Apresentação de Victor Manuel Salazar Araque, da Computer Modelling Group, durante o evento promovido pelo Sistema FIEB, Fundamentos da Exploração e Produção de Não Convencionais: a Experiência Canadense.
2. Agenda
1. CMG products
2. Unconventional Reservoir Modelling Physics
3. Using CMG’s Reservoir Simulation products
to Determine EUR from Limited Data
4. Using CMG’s Reservoir Simulation products
to Optimize Well Completion Design & Well
Spacing
5. SPE Unconventional Reservoir papers that
feature the use of CMG’s Reservoir
Simulation products
3. CMG Software Products
Superior physics
EOR advanced processes leader (+95%)
Project Manager
LAUNCHER
Reservoir Numerical Simulators
Black Oil/Condensate simulator
GEM
Equation of State Compositional
Simulator
STARS
Pre & Post Processors
IMEX
K value compositional, thermal,
chemical, geomechanical simulator
BUILDER
RESULTS 3D
RESULTS GRAPH
RESULTS REPORT
Converter
ECL 100 IMPORT ASSISTANT
Assisted history match, Optimization,
Sensitivity and Uncertainty analysis
CMOST
Phase behavior, PVT modelling
WINPROP
7. Microseismic Results
Possible trend visible
in blue stage
Possible interaction with
pre-existing fractures?
Trend visible in red stage
Shmax direction?
In-situ stress will
influence dominant
hydraulic fracture
orientations
Williams-Stroud, Microseismic, 2008
8. Propped Frac Gridding is EASY
BUILDER can create LS-LR-DK
(tartan) grids around fractures
automatically
Single Plane Geometry
Complex Geometry
9. Varying Propped Frac Properties & SRV
Size with CMOST is EASY
Propped Frac Properties
Half-length, Width, Perm, Spacing,
Height & Perm Gradient
Stimulated Natural Frac Properties:
Width, Perm
SRV Size & Shape
# MS events per gridblock
MS Moment Magnitude
MS Confidence Value
Etc.
11. 3 key Questions about
Unconventional Reservoirs
1. How can I determine the EUR with
limited data?
2. What is the Optimum Well
Completion Design?
3. What is the Optimum Well
Spacing?
12. Physics-based EUR Calculation
1. Choose CMG simulator
with required physics
Engineer builds base model, decides which parameters
to allow CMOST to vary, and CMOST does the rest
2. Build base model
3. Perform SA & AHM
4. Forecast EUR using
best HM models
13. Physics-based EUR Calculation
• 4000 ft Eagle Ford “Oil Window” well
•
41-stage frac job pumped
• 7 months of production (222 days)
•
Oil, gas & water rates, and flowing BHP
measured daily
• Task: Determine Oil & Gas EURs
• Solution: Match 7 months of history &
Forecast 30 years of future production
14. Physics-based EUR Calculation
Known Reservoir, Well & Fluid Properties
Property
Value
Unit
Depth at top of reservoir
Reservoir thickness
Initial Reservoir Pressure
Initial Reservoir Temperature
Oil Bubble Point Pressure
Oil Gravity
Initial Solution GOR
Lateral Length
Number of Frac Stages Pumped
10,800
150
8,100
270
3010
43
950
4000
10
feet
feet
psi
F
psi
API
scf/stb
feet
15. Physics-based EUR Calculation
Ranges for uncertain reservoir & frac properties
Property
Min
Value
Max
Value
Unit
Matrix Porosity
Matrix Permeability
Natural Fracture Effective Porosity
Natural Fracture Effective Permeability
Natural Fracture Areal Spacing
Propped Fracture Spacing
Propped Fracture Half-Length
Propped Fracture Permeability
Swi in Propped & Natural Fractures
0.04
10
0.0006
40
50
100
50
1
0.15
0.10
1000
0.0006
40
50
400
400
30
0.45
fraction
nD
fraction
nD
feet
feet
feet
D
fraction
16. Physics-based EUR Calculation
Krel, Pc & PV Compaction Assumptions
Property
Matrix Krel
Natural Fracture Krel
Propped Fracture Krel
Matrix Pc
Natural Fracture Pc
Propped Fracture Pc
Matrix PV Compaction
Natural Fracture PV Compaction
Propped Fracture PV Compaction
Assumptions
Corey Functions are sufficient
Straight Line behavior
Straight Line behavior
Can ignore during primary depletion
Zero
Zero
Constant Compressibility
Constant Compressibility
