SlideShare a Scribd company logo
11
Oliver C. Mullins, Schlumberger
and One Zillion Collaborators
Reservoir Evaluation &
Reservoir Fluid Geodynamics (RFG)
1) RFG: DFA and Thermodynamics
2) Connectivity and Equilibrated Asphaltenes
3) Disequilibrium and RFG Processes
4) Tar Formation
5) GCxGC & Geochemistry
OUTLINE
Basin modeling gives fluid
type, timing, volumes
INTO reservoir
Geologic Time Line
Almost No Modeling
of in-Reservoir
Fluid Geodynamics
No
Modeling
Modeling of
Production in Eclipse
Production Time Line
Missing Component of Reservoir Understanding and Modeling
Reservoir Fluid Geodynamics
Petroleum System
FILLS Reservoir
Reservoir Fluid Geodynamics
Redistributes Fluids & Tar Formation
Simulation
Produces Reservoir
Reservoir Fluid Geodynamics
Redistributes Fluids and Yields Tar Formation After Charge
Time Line
Geologic Past Present Day
Asphaltene Nanoscience
Asphaltene Thermodynamics
Diffusion
Fluid Mechanics
Reservoir Fluid Geodynamics Requirements:
Comprehensive
Science
DFA Data
of Reservoir
Reservoir Evaluation
Case Studies
Vertical, Lateral
Fluid
in Fields
Reservoir
Fluid Geodynamics
Fault block migration,
Formation overturn,
Gas charge into oil,
Tar mat formation,
Viscosity gradients,
Biodegradation & diffusion
F = mg. Newton’s 2nd Law
Peng-Robinson EoS 1976
HC
Liquids
Gas-Liquid Fluid- (dissolved) Solid
Flory-Huggins-Zuo EoS 2010
Yen-Mullins Model 2010
Gas
Cubic EoS Gas-Liquid
Crude Oil Thermodynamics; Asphaltenes Now Included.
No Predictions Without Asphaltenes of Heavy Oil, Tar, Viscosity…
Asphaltenes:
Van Der Waals EoS 1873
First High Resolution Images of Asphaltene Molecules
Agree with Yen-Mullins Model
IBM Zurich IBM Zurich, Schlumberger… Published in J. Amer. Chem. Soc.
Nobel Prize
for STM
STM Expt.
AFM Expt. AFM Expt.Atoms and Bonds
MO TheoryElectron Orbital
7
2nd Optical
Analyzer
1st Optical
Analyzer
Pump
Sample
Bottles
Probes
Probe
(extended)
7
Downhole Fluid
Analysis (DFA)
Measure
Oil Color
Reservoir Fluid
Geodynamics
Petroleum System
Context
Gas Charge into Oil
Diffusion GOR Gradient
Different Reservoir
Realizations
Diffusion
& Convection
Fault Throw
Biodegradation
& Diffusion
Not Equilibrated
Gas Charge into Flank
Heavy Oil & Tar Mat
Connectivity
“Gas Flood” Local GOR Increase but
Connected
Compartments
Reservoir Baffling;
Low Production
Regional Viscosity
Gradients
Spill-Fill with
Biodegradation
Big Viscosity Trends
Tar in Natural
Fractions
No Production
in Flank
Gas Sweep & Tar GOR Gradient, Mobile Tar
Geologic Time
Diffusion/Mixing Connectivity
Equilibrated Asphaltenes (FHZ EoS)  Connected Reservoirs
Proven in Production in all Fluid Types
Volatile OilCondensate
9
Heavy Oil:100 kilometer length, 60 Meter  10x Gradient.
Matches FHZ with Yen-Mullins. No Adjustable Parameters Convective
Currents
Tar
No Adjustable
Parameters
Asphaltene Equilibration  Reservoir Connected
Proven in Production
Tar
Giant Asphaltene Gradient NOT a Maturity Gradient !
From Convective Currents of Asphaltene-Enriched Oil.
12
CH4
CH4
CH4
CH4
High
GOR
Low
Asphltn
Low
GOR
High
Asphtn
Diffusive
Gas Front
0
1
2
3
4
5
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
020406080100
Height(meters)
Cluster
Gradient
0
GOR scf/bbl
2k 4k 6k 8k
4k 6k 8k 10k 12k
Saturation Pressure (psi)
CH4
Connected Reservoir But Not Equilibrated.
Recent Gas Charge Into Oil. Diffusion  Large GOR Gradients.
Asphaltene Expulsion. Convection Large Asphaltene Gradients.
Gravity Current
Pumps Asphaltenes to Base
Diffusion Gives
HUGE GOR
Gradient at Top
3 Adjacent Fault Blocks. Same Petroleum System.
3 Entirely Different Realizations.
Asphaltene Content in Liquid Phase
• Well 1:
– large disequilibrium
– high Asphaltene Content
• Well 2 & Well 3:
– oil equilibrated
– low Asphaltene Content
Where did the Asphaltene go?
How and Why?
Fault Block 1. GIANT Disequilibrium in 40 Meters !!!
Pleistocene condensate charge into Oil Reservoir
Gas Diffusion and Asphaltene Migration Ongoing
DFA Asphaltenes
Depth(meters)
GOC
OWC
1) 1st Movie of Tar Mat Formation
2) Different Gradients Due to Baffling. Production Differs by 10x.
Well 1. Baffled. NOT Equilibrated
Low DST Production Rate
Well 2. Equilibrated.
High Production.
Asph GOR Core Ex
Equilibrated; Tiny Fluid Gradients
Late Gas
Charge
Into Oil
Reservoir
Initial
Gas
Asphaltene
1 2
OD
120 180
GOR m3
/m3
Asphaltenes GOR
TVD
Not Equilibrated; Huge Gradients
0
OD
Tar
Tiny
Asphtn
FHZEoS
TAR
600
%AsphGOR
200180
SLOW Diffusion FAST Diffusion
SEM. Tar Mat. Phase Separated Asphaltene
Trapped
Oil
Shale
Baffle
Well 3. Density Stacking / Vertical Charge Above Shale. “Tar Mat”
