SlideShare a Scribd company logo
1 of 21
Shale Gas
      Computer Simulation Models



                              Prepared by
                        Source Rock Engineering



                                26 May, 2010




www.sourcerockeng.com
Computer Simulation
     • Most comprehensive tool for evaluating the different
       factors that influence gas reserves and production rates
     • Applied for several decades by the petroleum industry
       to evaluate a wide range of very large to very small
       development projects
     • Forecast accuracy depends on the quality and quantity
       of data that define the gas resource.
     • Calculations honor the physical laws of nature and so
       the calculated results can not be unrealistic, unless
       unrealistic assumptions are input in the model.
     • Simulation results are now accepted for reserve
       certification
..                              2
Applications

     • Size of initial or remaining gas resource
     • Correlating historical well performance to geologic or
       timing factors.
     • Prioritizing or evaluating future well locations and
       different completion methods
     • Forecasting production for revenue forecasts and for
       surface facility designs
     • Identifying optimum well spacing




www.sourcerockeng.com           3
Simulation Software: Roxar MORE™

   • Originally GCOMP from Amoco Research
   • Now being maintained in Oxford, England
   • Runs in Windows environment
   • Relatively inexpensive but robust
   • Capable of exporting files to other simulation software
     packages
   • Roughly 6 years of Source Rock Engineering
     experience running this software for unconventional
     gas


.. www.sourcerockeng.com      4
Simulation – Model Types




.. www.sourcerockeng.com     5
Common Model Types and Applications

• Single Well
     • Evaluate different Completion or Drill Designs
     • Forecast gas rates and recoveries
     • Use the single-well forecast, along with the estimated drilling
       schedule, to develop a multiple-well production forecast.

• Multiple Well
     •   Evaluate a portion of a Lease Area or Field
     •   Test different well spacings and development schedules
     •   Calculate which well locations offer the best development potential
     •   Develop a multiple-well production forecast that accounts for
         differences in shale properties and potential interference between
         wells




www.sourcerockeng.com                 6
Single Well Models
Flow Potential of Horizontal Laterals




www.sourcerockeng.com   7
Single Well Models
Forecast Production for Drainage Area




www.sourcerockeng.com   8
Single-Well Models
Test Different Well Types

Vertical                                                        Short                                                                        Long
Well                                                            SIS                                                                          SIS




                                  110
                                           Gas Rate Comparison for Different Well Types
                                                                          Single-Well Analysis
                                                                         Gas Rate Comparison


                                  100


                                      90                                            Vertical Well     Horizonta Well (400')           Horizontal Well (3000')

                                      80


                                      70
                        GAS (Mcfd )




                                      60



                                      50



                                      40


                                      30


                                      20



                                      10


                                        0
                                        01/06   01/07   01/08    01/09
                                                                 01/09      01/10
                                                                            01/10            01/11
                                                                                             01/11   01/12
                                                                                                     01/12         01/13
                                                                                                                   01/13      01/14
                                                                                                                              01/14             01/15
                                                                                                                                                01/15           01/16
                                                                                                                                                                01/16
                                                                                     DATE



www.sourcerockeng.com                                                                     9
Multiple Well Model
Rank Development Potential




www.sourcerockeng.com   10
Simulation – Model Stages




..               11
Common Model Stages
The following apply to either single or multiple well models.
• Model Design
   • Define the model objectives, boundaries and type
   • Quality check the available measured data
   • Identify how any missing input data will be estimated, such as
     assuming the shale is similar to shale in another developed basin
• Parametric
   • Identify the impact of changing individual input assumptions
   • Determine what remaining data would be most valuable to collect
   • Identify a reasonable range of outcomes
• Resource
   • Calculate the original gas volume
• Reserve
   • Estimate the volume of gas to be recovered or left to be recovered
   • Integrate rate forecasts with capital and expense estimates to
     calculate the financial return for different development scenarios
                                 12
Model Stages: Design
Model Boundaries

