1/16
Fabric index - determined via flash cards
Mottling and loss of fabric in this example is due to
bioturbation - hence we have a bioturbation index
Handling textures
Sedimentology 1/17
Probe
permeameter
Sedimentology 1/18
Permeability Images and BHI textures
Sedimentology 1/19
A Definition of ‘Lithofacies’
A sedimentary unit of distinctive
lithology and internal sedimentary
fabric .........................
Sedimentology 1/20
“Basic building blocks for
sequence analysis”
HETS
Lithofacies
Sedimentology 1/21
Having identified lithofacies…..
Grouped into Lithofacies
Associations which are of
environmental significance
Retrogradational or progradational stacking of
parasequence sets - these may be related to dip
variations
Grouped into Lithofacies Successions which
are analagous to Parasequences
Sequence Stratigraphy !
Sedimentology 1/22
• The images (tool gamma
ray) are depth-matched to
the OH logs (gamma ray).
• The core gamma ray is
depth matched to the image
gamma ray.
Reference curve
image log gamma ray
Match curve
core gamma ray
Core-image depth matching
• The core depth match is
“fine tuned” to match image
features.
Sedimentology 1/23
Loading core photos with Borehole Images
Sedimentology 1/24
Interpretation of features
seen in images
Facies interpretation
Palaeotransport
Core description log
Image interpretation with core calibration
Sedimentology 1/25
Top 1011’
Base 1012’
Goniometry Technique
• The transparent goniometry
sleeves are matched in width to
the core circumference
• Each sleeve has a central
reference line which is matched
to the MOL
• The MOL provides an
independent reference line for
the measurement data and
ensures that features marked
on the sleeves are consistently
oriented for each core set
Sedimentology 1/26
Scribed core
Primary
knife
Secondar
y
knives
Data Collection
• Sedimentary and tectonic
features are traced onto the
sleeve and annotations made of
features & lithology
• Positions of primary and
secondary knives are recorded
(scribed core)
• Sleeves are unwrapped, photo-
reduced and spliced into A4-
sized image panels
• The panels are then digitised
and transferred into continuous
depth-based Terrasciences files
Sedimentology 1/28
Fluvial
• Shale bedding
• Sandstone bedding
• High-angle x-strat
• Low-angle x-strat
• Parallel lamination
• Erosion surface
• Reactivation surface
• Bounding surface
Marginal
• Shale bedding
• Sandstone bedding
• High-angle x-strat
• Low-angle x-strat
• HCS
• Bioturbation
• Heterolithics
• Cementation
• Sandstone base
Turbidites
• Shale bedding
• Sandstone bedding
• Sandstone base
• Sandstone top
• Scours
• Slumps
• Detachments
• Axial planes
……and any structural features.
Dip classification scheme
Sedimentology 1/29
Interpretability is primarily based on image
quality but can be aided by the
“local knowledge’ approach
Measuring confidence is subjective;
consistency is important.
Image interpretation confidence
Sedimentology 1/30
• Dips are picked on features
seen in the static (left) and
dynamic (right) images and
using the open hole logs.
• Dips are appropriately
classified.
• Facies are identified and
colours assigned in the right
hand column.
• Genetically related facies
are grouped into facies
associations and colours
are assigned in the left hand
column.
• Schemes are refined as the
interpretation continues.
Image interpretation lithofacies collation
Sedimentology 1/31
Dry Sandflat
Dry Sandflat
Good Good <5
Poor Poor N/A
Aeolian Dune
Aeolian Dune
<35-65
API
Good Good >15
Good Good
Button
to
Button
Pad
to
Pad
Dip
Angle
Clasts?
<15 >5
Facies
Associations
Description Environment GR
Response
High angle cross-
beds.
Axh
Axg
Al
Am
Aw
Sap
Low angle
cross-beds.
Planar
stratification.