Asphaltenes Throughout.
Core %Asphaltene
Tar on
Shale
FB/Well #3
Asphaltenes
On Baffle
Methane diffusionAsphaltene
Diffusion
(Slow)
Lateral
Gas
Sweep
H2O
Vertical Gas Sweep
Shale
Lateral Sweep in Trap Filling Below Shale.
FB 1. Baffled.
BIG Gradients
Low DST Rate
FB 2. Equilibrated.
Tar Mat
High Production.
Late
Gas
Charge
Into
Oil
Resrvr
SAME
Initial
Point
Gas
Asphaltene
1 2
OD
Asphaltenes
TVD
Not Equilibrated;
Huge Gradients
Asph
Equilibrated;
Tiny Fluid Gradients
0
OD
Tar
Tiny
Asphtn
FHZEoS
Core Ex
TAR
600
%Asph
%Aspht
FB 3. Equilibrated.
Tar on Shale.
Aspht Coating
Near Charge Point.
Lateral ChargeGood SandPoor Sand, Many NF.
RFG: Late Gas into Oil. 3 Very Different Realizations.
Primary Sand Connected and Equilibrated Asphaltenes.
Flank Not Equilibrated. Connected?
Well B: Mud gas isotope:
dC13
Lateral Sweep. Surge in Gas, GOR Across Field. Connected.
DFA GOR
surge across field
Well B: DFA GOR
GOR
Well A
Well B
Reservoir Connected !!!
New ! Not in Literature.
280
300
320
340
360
380
400
420
440
460
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8
TVDSS m
OD at ch[5]
Mud filtrate
No n-alkanes
Many n-alkanes
GC Confirms Biodegradation at/near OWC
OBM contamination
IMPACT OF BIODEGRADATION
DFA Color. Asphaltene Content
270
310
350
390
430
470
0.0 0.5 1.0 1.5 2.0
TVDss, m
OD & Asphaltene
Alkanes Consumed at OWC
FHZ w Diffusion
FHZ (2nm)
Diffusion Has not yet reached this high
Biodegradation and Diffusion.
Severe Biodegradation TRIPLED Asphaltene Content PM 06
3x
Oil Volume
Alkane
Consumption
via Biodegradation
Concentrates Asphaltenes
ALKANE
Diffusion
DFA Color / Asphaltene Increase is 3X
from Deep to Shallow Reservoir
Naphthalene
1-Methyl Naphthalene
2-Methyl Naphthalene
C2-Naphthalenes
C3-Naphthalenes
Hopanes
Resv:1
Thermal Maturity
Contamination
Water Washing
GCxGC
1st Column
2ndColumn
Peters-Moldowan = 2
Resv: 1
Resv: 4
Peters-Moldowan = 4
Minimal Water Washing
Moderate Water Washing
Peters-Moldowan = 6
(25-Norhopanes appeared)
Extensive Water Washing
Resv: 6
Naphthalene
Naphthalene
Naphthalene
C2-Naphthalene
C2-Naphthalene
C2-Naphthalene
C4-Naphthalene
C4-Naphthalene
C4-Naphthalene
3X Increase in Asphaltenes:
• PM 2 6
• Water Washing (Assisted by Biodegradation)
• Some Maturity Variation
Asphaltenes
Early Oil Tar Stuck in Charge Plane Makes No Sense (to me).
60oC
1st Cold, Solid Bitumen Exits
NanoDarcy! (Sink in Water?)
Then Heats Up !
Reservoir (say 100oC)
Greatly Decreasing Viscosity
Hot Roofing Tar
Drilling Hazard Tar.
Then the Hot Tar Gets Stuck in the Grand Canyon
(or giant fault). Can’t Get Out !!
(or JUST maybe there is another explanation)
Reservoir Fluid Geodynamics can provide the answer.
Conclusions
Reservoir Fluid Geodynamics (RFG):
Redistribution of Fluids, Tar After Charge.
A New Way to Evaluate Reservoirs
RFG Enabled by Asphaltene Thermodynamics, DFA & Case Studies
Equilibrated Asphaltenes  Reservoir Connectivity.
Disequilibrium  Geodynamic Processes.
Charging, Baffling, Diffusion, Convection, Phase change /Tar etc.
Chemical Composition; GCxGC with Geochemistry
Compare with Thermodynamics.
Drilling Hazard Tar Needs a New Look.
Universal DFA Workflows to Address Most Reservoir Concerns.
Petroleum System
FILLS Reservoir
Present Day
0 Ma After
Charge
3 Ma After Charge:
Asphaltenes Equilibrated
~12 Ma After Charge:
Biomarkers Equilibrate
Asphaltenes Equilibrate FASTER than Biomarkers
Due to Charge Sequence.
Same as Tornado…?
Diffusion
More
Diffusion
Reservoir
Charge
Liquids
Liquids
Liquids
TVDSS
TVDSS
TVDSS
Gas
Gas
Gas
Geologic Past
Density Stacking of Crude Oils.
First Heavy Oils, Then Light Oils.
No Tat Mat. Core Extracts Merely Contain Oil.
Fault Block 1.
Giant Disequilibrium in 40 Meters!!.
Late
Gas
Charge
Into
Oil
Reserv
oir
Initial
Gas
Asphaltene
Current
Asphaltene in Oil Asphaltene in Core Extracts
Gas Charge
into Oil
Gas Charge into Oil Reservoir & Reservoir Fluid Geodynamics
Diffusion
Convection
Heavy Oil /Tar
Flank Charge
& Seal Failure
Tar Occlusion in
Natural Fractures
DS Report
Independent
Low Production
Drilling Hazard
OTC Paper
Different Production Concerns: Connectivity, PI, Tar Mat, Viscosity…
DFA Color / Asphaltenes r
g/cc
GORPressure
Not Equilibrated
Poor Production
Equilibrated
Good Production
Connectivity, Baffling, Compartments;
DFA Gradients and Production
Connectivity.
Low GOR Black Oil.
Tahiti Field
38
Pressure:
Two Stacked Sands
Chevron
Uplift
Causes
Faulting
DW
0 2 3
x4
x6
x7
TVD
Feet
103
DFA Color  %Asphtn
In Each Main Sand: Equilibrated Asphaltenes: CONNECTED.
Proven Correct in Production.





