SlideShare ist ein Scribd-Unternehmen logo
1 von 57
Bureau of Economic Geology Centennial Lecture Program DEEP-WATER HYDRATES: ENERGY POTENTIAL AND TECHNICAL CHALLENGES Dr. Bob A. Hardage
[object Object],[object Object],[object Object],[object Object],Bureau of Economic Geology
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Full-Time Research Mission
Bureau Facilities in Austin, Texas
What is hydrate?
Definitions Clathratus :  Latin word meaning “enclosed by bars.” Clathrate:  Any compound formed by the inclusion of one kind of molecule within cavities in the crystal lattice of another kind of molecule. (No chemical bonds constrain the trapped molecule.) Hydrate:  A subgroup of clathrates involving gas molecules trapped inside structured water molecules.
Clathrate Hydrate of Natural Gases Structure I
The Energy Potential
Size Comparisons One “very fine” mineral grain One unit volume of hydrate Diameter ~ 60ÎŒm Diameter ~ 6nm 10 12  unit volumes required to fill the grain QAd6959F
Size Comparison of Hydrate Unit Volume and Typical Pores QAd6609 Micrograph courtesy Robert G. Loucks, BEG 0.1 mm Structure I Unit Volume Frio Sandstone (   = 30%) Pore diameter ~6x10 -5 m ~10 13  unit volumes of hydrate in one pore space 3x10 -9 m
Hydrates as an Energy Source QAd6959 Energy density of LNG Energy density of hydrate = 0.42
Exposed Structure II Gas Hydrate Block GC 185 QAd5851
Deep-Water Oil Seeps and Hydrate Gulf of Mexico QAd5901
The Carrot Dangled by the Government
Energy Policy Act of 2005
Technical Challenge: How do you find deep-water hydrate?
Characteristics of Deep-Water Hydrate Systems Deep water Hydrate stability zone Free-gas zone Gas/water contact BSR (Bottom-simulating reflector) Sea floor Bright reflectivity Expulsion crater QAd6937D
BSR Event: Gulf of Mexico, Line A 1.5 2.0 Time (s) QAd5890(a)
BSR Event: Gulf of Mexico, Line A QAd5890 1.5 2.0 Time (s)
Characteristics of Deep-Water Hydrate Systems Deep water Hydrate stability zone Free-gas zone Gas/water contact BSR (Bottom-simulating reflector) Sea floor Bright reflectivity Expulsion crater QAd6937D
Study Site 2: Genesis Field Area Block GC 205 QAd6510
Technical Challenge: How do you evaluate the resource?
The Expensive Option: Drill a well.
Hydrate Log Data: Blake Ridge (ODP 995) QAd5173 G R ( A P I ) 3 0 8 0 1 . 1 0 . 7 1 . 6 1 . 9 1 . 5 1 . 9 B u l k - d e n s i t y V e l o c i t y R e s i s t i v i t y g / c m 3 k m / s e c o h m - m Hydrate ~0.2  -m 400 600 500 300 200 Depth below seafloor (m) Paull and others (1996)
A More Attractive Option: Develop a remote, large-area evaluation technology (seismic imaging?).
VSP AND DEEP-WATER OBC/OBS DATA ACQUISITION: SIMILAR ELEVATION DIFFERENCES BETWEEN SOURCES AND RECEIVERS QAd4647 VSP OBC/OBS Vibrator Well Air gun Deep water Similar geometry Seafloor Sea level Multicomponent sensor Multicomponent sensor Source station Source station
4-C OBC COMMON-RECEIVER GATHER, CDP 13949, LINE 549, BLOCK 204 (50-m SHOT SPACING) QAd4171
COMMON-RECEIVER GATHERS IN REDUCED-TIME FORMAT WITH SPHERICAL DIVERGENCE CORRECTION QAd4172
BASIC RESPONSES OF OBC SENSORS QAd4170
SEPARATING DOWNGOING AND UPGOING WAVEFIELDS QAd4175
Hydrophone/15 (P) Vertical geophone (Z) 2.0 1.5 1.0 0.5 -2000 0 2000 Time (s) Time (s) 2.0 1.5 1.0 0.5 -2000 0 2000 Source offset (m) Source offset (m) QAd4612x GAS HYDRATE OBC VSP EXAMPLE 1
Down wave Up wave 2.0 1.5 1.0 0.5 -2000 0 2000 Time (s) Time (s) 2.0 1.5 1.0 0.5 -2000 0 2000 Source offset (m) Source offset (m) SEPARATION OF DOWN AND UP WAVEFIELDS: COMMON-RECEIVER GATHER, WATER DEPTH = 871 M SEPARATION OF DOWN AND UP WAVEFIELDS: COMMON-RECEIVER GATHER, WATER DEPTH = 871 M P + Z / cos(  ) P - Z / cos(  ) QAd4613x
Seafloor 0.5 0.3 0.1 0 -2000 0 Time (s) Source offset (m) 0.4 0.2 2000 P-P REFLECTIVITY: SEAFLOOR DATUM (1) Reflectivity (f) = Up wave (f) Down wave (f) + (2) Damping + (3) Inverse Fourier transform + (4) Time derivative QAd4614x