                        Lease Area and Resource Area




www.sourcerockeng.com                13
Model Stages: Design
Define Level of Detail

                             Resource Model
                             55 Layers
                             430,500 cells
                             125m x 125m




www.sourcerockeng.com   14
Model Stages: Parametric Study

 SIM          GAS CONTENT              HORIZONTAL PERM      TUFT Kz      REL PERM COMPLETION WELL COUNT
  ID            Individually Test Influence of Fourteen Parameters
      Vari. Undersat. Const. Undersat. 10 md 30 md 4 md 10%K 100%K 0.1%K Dry Wet BF 301 BF Coals 12 Wells 6 Wells
BF000        X                           X                X               X        X                X
BF001        X                                 X          X               X        X                X
BF002        X                                       X    X               X        X                X
BF003        X                           X                     X          X        X                X
BF004        X                           X                           X    X        X                X
BF005        X                           X                X               X                X        X
BF006        X                           X                X               X        X                        X
BF007        X                           X                X                    X   X                X
BF008                        X           X                X               X        X                X

                                                                                                           VARYING TUFT Kz - DAILY GAS AND WATER RATES
                                                                             1000
                               Gas and Water Rates
                                 GAS RATE (ksm3/day); WATER RATE (sm3/day)




                                                                             100




                                                                                                                                                 39
                                                                                                                                                 38
                                                                                                                                                 33




                                                                                                                                                 14

                                                                              10




                              Gas and Water Rates
                                                                               1
                                                                                    2005            2006               2007                   2008                    2009                2010

                                                                                           Base GAS Rate   Base WATER Rate    TuftKz = 10md           TuftKz = 10md     TuftKz = 0.01md   TuftKz = 0.01md


                                                                                                                                   Date


www.sourcerockeng.com                                                                                                               15
Model Stages: Gas Resource
Volume Variability from Physical Changes

    100
    80
    60
    40
    20
    0
    -20
    -40
    -60
    -80
    -100
    -120
    -140
    -160
    -180
    -200
    -220
    -240
    -260
    -280




www.sourcerockeng.com   16
Model Stages: Reserve Model
Account for Geologic Flow Features


  Models to display and
  evaluate known flow
  barriers, baffles and
  enhanced flow features.




www.sourcerockeng.com       17
Model Stages: Reserves
Evaluate Different Well Patterns and Spacing




www.sourcerockeng.com   18
Model Stages: Reserves
Financial Evaluation
                 Positive Operating Cash Flow Matrix
                                                Completion   Completion   Completion
                                                  Type 1       Type 2       Type 3

           Schedule A                              No           No              No
           Schedule B                              Yes          Yes             No
           Schedule C                              No           Yes             Yes
                        Gas Rate – (ksm3/day)
                         Water Rate sm3/day




                                                                            •     0


www.sourcerockeng.com
Simulation – History Matching




..                20
Model Refinements: History Matching

• History matching is the process of changing the
  model input properties to match the performance
  of existing test or development wells
• Calibrating the model to actual production data
  greatly improves the reliability of the model
• Procedures are available for defining how and
  when key data should be collected as part of
  initial production or pressure testing of a well




                        21

More Related Content

What's hot

Team M Reservoir simulation-an extract from original ppt
Team M Reservoir simulation-an extract from original pptTeam M Reservoir simulation-an extract from original ppt
Team M Reservoir simulation-an extract from original pptMukesh Mathew
 
Comparative Analysis of Performance of Horizontal and Hydraulically Fractured...
Comparative Analysis of Performance of Horizontal and Hydraulically Fractured...Comparative Analysis of Performance of Horizontal and Hydraulically Fractured...
Comparative Analysis of Performance of Horizontal and Hydraulically Fractured...ziiishan
 
Smart Fractured Reservoir Development Strategies
Smart Fractured Reservoir Development StrategiesSmart Fractured Reservoir Development Strategies
Smart Fractured Reservoir Development StrategiesITE Oil&Gas
 