 

kT
hgV
ODhOD
r
exp)0()(
OilColumn
Dia ~ 2nm
1
FHZ EoS

More Related Content

What's hot

The Intersection of Environment and EOR: How Carbon Capture is Changing Terti...
The Intersection of Environment and EOR: How Carbon Capture is Changing Terti...The Intersection of Environment and EOR: How Carbon Capture is Changing Terti...
The Intersection of Environment and EOR: How Carbon Capture is Changing Terti...
Society of Petroleum Engineers
 
CBM Reservoir Simulation
CBM Reservoir SimulationCBM Reservoir Simulation
CBM Reservoir SimulationJameel Akbar
 
110510 tracers in heavy oil
110510 tracers in heavy oil110510 tracers in heavy oil
110510 tracers in heavy oil
ifeinfo
 
GAS READING WHILE DRILLING
GAS READING WHILE DRILLINGGAS READING WHILE DRILLING
GAS READING WHILE DRILLING
jeanboumsong
 
4 1 reservoir-drive_mechanisms
4 1 reservoir-drive_mechanisms4 1 reservoir-drive_mechanisms
4 1 reservoir-drive_mechanisms
Atils
 
Q922+re2+l03 v1
Q922+re2+l03 v1Q922+re2+l03 v1
Q922+re2+l03 v1AFATous
 
Compositional Simulations that is Truly Compositional - Russell Johns
Compositional Simulations that is Truly Compositional - Russell JohnsCompositional Simulations that is Truly Compositional - Russell Johns
Compositional Simulations that is Truly Compositional - Russell Johns
Society of Petroleum Engineers
 
Compressed hydrogen2011 11_chato
Compressed hydrogen2011 11_chatoCompressed hydrogen2011 11_chato
Compressed hydrogen2011 11_chato
David Chato
 