Changes with Pressure
30. Physics-based EUR Calculation
30-yr Oil EUR using 15 best HM models
Maximum
Minimum
Average
Median
Std Dev
Oil EUR (stb)
724,059
571,847
654,125
649,323
45,162
31. Physics-based EUR Calculation
30-yr Gas EUR using 15 best HM models
Maximum
Minimum
Average
Median
Std Dev
Gas EUR (MMscf)
981
851
926
922
44
32. Time to do Physics-based EUR
Task
ENGINEER’s time
100 CMOST SA runs*
446 CMOST AHM runs*
15 x 30-year forecast runs**
TOTAL COMPUTE Time
Time
(hr)
8
2.8
8.5
0.6
11.9
Time/Run
(min)
1.7
1.1
2.5
-
* 4 simultaneous 4-way parallel IMEX runs on a Dell Precision T5600
** Sequential 16-way parallel IMEX runs on a Dell Precision T5600
33. Physics-based Well Optimization
1. Choose CMG simulator
with required physics
Engineer builds base model, decides which parameters
to allow CMOST to vary, and CMOST does the rest
2. Build base model
3. Perform SA
4. OPT Completion Design
5. OPT Well Spacing
34. Physics-based Well Optimization
Assumed Reservoir, Well & Fluid Properties
Property
Natural Fracture Relative Permeability
Propped Fracture Relative Permeability
Matrix Capillary Pressure
Natural Fracture Capillary Pressure
Propped Fracture Capillary Pressure
Matrix Pore Volume Compaction
Natural Fracture PV Compaction
Propped Fracture PV Compaction
Data
Straight Line data from EUR calc.
Straight Line data from EUR calc.
Assumed to be zero
Assumed to be zero
Assumed to be zero
Constant
Constant
“ctype4.inc” from EUR calc.
35. Physics-based Well Optimization
Assumed Economic Parameters
Economic
Parameter
Oil Price
Gas Price
Well Drilling Cost
Frac Cost
Forecast Period
Value
100
3
3,000,000
250,000
30
Unit
$US/bbl
$US/Mscf
$US/well
$US/Stage
years
36. Physics-based Well Optimization
Proposed Well Completion/Spacing Options
Property
Proposed Well Spacing
Proposed Well Lateral Length
Min
Value
Max
Value
128
640
(5 wells) (1 well)
4000
4000
Unit
acres
feet
Proposed Propped Fracture Spacing
200
800
feet
Proposed Propped Fracture Half-Length
50
400
feet
Proposed Propped Fracture Permeability
1
20
D
42. Time to do Physics-based
Well Completion & Spacing
Optimization
Task
ENGINEER’s time
Time (hr)
8.0
Time/Run
(min)
-
55 CMOST OPT runs*
5 IMEX 30-year Forecast runs**
TOTAL COMPUTE Time
2.2
0.85
3.05
1.9
10.2
-
* 4 simultaneous 4-way parallel IMEX runs on a Dell Precision T5600
** 5 Sequential 16-way parallel IMEX runs on a Dell Precision T5600
43. SPE References
Used GEM to model DFITs and concluded:
• Greatly enhances our ability to efficiently design DFIT's for tight shale reservoirs
• Shows the validity of the Nolte analysis technique for tight rocks and provides guidelines for the shut-in
time duration required to generate a reasonable estimate of reservoir properties from DFIT pressure
response
• Shows that geomechanics-coupled reservoir flow simulation of DFITs can provide estimates of fracture
dimensions that compare reasonably with those from more traditional fracture design tools
• Demonstrate that geomechanics-coupled reservoir flow simulation provides an additiona advantage over
traditional fracture design tools in that is can numerically model the system response even after fracture
closure
• Shows significant fracture tip extension, both vertically and horizontally, for a significant period after the
end of the shut-in period
44. SPE References
SPE 166279
Estimation of Effective Fracture Volume Using Water
Flowback and Production Data for Shale Gas Wells
Ahmad Alhkough (TAMU), Steve McKetta (Southwestern Energy) and Robert
Wattenbarger (TAMU)
Used IMEX to model water flowback and long-term production, and
concluded:
• Used to simulate production of gas and water from a shale gas
well
• Water production analysis can provide effective fracture volume
estimates, which were confirmed by cumulative water produced,
which in turn can evaluate fracture-stimulation treatments.