HORIZON-ORIENTED STATIC CORRECTIONS: IDEAL FOR ANGLE-DEPENDENT REFLECTIVITY AND VELOCITY ANALYSIS Pre-NMO 3.5 2.5 1.0 0 -2000 0 2000 Time below seafloor (s) Source offset (m) 0.5 1.5 2.0 3.0 d dt (PP) Static corrected -2000 0 2000 Source offset (m) 0.24 0.20 0.16 0.08 Time below seafloor (s) 0.12 QAd4620x Target event
COMPARISON OF DYNAMIC CORRECTIONS AND HORIZON- ORIENTED STATIC CORRECTIONS, WATER DEPTH = 871 M QAd4619x Static corrections Dynamic corrections 0.24 0.20 0.16 0.08 -2000 0 2000 Time below seafloor (s) -2000 0 2000 Source offset (m) Source offset (m) 0.12 0.24 0.20 0.16 0.08 Time below seafloor (s) 0.12
NMO-CORRECTED COMMON-RECEIVER GATHER WITH DEPTH-POINT-OFFSET OVERLAY, WATER DEPTH 871 M QAd4618x 0.35 0.25 0.15 0.10 -2000 0 Time below seafloor (s) 0.30 0.20 2000 1000 -1000 0.05 0 Source offset (m) Depth point offset 10 m 85 m 160 m
CONSTRUCTING P-P IMAGE WITH VSP MINI-IMAGES
BASIC RESPONSES OF OBC SENSORS QAd4170
ISOLATING THE P-SV MODE HL = Hemipelagic layer QAd4177
QAd4179 Before After EMPHASIZING P-SV EVENTS, LINE 549, BLOCK GC204
QAd4181 ESTIMATION OF P-SV REFLECTIVITY
QAd4771 PS DATA,  DYNAMIC TIME CORRECTIONS
CONSTRUCTING P-SV IMAGE WITH VSP MINI-IMAGES QAd5877
Comparison of PP Images QAd4760 R e c e i v e r n u m b e r 5 0 1 0 0 1 5 0 P P i m a g e ( 5 - m s p a c i n g ) 3 5 0 0 5 0 1 0 0 1 5 0 2 0 0 2 5 0 3 0 0 R e c e i v e r n u m b e r 5 0 1 0 0 1 5 0 P r o d u c t i o n P P ( 1 2 . 5 - m C D P ) 3 5 0 0 5 0 1 0 0 1 5 0 2 0 0 2 5 0 3 0 0 S e a f l o o r E x p u l s i o n c h i m n e y E x p u l s i o n c h i m n e y 4 k m 4 k m Reduced time (ms) PP time (ms)
Chirp Sonar Data, Line 549 Time (ms) QAd4234(a)
Comparison of P-SV Image with AUV P-P Image QAd4767 PS time (ms) Vp/Vs = 34 PP time  (ms) R e c e i v e r n u m b e r C h i r p - s o n a r ( 2 5 - m s p a c i n g ) 0 5 1 0 R e c e i v e r n u m b e r N e w P S p r o c e s s i n g 3 5 0 0 5 0 1 0 0 1 5 0 2 0 0 2 5 0 3 0 0 4 0 0 4 5 0 2 0 2 5 2 0 1 0 0 1 6 0 4 0 6 0 8 0 1 2 0 1 4 0 2 0 1 0 0 1 6 0 4 0 6 0 8 0 1 2 0 1 4 0 1 5 V p / V s - 5 0 - 5 0 5 8 S e a f l o o r 3 4 2 7 U n c o n f o r m i t y R 0 1 4 4 k m 4 k m s u r f a c e
Hydrate Log Data: Blake Ridge (ODP 995) QAd5173 G R ( A P I ) 3 0 8 0 1 . 1 0 . 7 1 . 6 1 . 9 1 . 5 1 . 9 B u l k - d e n s i t y V e l o c i t y R e s i s t i v i t y g / c m 3 k m / s e c o h m - m Hydrate ~0.2  -m 400 600 500 300 200 Depth below seafloor (m) Paull and others (1996)
ACCURACY OF INTERVAL VP (< 1%?)
Technical Challenge: You have to know the morphology if velocity is used to estimate hydrate concentration
Hydrate/Sediment  Grain-to-Grain Morphology Models Model C: Layered, Solid Phase Model D: Layered, Disseminated Phase Model A: Disseminated, Load-bearing Model B: Disseminated, Non-Load-Bearing Sediment Hydrate QAd4571
Model-Based Vp, Host Sediment = Sand, Porosity = 0.37 0 0.1 0.2 0.3 0.4 1500 2000 2500 3000 3500 4000 Vp [m/s] Model C: Layered, Solid Phase 0 0.1 0.2 0.3 0.4 1500 2000 2500 3000 3500 4000 Vp [m/s] C gh  = volume fraction of gas hydrate Model D: Layered, Disseminated Phase 0 0.1 0.2 0.3 0.4 1500 2000 2500 3000 3500 4000 Vp [m/s] Model A: Disseminated, Load-bearing 0 0.1 0.2 0.3 0.4 1500 2000 2500 3000 3500 4000 Vp [m/s] Model B: Disseminated, Non-Load-Bearing Fast Slow Fast Slow c gh c gh QAd4572
Hydrate Cores: Offshore Korea QAd6545
The Biggest Technical Challenge: How do you produce the hydrate?
Stability Domains: Hydrate, Ice, Methane Depth (m) Pressure (atm) QAd4240 Modified from Kvenvolden (1998)
So, how do we summarize the technical challenges?
“ Reports that say that something hasn’t happened are always interesting to me, because as we know, there are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there are things we know we don’t know. But there are also unknown unknowns —   the ones we don’t know we don’t know.” Donald Rumsfeld Department of Defense News Briefing February 12, 2002
ACKNOWLEDGEMENT ●  U.S. Department of Energy Contract DE-FC26-05NT42667 ●  Minerals Management Service Contract 1435-01-05-CT-39388 Hydrate research funded by:

Weitere Àhnliche Inhalte

Was ist angesagt?

Apec workshop 2 presentation 13 r wright apec-gccsi engineering disclipines...
Apec workshop 2 presentation 13  r wright apec-gccsi  engineering disclipines...Apec workshop 2 presentation 13  r wright apec-gccsi  engineering disclipines...
Apec workshop 2 presentation 13 r wright apec-gccsi engineering disclipines...
Global CCS Institute
 
Extra_Li_XF_2011_IGARSS_OilSpill.pptx
Extra_Li_XF_2011_IGARSS_OilSpill.pptxExtra_Li_XF_2011_IGARSS_OilSpill.pptx
Extra_Li_XF_2011_IGARSS_OilSpill.pptx
grssieee
 
20160505 - CPFD modeling and experimental validation of gas–solid flow in ado...
20160505 - CPFD modeling and experimental validation of gas–solid flow in ado...20160505 - CPFD modeling and experimental validation of gas–solid flow in ado...
20160505 - CPFD modeling and experimental validation of gas–solid flow in ado...
Angel Lanza
 
Coarse CFD-DEM simulation of Rare Earth Element leaching reactor, FCC re-gen...
Coarse CFD-DEM simulation of Rare Earth Element leaching reactor,  FCC re-gen...Coarse CFD-DEM simulation of Rare Earth Element leaching reactor,  FCC re-gen...
Coarse CFD-DEM simulation of Rare Earth Element leaching reactor, FCC re-gen...
Liqiang Lu
 
Use of RSS and NMR for exploration in oil and gas industry but also for refur...
Use of RSS and NMR for exploration in oil and gas industry but also for refur...Use of RSS and NMR for exploration in oil and gas industry but also for refur...
Use of RSS and NMR for exploration in oil and gas industry but also for refur...
Fands-llc
 
igarss11swot-vadon-callahan-psc-s3.110725.pptx
igarss11swot-vadon-callahan-psc-s3.110725.pptxigarss11swot-vadon-callahan-psc-s3.110725.pptx
igarss11swot-vadon-callahan-psc-s3.110725.pptx
grssieee
 
AIAA-2011-IH108chart-Lau
AIAA-2011-IH108chart-LauAIAA-2011-IH108chart-Lau
AIAA-2011-IH108chart-Lau
Kei Yun lau
 

Was ist angesagt? (20)

Calculating the air-sea flux of any trace gas: transfer velocity, chemical e...
Calculating the air-sea flux of any trace gas:  transfer velocity, chemical e...Calculating the air-sea flux of any trace gas:  transfer velocity, chemical e...
Calculating the air-sea flux of any trace gas: transfer velocity, chemical e...
 
