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Shale & Tight Reservoir Simulation 
Jim Erdle - VP/USA & LA 
OCTOBER 2012
AGENDA 
How CMG’s simulators are being used 
oShale/Tight reservoir modelling features 
oShale/Tight reservoir modelling workflows 
How other simulators are being used 
Shale Operators using CMG’s simulators 
SPE References
CMG’S PRODUCTS 
IMEX – Black Oil reservoir simulator 
GEM – EOS-compositional reservoir simulator 
STARS – Thermal/Reactive-Transport reservoir simulator 
GEOMECH – Geomechanics simulator (GEM & STARS) 
BUILDER – Model creation/editing GUI 
RESULTS – Simulator output display GUI 
WINPROP – PVT modelling 
CMOST – SA, UA, Aided History-Matching & Optimization
MODELLING FEATURES 
PVT 
oBlack Oil treatment (IMEX) 
primary production of dry gas, wet gas, black oil, volatile oil and gas condensate reservoir fluids 
oMulti-component EOS Treatment (GEM) 
Adds ability to model Multi-Component fluids including non-HC gases (e.g. CO2, H2S, acid gas, Flue Gas & N2) for EOR
MODELLING FEATURES 
Single vs Dual Porosity 
oSingle Porosity if no open natural fractures 
oDual Permeability if open natural fractures
MODELLING FEATURES 
Adsorped Components 
oSingle gas component (new in IMEX for 2012) 
oMultiple gas or oil components (GEM)
MODELLING FEATURES 
Diffusion 
oMulti-component molecular diffusion (GEM) 
Competitive with darcy flow in some very low matrix perm situations 
Injection of solvents to aid liquid recovery (e.g. CO2, propane, etc.) 
Sequestration of CO2, acid gas, etc.
MODELLING FEATURES 
Relative Perm & Capillary Pressure 
oIndependent curves for matrix, natural fractures & propped fractures 
Usually straight line for natural & propped fracs 
Matrix can be oil-wet or water-wet (which is it?) 
Can include hysteresis if modelling solvent injection 
Can also include wettability alteration via relative permeability interpolation (new in GEM for 2012)
MODELLING FEATURES 
Compaction/Dilation 
oPressure-dependent Compaction/Dilation tables for modelling degradation of permeability & porosity 
In propped fractures, natural fractures & matrix, including hysteresis for modelling shut-in periods 
oEffective Stress-dependent Compaction/Dilation tables when using GEOMECH (GEM) 
Barton-Bandis approach for modelling of natural fracture perm vs Effective Stress
MODELLING FEATURES 
 Compaction/Dilation 
Unpropped Fracture 
Compaction Table 
0 
0.1 
0.2 
0.3 
0.4 
0.5 
0.6 
0.7 
0.8 
0.9 
1 
1000 1500 2000 2500 3000 3500 4000 
Pressure (psi) 
Conductivity Multiplier 
Propped Fracture 
Compaction Table 
0 
0.1 
0.2 
0.3 
0.4 
0.5 
0.6 
0.7 
0.8 
0.9 
1 
1000 1500 2000 2500 3000 3500 4000 
Pressure (psi) 
Conductivity Multiplier
MODELLING FEATURES 
Initial Fluid Saturations 
oNon-equilibrium initialization of fluids for modelling presence and flowback of frac fluids in propped & natural fractures
MODELLING FEATURES 
Explicit Gridding of Propped Fractures 
oLS-LR-DK (TARTAN) grids to model propped fracs 
oSingle Plane or Complex geometry 
oNon-Darcy flow in propped fracs
MODELLING FEATURES 
Explicit Gridding of Propped Fractures 
Single Plane geometry 
Complex geometry
MODELLING FEATURES 
Explicit Gridding of Propped Fractures 
oAutomatic generation of TARTAN grids (BUILDER) 
oSRV delineation (BUILDER) 
Import & Filtering of Micro Seismic data 
Interactive selection on simulation grid display 
oTARTAN grids can be applied to any parent grid geometry 
Cartesian & Corner Point Grids
MODELLING FEATURES 
Explicit Gridding of Propped Fractures 
Hydraulic Fracture Wizard 
Microseismic Wizard
MODELLING FEATURES 
Time-dependent Propped Fractures 
oTARTAN grids can be added when wells are fracked 
Don’t have to put all grids in place at beginning of run! 
