SlideShare uma empresa Scribd logo
1 de 20
Technology Strategy Considerations
in Reservoir Optimization
Susan Smith Nash, Ph.D.
AAPG
Real-Life Scenarios
Stage 1 Operations: Acquiring Acreage / Selecting
Locations / Managing Operations
Stage II Operations Beyond HBP: Strategic Development
Capital Issues: Investors, Partners, Mergers, Acquisitions
Realistic Concerns
• Fluctuating (and low) gas prices
• Rapid decline curves (and not sure why)
• Escalating drilling, completion, operating costs
• Extremely heterogeneous reservoir
Who are you talking to?
• Technical team (including specialists / managers)
• Executive level (since your strategy will shape the
overall trajectory of the company)
• Land and legal team
Match Technology to Overall Goal
• Common understanding of organizational
mission / vision
• Predictable financial behavior (if you’re a
public company, Wall Street hates
uncertainty; if you’re looking to sell, so do
potential buyers)
• Leadership:
• 10 years in the future
• 20 years in the future
Susan Smith Nash, Ph.D.
6
Field/Reservoir Development
• Capacity-building infrastructure, built for future
financial flexibility
• Assume continued ownership
• Assume eventual merger or divestiture
• Assume “proof of concept” flipping
• Assume NOC partnering (and “selling” your
ability to train and perform effective technology
transfer to build technological know-how and
capacity within their human capital)
Susan Smith Nash, Ph.D.
7
Leadership
• Simultaneous Scenarios
• Long-term
• Near-term
Susan Smith Nash, Ph.D.
8
Leadership: Current Volatility
• Political climate: does this affect the types of approaches
you can take to identify sweet spots and exploit them?
• Environmental climate: aquifers? Water quality?
Droughts? Induced seismicity?
• Unpopular reconnaissance tactics
• Unpopular drilling approaches
• Unpopular completions
• Unpopular Enhanced Oil Recovery
• The Shock of the New
• The “Freshness Factor”
• The Allure of the Fantastic
Susan Smith Nash, Ph.D.
9
Technology Strategy
“What do you think is the single technology that will
make the most significant difference in optimizing oil and
gas shale production in North America?” (World Oil /
Shale Technology Review, July 2013)
•Hydraulic fracturing
• Optimizing frac stages: reduce water and proppant per
well
• Horizontal lift to dewater horizontal gas wells
•Water management
•Drilling optimization
Susan Smith Nash, Ph.D.
10
Strategy & Definitions (“Sweet Spots”)
Recognizing the definitions are functions of current
technological limitations (or perceptions of such)
• Unconventionals / Shale Plays
• Brittleness (and ways of determining it)
• Fracture networks
• Faults and other structural determiners
• Porosity (granular / secondary / dolomitization,
etc.)
• Permeability
• TOC and maturation factors
Susan Smith Nash, Ph.D.
11
Strategy & Definitions (“Sweet Spots”)
Recognizing the definitions are functions of current
technological limitations (or perceptions of such)
• Deepwater
• Turbidite architectures
• Compartmentalization due to permeability barriers
• Salt deformation, etc.
Susan Smith Nash, Ph.D.
12
Business Drivers: Technology Strategy
• Can impede sweet spot-driven approach (need to hold
the acreage or continuous drilling clause, as in some
unconventionals and also in offshore blocks)
• Can restrict the type and amount of technology used
(need partner “buy-in” for expensive seismic
acquisition and/or processing / re-processing)
• Cost-benefit analysis / ROI for each important set of
data and/or test
• List and include in AFE and/or Joint Operating
Agreement
• Can cause one to miss the window for the tests / data
gathering (example: seismic, cores, logs, etc.)
Susan Smith Nash, Ph.D.
13
Partners, Teams, & Technology Strategy
• Partner issues (disagreements, non-payment, election
not to participate) can lead to the wrong focus in belt-
tightening – need to re-think the “difficult choices”
• Engineers and geologists must be able to see through
some tactics used in well-timed production
manipulations (just before earnings reports, etc.)
• Lack of midstream facilities can skew numbers, and
weaken case for new locations and/or tests: Service
companies recommending a path of action need to be
well aware of any and all midstream issues, and also
the big picture
Susan Smith Nash, Ph.D.
14
Monitoring Progress As You Go
• Measurements and Analytics
• What metrics do you gather as you go?
• How do you know they’re appropriate?
• Meshing metrics / cluster analyses
• Decisions that must be made as you go
• Cluttered, undifferentiated, potentially obfuscating data
• The danger of oversimplification
Susan Smith Nash, Ph.D.
15
Multi-Disciplinary Strategies
• Examining “multi-disciplinary”
• Blending
• Overlaps
• New lenses
• How is multi-disciplinary strategic?
• Requires an approach to do it well
• Leadership is a must
• Visionary leadership
• Emulatory leadership
Susan Smith Nash, Ph.D.
16
Benefiting from
MultiDisciplinary Strategic Decisions
• Technological breakthroughs
• New adoptions: of technique and also in new
applications / places
• Where something “must” be done, due to time /
cost / depth / complications
• Examples: new types of core analyses / innovative
frac techniques / processes / imaging / logs /
integration
Susan Smith Nash, Ph.D.
17
How Do You Gain an Edge?
• Consortium?
• University of Oklahoma (shales / geomechanics)
• Colorado School of Mines (play-based: Niobrara / Bakken /
Vaca Muerta)
• BEG (deepwater / Marcellus)
• DIY research?
• ExxonMobil’s upstream research lab
• Service companies?
• Breadth of knowledge, experience, hands-on
• Sometimes under pressure
• Consultants?
• Experience, vision, may be booked up
• Contractors?
• Ephemeral resource?
Susan Smith Nash, Ph.D.
18
Achieving Strategic Objectives with
Technology
• Geology / Geophysics
• As many studies as you can
• Cores / reservoirs / analytical tools / logs / petrophysics
• Nano-scale
• Smart sensors (drilling, frac’ing, production)
• Drilling / Completions “Proof of Concept”
• Integrate geology / structure / fractures with drilling data /
production data (fractures / joint sets / pressures
• Integrate & bring together data sets, seek patterns
• Seismic / microseis / cores / petrophysics / imaging
• Tie to production
Susan Smith Nash, Ph.D.
19
Analytics / Big Data: The Road Ahead
• Cluster analysis
• Patterns
• Integration of different knowledge sets
• What’s relevant? What’s not?
Susan Smith Nash, Ph.D.
20
Reality
• Must think ahead to potential business-
driver impediments and be sure to
anticipate
• Develop a preemptive strategy to be able to
obtain the data needed to make good
decisions based on best practices and
utilization of best technologies
Susan Smith Nash, Ph.D.
21