Apec workshop 2 presentation 13 r wright apec-gccsi engineering disclipines...
Apec workshop 2 presentation 13  r wright apec-gccsi  engineering disclipines...Apec workshop 2 presentation 13  r wright apec-gccsi  engineering disclipines...
Apec workshop 2 presentation 13 r wright apec-gccsi engineering disclipines...
 
M.S. Thesis Defense
M.S. Thesis DefenseM.S. Thesis Defense
M.S. Thesis Defense
 
Assessing GHG exchange at landscape scale
Assessing GHG exchange at landscape scaleAssessing GHG exchange at landscape scale
Assessing GHG exchange at landscape scale
 
Extra_Li_XF_2011_IGARSS_OilSpill.pptx
Extra_Li_XF_2011_IGARSS_OilSpill.pptxExtra_Li_XF_2011_IGARSS_OilSpill.pptx
Extra_Li_XF_2011_IGARSS_OilSpill.pptx
 
Batenburg agu 2012_11_26
Batenburg agu 2012_11_26Batenburg agu 2012_11_26
Batenburg agu 2012_11_26
 
Lobanov - Nb-sputtered 150 MHz Quarter-wave Resonators for ANU Linac Upgrade
Lobanov - Nb-sputtered 150 MHz Quarter-wave Resonators for ANU Linac UpgradeLobanov - Nb-sputtered 150 MHz Quarter-wave Resonators for ANU Linac Upgrade
Lobanov - Nb-sputtered 150 MHz Quarter-wave Resonators for ANU Linac Upgrade
 
20160505 - CPFD modeling and experimental validation of gas–solid flow in ado...
20160505 - CPFD modeling and experimental validation of gas–solid flow in ado...20160505 - CPFD modeling and experimental validation of gas–solid flow in ado...
20160505 - CPFD modeling and experimental validation of gas–solid flow in ado...
 
Coarse CFD-DEM simulation of Rare Earth Element leaching reactor, FCC re-gen...
Coarse CFD-DEM simulation of Rare Earth Element leaching reactor,  FCC re-gen...Coarse CFD-DEM simulation of Rare Earth Element leaching reactor,  FCC re-gen...
Coarse CFD-DEM simulation of Rare Earth Element leaching reactor, FCC re-gen...
 
Use of RSS and NMR for exploration in oil and gas industry but also for refur...
Use of RSS and NMR for exploration in oil and gas industry but also for refur...Use of RSS and NMR for exploration in oil and gas industry but also for refur...
Use of RSS and NMR for exploration in oil and gas industry but also for refur...
 
igarss11swot-vadon-callahan-psc-s3.110725.pptx
igarss11swot-vadon-callahan-psc-s3.110725.pptxigarss11swot-vadon-callahan-psc-s3.110725.pptx
igarss11swot-vadon-callahan-psc-s3.110725.pptx
 
Monitoring measuring and verification, Gonzalo Zambrano, University of Alberta
Monitoring measuring and verification, Gonzalo Zambrano, University of AlbertaMonitoring measuring and verification, Gonzalo Zambrano, University of Alberta
Monitoring measuring and verification, Gonzalo Zambrano, University of Alberta
 
Applying Unstructured Grid Model for Tides in the Belgian Continental Shelf
Applying Unstructured Grid Model for Tides in the Belgian Continental Shelf Applying Unstructured Grid Model for Tides in the Belgian Continental Shelf
Applying Unstructured Grid Model for Tides in the Belgian Continental Shelf
 
CAMS General Assembly Chabrillat
CAMS  General Assembly ChabrillatCAMS  General Assembly Chabrillat
CAMS General Assembly Chabrillat
 
Seismic Data Processing, Ahmed Osama
Seismic Data Processing, Ahmed OsamaSeismic Data Processing, Ahmed Osama
Seismic Data Processing, Ahmed Osama
 
AIAA-2011-IH108chart-Lau
AIAA-2011-IH108chart-LauAIAA-2011-IH108chart-Lau
AIAA-2011-IH108chart-Lau
 
Seismic data processing
Seismic data processingSeismic data processing
Seismic data processing
 
Nanomaterials for Drug Delivery
Nanomaterials for Drug DeliveryNanomaterials for Drug Delivery
Nanomaterials for Drug Delivery
 
Ferguson glosolan spectrometry
Ferguson glosolan  spectrometryFerguson glosolan  spectrometry
Ferguson glosolan spectrometry
 