Efficient way to model re-fracs & multi-well models 
oCompaction/Dilation Tables (with Hysteresis) can be time-dependent (coming in Dec 2012)
MODELLING WORKFLOW 
2.Build single well base models 
5.Build multi-well models 
3.Perform SA & AHM on single well models 
4.Forecast EUR for single well models 
6.Perform OPT of multi-well models 
1.Choose CMG simulator with required physics
Base Case Results 
Initial model with assumed values does not match historical production data 
oToo much gas produced 
oNot enough water produced
Sensitivity Analysis using CMOST 
Reservoir parameter uncertainty 
oFracture Permeability 
oFracture Width 
oPressure Dependent Permeability of Fracture (CROCKTAB) 
oLangmuir Adsorption parameters 
oDiffusivity 
oInitial Water Saturation in Fractures (to model water from the HF fluid)
Sensitivity Analysis using CMOST
History Match Error Reduction 
 Objective Function Error Reduced from 55% to 1.4% 
21
History Match – Final Results
History Match – Final Results 
History match error reduction 
oOverall HM error reduced from 55% to 1.4% 
oFinal Gas Rate Match error = 0.70% 
oFinal Water Rate Match error = 2.13% 
Total Calendar Time to complete HM 
oEngineering Time = 10 hours 
oComputing Time = 15 hours (8 concurrent 2-way parallel jobs) 
oTotal calendar time = 25 hours
ANOTHER APPROACH TO GRIDDING 
 Representation of Single-Plane Propped Fractures 
o Some are using Logarithmically Refined grids over entire model in 
both X & Y directions (LS-GR-DK grids) to model single-plane fracs 
Mangum 
0 100 200 300 400 500 600 700 800 900 1,000 1,100 1,200 1,300 1,400 1,500 
0 100 200 300 400 500 600 700 800 900 1,000 1,100 1,200 1,300 1,400 1,500 
100 0 -100 -200 -300 -400 -500 -600 -700 -800 -900 
-800 -700 -600 -500 -400 -300 -200 -100 0 100 200 
0.00 180.00 360.00 feet 
0.00 55.00 110.00 meters 
File: ECLIPSE_Global Grid Refinement.dat 
User: kpatel 
Date: 7/27/12 
Scale: 1:2374 
Y/X: 1.00:1 
Axis Units: ft 
0.1 
0.1 
0.1 
0.1 
0.1 
0.1 
0.1 
0.1 
0.1 
0.1 
0.1 
Porosity 2011-07-24 K layer: 1 
Mangum 
-100 0 100 200 300 400 500 600 700 800 900 1,000 1,100 1,200 1,300 1,400 1,500 
-100 0 100 200 300 400 500 600 700 800 900 1,000 1,100 1,200 1,300 1,400 1,500 
200 100 0 -100 -200 -300 -400 -500 -600 -700 -800 -900 
-900 -800 -700 -600 -500 -400 -300 -200 -100 0 200 
0.00 195.00 390.00 feet 
0.00 60.00 120.00 meters 
File: CMG_Local Grid Refinement.dat 
User: kpatel 
Date: 7/27/12 
Scale: 1:2480 
Y/X: 1.00:1 
Axis Units: ft 
0.1 
0.1 
0.1 
0.1 
0.1 
0.1 
0.1 
0.1 
0.1 
0.1 
0.1 
Porosity 2011-07-24 K layer: 1 
Global Logarithmic Grids CMG’s TARTAN Grids
ANOTHER APPROACH TO GRIDDING 
TARTAN grids = Same Results in 1/10 the time!
ANOTHER APPROACH TO GRIDDING 
TARTAN grids = Same Results in 1/10 the time!
ANOTHER APPROACH TO GRIDDING 
 TARTAN grids = Same Results in 1/10 the time! 
0 
1000 
2000 
3000 
4000 
5000 
6000 
0 2000 4000 6000 8000 10000 12000 
Pressure 
Time 
Mangum 
400 500 600 700 800 900 1,000 
400 500 600 700 800 900 1,000 
-200 -300 -400 -500 -600 
-600 -500 -400 -300 -200 
0.00 75.00 150.00 feet 
0.00 25.00 50.00 meters 
File: cmg_local grid refinement.irf 
User: kpatel 
Date: 7/27/12 
Scale: 1:1148 
Y/X: 1.00:1 
Axis Units: ft 
791 
1,193 
1,596 
1,998 
2,401 
2,803 
3,205 
3,608 
4,010 
4,413 
4,815 
Pressure (psi) 2039-11-24 K layer: 1 
Pressure 40 ft from propped frac is the same!
USING CMG FOR SHALE/TIGHT RESERVOIRS 
•Anadarko 
•Apache 
•BG Group 
•BHP Billiton 
•BP 
•Chesapeake 
•Chevron 
•Devon 
•Encana 
•EOG 
•ExxonMobil 
•Marathon 
•Matador 
•Noble Energy 
•Reliance 
•Rosetta Resources 
•Samson 
•Shell 
•Statoil 
•Talisman 
•Total 
•Venoco 
•Vitruvian 
•XTO
SPE REFERENCES 
CSUG/SPE 148710-PP “Shale Gas Modeling Workflow: From Microseismic to Simulation – A Horn River Case Study” 
oJoint paper with CMG and NEXEN 
IPTC-14940 “Evaluation in Data Rich Fayatteville Shale Gas Plays – Integrating Physics-based Reservoir Simulations with Data Driven Approaches for Uncertainty Reduction” 
oby Yitian Xiao et al (ExxonMobil) presented at 2012 IPTC Bangkok
SPE REFERENCES 
SPE 147596 “Shale Oil Production Performance from a Stimulated Reservoir Volume” 
oby A.S. Chaudhary, C. Economides & R. Wattenbarger (TAMU) presented at 2011 ATCE - Denver 
SPE 146975 “Heat Transfer Applications for the Stimulated Reservoir Volume” 
oby S. Thoram & C. Economides (TAMU) presented at 2011 ATCE - Denver
SPE REFERENCES 
SPE 132093 “Accurate Simulation of Non-Darcy Flow in Stimulated Fractured Shale Gas Reservoirs” 
oby B. Rubin (CMG) presented at 2010 WRM – Anahiem
Thank you! 
Any Questions?

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Shale & tight reservoir simulation cmg

  • 1. Shale & Tight Reservoir Simulation Jim Erdle - VP/USA & LA OCTOBER 2012
  • 2. AGENDA How CMG’s simulators are being used oShale/Tight reservoir modelling features oShale/Tight reservoir modelling workflows How other simulators are being used Shale Operators using CMG’s simulators SPE References
  • 3. CMG’S PRODUCTS IMEX – Black Oil reservoir simulator GEM – EOS-compositional reservoir simulator STARS – Thermal/Reactive-Transport reservoir simulator GEOMECH – Geomechanics simulator (GEM & STARS) BUILDER – Model creation/editing GUI RESULTS – Simulator output display GUI WINPROP – PVT modelling CMOST – SA, UA, Aided History-Matching & Optimization
  • 4. MODELLING FEATURES PVT oBlack Oil treatment (IMEX) primary production of dry gas, wet gas, black oil, volatile oil and gas condensate reservoir fluids oMulti-component EOS Treatment (GEM) Adds ability to model Multi-Component fluids including non-HC gases (e.g. CO2, H2S, acid gas, Flue Gas & N2) for EOR
  • 5. MODELLING FEATURES Single vs Dual Porosity oSingle Porosity if no open natural fractures oDual Permeability if open natural fractures
  • 6. MODELLING FEATURES Adsorped Components oSingle gas component (new in IMEX for 2012) oMultiple gas or oil components (GEM)
  • 7. MODELLING FEATURES Diffusion oMulti-component molecular diffusion (GEM) Competitive with darcy flow in some very low matrix perm situations Injection of solvents to aid liquid recovery (e.g. CO2, propane, etc.) Sequestration of CO2, acid gas, etc.
  • 8. MODELLING FEATURES Relative Perm & Capillary Pressure oIndependent curves for matrix, natural fractures & propped fractures Usually straight line for natural & propped fracs Matrix can be oil-wet or water-wet (which is it?) Can include hysteresis if modelling solvent injection Can also include wettability alteration via relative permeability interpolation (new in GEM for 2012)
  • 9. MODELLING FEATURES Compaction/Dilation oPressure-dependent Compaction/Dilation tables for modelling degradation of permeability & porosity In propped fractures, natural fractures & matrix, including hysteresis for modelling shut-in periods oEffective Stress-dependent Compaction/Dilation tables when using GEOMECH (GEM) Barton-Bandis approach for modelling of natural fracture perm vs Effective Stress
  • 10. MODELLING FEATURES  Compaction/Dilation Unpropped Fracture Compaction Table 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1000 1500 2000 2500 3000 3500 4000 Pressure (psi) Conductivity Multiplier Propped Fracture Compaction Table 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1000 1500 2000 2500 3000 3500 4000 Pressure (psi) Conductivity Multiplier
  • 11. MODELLING FEATURES Initial Fluid Saturations oNon-equilibrium initialization of fluids for modelling presence and flowback of frac fluids in propped & natural fractures
  • 12. MODELLING FEATURES Explicit Gridding of Propped Fractures oLS-LR-DK (TARTAN) grids to model propped fracs oSingle Plane or Complex geometry oNon-Darcy flow in propped fracs
  • 13. MODELLING FEATURES Explicit Gridding of Propped Fractures Single Plane geometry Complex geometry
  • 14. MODELLING FEATURES Explicit Gridding of Propped Fractures oAutomatic generation of TARTAN grids (BUILDER) oSRV delineation (BUILDER) Import & Filtering of Micro Seismic data Interactive selection on simulation grid display oTARTAN grids can be applied to any parent grid geometry Cartesian & Corner Point Grids
  • 15. MODELLING FEATURES Explicit Gridding of Propped Fractures Hydraulic Fracture Wizard Microseismic Wizard
  • 16. MODELLING FEATURES Time-dependent Propped Fractures oTARTAN grids can be added when wells are fracked Don’t have to put all grids in place at beginning of run! Efficient way to model re-fracs & multi-well models oCompaction/Dilation Tables (with Hysteresis) can be time-dependent (coming in Dec 2012)
  • 17. MODELLING WORKFLOW 2.Build single well base models 5.Build multi-well models 3.Perform SA & AHM on single well models 4.Forecast EUR for single well models 6.Perform OPT of multi-well models 1.Choose CMG simulator with required physics
  • 18. Base Case Results Initial model with assumed values does not match historical production data oToo much gas produced oNot enough water produced
  • 19. Sensitivity Analysis using CMOST Reservoir parameter uncertainty oFracture Permeability oFracture Width oPressure Dependent Permeability of Fracture (CROCKTAB) oLangmuir Adsorption parameters oDiffusivity oInitial Water Saturation in Fractures (to model water from the HF fluid)
  • 21. History Match Error Reduction  Objective Function Error Reduced from 55% to 1.4% 21
  • 22. History Match – Final Results
  • 23. History Match – Final Results History match error reduction oOverall HM error reduced from 55% to 1.4% oFinal Gas Rate Match error = 0.70% oFinal Water Rate Match error = 2.13% Total Calendar Time to complete HM oEngineering Time = 10 hours oComputing Time = 15 hours (8 concurrent 2-way parallel jobs) oTotal calendar time = 25 hours
  • 24. ANOTHER APPROACH TO GRIDDING  Representation of Single-Plane Propped Fractures o Some are using Logarithmically Refined grids over entire model in both X & Y directions (LS-GR-DK grids) to model single-plane fracs Mangum 0 100 200 300 400 500 600 700 800 900 1,000 1,100 1,200 1,300 1,400 1,500 0 100 200 300 400 500 600 700 800 900 1,000 1,100 1,200 1,300 1,400 1,500 100 0 -100 -200 -300 -400 -500 -600 -700 -800 -900 -800 -700 -600 -500 -400 -300 -200 -100 0 100 200 0.00 180.00 360.00 feet 0.00 55.00 110.00 meters File: ECLIPSE_Global Grid Refinement.dat User: kpatel Date: 7/27/12 Scale: 1:2374 Y/X: 1.00:1 Axis Units: ft 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 Porosity 2011-07-24 K layer: 1 Mangum -100 0 100 200 300 400 500 600 700 800 900 1,000 1,100 1,200 1,300 1,400 1,500 -100 0 100 200 300 400 500 600 700 800 900 1,000 1,100 1,200 1,300 1,400 1,500 200 100 0 -100 -200 -300 -400 -500 -600 -700 -800 -900 -900 -800 -700 -600 -500 -400 -300 -200 -100 0 200 0.00 195.00 390.00 feet 0.00 60.00 120.00 meters File: CMG_Local Grid Refinement.dat User: kpatel Date: 7/27/12 Scale: 1:2480 Y/X: 1.00:1 Axis Units: ft 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 Porosity 2011-07-24 K layer: 1 Global Logarithmic Grids CMG’s TARTAN Grids
  • 25. ANOTHER APPROACH TO GRIDDING TARTAN grids = Same Results in 1/10 the time!
  • 26. ANOTHER APPROACH TO GRIDDING TARTAN grids = Same Results in 1/10 the time!
  • 27. ANOTHER APPROACH TO GRIDDING  TARTAN grids = Same Results in 1/10 the time! 0 1000 2000 3000 4000 5000 6000 0 2000 4000 6000 8000 10000 12000 Pressure Time Mangum 400 500 600 700 800 900 1,000 400 500 600 700 800 900 1,000 -200 -300 -400 -500 -600 -600 -500 -400 -300 -200 0.00 75.00 150.00 feet 0.00 25.00 50.00 meters File: cmg_local grid refinement.irf User: kpatel Date: 7/27/12 Scale: 1:1148 Y/X: 1.00:1 Axis Units: ft 791 1,193 1,596 1,998 2,401 2,803 3,205 3,608 4,010 4,413 4,815 Pressure (psi) 2039-11-24 K layer: 1 Pressure 40 ft from propped frac is the same!
  • 28. USING CMG FOR SHALE/TIGHT RESERVOIRS •Anadarko •Apache •BG Group •BHP Billiton •BP •Chesapeake •Chevron •Devon •Encana •EOG •ExxonMobil •Marathon •Matador •Noble Energy •Reliance •Rosetta Resources •Samson •Shell •Statoil •Talisman •Total •Venoco •Vitruvian •XTO
  • 29. SPE REFERENCES CSUG/SPE 148710-PP “Shale Gas Modeling Workflow: From Microseismic to Simulation – A Horn River Case Study” oJoint paper with CMG and NEXEN IPTC-14940 “Evaluation in Data Rich Fayatteville Shale Gas Plays – Integrating Physics-based Reservoir Simulations with Data Driven Approaches for Uncertainty Reduction” oby Yitian Xiao et al (ExxonMobil) presented at 2012 IPTC Bangkok
  • 30. SPE REFERENCES SPE 147596 “Shale Oil Production Performance from a Stimulated Reservoir Volume” oby A.S. Chaudhary, C. Economides & R. Wattenbarger (TAMU) presented at 2011 ATCE - Denver SPE 146975 “Heat Transfer Applications for the Stimulated Reservoir Volume” oby S. Thoram & C. Economides (TAMU) presented at 2011 ATCE - Denver
  • 31. SPE REFERENCES SPE 132093 “Accurate Simulation of Non-Darcy Flow in Stimulated Fractured Shale Gas Reservoirs” oby B. Rubin (CMG) presented at 2010 WRM – Anahiem
  • 32. Thank you! Any Questions?