• Water production analysis can show the pitfalls of ignoring
flowback data (i.e. in some cases the time-shift on diagnostic plots
changes the apparent flow regime indentification of the early gas
production data, as well as water production data, which leads to
different (incorrect) interpretation of the fracture/matrix system.
45. SPE References
URTeC 1575448
Marcellus Well Spacing Optimization – Pilot
Data Integration and Dynamic Modeling Study
Deniz Cakici, Chris Dick, Abhijit Mookerjee, Shell Exploration &
Production; Ben Stephenson, Shell Canada
Used GEM & CMOST to Match production history
46. 36 E&P Companies are using CMG for
Unconventional Reservoir Modelling
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Anadarko
Apache
BG Group
BHP Billiton
Birchcliff
Bonterra
BP
Chesapeake
Chevron
Devon
Encana
Enerplus
•
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EOG
ExxonMobil
Harvest
Marathon
Matador
Nexen
Noble Energy
PennWest
Perpetual
Petrobakken
Reliance
Rosetta
Resources
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Samson
Sasol
Seven Generations
Shell
Sinopec Daylight
Southwestern Energy
Statoil
Talisman
Taqa North
Total
Vitruvian
XTO
“Physics-based”
EUR & Well Optimization
in hours
using CMG software
47. VISION:
To be the Leading Developer and Supplier of
Dynamic Reservoir Technologies in the World
info@cmgl.ca
www.cmgl.ca
Editor's Notes
Welcome, my name KP,a support engineer in Houston office and I have been with CMG for 6 years. The title of our presentation today is Shale Gas/Liquid reservoir simulation. Whenever any body asks me, Why CMG, I point out three of our greatest strengths, The Physics, we actually model the physics, we do not try and use tricks to get around hard problems; Ease of Use, and our demonstration today will illustrate our user friendliness; and our Technical Support, all we do is dynamic reservoir modeling and we are very passionate and focused on our technology and enabling our customers use of that technology.
Before, changes in fracture conductivity required a formula in Builder.Now, you may specify the fracture conductivity at the origin (center), and at the tips in Builder, and these may be selected as CMOST parameters .Picture micro-seismic data. Each color represents a different fracture stage.The round dots, which vary in size, represent the micro-seismic amplitude.Before MS generated SRV could be filtered manually in Builder.Now, this filtering can be done automatically with CMOST.
Before, changes in fracture conductivity required a formula in Builder.Now, you may specify the fracture conductivity at the origin (center), and at the tips in Builder, and these may be selected as CMOST parameters .Picture micro-seismic data. Each color represents a different fracture stage.The round dots, which vary in size, represent the micro-seismic amplitude.Before MS generated SRV could be filtered manually in Builder.Now, this filtering can be done automatically with CMOST.
Before, changes in fracture conductivity required a formula in Builder.Now, you may specify the fracture conductivity at the origin (center), and at the tips in Builder, and these may be selected as CMOST parameters .Picture micro-seismic data. Each color represents a different fracture stage.The round dots, which vary in size, represent the micro-seismic amplitude.Before MS generated SRV could be filtered manually in Builder.Now, this filtering can be done automatically with CMOST.
With the new Automated Work Flow, the HF Wizard in Builder can be directly tied to CMOST for assisting with:SAHMOptimization
With the new Automated Work Flow, the HF Wizard in Builder can be directly tied to CMOST for assisting with:SAHMOptimization
With the new Automated Work Flow, the HF Wizard in Builder can be directly tied to CMOST for assisting with:SAHMOptimization
Matrix_Perm: Matrix PermeabilityMatrix_Poro: Matrix Porosity SW_Nat_Frac: Water Saturation in Natural native fractureXF: Fracture Half LengthPropped_Frac_Perm: Permeability of Hydraulically fracture blockPropped_Frac_Spacing: Spacing between the propped hydraulic fractureSW_Propped: Water saturation in Hydraulically propped blockRock_Compaction: Compaction table
Matrix_Perm: Matrix PermeabilityMatrix_Poro: Matrix Porosity SW_Nat_Frac: Water Saturation in Natural native fractureXF: Fracture Half LengthPropped_Frac_Perm: Permeability of Hydraulically fracture blockPropped_Frac_Spacing: Spacing between the propped hydraulic fractureSW_Propped: Water saturation in Hydraulically propped blockRock_Compaction: Compaction table
Matrix_Perm: Matrix PermeabilityMatrix_Poro: Matrix Porosity SW_Nat_Frac: Water Saturation in Natural native fractureXF: Fracture Half LengthPropped_Frac_Perm: Permeability of Hydraulically fracture blockPropped_Frac_Spacing: Spacing between the propped hydraulic fractureSW_Propped: Water saturation in Hydraulically propped blockRock_Compaction: Compaction table
Matrix_Perm: Matrix PermeabilityMatrix_Poro: Matrix Porosity SW_Nat_Frac: Water Saturation in Natural native fractureXF: Fracture Half LengthPropped_Frac_Perm: Permeability of Hydraulically fracture blockPropped_Frac_Spacing: Spacing between the propped hydraulic fractureSW_Propped: Water saturation in Hydraulically propped blockRock_Compaction: Compaction table
Matrix_Perm: Matrix PermeabilityMatrix_Poro: Matrix Porosity SW_Nat_Frac: Water Saturation in Natural native fractureXF: Fracture Half LengthPropped_Frac_Perm: Permeability of Hydraulically fracture blockPropped_Frac_Spacing: Spacing between the propped hydraulic fractureSW_Propped: Water saturation in Hydraulically propped blockRock_Compaction: Compaction table
Matrix_Perm: Matrix PermeabilityMatrix_Poro: Matrix Porosity SW_Nat_Frac: Water Saturation in Natural native fractureXF: Fracture Half LengthPropped_Frac_Perm: Permeability of Hydraulically fracture blockPropped_Frac_Spacing: Spacing between the propped hydraulic fractureSW_Propped: Water saturation in Hydraulically propped blockRock_Compaction: Compaction table
Matrix_Perm: Matrix PermeabilityMatrix_Poro: Matrix Porosity SW_Nat_Frac: Water Saturation in Natural native fractureXF: Fracture Half LengthPropped_Frac_Perm: Permeability of Hydraulically fracture blockPropped_Frac_Spacing: Spacing between the propped hydraulic fractureSW_Propped: Water saturation in Hydraulically propped blockRock_Compaction: Compaction table
Matrix_Perm: Matrix PermeabilityMatrix_Poro: Matrix Porosity SW_Nat_Frac: Water Saturation in Natural native fractureXF: Fracture Half LengthPropped_Frac_Perm: Permeability of Hydraulically fracture blockPropped_Frac_Spacing: Spacing between the propped hydraulic fractureSW_Propped: Water saturation in Hydraulically propped blockRock_Compaction: Compaction table
Logarithmic Plot as a function of pressure
With the new Automated Work Flow, the HF Wizard in Builder can be directly tied to CMOST for assisting with:SAHMOptimization