Mais conteúdo relacionado

Semelhante a Technology strategy-considerations-in-reservoir-optimization

ISEC'18 Tutorial: Research Methodology on Pursuing Impact-Driven Research
ISEC'18 Tutorial: Research Methodology on Pursuing Impact-Driven ResearchISEC'18 Tutorial: Research Methodology on Pursuing Impact-Driven Research
ISEC'18 Tutorial: Research Methodology on Pursuing Impact-Driven ResearchTao Xie
 
Applying TQM and the Toyota Production System in Development of Software Arti...
Applying TQM and the Toyota Production System in Development of Software Arti...Applying TQM and the Toyota Production System in Development of Software Arti...
Applying TQM and the Toyota Production System in Development of Software Arti...Dave Litwiller
 
Introduction To VEVA
Introduction To VEVAIntroduction To VEVA
Introduction To VEVAsam80437
 
MUDROD - Mining and Utilizing Dataset Relevancy from Oceanographic Dataset Me...
MUDROD - Mining and Utilizing Dataset Relevancy from Oceanographic Dataset Me...MUDROD - Mining and Utilizing Dataset Relevancy from Oceanographic Dataset Me...
MUDROD - Mining and Utilizing Dataset Relevancy from Oceanographic Dataset Me...Yongyao Jiang
 
Human Factors at the Grid Edge
Human Factors at the Grid EdgeHuman Factors at the Grid Edge
Human Factors at the Grid EdgeCori Faklaris
 