Knowledge Management: Estimate Oil API Using logs before Testing or Sampling
Knowledge Management: Estimate Oil API Using logs before Testing or SamplingKnowledge Management: Estimate Oil API Using logs before Testing or Sampling
Knowledge Management: Estimate Oil API Using logs before Testing or Sampling
 

Ähnlich wie Centennial Talk Hydrates

Analytical modelling of groundwater wells and well systems: how to get it r...
Analytical modelling of  groundwater wells and well systems:  how to get it r...Analytical modelling of  groundwater wells and well systems:  how to get it r...
Analytical modelling of groundwater wells and well systems: how to get it r...
Anton Nikulenkov
 
McGill Ozone Contactor Design Project
McGill Ozone Contactor Design ProjectMcGill Ozone Contactor Design Project
McGill Ozone Contactor Design Project
Nicholas Mead-Fox
 
Csp seismic data processing method for fracture oil and gas reservoir prospec...
Csp seismic data processing method for fracture oil and gas reservoir prospec...Csp seismic data processing method for fracture oil and gas reservoir prospec...
Csp seismic data processing method for fracture oil and gas reservoir prospec...
wsspsoft
 
Research Project Presentation_Michael Li
Research Project Presentation_Michael LiResearch Project Presentation_Michael Li
Research Project Presentation_Michael Li
Michael Li
 
Thesis Powerpoint
Thesis PowerpointThesis Powerpoint
Thesis Powerpoint
neha47
 
How to Leverage Artificial Intelligence to Accelerate Data Collection and Ana...
How to Leverage Artificial Intelligence to Accelerate Data Collection and Ana...How to Leverage Artificial Intelligence to Accelerate Data Collection and Ana...
How to Leverage Artificial Intelligence to Accelerate Data Collection and Ana...
aimsnist
 
SARNATH-PROFILE-CAE
SARNATH-PROFILE-CAESARNATH-PROFILE-CAE
SARNATH-PROFILE-CAE
Sarnath R
 

Ähnlich wie Centennial Talk Hydrates (20)

Construction and calibration of a fractured tight reservoir model
Construction and calibration of a fractured tight reservoir modelConstruction and calibration of a fractured tight reservoir model
Construction and calibration of a fractured tight reservoir model
 
radial flow pumping test
radial flow pumping testradial flow pumping test
radial flow pumping test
 
Analytical modelling of groundwater wells and well systems: how to get it r...
Analytical modelling of  groundwater wells and well systems:  how to get it r...Analytical modelling of  groundwater wells and well systems:  how to get it r...
Analytical modelling of groundwater wells and well systems: how to get it r...
 
The Remarkable Benefits and Grave Dangers of using Artificial Intelligence in...
The Remarkable Benefits and Grave Dangers of using Artificial Intelligence in...The Remarkable Benefits and Grave Dangers of using Artificial Intelligence in...
The Remarkable Benefits and Grave Dangers of using Artificial Intelligence in...
 
McGill Ozone Contactor Design Project
McGill Ozone Contactor Design ProjectMcGill Ozone Contactor Design Project
McGill Ozone Contactor Design Project
 
Pump out tests in alluvial sands – a case study
Pump out tests in alluvial sands – a case studyPump out tests in alluvial sands – a case study
Pump out tests in alluvial sands – a case study
 
AICHE 15 VORTEX + MASS TRANSFER
AICHE 15   VORTEX + MASS TRANSFERAICHE 15   VORTEX + MASS TRANSFER
AICHE 15 VORTEX + MASS TRANSFER
 
Csp seismic data processing method for fracture oil and gas reservoir prospec...
Csp seismic data processing method for fracture oil and gas reservoir prospec...Csp seismic data processing method for fracture oil and gas reservoir prospec...
Csp seismic data processing method for fracture oil and gas reservoir prospec...
 
Kelompok 1 eds.pptx
Kelompok 1 eds.pptxKelompok 1 eds.pptx
Kelompok 1 eds.pptx
 
Long term safety of geological co2 storage: lessons from Bravo Dome Natural C...
Long term safety of geological co2 storage: lessons from Bravo Dome Natural C...Long term safety of geological co2 storage: lessons from Bravo Dome Natural C...
Long term safety of geological co2 storage: lessons from Bravo Dome Natural C...
 
Modeling CO2 injection into saline aquifers, Gonzalo Zambrano, University of ...
Modeling CO2 injection into saline aquifers, Gonzalo Zambrano, University of ...Modeling CO2 injection into saline aquifers, Gonzalo Zambrano, University of ...
Modeling CO2 injection into saline aquifers, Gonzalo Zambrano, University of ...
 