Q921 re1 lec4 v1
Q921 re1 lec4 v1Q921 re1 lec4 v1
Q921 re1 lec4 v1AFATous
 
5 eor chemical-methods,
5 eor chemical-methods,5 eor chemical-methods,
5 eor chemical-methods,
Guillermo Daniel Criniti
 
Site 28 Supplemental Investigation
Site 28 Supplemental InvestigationSite 28 Supplemental Investigation
Site 28 Supplemental Investigation
Steve Williams
 
Well Log Analysis
Well Log AnalysisWell Log Analysis
Well Log Analysis
Sanjan Das
 
F041223744
F041223744F041223744
F041223744
IOSR-JEN
 
Estmation of oil & gas proven probable posiible
Estmation of oil & gas proven probable posiibleEstmation of oil & gas proven probable posiible
Estmation of oil & gas proven probable posiible
Narendra Kumar Dewangan
 
Modeling of Propellant Tank Pressurization
Modeling of Propellant Tank PressurizationModeling of Propellant Tank Pressurization
Modeling of Propellant Tank PressurizationAmr Darwish
 
SPE-164580
SPE-164580SPE-164580
Oral defense (modified)
Oral defense (modified)Oral defense (modified)
Oral defense (modified)dapenti
 
Site 28 In Situ Abiotic/Biotic Treatability Study Implementation
Site 28 In Situ Abiotic/Biotic Treatability Study ImplementationSite 28 In Situ Abiotic/Biotic Treatability Study Implementation
Site 28 In Situ Abiotic/Biotic Treatability Study Implementation
Steve Williams
 

What's hot (20)

The Intersection of Environment and EOR: How Carbon Capture is Changing Terti...
The Intersection of Environment and EOR: How Carbon Capture is Changing Terti...The Intersection of Environment and EOR: How Carbon Capture is Changing Terti...
The Intersection of Environment and EOR: How Carbon Capture is Changing Terti...
 
CBM Reservoir Simulation
CBM Reservoir SimulationCBM Reservoir Simulation
CBM Reservoir Simulation
 
110510 tracers in heavy oil
110510 tracers in heavy oil110510 tracers in heavy oil
110510 tracers in heavy oil
 
GAS READING WHILE DRILLING
GAS READING WHILE DRILLINGGAS READING WHILE DRILLING
GAS READING WHILE DRILLING
 
4 1 reservoir-drive_mechanisms
4 1 reservoir-drive_mechanisms4 1 reservoir-drive_mechanisms
4 1 reservoir-drive_mechanisms
 
Q922+re2+l03 v1
Q922+re2+l03 v1Q922+re2+l03 v1
Q922+re2+l03 v1
 
Compositional Simulations that is Truly Compositional - Russell Johns
Compositional Simulations that is Truly Compositional - Russell JohnsCompositional Simulations that is Truly Compositional - Russell Johns
Compositional Simulations that is Truly Compositional - Russell Johns
 
Compressed hydrogen2011 11_chato
Compressed hydrogen2011 11_chatoCompressed hydrogen2011 11_chato
Compressed hydrogen2011 11_chato
 
Q921 re1 lec4 v1
Q921 re1 lec4 v1Q921 re1 lec4 v1
Q921 re1 lec4 v1
 
5 eor chemical-methods,
5 eor chemical-methods,5 eor chemical-methods,
5 eor chemical-methods,
 
Site 28 Supplemental Investigation
Site 28 Supplemental InvestigationSite 28 Supplemental Investigation
Site 28 Supplemental Investigation
 
Well Log Analysis
Well Log AnalysisWell Log Analysis
Well Log Analysis
 
F041223744
F041223744F041223744
F041223744
 
Estmation of oil & gas proven probable posiible
Estmation of oil & gas proven probable posiibleEstmation of oil & gas proven probable posiible
Estmation of oil & gas proven probable posiible
 
Buonicore, anthony edr
Buonicore, anthony  edrBuonicore, anthony  edr
Buonicore, anthony edr
 
Modeling of Propellant Tank Pressurization
Modeling of Propellant Tank PressurizationModeling of Propellant Tank Pressurization
Modeling of Propellant Tank Pressurization
 
SPE-164580
SPE-164580SPE-164580
SPE-164580
 
Oral defense (modified)
Oral defense (modified)Oral defense (modified)
Oral defense (modified)
 
Site 28 In Situ Abiotic/Biotic Treatability Study Implementation
Site 28 In Situ Abiotic/Biotic Treatability Study ImplementationSite 28 In Situ Abiotic/Biotic Treatability Study Implementation
Site 28 In Situ Abiotic/Biotic Treatability Study Implementation
 
Polymer injection eor
Polymer injection eorPolymer injection eor
Polymer injection eor
 