Wavy lamination -
>20% clay
Wavy lamination -
<20% clay
Massive
Damp Sandsheet
Damp Sandflat
Moderate
to good
Poor to
moderate
Variable
low angle
Moderate
to good
Poor to
moderate
Variable
low angle
<35-65
API
<35-65
API
<40-75
API
Density
&
porosity
2.5-2.6g/cc
3%
2.5-2.6g/cc
3%
2.55-
2.7g/cc
3%
<35-90
API
2.5-2.6g/cc
3%
2.45g/cc
3-8%
No data No data
Lithofacies associations
Fluvio-aeolian succession
Sedimentology 1/32
Aeolian dune
Dry interdune/dune apron
Damp/wet interdune
Mudflat
Fluvial sheet flood
Playa lake mudrocks
Depositional environments
Sedimentology 1/33
Image log & dipmeter
analysis course
Sedimentological
interpretation
Sediment dispersal
Sedimentology 1/34
Sedimentology 1/35
Fluvial lithofacies – cross-bedding
Sedimentology 1/36
Planar & Trough cross-bedding
Planar cross bedding
Trough cross bedding
Sedimentology 1/37
Hierarchy of
surfaces
Sedimentology 1/38
Bedding
Channel base
Closed fractures
Open fractures
Simulated
borehole track
Bedform reconstruction - perception
Sedimentology 1/39
1. Recognition of palaeohorizontal.
2. Determination of structural dip.
3. Structural dip removal from the dip data set.
4. Assess sediment dispersal orientations.
5. Refine dip classification scheme.
6. Repeat 4 and 5 as necessary.
Sediment dispersal methodology
Sedimentology 1/40
• Recognition of originally horizontal sediments
(particularly mudrocks) is key to structural and
sediment dispersal analyses (palaeotransport/
palaeoslope).
• Sediments deposited horizontally are structural
dip indicators (<20% of strata are deposited
horizontally).
• Removal of the structural dip component from
the dip data set allows for analysis of sediment
transport.
Palaeohorizontal
Sedimentology 1/41
Palaeohorizontal?
Sedimentology 1/42
Raw data
Black dips are shales
Structural dip removal
Sedimentology 1/43
Shale dips are
now centred at 0°
There is a wide
spread of the
remaining dip types
Structural dip removed
Sedimentology 1/44
Tectonic tilt removal – sensitivity
Cross-bedded sandstone succession
Sedimentology 1/45
Tectonic tilt removal – sensitivity
Flat-bedded sandstone succession
Sedimentology 1/46
Statistical local curvature techniques
Cross bed sets deposited on horizontal surface
Axis of curvature
Poles to
bedding planes
Tilting and
generation of
structural dip
Poles to bedding describe a
plane, the pole to which
(axis of curvature) is in the
plane of structural dip.
The axis of curvature
of multiple, variably
oriented bed sets
define the structural dip.
Structural dip.
Sedimentology 1/47
Turbidites – slumped bedding
Sedimentology 1/48
Axial Trend Analyses
Genetically related deformed surfaces will plot on a great
circle (with some natural scatter), and the pole (or axis) to
that great circle will define the overall trend of the
architecture (fold or slump axis).
Sedimentology 1/49
• Dips in the 5-15o range are critical to defining
reservoir architecture and dispersal orientations.
• Identify angular unconformities.
• Direct measurement of stratal geometry.
• Orientation of major bounding surfaces.
e.g. incised features, flooding surfaces
• Analyse changes in depositional regime and
sediment dispersal at key surfaces.
Palaeotransport interpretation
Sedimentology 1/50
Unimodal mode perpendicular to current.
e.g. point bar master bedding.
Bipolar azimuthal patterns in cross bedding deposited
by unidirectional currents.
small reverse azimuth spread due to antidune
cross bedding.
Bipolar cross bedding with transport axis perpendicular
to angle of repose.
e.g. seif dunes
Bipolar palaeocurrents with perpendicular mode.
e.g. turbidite erosional and slump structures.
after Selley, 1972
Palaeocurrent significance
Sedimentology 1/51
Top
Base
North
Sedimentary dips
structural dip removed
Changes in sediment
dispersal may be
correlated between
wells
Changes in sediment dispersion direction
Sedimentology 1/52
North
Inclined intraset
surfaces
Set boundary
Set boundary
Set boundary
Coset boundary
Bedform reconstruction
Sedimentology 1/53
Local versus regional
palaeocurrent variation in
one reach of a fluvial
depositional system.