Hydraulic jump location control
Hydraulic jump location control Hydraulic jump location control
Hydraulic jump location control
 
Research Project Presentation_Michael Li
Research Project Presentation_Michael LiResearch Project Presentation_Michael Li
Research Project Presentation_Michael Li
 
Thesis Powerpoint
Thesis PowerpointThesis Powerpoint
Thesis Powerpoint
 
How to Leverage Artificial Intelligence to Accelerate Data Collection and Ana...
How to Leverage Artificial Intelligence to Accelerate Data Collection and Ana...How to Leverage Artificial Intelligence to Accelerate Data Collection and Ana...
How to Leverage Artificial Intelligence to Accelerate Data Collection and Ana...
 
ChemFET fabrication, device physics and sensing mechanism
ChemFET fabrication, device physics and sensing mechanismChemFET fabrication, device physics and sensing mechanism
ChemFET fabrication, device physics and sensing mechanism
 
Characterization and evaluation of riparian buffers on sediment load
Characterization and evaluation of riparian buffers on sediment loadCharacterization and evaluation of riparian buffers on sediment load
Characterization and evaluation of riparian buffers on sediment load
 
SARNATH-PROFILE-CAE
SARNATH-PROFILE-CAESARNATH-PROFILE-CAE
SARNATH-PROFILE-CAE
 
An Accelerated Weathering of Limestone Reactor - Phil Renforth at the Alterna...
An Accelerated Weathering of Limestone Reactor - Phil Renforth at the Alterna...An Accelerated Weathering of Limestone Reactor - Phil Renforth at the Alterna...
An Accelerated Weathering of Limestone Reactor - Phil Renforth at the Alterna...
 
PetroTeach Free Webinar by Dr. Andrew Ross on Seismic Reservoir Characterization
PetroTeach Free Webinar by Dr. Andrew Ross on Seismic Reservoir CharacterizationPetroTeach Free Webinar by Dr. Andrew Ross on Seismic Reservoir Characterization
PetroTeach Free Webinar by Dr. Andrew Ross on Seismic Reservoir Characterization
 

KĂŒrzlich hochgeladen

IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
vu2urc
 

KĂŒrzlich hochgeladen (20)