Business Case analysis framework
Business Case analysis frameworkBusiness Case analysis framework
Business Case analysis frameworkElectraBleu1
 
q-Maxim’s approach to waste reduction in foundry application using Taguchi ...
q-Maxim’s approach to waste reduction in  foundry application  using Taguchi ...q-Maxim’s approach to waste reduction in  foundry application  using Taguchi ...
q-Maxim’s approach to waste reduction in foundry application using Taguchi ...q-Maxim
 
Syst 542 paper presentation erickson final
Syst 542 paper presentation erickson finalSyst 542 paper presentation erickson final
Syst 542 paper presentation erickson finalJohn C. Erickson
 
Denver Startup Week 2019: Choosing a Direction Learning How to Test Ideas and...
Denver Startup Week 2019: Choosing a Direction Learning How to Test Ideas and...Denver Startup Week 2019: Choosing a Direction Learning How to Test Ideas and...
Denver Startup Week 2019: Choosing a Direction Learning How to Test Ideas and...BrittanyRubinstein
 
Computational Thinking in the Workforce and Next Generation Science Standards...
Computational Thinking in the Workforce and Next Generation Science Standards...Computational Thinking in the Workforce and Next Generation Science Standards...
Computational Thinking in the Workforce and Next Generation Science Standards...Josh Sheldon
 
Visualization for public policy (2016)
Visualization for public policy (2016)Visualization for public policy (2016)
Visualization for public policy (2016)Arthi Krishnaswami
 
Risking all you have, for what you can’t leave behind by Adam Cooke, Yancoal ...
Risking all you have, for what you can’t leave behind by Adam Cooke, Yancoal ...Risking all you have, for what you can’t leave behind by Adam Cooke, Yancoal ...
Risking all you have, for what you can’t leave behind by Adam Cooke, Yancoal ...AVEVA Group plc
 
Introduction To VEVA
Introduction To VEVAIntroduction To VEVA
Introduction To VEVAcmlandau
 
Classifying R&D: Why and How Organizations Develop Taxonomies for Research Fi...
Classifying R&D: Why and How Organizations Develop Taxonomies for Research Fi...Classifying R&D: Why and How Organizations Develop Taxonomies for Research Fi...
Classifying R&D: Why and How Organizations Develop Taxonomies for Research Fi...CASRAI
 
Maximise Your Research Potential with Relevant Industry
Maximise Your Research Potential with Relevant IndustryMaximise Your Research Potential with Relevant Industry
Maximise Your Research Potential with Relevant IndustryDr. Mazlan Abbas
 

Semelhante a Technology strategy-considerations-in-reservoir-optimization (20)

ISEC'18 Tutorial: Research Methodology on Pursuing Impact-Driven Research
ISEC'18 Tutorial: Research Methodology on Pursuing Impact-Driven ResearchISEC'18 Tutorial: Research Methodology on Pursuing Impact-Driven Research
ISEC'18 Tutorial: Research Methodology on Pursuing Impact-Driven Research
 
IBS-BIAKM-2013-keynote
IBS-BIAKM-2013-keynoteIBS-BIAKM-2013-keynote
IBS-BIAKM-2013-keynote
 
Applying TQM and the Toyota Production System in Development of Software Arti...
Applying TQM and the Toyota Production System in Development of Software Arti...Applying TQM and the Toyota Production System in Development of Software Arti...
Applying TQM and the Toyota Production System in Development of Software Arti...
 
Introduction To VEVA
Introduction To VEVAIntroduction To VEVA
Introduction To VEVA
 
PDC+++ Module 2 Class 9 Design Techniques I
PDC+++ Module 2 Class 9 Design Techniques IPDC+++ Module 2 Class 9 Design Techniques I
PDC+++ Module 2 Class 9 Design Techniques I
 
Trends in Surveying
Trends in SurveyingTrends in Surveying
Trends in Surveying
 
MUDROD - Mining and Utilizing Dataset Relevancy from Oceanographic Dataset Me...
MUDROD - Mining and Utilizing Dataset Relevancy from Oceanographic Dataset Me...MUDROD - Mining and Utilizing Dataset Relevancy from Oceanographic Dataset Me...
MUDROD - Mining and Utilizing Dataset Relevancy from Oceanographic Dataset Me...
 
Human Factors at the Grid Edge
Human Factors at the Grid EdgeHuman Factors at the Grid Edge
Human Factors at the Grid Edge
 
Business Case analysis framework
Business Case analysis frameworkBusiness Case analysis framework
Business Case analysis framework
 
Research design svuku
Research design   svukuResearch design   svuku
Research design svuku
 
q-Maxim’s approach to waste reduction in foundry application using Taguchi ...
q-Maxim’s approach to waste reduction in  foundry application  using Taguchi ...q-Maxim’s approach to waste reduction in  foundry application  using Taguchi ...
q-Maxim’s approach to waste reduction in foundry application using Taguchi ...
 
Syst 542 paper presentation erickson final
Syst 542 paper presentation erickson finalSyst 542 paper presentation erickson final
Syst 542 paper presentation erickson final
 
Denver Startup Week 2019: Choosing a Direction Learning How to Test Ideas and...
Denver Startup Week 2019: Choosing a Direction Learning How to Test Ideas and...Denver Startup Week 2019: Choosing a Direction Learning How to Test Ideas and...
Denver Startup Week 2019: Choosing a Direction Learning How to Test Ideas and...
 
Program on Mathematical and Statistical Methods for Climate and the Earth Sys...
Program on Mathematical and Statistical Methods for Climate and the Earth Sys...Program on Mathematical and Statistical Methods for Climate and the Earth Sys...
Program on Mathematical and Statistical Methods for Climate and the Earth Sys...
 
Computational Thinking in the Workforce and Next Generation Science Standards...
Computational Thinking in the Workforce and Next Generation Science Standards...Computational Thinking in the Workforce and Next Generation Science Standards...
Computational Thinking in the Workforce and Next Generation Science Standards...
 
Visualization for public policy (2016)
Visualization for public policy (2016)Visualization for public policy (2016)
Visualization for public policy (2016)
 
Risking all you have, for what you can’t leave behind by Adam Cooke, Yancoal ...
Risking all you have, for what you can’t leave behind by Adam Cooke, Yancoal ...Risking all you have, for what you can’t leave behind by Adam Cooke, Yancoal ...
Risking all you have, for what you can’t leave behind by Adam Cooke, Yancoal ...
 
Introduction To VEVA
Introduction To VEVAIntroduction To VEVA
Introduction To VEVA
 
Classifying R&D: Why and How Organizations Develop Taxonomies for Research Fi...
Classifying R&D: Why and How Organizations Develop Taxonomies for Research Fi...Classifying R&D: Why and How Organizations Develop Taxonomies for Research Fi...
Classifying R&D: Why and How Organizations Develop Taxonomies for Research Fi...
 
Maximise Your Research Potential with Relevant Industry
Maximise Your Research Potential with Relevant IndustryMaximise Your Research Potential with Relevant Industry
Maximise Your Research Potential with Relevant Industry
 

Último

Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon  6297143586 Call Hot Indian Gi...Booking open Available Pune Call Girls Pargaon  6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...Call Girls in Nagpur High Profile
 
result management system report for college project
result management system report for college projectresult management system report for college project
result management system report for college projectTonystark477637
 
AKTU Computer Networks notes --- Unit 3.pdf
AKTU Computer Networks notes ---  Unit 3.pdfAKTU Computer Networks notes ---  Unit 3.pdf
AKTU Computer Networks notes --- Unit 3.pdfankushspencer015
 
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptxBSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptxfenichawla
 
KubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghlyKubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghlysanyuktamishra911
 
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...Call Girls in Nagpur High Profile
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxupamatechverse
 
Glass Ceramics: Processing and Properties
Glass Ceramics: Processing and PropertiesGlass Ceramics: Processing and Properties
Glass Ceramics: Processing and PropertiesPrabhanshu Chaturvedi
 
University management System project report..pdf
University management System project report..pdfUniversity management System project report..pdf
University management System project report..pdfKamal Acharya
 
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur High Profile
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSSIVASHANKAR N
 
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdfONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdfKamal Acharya
 
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptxIntroduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptxupamatechverse
 
Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...
Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...
Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...Christo Ananth
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxpranjaldaimarysona
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSISrknatarajan
 

Último (20)

Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon  6297143586 Call Hot Indian Gi...Booking open Available Pune Call Girls Pargaon  6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...
 
result management system report for college project
result management system report for college projectresult management system report for college project
result management system report for college project
 
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINEDJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
 
Water Industry Process Automation & Control Monthly - April 2024
Water Industry Process Automation & Control Monthly - April 2024Water Industry Process Automation & Control Monthly - April 2024
Water Industry Process Automation & Control Monthly - April 2024
 
AKTU Computer Networks notes --- Unit 3.pdf
AKTU Computer Networks notes ---  Unit 3.pdfAKTU Computer Networks notes ---  Unit 3.pdf
AKTU Computer Networks notes --- Unit 3.pdf
 
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptxBSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
 
KubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghlyKubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghly
 
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
 
Glass Ceramics: Processing and Properties
Glass Ceramics: Processing and PropertiesGlass Ceramics: Processing and Properties
Glass Ceramics: Processing and Properties
 
University management System project report..pdf
University management System project report..pdfUniversity management System project report..pdf
University management System project report..pdf
 
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
 
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdfONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
 
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptxIntroduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
 
Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...
Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...
Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSIS
 