Local versus regional trends
Sedimentology 1/54
Miall 1974
Local versus regional trends
Systems
Channels Meanders
Bars in meanders Cross beds
flanking bars
Ripple foresets
Sedimentology 1/55
Large scale
clinoforms
Sedimentology 1/56
Large scale clinoforms
Sedimentology 1/57
Scale?
Sedimentology 1/58
• In order to interpret sediment dispersal, an
appropriate conceptual depositional model is
required.
• This involves the understanding of:
• The spatial arrangement of different hierarchies
of bedding surfaces.
• The implications of these geometries for
sedimentation.
• Bedform orientation.
Bedform reconstruction
Sedimentology 1/59
• Identify features on the images.
• Identify sedimentary facies .
• Select the most reliable transport indicators (or
indicators) of sand body geometry.
• Remove structural dip.
• Construct azimuth histograms, vector plots etc and
reconstruct architecture if possible.
• Are the dip magnitudes and azimuth patterns typical
of these features?
• Is the azimuth scatter tolerable?
• Is there evidence for artefact data?
Palaeocurrent analysis method
Sedimentology 1/60
Aeolian systems
Sedimentology 1/61
Aeolian systems
STRUCTURES
– large scale aeolian foresets
– bounding surfaces
– distinctive lamination types
– good lithological contrast
USES
– palaeogeographic reconstruction
– prediction of centres of aeolian deposition
– reconstruction of aeolian bedforms
– direction of reservoir anisotropy
PITFALLS
– complex 3-D bedform geometry
– poor preservation of large bedforms
Sedimentology 1/62
Truncation Surface
Aeolian sediments – onlapping foresets
Sedimentology 1/63
Aeolian sediments – inclined surfaces
Sedimentology 1/64
Deep water clastic systems
Sedimentology 1/65
Sediment dispersal in turbidites
Simplified stereoplot/
azimuth histogram
(structural dip removed)
Channel axis
Shale beds
Slumps
Slumps
Scours
Bedding fabric
Sedimentology 1/66
Deep water clastic systems
STRUCTURES
– slumping/soft sediment deformation
– slide/glide planes
– bed-top relief
– erosional scours/bed bases
– compactional, drape features & (rare?) internal structures
USES
– regional/local palaeoslope
– local sandbody orientation (channels)
– lithology and net:gross
PITFALLS
– palaeoslope and palaeoflow difficult to distinguish
– disturbed zones masking transport information
– often wide scatter of palaeoflow data
Sedimentology 1/67
Deep water systems - debris flow
Debris flow
unit with
conductive
mudrock
clasts
Static & dynamic
FMI images
Sedimentology 1/68
Deep water systems - slumping
Slumping
within
mudrock
facies
Static &
dynamic
FMI images
Sedimentology 1/69
Deep water systems - massive sands
Zebra-stripe
artifact in
structureless
sands
RFT points
Sedimentology 1/70
Deep water clastic sediments
Static and dynamic
UBI images of deep
marine sandstones
Non-planar feature -
this represents
sandstone remobilised
during dewatering
Sedimentology 1/71
Fluvial systems
Sedimentology 1/72
Fluvial Systems
STRUCTURES
– unidirectional cross-stratification
– bounding surfaces
– channel-base scours
– compactional and drape structures
USES
– basin architecture reconstruction
– channel-belt orientation/sinuosity
– local palaeoslopes
– direction of reservoir anisotropy/heterogeneities
– fluid-flow pathways and barriers
PITFALLS
– bedform hierarchy concept critical
– caution in predicting channel patterns from palaeocurrent
data
Sedimentology 1/73
Deltaic systems
Sedimentology 1/74
Deltaic systems
STRUCTURES
– distributary channels - similar to fluvial
– small scale structures in interdistributaries
– range of structures & orientations in delta-top facies
(wave/tide influence)
– compactional structures potentially useful
USES
– delta front dip profiles may indicate progradational direction
– palaeocurrent patterns give clues to basinal regime
(waves, storms, tides)
– delta-top sandstone architecture
PITFALLS
– regional significance of palaeocurrent data from distributary