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 

Centennial Talk Hydrates

  • 1. Bureau of Economic Geology Centennial Lecture Program DEEP-WATER HYDRATES: ENERGY POTENTIAL AND TECHNICAL CHALLENGES Dr. Bob A. Hardage
  • 2.
  • 3.
  • 4. Bureau Facilities in Austin, Texas
  • 6. Definitions Clathratus : Latin word meaning “enclosed by bars.” Clathrate: Any compound formed by the inclusion of one kind of molecule within cavities in the crystal lattice of another kind of molecule. (No chemical bonds constrain the trapped molecule.) Hydrate: A subgroup of clathrates involving gas molecules trapped inside structured water molecules.
  • 7. Clathrate Hydrate of Natural Gases Structure I
  • 9. Size Comparisons One “very fine” mineral grain One unit volume of hydrate Diameter ~ 60ÎŒm Diameter ~ 6nm 10 12 unit volumes required to fill the grain QAd6959F
  • 10. Size Comparison of Hydrate Unit Volume and Typical Pores QAd6609 Micrograph courtesy Robert G. Loucks, BEG 0.1 mm Structure I Unit Volume Frio Sandstone (  = 30%) Pore diameter ~6x10 -5 m ~10 13 unit volumes of hydrate in one pore space 3x10 -9 m
  • 11. Hydrates as an Energy Source QAd6959 Energy density of LNG Energy density of hydrate = 0.42
  • 12. Exposed Structure II Gas Hydrate Block GC 185 QAd5851
  • 13. Deep-Water Oil Seeps and Hydrate Gulf of Mexico QAd5901
  • 14. The Carrot Dangled by the Government
  • 15. Energy Policy Act of 2005
  • 16. Technical Challenge: How do you find deep-water hydrate?
  • 17. Characteristics of Deep-Water Hydrate Systems Deep water Hydrate stability zone Free-gas zone Gas/water contact BSR (Bottom-simulating reflector) Sea floor Bright reflectivity Expulsion crater QAd6937D
  • 18. BSR Event: Gulf of Mexico, Line A 1.5 2.0 Time (s) QAd5890(a)
  • 19. BSR Event: Gulf of Mexico, Line A QAd5890 1.5 2.0 Time (s)
  • 20. Characteristics of Deep-Water Hydrate Systems Deep water Hydrate stability zone Free-gas zone Gas/water contact BSR (Bottom-simulating reflector) Sea floor Bright reflectivity Expulsion crater QAd6937D
  • 21. Study Site 2: Genesis Field Area Block GC 205 QAd6510
  • 22. Technical Challenge: How do you evaluate the resource?
  • 23. The Expensive Option: Drill a well.
  • 24. Hydrate Log Data: Blake Ridge (ODP 995) QAd5173 G R ( A P I ) 3 0 8 0 1 . 1 0 . 7 1 . 6 1 . 9 1 . 5 1 . 9 B u l k - d e n s i t y V e l o c i t y R e s i s t i v i t y g / c m 3 k m / s e c o h m - m Hydrate ~0.2  -m 400 600 500 300 200 Depth below seafloor (m) Paull and others (1996)
  • 25. A More Attractive Option: Develop a remote, large-area evaluation technology (seismic imaging?).
  • 26. VSP AND DEEP-WATER OBC/OBS DATA ACQUISITION: SIMILAR ELEVATION DIFFERENCES BETWEEN SOURCES AND RECEIVERS QAd4647 VSP OBC/OBS Vibrator Well Air gun Deep water Similar geometry Seafloor Sea level Multicomponent sensor Multicomponent sensor Source station Source station
  • 27. 4-C OBC COMMON-RECEIVER GATHER, CDP 13949, LINE 549, BLOCK 204 (50-m SHOT SPACING) QAd4171
  • 28. COMMON-RECEIVER GATHERS IN REDUCED-TIME FORMAT WITH SPHERICAL DIVERGENCE CORRECTION QAd4172
  • 29. BASIC RESPONSES OF OBC SENSORS QAd4170
  • 30. SEPARATING DOWNGOING AND UPGOING WAVEFIELDS QAd4175
  • 31. Hydrophone/15 (P) Vertical geophone (Z) 2.0 1.5 1.0 0.5 -2000 0 2000 Time (s) Time (s) 2.0 1.5 1.0 0.5 -2000 0 2000 Source offset (m) Source offset (m) QAd4612x GAS HYDRATE OBC VSP EXAMPLE 1
  • 32. Down wave Up wave 2.0 1.5 1.0 0.5 -2000 0 2000 Time (s) Time (s) 2.0 1.5 1.0 0.5 -2000 0 2000 Source offset (m) Source offset (m) SEPARATION OF DOWN AND UP WAVEFIELDS: COMMON-RECEIVER GATHER, WATER DEPTH = 871 M SEPARATION OF DOWN AND UP WAVEFIELDS: COMMON-RECEIVER GATHER, WATER DEPTH = 871 M P + Z / cos(  ) P - Z / cos(  ) QAd4613x
  • 33. Seafloor 0.5 0.3 0.1 0 -2000 0 Time (s) Source offset (m) 0.4 0.2 2000 P-P REFLECTIVITY: SEAFLOOR DATUM (1) Reflectivity (f) = Up wave (f) Down wave (f) + (2) Damping + (3) Inverse Fourier transform + (4) Time derivative QAd4614x