Similar to 2016 mullins hogs

Asphaltene Gradients, Connectivity and Tar Mats All Treated by Simple Chemist...
Asphaltene Gradients, Connectivity and Tar Mats All Treated by Simple Chemist...Asphaltene Gradients, Connectivity and Tar Mats All Treated by Simple Chemist...
Asphaltene Gradients, Connectivity and Tar Mats All Treated by Simple Chemist...
Society of Petroleum Engineers
 
Middle stage production period in messla field
Middle stage production period in messla fieldMiddle stage production period in messla field
Middle stage production period in messla field
Shakier Khalifa
 
SPE-942221-G-P.pdf
SPE-942221-G-P.pdfSPE-942221-G-P.pdf
SPE-942221-G-P.pdf
AdianAndrews1
 
DEVELOPMENTS IN MARINE GAS HYDRATES
DEVELOPMENTS IN MARINE GAS HYDRATESDEVELOPMENTS IN MARINE GAS HYDRATES
DEVELOPMENTS IN MARINE GAS HYDRATES
Modou.L. Jarju
 
Trickle bed reactors
Trickle bed reactorsTrickle bed reactors
Trickle bed reactorsWaleed Akbar
 
Cdw sed tank_tech_memo1111
Cdw sed tank_tech_memo1111Cdw sed tank_tech_memo1111
Cdw sed tank_tech_memo1111Mazen Alqadi
 
1.5 "Environmental Concern and QA/QC in Shale Gas Drilling and Fracturing" - ...
1.5 "Environmental Concern and QA/QC in Shale Gas Drilling and Fracturing" - ...1.5 "Environmental Concern and QA/QC in Shale Gas Drilling and Fracturing" - ...
1.5 "Environmental Concern and QA/QC in Shale Gas Drilling and Fracturing" - ...Pomcert
 
20100022074
2010002207420100022074
20100022074
jangoam123
 
Hydrate Formation During Transport of Natural Gas Containing Water And Impuri...
Hydrate Formation During Transport of Natural Gas Containing Water And Impuri...Hydrate Formation During Transport of Natural Gas Containing Water And Impuri...
Hydrate Formation During Transport of Natural Gas Containing Water And Impuri...
IJERDJOURNAL
 
reservoir engineering
reservoir engineeringreservoir engineering
reservoir engineering
behnamproeng
 
Gas hydrates challenge
Gas hydrates challengeGas hydrates challenge
Gas hydrates challengeStatoil
 
Formation Damage
Formation DamageFormation Damage
74. salt coupled thm processes tough flac) - salt rutqvist
74. salt coupled thm processes tough flac) - salt rutqvist74. salt coupled thm processes tough flac) - salt rutqvist
74. salt coupled thm processes tough flac) - salt rutqvist
leann_mays
 
Gas Production Technology
Gas Production TechnologyGas Production Technology
Gas Production Technology
Risman BizNet
 
Vapor Limits HPOct06
Vapor Limits HPOct06Vapor Limits HPOct06
Vapor Limits HPOct06Pierre Latour
 
Q921 log lec3 v1
Q921 log lec3 v1Q921 log lec3 v1
Q921 log lec3 v1AFATous
 
AICHE 15 VORTEX + MASS TRANSFER
AICHE 15   VORTEX + MASS TRANSFERAICHE 15   VORTEX + MASS TRANSFER
AICHE 15 VORTEX + MASS TRANSFER
Richard Grenville
 
CSC Benchmarking Resource Plays
CSC Benchmarking Resource PlaysCSC Benchmarking Resource Plays
CSC Benchmarking Resource Plays
seifertm
 

Similar to 2016 mullins hogs (20)

Asphaltene Gradients, Connectivity and Tar Mats All Treated by Simple Chemist...
Asphaltene Gradients, Connectivity and Tar Mats All Treated by Simple Chemist...Asphaltene Gradients, Connectivity and Tar Mats All Treated by Simple Chemist...
Asphaltene Gradients, Connectivity and Tar Mats All Treated by Simple Chemist...
 
Middle stage production period in messla field
Middle stage production period in messla fieldMiddle stage production period in messla field
Middle stage production period in messla field
 
SPE-942221-G-P.pdf
SPE-942221-G-P.pdfSPE-942221-G-P.pdf
SPE-942221-G-P.pdf
 
DEVELOPMENTS IN MARINE GAS HYDRATES
DEVELOPMENTS IN MARINE GAS HYDRATESDEVELOPMENTS IN MARINE GAS HYDRATES
DEVELOPMENTS IN MARINE GAS HYDRATES
 
Trickle bed reactors
Trickle bed reactorsTrickle bed reactors
Trickle bed reactors
 
Cdw sed tank_tech_memo1111
Cdw sed tank_tech_memo1111Cdw sed tank_tech_memo1111
Cdw sed tank_tech_memo1111
 
1.5 "Environmental Concern and QA/QC in Shale Gas Drilling and Fracturing" - ...
1.5 "Environmental Concern and QA/QC in Shale Gas Drilling and Fracturing" - ...1.5 "Environmental Concern and QA/QC in Shale Gas Drilling and Fracturing" - ...
1.5 "Environmental Concern and QA/QC in Shale Gas Drilling and Fracturing" - ...
 