channels questionable
– rapid lateral changes in some delta systems
– soft sed. deformation may obliterate some structures
Sedimentology 1/75
Deltaic sediments
Static UBI image illustrating
deltaic sediments
The dark bands represent
coal horizons
Note the dramatic drop in
the density (red) and
porosity (blue) curves
Sedimentology 1/76
Deltaic sediments
Static UBI image
illustrating deltaic
sediments
Marine mudstones
appear laminated
in core, but are
difficult to distinguish
on the images
Sedimentology 1/77
Deltaic sediments
Static UBI
image
illustrating
cross-bedded
deltaic
sediments
Sedimentology 1/78
Marine clastic systems
Sedimentology 1/79
Marine clastic systems
STRUCTURES
– cross stratification (variable orientation)
– low angle lamination (0-10o)
– bimodal/bipolar foresets (tidal)
– hummocky cross-stratification
– mud drape/reactivation surfaces (tidal)
USES
– palaeogeography/basinal regime
– shoreline trend and transport direction
– evidence for tidal influence
– orientation of tidal shoals and shelf sand ridges
PITFALLS
– orientation of cross-stratification highly variable
– data from a single well not taken in isolation
– disruption due to bioturbation
Sedimentology 1/80
Marine clastic facies
Static and
dynamic
CBIL
images
Sedimentology 1/81
Marine clastic sediments
Static and
dynamic FMS
images
illustrating
cemented
(resistive/bright)
burrow traces
Sedimentology 1/82
Marine clastic sediments
UBI log
showing
thin bedded
marine
sands
OBDT log
over the
same
interval
Sedimentology 1/83
Marine clastic sediments
Static &
dynamically
normalised
UBI images of
thin bedded
marine sands
Sedimentology 1/84
Marine clastic sediments
UBI images of
marine
sandstones
Note
development of
large-scale
vuggy porosity
within carbonate
cemented sands
Sedimentology 1/85
Fluvial systems
Sedimentology 1/86
Fluvial Systems
STRUCTURES
– unidirectional cross-stratification
– bounding surfaces
– channel-base scours
– compactional and drape structures
USES
– basin architecture reconstruction
– channel-belt orientation/sinuosity
– local palaeoslopes
– direction of reservoir anisotropy/heterogeneities
– fluid-flow pathways and barriers
PITFALLS
– bedform hierarchy concept critical
– caution in predicting channel patterns from palaeocurrent
data
Sedimentology 1/87
Fluvial facies
Produce
sedimentological
description
Dynamic FMS image
Identify lithofacies
Manually pick dips &
classify
Sedimentology 1/88
• Identify features on the images.
• Identify sedimentary facies .
• Select the most reliable transport indicators (or
indicators) of sand body geometry.
• Remove structural dip.
• Construct azimuth histograms, vector plots etc and
reconstruct architecture if possible.
• Are the dip magnitudes and azimuth patterns typical
of these features?
• Is the azimuth scatter tolerable?
• Is there evidence for artefact data?
Palaeocurrent analysis method

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8a - Sedimentological methodology.ppt

  • 1. Sedimentology 1/1 Image log & dipmeter analysis course Sedimentological interpretation Part 1 methodology
  • 2. Sedimentology 1/2 Provide methodology for image interpretation - Interpretation confidence. - Image facies analysis. - Dip picking and interpretation. - Core calibration. The methodology can be demonstrated in a classroom; the rest is PRACTICE AND EXPERIENCE. Objective
  • 3. Sedimentology 1/3 – Core integration (if available). – Image facies description. – Image facies associations. – Dip picking. – Removal of structural dip. – Palaeotransport/ palaeoslope. – Sedimentological/environmental interpretation. – Identification of correlatable. surfaces/sequence boundaries. – Sequence stratigraphy. – Seismic integration. Description Interpretation Approach to image analysis
  • 4. Sedimentology 1/4 The best image interpreter has seen the most images (and the most rocks).