  • 34. HORIZON-ORIENTED STATIC CORRECTIONS: IDEAL FOR ANGLE-DEPENDENT REFLECTIVITY AND VELOCITY ANALYSIS Pre-NMO 3.5 2.5 1.0 0 -2000 0 2000 Time below seafloor (s) Source offset (m) 0.5 1.5 2.0 3.0 d dt (PP) Static corrected -2000 0 2000 Source offset (m) 0.24 0.20 0.16 0.08 Time below seafloor (s) 0.12 QAd4620x Target event
  • 35. COMPARISON OF DYNAMIC CORRECTIONS AND HORIZON- ORIENTED STATIC CORRECTIONS, WATER DEPTH = 871 M QAd4619x Static corrections Dynamic corrections 0.24 0.20 0.16 0.08 -2000 0 2000 Time below seafloor (s) -2000 0 2000 Source offset (m) Source offset (m) 0.12 0.24 0.20 0.16 0.08 Time below seafloor (s) 0.12
  • 36. NMO-CORRECTED COMMON-RECEIVER GATHER WITH DEPTH-POINT-OFFSET OVERLAY, WATER DEPTH 871 M QAd4618x 0.35 0.25 0.15 0.10 -2000 0 Time below seafloor (s) 0.30 0.20 2000 1000 -1000 0.05 0 Source offset (m) Depth point offset 10 m 85 m 160 m
  • 37. CONSTRUCTING P-P IMAGE WITH VSP MINI-IMAGES
  • 38. BASIC RESPONSES OF OBC SENSORS QAd4170
  • 39. ISOLATING THE P-SV MODE HL = Hemipelagic layer QAd4177
  • 40. QAd4179 Before After EMPHASIZING P-SV EVENTS, LINE 549, BLOCK GC204
  • 41. QAd4181 ESTIMATION OF P-SV REFLECTIVITY
  • 42. QAd4771 PS DATA, DYNAMIC TIME CORRECTIONS
  • 43. CONSTRUCTING P-SV IMAGE WITH VSP MINI-IMAGES QAd5877
  • 44. Comparison of PP Images QAd4760 R e c e i v e r n u m b e r 5 0 1 0 0 1 5 0 P P i m a g e ( 5 - m s p a c i n g ) 3 5 0 0 5 0 1 0 0 1 5 0 2 0 0 2 5 0 3 0 0 R e c e i v e r n u m b e r 5 0 1 0 0 1 5 0 P r o d u c t i o n P P ( 1 2 . 5 - m C D P ) 3 5 0 0 5 0 1 0 0 1 5 0 2 0 0 2 5 0 3 0 0 S e a f l o o r E x p u l s i o n c h i m n e y E x p u l s i o n c h i m n e y 4 k m 4 k m Reduced time (ms) PP time (ms)
  • 45. Chirp Sonar Data, Line 549 Time (ms) QAd4234(a)
  • 46. Comparison of P-SV Image with AUV P-P Image QAd4767 PS time (ms) Vp/Vs = 34 PP time (ms) R e c e i v e r n u m b e r C h i r p - s o n a r ( 2 5 - m s p a c i n g ) 0 5 1 0 R e c e i v e r n u m b e r N e w P S p r o c e s s i n g 3 5 0 0 5 0 1 0 0 1 5 0 2 0 0 2 5 0 3 0 0 4 0 0 4 5 0 2 0 2 5 2 0 1 0 0 1 6 0 4 0 6 0 8 0 1 2 0 1 4 0 2 0 1 0 0 1 6 0 4 0 6 0 8 0 1 2 0 1 4 0 1 5 V p / V s - 5 0 - 5 0 5 8 S e a f l o o r 3 4 2 7 U n c o n f o r m i t y R 0 1 4 4 k m 4 k m s u r f a c e
  • 47. Hydrate Log Data: Blake Ridge (ODP 995) QAd5173 G R ( A P I ) 3 0 8 0 1 . 1 0 . 7 1 . 6 1 . 9 1 . 5 1 . 9 B u l k - d e n s i t y V e l o c i t y R e s i s t i v i t y g / c m 3 k m / s e c o h m - m Hydrate ~0.2  -m 400 600 500 300 200 Depth below seafloor (m) Paull and others (1996)
  • 48. ACCURACY OF INTERVAL VP (< 1%?)
  • 49. Technical Challenge: You have to know the morphology if velocity is used to estimate hydrate concentration
  • 50. Hydrate/Sediment Grain-to-Grain Morphology Models Model C: Layered, Solid Phase Model D: Layered, Disseminated Phase Model A: Disseminated, Load-bearing Model B: Disseminated, Non-Load-Bearing Sediment Hydrate QAd4571
  • 51. Model-Based Vp, Host Sediment = Sand, Porosity = 0.37 0 0.1 0.2 0.3 0.4 1500 2000 2500 3000 3500 4000 Vp [m/s] Model C: Layered, Solid Phase 0 0.1 0.2 0.3 0.4 1500 2000 2500 3000 3500 4000 Vp [m/s] C gh = volume fraction of gas hydrate Model D: Layered, Disseminated Phase 0 0.1 0.2 0.3 0.4 1500 2000 2500 3000 3500 4000 Vp [m/s] Model A: Disseminated, Load-bearing 0 0.1 0.2 0.3 0.4 1500 2000 2500 3000 3500 4000 Vp [m/s] Model B: Disseminated, Non-Load-Bearing Fast Slow Fast Slow c gh c gh QAd4572
  • 52. Hydrate Cores: Offshore Korea QAd6545
  • 53. The Biggest Technical Challenge: How do you produce the hydrate?
  • 54. Stability Domains: Hydrate, Ice, Methane Depth (m) Pressure (atm) QAd4240 Modified from Kvenvolden (1998)
  • 55. So, how do we summarize the technical challenges?
  • 56. “ Reports that say that something hasn’t happened are always interesting to me, because as we know, there are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there are things we know we don’t know. But there are also unknown unknowns — the ones we don’t know we don’t know.” Donald Rumsfeld Department of Defense News Briefing February 12, 2002
  • 57. ACKNOWLEDGEMENT ● U.S. Department of Energy Contract DE-FC26-05NT42667 ● Minerals Management Service Contract 1435-01-05-CT-39388 Hydrate research funded by: