Technology Modeling In EIA’s New Oil & Gas Model

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INTEK 1 Technology Modeling In EIA’s New Oil & Gas Model April 21, 2008 Tulsa, Oklahoma Presented by: Michael Schaal, EIA Hitesh Mohan, INTEK

Transcript of Technology Modeling In EIA’s New Oil & Gas Model

Page 1: Technology Modeling In EIA’s New Oil & Gas Model

INTEK 1

Technology Modeling In EIA’s New Oil & Gas Model

April 21, 2008Tulsa, Oklahoma

Presented by:Michael Schaal, EIA

Hitesh Mohan, INTEK

Page 2: Technology Modeling In EIA’s New Oil & Gas Model

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AGENDA

• Scope of EIA’s NEMS Model

• Overview of Onshore Lower 48 Oil & Gas Model

• Technology Modeling in OLOGSS

• Effects of R & D Improvements

• Summary

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EIA NEMS Model

Integrating

Module

Oil and GasSupply Module

Natural Gas Transmission

And DistributionModule

Coal Market Module

Renewable Fuels Module

Residential DemandModule

Commercial Demand Module

TransportationDemand Module

Industrial DemandModule

MacroeconomicActivityModule

International EnergyModule

Electricity MarketModule

PetroleumMarketModule

Supply Conversion Demand

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Analytical Capabilities of NEMS

• Impacts On The Production And Price Of Crude Oil And Natural Gas Resulting From Improvements In Explorations And Production Technologies.

• Responses Of The Energy And Economic Systems To Changes In World Market Conditions As A Result Of Changing Levels Of Foreign Production And Demand In The Developing Countries.

• Impacts Of New Technologies On Consumption And Production Patterns And Emissions.

• Impacts Of Existing And Proposed Energy Tax Policies On The U.S Economy And Energy Systems.

• Effects Of Specific Policies, Such As Standards Or Renewable Tax Credits, On Energy Consumption.

• Impacts Of Energy Prices, Energy Consumption, Electricity Generation In Response To Carbon Mitigation Policies Such As Carbon Fees, Limits On Carbon Emissions, Or Permit Trading Systems.

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INTEK 5

New Onshore Lower 48 Oil & Gas Model (OLOGSS)

Integrating

Module

Oil and GasSupply Module

Natural Gas Transmission

And DistributionModule

Coal Market Module

Renewable Fuels Module

Residential DemandModule

Commercial Demand Module

TransportationDemand Module

Industrial DemandModule

MacroeconomicActivityModule

International EnergyModule

Electricity MarketModule

PetroleumMarketModule

Supply Conversion Demand

OGSM

Domestic Foreign

Onshore Offshore AlaskaThe new “OLOGSS”

OGSM

Domestic Foreign

Onshore Offshore AlaskaThe new “OLOGSS”

OGSM

Domestic Foreign

Onshore Offshore AlaskaThe new “OLOGSS”

OGSM

Domestic Foreign

Onshore Offshore Alaska

Oil

The new “OLOGSS”

Gas

Known Fields- Conventional- Unconventional

Undiscovered- Conventional- Unconventional

Known Fields- Conventional- Unconventional

Undiscovered- Conventional- Unconventional

OGSM

Domestic Foreign

Onshore Offshore AlaskaThe new “OLOGSS”

OGSM

Domestic Foreign

Onshore Offshore AlaskaThe new “OLOGSS”

OGSM

Domestic Foreign

Onshore Offshore AlaskaThe new “OLOGSS”

OGSM

Domestic Foreign

Onshore Offshore Alaska

Oil

The new “OLOGSS”

Gas

Known Fields- Conventional- Unconventional

Undiscovered- Conventional- Unconventional

Known Fields- Conventional- Unconventional

Undiscovered- Conventional- Unconventional

Known Fields- Conventional- Unconventional

Undiscovered- Conventional- Unconventional

Known Fields- Conventional- Unconventional

Undiscovered- Conventional- Unconventional

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INTEK 6

Capabilities of OLOGSS

Lower 48 Onshore

History FutureReserves Growth

New Discoveries

Existing Fields

• Model Entire Oil & Gas Resource in Lower 48 States Conventional Unconventional

• Tight Sand• Oil Shale• Continuous Formations, etc

• Ability to Model Technology Change /

Improvements Land Access Issues Legislative Policy Issues (Royalty

Relief, Tax Credits, etc)