  • 5. Sedimentology 1/5 0.1 mm 1 mm 1 cm 10 cm 1 m 10 m 100 m 1 km 10 km CORE (Limited Coverage) 3D SEISMIC (Limited Resolution) BOREHOLE IMAGES bioturbation ripples dish structures/dewatering amalgamation surfaces soft sediment deformation scours/erosion surfaces grain size/bed thickness trends bedforms slumps unconformities channels fan lobes slide blocks channel lags Core calibration
  • 7. Sedimentology 1/7 Core versus images – complementary techniques Advantages Core • Quantify lithological, textural & mineralogical information. • Quantify f, K & saturation. • Good bed resolution. • Detail of bedding and/or lamination types. • And much more… Images • Larger aerial coverage. • Accurate orientation information. • Continuous regularly sampled dataset. • Good data on bedding and/or lamination continuity
  • 8. Sedimentology 1/8 Images • Provides little textural information in isolation. • Qualitative information on f, K & saturation. • Sensitive to borehole conditions. • How can we build confidence? Core versus images – complementary techniques Disadvantages Core • Geometry of sedimentary structures often unclear. • Often incomplete and difficult to depth match. • Orientation of structures commonly unclear.
  • 9. Sedimentology 1/9 Image generation Log quality control 1:500 Scale Structural analysis 1:200 Scale Annotate lithology 1:5 Scale Feature recognition 1:50 SCALE Graphic Log Local knowledge Modify facies types Review Dip types After Bourke 1992 Image interpretation sequence
  • 11. Sedimentology 1/11 • Grade 1 – Features which can be categorically identified • Grade 2 – Features which do not have a unique interpretation • Grade 3 – Features which are ambiguous, i.e. probably non-geological Image interpretation confidence
  • 13. Sedimentology 1/13 Interpret these features… 10 cm 6.
  • 15. Sedimentology 1/15 Open hole log data. Sedimentological interpretation of images. Image interpretation drag & drop Facies interpretation
  • 16. Sedimentology 1/16 Fabric index - determined via flash cards Mottling and loss of fabric in this example is due to bioturbation - hence we have a bioturbation index Handling textures
  • 19. Sedimentology 1/19 A Definition of ‘Lithofacies’ A sedimentary unit of distinctive lithology and internal sedimentary fabric .........................
  • 20. Sedimentology 1/20 “Basic building blocks for sequence analysis” HETS Lithofacies
  • 21. Sedimentology 1/21 Having identified lithofacies….. Grouped into Lithofacies Associations which are of environmental significance Retrogradational or progradational stacking of parasequence sets - these may be related to dip variations Grouped into Lithofacies Successions which are analagous to Parasequences Sequence Stratigraphy !
  • 22. Sedimentology 1/22 • The images (tool gamma ray) are depth-matched to the OH logs (gamma ray). • The core gamma ray is depth matched to the image gamma ray. Reference curve image log gamma ray Match curve core gamma ray Core-image depth matching • The core depth match is “fine tuned” to match image features.