20100022074
2010002207420100022074
20100022074
 
Hydrate Formation During Transport of Natural Gas Containing Water And Impuri...
Hydrate Formation During Transport of Natural Gas Containing Water And Impuri...Hydrate Formation During Transport of Natural Gas Containing Water And Impuri...
Hydrate Formation During Transport of Natural Gas Containing Water And Impuri...
 
reservoir engineering
reservoir engineeringreservoir engineering
reservoir engineering
 
Gas hydrates challenge
Gas hydrates challengeGas hydrates challenge
Gas hydrates challenge
 
Formation Damage
Formation DamageFormation Damage
Formation Damage
 
74. salt coupled thm processes tough flac) - salt rutqvist
74. salt coupled thm processes tough flac) - salt rutqvist74. salt coupled thm processes tough flac) - salt rutqvist
74. salt coupled thm processes tough flac) - salt rutqvist
 
Gas Production Technology
Gas Production TechnologyGas Production Technology
Gas Production Technology
 
Vapor Limits HPOct06
Vapor Limits HPOct06Vapor Limits HPOct06
Vapor Limits HPOct06
 
Bubblecolumn(1)
Bubblecolumn(1)Bubblecolumn(1)
Bubblecolumn(1)
 
Q921 log lec3 v1
Q921 log lec3 v1Q921 log lec3 v1
Q921 log lec3 v1
 
AICHE 15 VORTEX + MASS TRANSFER
AICHE 15   VORTEX + MASS TRANSFERAICHE 15   VORTEX + MASS TRANSFER
AICHE 15 VORTEX + MASS TRANSFER
 
CSC Benchmarking Resource Plays
CSC Benchmarking Resource PlaysCSC Benchmarking Resource Plays
CSC Benchmarking Resource Plays
 
Snehesh-Presentation-PDF
Snehesh-Presentation-PDFSnehesh-Presentation-PDF
Snehesh-Presentation-PDF
 

Recently uploaded

UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
DianaGray10
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Product School
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Product School
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 

Recently uploaded (20)

UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 

2016 mullins hogs

  • 1. 11 Oliver C. Mullins, Schlumberger and One Zillion Collaborators Reservoir Evaluation & Reservoir Fluid Geodynamics (RFG) 1) RFG: DFA and Thermodynamics 2) Connectivity and Equilibrated Asphaltenes 3) Disequilibrium and RFG Processes 4) Tar Formation 5) GCxGC & Geochemistry OUTLINE
  • 2. Basin modeling gives fluid type, timing, volumes INTO reservoir Geologic Time Line Almost No Modeling of in-Reservoir Fluid Geodynamics No Modeling Modeling of Production in Eclipse Production Time Line Missing Component of Reservoir Understanding and Modeling Reservoir Fluid Geodynamics
  • 3. Petroleum System FILLS Reservoir Reservoir Fluid Geodynamics Redistributes Fluids & Tar Formation Simulation Produces Reservoir Reservoir Fluid Geodynamics Redistributes Fluids and Yields Tar Formation After Charge Time Line Geologic Past Present Day
  • 4. Asphaltene Nanoscience Asphaltene Thermodynamics Diffusion Fluid Mechanics Reservoir Fluid Geodynamics Requirements: Comprehensive Science DFA Data of Reservoir Reservoir Evaluation Case Studies Vertical, Lateral Fluid in Fields Reservoir Fluid Geodynamics Fault block migration, Formation overturn, Gas charge into oil, Tar mat formation, Viscosity gradients, Biodegradation & diffusion
  • 5. F = mg. Newton’s 2nd Law Peng-Robinson EoS 1976 HC Liquids Gas-Liquid Fluid- (dissolved) Solid Flory-Huggins-Zuo EoS 2010 Yen-Mullins Model 2010 Gas Cubic EoS Gas-Liquid Crude Oil Thermodynamics; Asphaltenes Now Included. No Predictions Without Asphaltenes of Heavy Oil, Tar, Viscosity… Asphaltenes: Van Der Waals EoS 1873
  • 6. First High Resolution Images of Asphaltene Molecules Agree with Yen-Mullins Model IBM Zurich IBM Zurich, Schlumberger… Published in J. Amer. Chem. Soc. Nobel Prize for STM STM Expt. AFM Expt. AFM Expt.Atoms and Bonds MO TheoryElectron Orbital
  • 8. Reservoir Fluid Geodynamics Petroleum System Context Gas Charge into Oil Diffusion GOR Gradient Different Reservoir Realizations Diffusion & Convection Fault Throw Biodegradation & Diffusion Not Equilibrated Gas Charge into Flank Heavy Oil & Tar Mat Connectivity “Gas Flood” Local GOR Increase but Connected Compartments Reservoir Baffling; Low Production Regional Viscosity Gradients Spill-Fill with Biodegradation Big Viscosity Trends Tar in Natural Fractions No Production in Flank Gas Sweep & Tar GOR Gradient, Mobile Tar Geologic Time Diffusion/Mixing Connectivity
  • 9. Equilibrated Asphaltenes (FHZ EoS)  Connected Reservoirs Proven in Production in all Fluid Types Volatile OilCondensate 9
  • 10. Heavy Oil:100 kilometer length, 60 Meter  10x Gradient. Matches FHZ with Yen-Mullins. No Adjustable Parameters Convective Currents Tar No Adjustable Parameters Asphaltene Equilibration  Reservoir Connected Proven in Production
  • 11. Tar Giant Asphaltene Gradient NOT a Maturity Gradient ! From Convective Currents of Asphaltene-Enriched Oil.
  • 12. 12 CH4 CH4 CH4 CH4 High GOR Low Asphltn Low GOR High Asphtn Diffusive Gas Front 0 1 2 3 4 5 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 020406080100 Height(meters) Cluster Gradient 0 GOR scf/bbl 2k 4k 6k 8k 4k 6k 8k 10k 12k Saturation Pressure (psi) CH4 Connected Reservoir But Not Equilibrated. Recent Gas Charge Into Oil. Diffusion  Large GOR Gradients. Asphaltene Expulsion. Convection Large Asphaltene Gradients. Gravity Current Pumps Asphaltenes to Base Diffusion Gives HUGE GOR Gradient at Top
  • 13. 3 Adjacent Fault Blocks. Same Petroleum System. 3 Entirely Different Realizations.
  • 14. Asphaltene Content in Liquid Phase • Well 1: – large disequilibrium – high Asphaltene Content • Well 2 & Well 3: – oil equilibrated – low Asphaltene Content Where did the Asphaltene go? How and Why?
  • 15. Fault Block 1. GIANT Disequilibrium in 40 Meters !!! Pleistocene condensate charge into Oil Reservoir Gas Diffusion and Asphaltene Migration Ongoing DFA Asphaltenes Depth(meters) GOC OWC
  • 16. 1) 1st Movie of Tar Mat Formation 2) Different Gradients Due to Baffling. Production Differs by 10x. Well 1. Baffled. NOT Equilibrated Low DST Production Rate Well 2. Equilibrated. High Production. Asph GOR Core Ex Equilibrated; Tiny Fluid Gradients Late Gas Charge Into Oil Reservoir Initial Gas Asphaltene 1 2 OD 120 180 GOR m3 /m3 Asphaltenes GOR TVD Not Equilibrated; Huge Gradients 0 OD Tar Tiny Asphtn FHZEoS TAR 600 %AsphGOR 200180 SLOW Diffusion FAST Diffusion
  • 17. SEM. Tar Mat. Phase Separated Asphaltene Trapped Oil