ResAssure - The World’s Fastest Reservoir Simulator | A Revolution in Reserve...
ResAssure - The World’s Fastest Reservoir Simulator | A Revolution in Reserve...ResAssure - The World’s Fastest Reservoir Simulator | A Revolution in Reserve...
ResAssure - The World’s Fastest Reservoir Simulator | A Revolution in Reserve...Stochastic Simulation
 
Final SLB Project
Final SLB ProjectFinal SLB Project
Final SLB ProjectEbuka David
 
Black Oil Reservoir Simulation Model Mis-Match Assessment through Computer-As...
Black Oil Reservoir Simulation Model Mis-Match Assessment through Computer-As...Black Oil Reservoir Simulation Model Mis-Match Assessment through Computer-As...
Black Oil Reservoir Simulation Model Mis-Match Assessment through Computer-As...Carlos R. Conde
 
Semester Project in Reservoir Simulation
Semester Project in Reservoir SimulationSemester Project in Reservoir Simulation
Semester Project in Reservoir SimulationKonstantinos D Pandis
 
An effective reservoir management by streamline based simulation, history mat...
An effective reservoir management by streamline based simulation, history mat...An effective reservoir management by streamline based simulation, history mat...
An effective reservoir management by streamline based simulation, history mat...Shusei Tanaka
 
A Nonlinear Transient Analysis of a wave-loaded steel bulkhead on a semi-subm...
A Nonlinear Transient Analysis of a wave-loaded steel bulkhead on a semi-subm...A Nonlinear Transient Analysis of a wave-loaded steel bulkhead on a semi-subm...
A Nonlinear Transient Analysis of a wave-loaded steel bulkhead on a semi-subm...SIMTEC Software and Services
 
New Approach to Design Capillary Pressure Curves, which Would Improve Simulat...
New Approach to Design Capillary Pressure Curves, which Would Improve Simulat...New Approach to Design Capillary Pressure Curves, which Would Improve Simulat...
New Approach to Design Capillary Pressure Curves, which Would Improve Simulat...Faisal Al-Jenaibi
 
2. Benoit Latapie - Foundations for infrastructure projects in MENA
2. Benoit Latapie - Foundations for infrastructure projects in MENA2. Benoit Latapie - Foundations for infrastructure projects in MENA
2. Benoit Latapie - Foundations for infrastructure projects in MENABenoit Latapie
 
Presentation (Pagkratios Chitas)
Presentation (Pagkratios Chitas)Presentation (Pagkratios Chitas)
Presentation (Pagkratios Chitas)Pagkratios Chitas
 
Streamline based history matching of arrival times and bottom-hole pressure d...
Streamline based history matching of arrival times and bottom-hole pressure d...Streamline based history matching of arrival times and bottom-hole pressure d...
Streamline based history matching of arrival times and bottom-hole pressure d...Shusei Tanaka
 
73. june 8 csnf degradation model (fmdm) all media-jerden
73. june 8 csnf degradation model (fmdm)   all media-jerden73. june 8 csnf degradation model (fmdm)   all media-jerden
73. june 8 csnf degradation model (fmdm) all media-jerdenleann_mays
 
Loadtestinghandbook
LoadtestinghandbookLoadtestinghandbook
Loadtestinghandbook920728035348
 
Efficiency and cavitation prediction for hydraulic machines
Efficiency and cavitation prediction for hydraulic machinesEfficiency and cavitation prediction for hydraulic machines
Efficiency and cavitation prediction for hydraulic machinesSIMTEC Software and Services
 
Full Paper - Ratcheting Uplift of Buried Pipelines in Sand (P. Chitas)
Full Paper - Ratcheting Uplift of Buried Pipelines in Sand (P. Chitas)Full Paper - Ratcheting Uplift of Buried Pipelines in Sand (P. Chitas)
Full Paper - Ratcheting Uplift of Buried Pipelines in Sand (P. Chitas)Pagkratios Chitas
 