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Overview Of System Logic

Technology Modeling

Resource Database

Process Models

Economic & Timing

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Effect of Technology Advances

• Three Major Effects:

• Effect on Overall Production Profile of the Resource

• Effect on Economics of the Resource

• Combination of Both

Time

Ave

rage

Dai

ly P

rodu

ctio

n (B

OE

)

History Future

Improvement of Production

Time

Ave

rage

Dai

ly P

rodu

ctio

n (B

OE)

History Furture

End of Economic Life

I

Extended Life

II

Improvement of Project Economics

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Three Phases of Technology Development:Fr

actio

n of

Indu

stry

Usi

ng T

echn

olog

y 1

0

Frac

tion

of In

dust

ry U

sing

Tec

hnol

ogy 11

0

R&D Phase

Market Saturation

Market Acceptance

Demonstration

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Possibilities of Phase Outcomes

• RD & D Phase (Outcome)• -Technology May be a Success• -Technology May be Unsuccessful• - Performance May be a fraction of Targeted Goals

• Implementation Phase• -Effective or Not Effective• -Lack of Understanding• -Lack of Access to Technology

Chancesof

Success

Market Acceptance

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Impacts of Multiple Technologies

UGRSSTechnology

Impact

8

12

5

4

7

3

9

10

6

11Mutually Exclusive (M) : Or

Additive (A): + =

Synergetic (S):

TechA

TechA

TechB

Tech B

Tech A&B

TechB

TechA

Measuring Technology Impacts

UGRSSTechnology

Impact

8

12

5

4

7

3

9

10

6

11Mutually Exclusive (M) : Or

Additive (A): + =

Synergetic (S):

TechA

TechA

TechB

Tech B

Tech A&B

TechB

TechA

Measuring Technology Impacts

Resource Oil or Gas

Example:

• Reservoir Characteristics Help Improve Production by 15%

• Drilling Bit Improvements Help Reduce Drilling Cost by 10%

These Technologies are Mutually Exclusive, Additive, and/or Synergetic

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Why We Are Here

• To Identify Technologies/ Technology Groups

• Discuss Possible Outcomes of Such Technologies

• Suggest Target Improvement

• Market Acceptance & Possibility of Success

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R & D

Time

Ave

rage

Dai

ly P

rodu

ctio

n (B

OE)

History Future

Increased Production Due to Technology Improvement

Increased Production

Cost Reductions

Policy & Economic Decisions

+

Technology Development Path

Invested

Uncertanities

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Technology Groups

A. Reservoir Characterization/Management

B. Drilling/Completion

C. Stimulation/ Fracturing

D. Specific Processes

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POSSIBLE OUTCOMES

A: Reservoir Characterization / Management

APPLICABLE RESOURCESCONVENTIONAL UNCONVENTIONAL

R & D FOCUS

• Seismic 4D

• Geological Modeling

• Logging Tools

• Downhole Sensors

• Reservoir Simulators

• Project Management

• Decrease Dry Hole rate

• Increase Resource Recovery

• Optimize Productivity

• Define Reservoir Heterogeneity

• Increase Resource Accessibility

• Optimize Well Planning & Construction

• Reduce Operating Cost

OIL OILGAS GAS

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A: Reservoir Characterization / Management Targets

R & D Focus Possible OutcomesTarget (%)

MarketAcceptance

ProbabilityOf Success%

Cost to Apply Technology (%) **

• Seismic 4D - Reduce Dry Hole Rate- Increase Resource Recovery

- 20+ 5-10

50-70 60-80 10

• Geological Modeling

- Define Reservoir Heterogeneity - Optimize Productivity

Qualitative+ 4-6

60-80 80-90 2-4

• Logging Tools - Define Reservoir Heterogeneity- Increase Resource Accessibility

Qualitative+ 4-6

80-90 60-80 4-6

• Downhole Sensors

- Reduce Real Time and Cost- Optimize Productivity

- 6-8+ 4-7

50-60 50-70 6-8

• Reservoir Simulators

- Increases Resource Accessibility- Reduces Real-Time and Cost

+ 4-6- 2-5

75-80 80-90 3-4

• Project Management

- Optimize Well Planning & Constructions

Qualitative 80-90 80-90 2-4

** % of Total Operating Cost

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POSSIBLE OUTCOMES

B: Drilling/ Completion

APPLICABLE RESOURCESCONVENTIONAL UNCONVENTIONAL

R & D FOCUS

• Down Hole Seismic

• Drilling Cutters

• Drilling Fluids

• Down hole Logging While Drilling

• Advance Completion Techniques

• Reduce Near Well bore Damage

• Increase Drilling Efficiency

• Increase Rate Of Penetration

• Improves Hole Quality and ReduceRig Time

• Increase Multiple Zone Completion

• Reduce Economic & Technical Risk

OIL OILGAS GAS

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B: Drilling/Completion Targets

R & D Focus Possible Outcomes Target(%)

Market Acceptance

(%)

Probability Of Success

Cost to Apply Technology

(%) **• Down Hole Seismic

- Increase Accuracy of Formation Evaluation

- Increase Resource Development

Qualitative

50-70 65 7-9

• Drilling Cutters

- Increase Rate Of Penetration- Decrease Rig Time

+ 4-6- 5-7

50-60 70 2-4

• Drilling Fluids

- Increase Drilling Efficiency- Reduce Drilling Cost

+ 4-7- 6-8

50-70 55 2-4

• Down hole Logging While

Drilling

- Stability in Pay Zone- Increase Drilling Efficiency

Qualitative“

• Advanced Completion Techniques

- Multiply Zone Completions- Reduce Near WellBore Damage

** % of Total Operating Cost

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POSSIBLE OUTCOMES

C: Stimulation/Fracturing

APPLICABLE RESOURCESCONVENTIONAL UNCONVENTIONAL

R & D FOCUS

• Remote Sensors

• Natural Fracture Detection

• Advanced StimulationTechniques

• Hydraulic FracturingTechniques

• Well Bore Flow Modeling

• Increase Resource Recovery

• Increase Target Efficiency

• Optimize Field Development

• Reduce Stimulation Cost

• Reduce Overall Cost

• Increase Production Rates, and Reduce Well Cleanup Times.

OIL OILGAS GAS

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C: Stimulation / Fracturing Targets

R & D Focus Possible Outcomes Target(%)

Market Acceptance

(%)

ProbabilityOf

Success(%)

Cost to Apply Technology

(%) **

• Micro Hole Fracture Techniques

- Increase Resource Recovery- Increase Production Rates

+ 4-7+ 5-7

60 65 5-8

• Borehole Imaging - Increase Target Efficiency- Reduce Stimulation Time

+ 2-3- 6-8

55 60 5-6

• Advanced Stimulation Techniques

- Increase Target Efficiency- Increase Production Rates & Reduce Well Cleanup Times- Reduce Skin

+ 6-9+ 6-8

- 10

60 68 4-5

• Hydraulic Fracturing Monitors

- Increase Production Rates & Reduce Well Cleanup Times

+ 5-6 65 65 3-6

•Well Bore FlowModeling

- Define Types Of Stimulation Required

Qualitative 62 60 2-4

** % of Total Operating Cost

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Specific Processes

• CO2 EOR– Increase Injection Rate ---> By How Much?– Volume of CO2 Injected

• 0.4 HCPV – Normally Used• Is 1.0 HCPV or Higher – A new industry practice?

– Use of Industrial CO2• How soon do you think capture technologies can be commercialized

– EIA assumes 4- 8 years depending on source of emission.

• How much is the operator willing to pay for CO2delivered at well head?

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Summary

• All target improvements will be calculated in the process and timing models.

• Variables will be defined to address such target improvements.

• EIA expects to complete this model by June/July 2008– Testing and final results by September 2008

• EIA will present preliminary results to this committee in August 2008 for comments and suggestions.

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POSSIBLE OUTCOMES

Other Technologies Not Considered

APPLICABLE RESOURCESCONVENTIONAL UNCONVENTIONAL

R & D FOCUS

OIL OILGAS GAS

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Targets for Other Technologies

R & D Focus Possible Outcomes Target(%)

Market Acceptance

(%)

ProbabilityOf

Success(%)

Cost to Apply Technology

(%) **

** % of Total Operating Cost