  • 18. Shale Baffle Well 3. Density Stacking / Vertical Charge Above Shale. “Tar Mat” Asphaltenes Throughout. Core %Asphaltene Tar on Shale FB/Well #3 Asphaltenes On Baffle Methane diffusionAsphaltene Diffusion (Slow) Lateral Gas Sweep H2O Vertical Gas Sweep Shale Lateral Sweep in Trap Filling Below Shale.
  • 19. FB 1. Baffled. BIG Gradients Low DST Rate FB 2. Equilibrated. Tar Mat High Production. Late Gas Charge Into Oil Resrvr SAME Initial Point Gas Asphaltene 1 2 OD Asphaltenes TVD Not Equilibrated; Huge Gradients Asph Equilibrated; Tiny Fluid Gradients 0 OD Tar Tiny Asphtn FHZEoS Core Ex TAR 600 %Asph %Aspht FB 3. Equilibrated. Tar on Shale. Aspht Coating Near Charge Point. Lateral ChargeGood SandPoor Sand, Many NF. RFG: Late Gas into Oil. 3 Very Different Realizations.
  • 20. Primary Sand Connected and Equilibrated Asphaltenes. Flank Not Equilibrated. Connected?
  • 21. Well B: Mud gas isotope: dC13 Lateral Sweep. Surge in Gas, GOR Across Field. Connected. DFA GOR surge across field Well B: DFA GOR GOR Well A Well B
  • 22. Reservoir Connected !!! New ! Not in Literature.
  • 23. 280 300 320 340 360 380 400 420 440 460 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 TVDSS m OD at ch[5] Mud filtrate No n-alkanes Many n-alkanes GC Confirms Biodegradation at/near OWC OBM contamination IMPACT OF BIODEGRADATION DFA Color. Asphaltene Content
  • 24. 270 310 350 390 430 470 0.0 0.5 1.0 1.5 2.0 TVDss, m OD & Asphaltene Alkanes Consumed at OWC FHZ w Diffusion FHZ (2nm) Diffusion Has not yet reached this high Biodegradation and Diffusion. Severe Biodegradation TRIPLED Asphaltene Content PM 06 3x Oil Volume Alkane Consumption via Biodegradation Concentrates Asphaltenes ALKANE Diffusion
  • 25. DFA Color / Asphaltene Increase is 3X from Deep to Shallow Reservoir
  • 27.
  • 28. Peters-Moldowan = 2 Resv: 1 Resv: 4 Peters-Moldowan = 4 Minimal Water Washing Moderate Water Washing Peters-Moldowan = 6 (25-Norhopanes appeared) Extensive Water Washing Resv: 6 Naphthalene Naphthalene Naphthalene C2-Naphthalene C2-Naphthalene C2-Naphthalene C4-Naphthalene C4-Naphthalene C4-Naphthalene
  • 29. 3X Increase in Asphaltenes: • PM 2 6 • Water Washing (Assisted by Biodegradation) • Some Maturity Variation Asphaltenes
  • 30. Early Oil Tar Stuck in Charge Plane Makes No Sense (to me). 60oC 1st Cold, Solid Bitumen Exits NanoDarcy! (Sink in Water?) Then Heats Up ! Reservoir (say 100oC) Greatly Decreasing Viscosity Hot Roofing Tar Drilling Hazard Tar.
  • 31. Then the Hot Tar Gets Stuck in the Grand Canyon (or giant fault). Can’t Get Out !! (or JUST maybe there is another explanation) Reservoir Fluid Geodynamics can provide the answer.
  • 32. Conclusions Reservoir Fluid Geodynamics (RFG): Redistribution of Fluids, Tar After Charge. A New Way to Evaluate Reservoirs RFG Enabled by Asphaltene Thermodynamics, DFA & Case Studies Equilibrated Asphaltenes  Reservoir Connectivity. Disequilibrium  Geodynamic Processes. Charging, Baffling, Diffusion, Convection, Phase change /Tar etc. Chemical Composition; GCxGC with Geochemistry Compare with Thermodynamics. Drilling Hazard Tar Needs a New Look. Universal DFA Workflows to Address Most Reservoir Concerns.
  • 33. Petroleum System FILLS Reservoir Present Day 0 Ma After Charge 3 Ma After Charge: Asphaltenes Equilibrated ~12 Ma After Charge: Biomarkers Equilibrate Asphaltenes Equilibrate FASTER than Biomarkers Due to Charge Sequence. Same as Tornado…? Diffusion More Diffusion Reservoir Charge Liquids Liquids Liquids TVDSS TVDSS TVDSS Gas Gas Gas Geologic Past
  • 34. Density Stacking of Crude Oils. First Heavy Oils, Then Light Oils.
  • 35. No Tat Mat. Core Extracts Merely Contain Oil. Fault Block 1. Giant Disequilibrium in 40 Meters!!. Late Gas Charge Into Oil Reserv oir Initial Gas Asphaltene Current Asphaltene in Oil Asphaltene in Core Extracts
  • 36. Gas Charge into Oil Gas Charge into Oil Reservoir & Reservoir Fluid Geodynamics Diffusion Convection Heavy Oil /Tar Flank Charge & Seal Failure Tar Occlusion in Natural Fractures DS Report Independent Low Production Drilling Hazard OTC Paper Different Production Concerns: Connectivity, PI, Tar Mat, Viscosity…
  • 37. DFA Color / Asphaltenes r g/cc GORPressure Not Equilibrated Poor Production Equilibrated Good Production Connectivity, Baffling, Compartments; DFA Gradients and Production
  • 38. Connectivity. Low GOR Black Oil. Tahiti Field 38 Pressure: Two Stacked Sands Chevron Uplift Causes Faulting
  • 39. DW 0 2 3 x4 x6 x7 TVD Feet 103 DFA Color  %Asphtn In Each Main Sand: Equilibrated Asphaltenes: CONNECTED. Proven Correct in Production.         kT hgV ODhOD r exp)0()( OilColumn Dia ~ 2nm 1 FHZ EoS