  • 23. Sedimentology 1/23 Loading core photos with Borehole Images
  • 24. Sedimentology 1/24 Interpretation of features seen in images Facies interpretation Palaeotransport Core description log Image interpretation with core calibration
  • 25. Sedimentology 1/25 Top 1011’ Base 1012’ Goniometry Technique • The transparent goniometry sleeves are matched in width to the core circumference • Each sleeve has a central reference line which is matched to the MOL • The MOL provides an independent reference line for the measurement data and ensures that features marked on the sleeves are consistently oriented for each core set
  • 26. Sedimentology 1/26 Scribed core Primary knife Secondar y knives Data Collection • Sedimentary and tectonic features are traced onto the sleeve and annotations made of features & lithology • Positions of primary and secondary knives are recorded (scribed core) • Sleeves are unwrapped, photo- reduced and spliced into A4- sized image panels • The panels are then digitised and transferred into continuous depth-based Terrasciences files
  • 27. Sedimentology 1/28 Fluvial • Shale bedding • Sandstone bedding • High-angle x-strat • Low-angle x-strat • Parallel lamination • Erosion surface • Reactivation surface • Bounding surface Marginal • Shale bedding • Sandstone bedding • High-angle x-strat • Low-angle x-strat • HCS • Bioturbation • Heterolithics • Cementation • Sandstone base Turbidites • Shale bedding • Sandstone bedding • Sandstone base • Sandstone top • Scours • Slumps • Detachments • Axial planes ……and any structural features. Dip classification scheme
  • 28. Sedimentology 1/29 Interpretability is primarily based on image quality but can be aided by the “local knowledge’ approach Measuring confidence is subjective; consistency is important. Image interpretation confidence
  • 29. Sedimentology 1/30 • Dips are picked on features seen in the static (left) and dynamic (right) images and using the open hole logs. • Dips are appropriately classified. • Facies are identified and colours assigned in the right hand column. • Genetically related facies are grouped into facies associations and colours are assigned in the left hand column. • Schemes are refined as the interpretation continues. Image interpretation lithofacies collation
  • 30. Sedimentology 1/31 Dry Sandflat Dry Sandflat Good Good <5 Poor Poor N/A Aeolian Dune Aeolian Dune <35-65 API Good Good >15 Good Good Button to Button Pad to Pad Dip Angle Clasts? <15 >5 Facies Associations Description Environment GR Response High angle cross- beds. Axh Axg Al Am Aw Sap Low angle cross-beds. Planar stratification. Wavy lamination - >20% clay Wavy lamination - <20% clay Massive Damp Sandsheet Damp Sandflat Moderate to good Poor to moderate Variable low angle Moderate to good Poor to moderate Variable low angle <35-65 API <35-65 API <40-75 API Density & porosity 2.5-2.6g/cc 3% 2.5-2.6g/cc 3% 2.55- 2.7g/cc 3% <35-90 API 2.5-2.6g/cc 3% 2.45g/cc 3-8% No data No data Lithofacies associations Fluvio-aeolian succession
  • 31. Sedimentology 1/32 Aeolian dune Dry interdune/dune apron Damp/wet interdune Mudflat Fluvial sheet flood Playa lake mudrocks Depositional environments
  • 32. Sedimentology 1/33 Image log & dipmeter analysis course Sedimentological interpretation Sediment dispersal
  • 35. Sedimentology 1/36 Planar & Trough cross-bedding Planar cross bedding Trough cross bedding
  • 37. Sedimentology 1/38 Bedding Channel base Closed fractures Open fractures Simulated borehole track Bedform reconstruction - perception
  • 38. Sedimentology 1/39 1. Recognition of palaeohorizontal. 2. Determination of structural dip. 3. Structural dip removal from the dip data set. 4. Assess sediment dispersal orientations. 5. Refine dip classification scheme. 6. Repeat 4 and 5 as necessary. Sediment dispersal methodology
  • 39. Sedimentology 1/40 • Recognition of originally horizontal sediments (particularly mudrocks) is key to structural and sediment dispersal analyses (palaeotransport/ palaeoslope). • Sediments deposited horizontally are structural dip indicators (<20% of strata are deposited horizontally). • Removal of the structural dip component from the dip data set allows for analysis of sediment transport. Palaeohorizontal
  • 41. Sedimentology 1/42 Raw data Black dips are shales Structural dip removal
  • 42. Sedimentology 1/43 Shale dips are now centred at 0° There is a wide spread of the remaining dip types Structural dip removed
  • 43. Sedimentology 1/44 Tectonic tilt removal – sensitivity Cross-bedded sandstone succession
  • 44. Sedimentology 1/45 Tectonic tilt removal – sensitivity Flat-bedded sandstone succession
  • 45. Sedimentology 1/46 Statistical local curvature techniques Cross bed sets deposited on horizontal surface Axis of curvature Poles to bedding planes Tilting and generation of structural dip Poles to bedding describe a plane, the pole to which (axis of curvature) is in the plane of structural dip. The axis of curvature of multiple, variably oriented bed sets define the structural dip. Structural dip.
  • 47. Sedimentology 1/48 Axial Trend Analyses Genetically related deformed surfaces will plot on a great circle (with some natural scatter), and the pole (or axis) to that great circle will define the overall trend of the architecture (fold or slump axis).
  • 48. Sedimentology 1/49 • Dips in the 5-15o range are critical to defining reservoir architecture and dispersal orientations. • Identify angular unconformities. • Direct measurement of stratal geometry. • Orientation of major bounding surfaces. e.g. incised features, flooding surfaces • Analyse changes in depositional regime and sediment dispersal at key surfaces. Palaeotransport interpretation
  • 49. Sedimentology 1/50 Unimodal mode perpendicular to current. e.g. point bar master bedding. Bipolar azimuthal patterns in cross bedding deposited by unidirectional currents. small reverse azimuth spread due to antidune cross bedding. Bipolar cross bedding with transport axis perpendicular to angle of repose. e.g. seif dunes Bipolar palaeocurrents with perpendicular mode. e.g. turbidite erosional and slump structures. after Selley, 1972 Palaeocurrent significance
  • 50. Sedimentology 1/51 Top Base North Sedimentary dips structural dip removed Changes in sediment dispersal may be correlated between wells Changes in sediment dispersion direction
  • 51. Sedimentology 1/52 North Inclined intraset surfaces Set boundary Set boundary Set boundary Coset boundary Bedform reconstruction
  • 52. Sedimentology 1/53 Local versus regional palaeocurrent variation in one reach of a fluvial depositional system. Local versus regional trends
  • 53. Sedimentology 1/54 Miall 1974 Local versus regional trends Systems Channels Meanders Bars in meanders Cross beds flanking bars Ripple foresets
  • 57. Sedimentology 1/58 • In order to interpret sediment dispersal, an appropriate conceptual depositional model is required. • This involves the understanding of: • The spatial arrangement of different hierarchies of bedding surfaces. • The implications of these geometries for sedimentation. • Bedform orientation. Bedform reconstruction
  • 58. Sedimentology 1/59 • Identify features on the images. • Identify sedimentary facies . • Select the most reliable transport indicators (or indicators) of sand body geometry. • Remove structural dip. • Construct azimuth histograms, vector plots etc and reconstruct architecture if possible. • Are the dip magnitudes and azimuth patterns typical of these features? • Is the azimuth scatter tolerable? • Is there evidence for artefact data? Palaeocurrent analysis method
  • 60. Sedimentology 1/61 Aeolian systems STRUCTURES – large scale aeolian foresets – bounding surfaces – distinctive lamination types – good lithological contrast USES – palaeogeographic reconstruction – prediction of centres of aeolian deposition – reconstruction of aeolian bedforms – direction of reservoir anisotropy PITFALLS – complex 3-D bedform geometry – poor preservation of large bedforms
  • 61. Sedimentology 1/62 Truncation Surface Aeolian sediments – onlapping foresets
  • 62. Sedimentology 1/63 Aeolian sediments – inclined surfaces
  • 63. Sedimentology 1/64 Deep water clastic systems
  • 64. Sedimentology 1/65 Sediment dispersal in turbidites Simplified stereoplot/ azimuth histogram (structural dip removed) Channel axis Shale beds Slumps Slumps Scours Bedding fabric
  • 65. Sedimentology 1/66 Deep water clastic systems STRUCTURES – slumping/soft sediment deformation – slide/glide planes – bed-top relief – erosional scours/bed bases – compactional, drape features & (rare?) internal structures USES – regional/local palaeoslope – local sandbody orientation (channels) – lithology and net:gross PITFALLS – palaeoslope and palaeoflow difficult to distinguish – disturbed zones masking transport information – often wide scatter of palaeoflow data
  • 66. Sedimentology 1/67 Deep water systems - debris flow Debris flow unit with conductive mudrock clasts Static & dynamic FMI images
  • 67. Sedimentology 1/68 Deep water systems - slumping Slumping within mudrock facies Static & dynamic FMI images
  • 68. Sedimentology 1/69 Deep water systems - massive sands Zebra-stripe artifact in structureless sands RFT points
  • 69. Sedimentology 1/70 Deep water clastic sediments Static and dynamic UBI images of deep marine sandstones Non-planar feature - this represents sandstone remobilised during dewatering
  • 71. Sedimentology 1/72 Fluvial Systems STRUCTURES – unidirectional cross-stratification – bounding surfaces – channel-base scours – compactional and drape structures USES – basin architecture reconstruction – channel-belt orientation/sinuosity – local palaeoslopes – direction of reservoir anisotropy/heterogeneities – fluid-flow pathways and barriers PITFALLS – bedform hierarchy concept critical – caution in predicting channel patterns from palaeocurrent data
  • 73. Sedimentology 1/74 Deltaic systems STRUCTURES – distributary channels - similar to fluvial – small scale structures in interdistributaries – range of structures & orientations in delta-top facies (wave/tide influence) – compactional structures potentially useful USES – delta front dip profiles may indicate progradational direction – palaeocurrent patterns give clues to basinal regime (waves, storms, tides) – delta-top sandstone architecture PITFALLS – regional significance of palaeocurrent data from distributary channels questionable – rapid lateral changes in some delta systems – soft sed. deformation may obliterate some structures
  • 74. Sedimentology 1/75 Deltaic sediments Static UBI image illustrating deltaic sediments The dark bands represent coal horizons Note the dramatic drop in the density (red) and porosity (blue) curves
  • 75. Sedimentology 1/76 Deltaic sediments Static UBI image illustrating deltaic sediments Marine mudstones appear laminated in core, but are difficult to distinguish on the images
  • 76. Sedimentology 1/77 Deltaic sediments Static UBI image illustrating cross-bedded deltaic sediments
  • 78. Sedimentology 1/79 Marine clastic systems STRUCTURES – cross stratification (variable orientation) – low angle lamination (0-10o) – bimodal/bipolar foresets (tidal) – hummocky cross-stratification – mud drape/reactivation surfaces (tidal) USES – palaeogeography/basinal regime – shoreline trend and transport direction – evidence for tidal influence – orientation of tidal shoals and shelf sand ridges PITFALLS – orientation of cross-stratification highly variable – data from a single well not taken in isolation – disruption due to bioturbation
  • 79. Sedimentology 1/80 Marine clastic facies Static and dynamic CBIL images
  • 80. Sedimentology 1/81 Marine clastic sediments Static and dynamic FMS images illustrating cemented (resistive/bright) burrow traces
  • 81. Sedimentology 1/82 Marine clastic sediments UBI log showing thin bedded marine sands OBDT log over the same interval
  • 82. Sedimentology 1/83 Marine clastic sediments Static & dynamically normalised UBI images of thin bedded marine sands
  • 83. Sedimentology 1/84 Marine clastic sediments UBI images of marine sandstones Note development of large-scale vuggy porosity within carbonate cemented sands
  • 85. Sedimentology 1/86 Fluvial Systems STRUCTURES – unidirectional cross-stratification – bounding surfaces – channel-base scours – compactional and drape structures USES – basin architecture reconstruction – channel-belt orientation/sinuosity – local palaeoslopes – direction of reservoir anisotropy/heterogeneities – fluid-flow pathways and barriers PITFALLS – bedform hierarchy concept critical – caution in predicting channel patterns from palaeocurrent data
  • 86. Sedimentology 1/87 Fluvial facies Produce sedimentological description Dynamic FMS image Identify lithofacies Manually pick dips & classify
  • 87. Sedimentology 1/88 • Identify features on the images. • Identify sedimentary facies . • Select the most reliable transport indicators (or indicators) of sand body geometry. • Remove structural dip. • Construct azimuth histograms, vector plots etc and reconstruct architecture if possible. • Are the dip magnitudes and azimuth patterns typical of these features? • Is the azimuth scatter tolerable? • Is there evidence for artefact data? Palaeocurrent analysis method