Statnamic testing of soils
Statnamic testing of soilsStatnamic testing of soils
Statnamic testing of soilsSravan Muguda
 

What's hot (20)

Team M Reservoir simulation-an extract from original ppt
Team M Reservoir simulation-an extract from original pptTeam M Reservoir simulation-an extract from original ppt
Team M Reservoir simulation-an extract from original ppt
 
Reservoir Simulation
Reservoir SimulationReservoir Simulation
Reservoir Simulation
 
Comparative Analysis of Performance of Horizontal and Hydraulically Fractured...
Comparative Analysis of Performance of Horizontal and Hydraulically Fractured...Comparative Analysis of Performance of Horizontal and Hydraulically Fractured...
Comparative Analysis of Performance of Horizontal and Hydraulically Fractured...
 
Smart Fractured Reservoir Development Strategies
Smart Fractured Reservoir Development StrategiesSmart Fractured Reservoir Development Strategies
Smart Fractured Reservoir Development Strategies
 
ResAssure - The World’s Fastest Reservoir Simulator | A Revolution in Reserve...
ResAssure - The World’s Fastest Reservoir Simulator | A Revolution in Reserve...ResAssure - The World’s Fastest Reservoir Simulator | A Revolution in Reserve...
ResAssure - The World’s Fastest Reservoir Simulator | A Revolution in Reserve...
 
Final SLB Project
Final SLB ProjectFinal SLB Project
Final SLB Project
 
Black Oil Reservoir Simulation Model Mis-Match Assessment through Computer-As...
Black Oil Reservoir Simulation Model Mis-Match Assessment through Computer-As...Black Oil Reservoir Simulation Model Mis-Match Assessment through Computer-As...
Black Oil Reservoir Simulation Model Mis-Match Assessment through Computer-As...
 
Semester Project in Reservoir Simulation
Semester Project in Reservoir SimulationSemester Project in Reservoir Simulation
Semester Project in Reservoir Simulation
 
ADNOC_Simulation_Challenges
ADNOC_Simulation_ChallengesADNOC_Simulation_Challenges
ADNOC_Simulation_Challenges
 
An effective reservoir management by streamline based simulation, history mat...
An effective reservoir management by streamline based simulation, history mat...An effective reservoir management by streamline based simulation, history mat...
An effective reservoir management by streamline based simulation, history mat...
 
A Nonlinear Transient Analysis of a wave-loaded steel bulkhead on a semi-subm...
A Nonlinear Transient Analysis of a wave-loaded steel bulkhead on a semi-subm...A Nonlinear Transient Analysis of a wave-loaded steel bulkhead on a semi-subm...
A Nonlinear Transient Analysis of a wave-loaded steel bulkhead on a semi-subm...
 
New Approach to Design Capillary Pressure Curves, which Would Improve Simulat...
New Approach to Design Capillary Pressure Curves, which Would Improve Simulat...New Approach to Design Capillary Pressure Curves, which Would Improve Simulat...
New Approach to Design Capillary Pressure Curves, which Would Improve Simulat...
 
2. Benoit Latapie - Foundations for infrastructure projects in MENA
2. Benoit Latapie - Foundations for infrastructure projects in MENA2. Benoit Latapie - Foundations for infrastructure projects in MENA
2. Benoit Latapie - Foundations for infrastructure projects in MENA
 
Presentation (Pagkratios Chitas)
Presentation (Pagkratios Chitas)Presentation (Pagkratios Chitas)
Presentation (Pagkratios Chitas)
 
Streamline based history matching of arrival times and bottom-hole pressure d...
Streamline based history matching of arrival times and bottom-hole pressure d...Streamline based history matching of arrival times and bottom-hole pressure d...
Streamline based history matching of arrival times and bottom-hole pressure d...
 
73. june 8 csnf degradation model (fmdm) all media-jerden
73. june 8 csnf degradation model (fmdm)   all media-jerden73. june 8 csnf degradation model (fmdm)   all media-jerden
73. june 8 csnf degradation model (fmdm) all media-jerden
 
Loadtestinghandbook
LoadtestinghandbookLoadtestinghandbook
Loadtestinghandbook
 
Efficiency and cavitation prediction for hydraulic machines
Efficiency and cavitation prediction for hydraulic machinesEfficiency and cavitation prediction for hydraulic machines
Efficiency and cavitation prediction for hydraulic machines
 
Full Paper - Ratcheting Uplift of Buried Pipelines in Sand (P. Chitas)
Full Paper - Ratcheting Uplift of Buried Pipelines in Sand (P. Chitas)Full Paper - Ratcheting Uplift of Buried Pipelines in Sand (P. Chitas)
Full Paper - Ratcheting Uplift of Buried Pipelines in Sand (P. Chitas)
 
Statnamic testing of soils
Statnamic testing of soilsStatnamic testing of soils
Statnamic testing of soils
 

Viewers also liked

Sherritt(2009)Advances In Steady State Process Modeling Of Oil Shale Retorting
Sherritt(2009)Advances In Steady State Process Modeling Of Oil Shale RetortingSherritt(2009)Advances In Steady State Process Modeling Of Oil Shale Retorting
Sherritt(2009)Advances In Steady State Process Modeling Of Oil Shale Retortingrsherritt
 
Exploration for unconventional gas in russia
Exploration for unconventional gas in russiaExploration for unconventional gas in russia
Exploration for unconventional gas in russiaHtet Naing Htoo
 
Reservoir Simulation
Reservoir SimulationReservoir Simulation
Reservoir SimulationModesty Jnr.
 
Surfactant flooding reservoir simulation
Surfactant flooding reservoir simulationSurfactant flooding reservoir simulation
Surfactant flooding reservoir simulationHesham Mokhtar Ali
 
Tetrahedral mesh generation - robustness test
Tetrahedral mesh generation - robustness testTetrahedral mesh generation - robustness test
Tetrahedral mesh generation - robustness testLaurent Souche
 
Construction of Structurally and Stratigraphically Consistent Structural Mode...
Construction of Structurally and Stratigraphically Consistent Structural Mode...Construction of Structurally and Stratigraphically Consistent Structural Mode...
Construction of Structurally and Stratigraphically Consistent Structural Mode...Laurent Souche
 
Petrel introduction course guide
Petrel introduction course guidePetrel introduction course guide
Petrel introduction course guideMarc Diviu Franco
 
Development of Oil and Gas in Pennsylvania Where Subsurface Owners Are Unknow...
Development of Oil and Gas in Pennsylvania Where Subsurface Owners Are Unknow...Development of Oil and Gas in Pennsylvania Where Subsurface Owners Are Unknow...
Development of Oil and Gas in Pennsylvania Where Subsurface Owners Are Unknow...Lisa McManus
 
Dynamic and Static Modeling
Dynamic and Static ModelingDynamic and Static Modeling
Dynamic and Static ModelingSaurabh Kumar
 
Exploration and production, Sigve Hamilton Aspelund
Exploration and production, Sigve Hamilton AspelundExploration and production, Sigve Hamilton Aspelund
Exploration and production, Sigve Hamilton AspelundSigve Hamilton Aspelund
 

Viewers also liked (12)

Sherritt(2009)Advances In Steady State Process Modeling Of Oil Shale Retorting
Sherritt(2009)Advances In Steady State Process Modeling Of Oil Shale RetortingSherritt(2009)Advances In Steady State Process Modeling Of Oil Shale Retorting
Sherritt(2009)Advances In Steady State Process Modeling Of Oil Shale Retorting
 
US SHALE OIL & GAS OUTLOOK
US SHALE OIL & GAS OUTLOOKUS SHALE OIL & GAS OUTLOOK
US SHALE OIL & GAS OUTLOOK
 
Exploration for unconventional gas in russia
Exploration for unconventional gas in russiaExploration for unconventional gas in russia
Exploration for unconventional gas in russia
 
Reservoir Simulation
Reservoir SimulationReservoir Simulation
Reservoir Simulation
 
Surfactant flooding reservoir simulation
Surfactant flooding reservoir simulationSurfactant flooding reservoir simulation
Surfactant flooding reservoir simulation
 
Tetrahedral mesh generation - robustness test
Tetrahedral mesh generation - robustness testTetrahedral mesh generation - robustness test
Tetrahedral mesh generation - robustness test
 
Construction of Structurally and Stratigraphically Consistent Structural Mode...
Construction of Structurally and Stratigraphically Consistent Structural Mode...Construction of Structurally and Stratigraphically Consistent Structural Mode...
Construction of Structurally and Stratigraphically Consistent Structural Mode...
 
Petrel introduction course guide
Petrel introduction course guidePetrel introduction course guide
Petrel introduction course guide
 
Development of Oil and Gas in Pennsylvania Where Subsurface Owners Are Unknow...
Development of Oil and Gas in Pennsylvania Where Subsurface Owners Are Unknow...Development of Oil and Gas in Pennsylvania Where Subsurface Owners Are Unknow...
Development of Oil and Gas in Pennsylvania Where Subsurface Owners Are Unknow...
 
3D Facies Modeling
3D Facies Modeling3D Facies Modeling
3D Facies Modeling
 
Dynamic and Static Modeling
Dynamic and Static ModelingDynamic and Static Modeling
Dynamic and Static Modeling
 
Exploration and production, Sigve Hamilton Aspelund
Exploration and production, Sigve Hamilton AspelundExploration and production, Sigve Hamilton Aspelund
Exploration and production, Sigve Hamilton Aspelund
 

Source Rock Engineering Simulation Slides

  • 1. Shale Gas Computer Simulation Models Prepared by Source Rock Engineering 26 May, 2010 www.sourcerockeng.com
  • 2. Computer Simulation • Most comprehensive tool for evaluating the different factors that influence gas reserves and production rates • Applied for several decades by the petroleum industry to evaluate a wide range of very large to very small development projects • Forecast accuracy depends on the quality and quantity of data that define the gas resource. • Calculations honor the physical laws of nature and so the calculated results can not be unrealistic, unless unrealistic assumptions are input in the model. • Simulation results are now accepted for reserve certification .. 2
  • 3. Applications • Size of initial or remaining gas resource • Correlating historical well performance to geologic or timing factors. • Prioritizing or evaluating future well locations and different completion methods • Forecasting production for revenue forecasts and for surface facility designs • Identifying optimum well spacing www.sourcerockeng.com 3
  • 4. Simulation Software: Roxar MORE™ • Originally GCOMP from Amoco Research • Now being maintained in Oxford, England • Runs in Windows environment • Relatively inexpensive but robust • Capable of exporting files to other simulation software packages • Roughly 6 years of Source Rock Engineering experience running this software for unconventional gas .. www.sourcerockeng.com 4
  • 5. Simulation – Model Types .. www.sourcerockeng.com 5
  • 6. Common Model Types and Applications • Single Well • Evaluate different Completion or Drill Designs • Forecast gas rates and recoveries • Use the single-well forecast, along with the estimated drilling schedule, to develop a multiple-well production forecast. • Multiple Well • Evaluate a portion of a Lease Area or Field • Test different well spacings and development schedules • Calculate which well locations offer the best development potential • Develop a multiple-well production forecast that accounts for differences in shale properties and potential interference between wells www.sourcerockeng.com 6
  • 7. Single Well Models Flow Potential of Horizontal Laterals www.sourcerockeng.com 7
  • 8. Single Well Models Forecast Production for Drainage Area www.sourcerockeng.com 8
  • 9. Single-Well Models Test Different Well Types Vertical Short Long Well SIS SIS 110 Gas Rate Comparison for Different Well Types Single-Well Analysis Gas Rate Comparison 100 90 Vertical Well Horizonta Well (400') Horizontal Well (3000') 80 70 GAS (Mcfd ) 60 50 40 30 20 10 0 01/06 01/07 01/08 01/09 01/09 01/10 01/10 01/11 01/11 01/12 01/12 01/13 01/13 01/14 01/14 01/15 01/15 01/16 01/16 DATE www.sourcerockeng.com 9
  • 10. Multiple Well Model Rank Development Potential www.sourcerockeng.com 10
  • 11. Simulation – Model Stages .. 11
  • 12. Common Model Stages The following apply to either single or multiple well models. • Model Design • Define the model objectives, boundaries and type • Quality check the available measured data • Identify how any missing input data will be estimated, such as assuming the shale is similar to shale in another developed basin • Parametric • Identify the impact of changing individual input assumptions • Determine what remaining data would be most valuable to collect • Identify a reasonable range of outcomes • Resource • Calculate the original gas volume • Reserve • Estimate the volume of gas to be recovered or left to be recovered • Integrate rate forecasts with capital and expense estimates to calculate the financial return for different development scenarios 12
  • 13. Model Stages: Design Model Boundaries Lease Area and Resource Area www.sourcerockeng.com 13
  • 14. Model Stages: Design Define Level of Detail Resource Model 55 Layers 430,500 cells 125m x 125m www.sourcerockeng.com 14
  • 15. Model Stages: Parametric Study SIM GAS CONTENT HORIZONTAL PERM TUFT Kz REL PERM COMPLETION WELL COUNT ID Individually Test Influence of Fourteen Parameters Vari. Undersat. Const. Undersat. 10 md 30 md 4 md 10%K 100%K 0.1%K Dry Wet BF 301 BF Coals 12 Wells 6 Wells BF000 X X X X X X BF001 X X X X X X BF002 X X X X X X BF003 X X X X X X BF004 X X X X X X BF005 X X X X X X BF006 X X X X X X BF007 X X X X X X BF008 X X X X X X VARYING TUFT Kz - DAILY GAS AND WATER RATES 1000 Gas and Water Rates GAS RATE (ksm3/day); WATER RATE (sm3/day) 100 39 38 33 14 10 Gas and Water Rates 1 2005 2006 2007 2008 2009 2010 Base GAS Rate Base WATER Rate TuftKz = 10md TuftKz = 10md TuftKz = 0.01md TuftKz = 0.01md Date www.sourcerockeng.com 15
  • 16. Model Stages: Gas Resource Volume Variability from Physical Changes 100 80 60 40 20 0 -20 -40 -60 -80 -100 -120 -140 -160 -180 -200 -220 -240 -260 -280 www.sourcerockeng.com 16
  • 17. Model Stages: Reserve Model Account for Geologic Flow Features Models to display and evaluate known flow barriers, baffles and enhanced flow features. www.sourcerockeng.com 17
  • 18. Model Stages: Reserves Evaluate Different Well Patterns and Spacing www.sourcerockeng.com 18
  • 19. Model Stages: Reserves Financial Evaluation Positive Operating Cash Flow Matrix Completion Completion Completion Type 1 Type 2 Type 3 Schedule A No No No Schedule B Yes Yes No Schedule C No Yes Yes Gas Rate – (ksm3/day) Water Rate sm3/day • 0 www.sourcerockeng.com
  • 20. Simulation – History Matching .. 20
  • 21. Model Refinements: History Matching • History matching is the process of changing the model input properties to match the performance of existing test or development wells • Calibrating the model to actual production data greatly improves the reliability of the model • Procedures are available for defining how and when key data should be collected as part of initial production or pressure testing of a well 21