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
 

Technology strategy-considerations-in-reservoir-optimization

  • 1. Technology Strategy Considerations in Reservoir Optimization Susan Smith Nash, Ph.D. AAPG
  • 2. Real-Life Scenarios Stage 1 Operations: Acquiring Acreage / Selecting Locations / Managing Operations Stage II Operations Beyond HBP: Strategic Development Capital Issues: Investors, Partners, Mergers, Acquisitions
  • 3. Realistic Concerns • Fluctuating (and low) gas prices • Rapid decline curves (and not sure why) • Escalating drilling, completion, operating costs • Extremely heterogeneous reservoir
  • 4. Who are you talking to? • Technical team (including specialists / managers) • Executive level (since your strategy will shape the overall trajectory of the company) • Land and legal team
  • 5. Match Technology to Overall Goal • Common understanding of organizational mission / vision • Predictable financial behavior (if you’re a public company, Wall Street hates uncertainty; if you’re looking to sell, so do potential buyers) • Leadership: • 10 years in the future • 20 years in the future Susan Smith Nash, Ph.D. 6
  • 6. Field/Reservoir Development • Capacity-building infrastructure, built for future financial flexibility • Assume continued ownership • Assume eventual merger or divestiture • Assume “proof of concept” flipping • Assume NOC partnering (and “selling” your ability to train and perform effective technology transfer to build technological know-how and capacity within their human capital) Susan Smith Nash, Ph.D. 7
  • 7. Leadership • Simultaneous Scenarios • Long-term • Near-term Susan Smith Nash, Ph.D. 8
  • 8. Leadership: Current Volatility • Political climate: does this affect the types of approaches you can take to identify sweet spots and exploit them? • Environmental climate: aquifers? Water quality? Droughts? Induced seismicity? • Unpopular reconnaissance tactics • Unpopular drilling approaches • Unpopular completions • Unpopular Enhanced Oil Recovery • The Shock of the New • The “Freshness Factor” • The Allure of the Fantastic Susan Smith Nash, Ph.D. 9
  • 9. Technology Strategy “What do you think is the single technology that will make the most significant difference in optimizing oil and gas shale production in North America?” (World Oil / Shale Technology Review, July 2013) •Hydraulic fracturing • Optimizing frac stages: reduce water and proppant per well • Horizontal lift to dewater horizontal gas wells •Water management •Drilling optimization Susan Smith Nash, Ph.D. 10
  • 10. Strategy & Definitions (“Sweet Spots”) Recognizing the definitions are functions of current technological limitations (or perceptions of such) • Unconventionals / Shale Plays • Brittleness (and ways of determining it) • Fracture networks • Faults and other structural determiners • Porosity (granular / secondary / dolomitization, etc.) • Permeability • TOC and maturation factors Susan Smith Nash, Ph.D. 11
  • 11. Strategy & Definitions (“Sweet Spots”) Recognizing the definitions are functions of current technological limitations (or perceptions of such) • Deepwater • Turbidite architectures • Compartmentalization due to permeability barriers • Salt deformation, etc. Susan Smith Nash, Ph.D. 12
  • 12. Business Drivers: Technology Strategy • Can impede sweet spot-driven approach (need to hold the acreage or continuous drilling clause, as in some unconventionals and also in offshore blocks) • Can restrict the type and amount of technology used (need partner “buy-in” for expensive seismic acquisition and/or processing / re-processing) • Cost-benefit analysis / ROI for each important set of data and/or test • List and include in AFE and/or Joint Operating Agreement • Can cause one to miss the window for the tests / data gathering (example: seismic, cores, logs, etc.) Susan Smith Nash, Ph.D. 13
  • 13. Partners, Teams, & Technology Strategy • Partner issues (disagreements, non-payment, election not to participate) can lead to the wrong focus in belt- tightening – need to re-think the “difficult choices” • Engineers and geologists must be able to see through some tactics used in well-timed production manipulations (just before earnings reports, etc.) • Lack of midstream facilities can skew numbers, and weaken case for new locations and/or tests: Service companies recommending a path of action need to be well aware of any and all midstream issues, and also the big picture Susan Smith Nash, Ph.D. 14
  • 14. Monitoring Progress As You Go • Measurements and Analytics • What metrics do you gather as you go? • How do you know they’re appropriate? • Meshing metrics / cluster analyses • Decisions that must be made as you go • Cluttered, undifferentiated, potentially obfuscating data • The danger of oversimplification Susan Smith Nash, Ph.D. 15
  • 15. Multi-Disciplinary Strategies • Examining “multi-disciplinary” • Blending • Overlaps • New lenses • How is multi-disciplinary strategic? • Requires an approach to do it well • Leadership is a must • Visionary leadership • Emulatory leadership Susan Smith Nash, Ph.D. 16
  • 16. Benefiting from MultiDisciplinary Strategic Decisions • Technological breakthroughs • New adoptions: of technique and also in new applications / places • Where something “must” be done, due to time / cost / depth / complications • Examples: new types of core analyses / innovative frac techniques / processes / imaging / logs / integration Susan Smith Nash, Ph.D. 17
  • 17. How Do You Gain an Edge? • Consortium? • University of Oklahoma (shales / geomechanics) • Colorado School of Mines (play-based: Niobrara / Bakken / Vaca Muerta) • BEG (deepwater / Marcellus) • DIY research? • ExxonMobil’s upstream research lab • Service companies? • Breadth of knowledge, experience, hands-on • Sometimes under pressure • Consultants? • Experience, vision, may be booked up • Contractors? • Ephemeral resource? Susan Smith Nash, Ph.D. 18
  • 18. Achieving Strategic Objectives with Technology • Geology / Geophysics • As many studies as you can • Cores / reservoirs / analytical tools / logs / petrophysics • Nano-scale • Smart sensors (drilling, frac’ing, production) • Drilling / Completions “Proof of Concept” • Integrate geology / structure / fractures with drilling data / production data (fractures / joint sets / pressures • Integrate & bring together data sets, seek patterns • Seismic / microseis / cores / petrophysics / imaging • Tie to production Susan Smith Nash, Ph.D. 19
  • 19. Analytics / Big Data: The Road Ahead • Cluster analysis • Patterns • Integration of different knowledge sets • What’s relevant? What’s not? Susan Smith Nash, Ph.D. 20
  • 20. Reality • Must think ahead to potential business- driver impediments and be sure to anticipate • Develop a preemptive strategy to be able to obtain the data needed to make good decisions based on best practices and utilization of best technologies Susan Smith Nash, Ph.D. 21