PETR 6326 Applied Reservoir Simulation, University of Houston
PETR 6326Applied Reservoir Simulation
LECTURE 4Data AcquisitionRock Properties
GriddingUpscaling
Assign Project A
PETR 6326 Applied Reservoir Simulation, University of Houston
Data Acquisition
4-1
PETR 6326 Applied Reservoir Simulation, University of Houston
Data Acquisition and Analysis
Simulation Grid
Static Simulation Model
Geologic ModelRock and Fluid Interaction
Fluid Characterization
Data Acquisition and Analysis
PETR 6326 Applied Reservoir Simulation, University of Houston
Data Acquisition and Analysis
Gather and Organize All Pertinent Data
All data needs to be:
Transferred, evaluated, discarded, or kept
Prepared for possible simulation input
Can be a time intensive process
Many data sources and formats
Need for digital data
Problem with delays
4-2
PETR 6326 Applied Reservoir Simulation, University of Houston
Data Acquisition and Analysis
Data Sources
Original Data Sources
Secondary Sources
Analog Data from Similar Fields
PETR 6326 Applied Reservoir Simulation, University of Houston
Data Acquisition and Analysis
Original Data Sources Well Logs
Cores
Seismic Surveys
Well Tests
Fluid Samples
Static Pressures
Well Rates and Pressures
4-3
PETR 6326 Applied Reservoir Simulation, University of Houston
Data Acquisition and Analysis
Secondary Sources (interpreted original data)
Structure Maps
Isopach Maps
Porosity and Permeability Maps or Trends
Fluid Studies
Petrophysical Studies
Previous Simulation Studies
PETR 6326 Applied Reservoir Simulation, University of Houston
Data Acquisition and Analysis
Typical Data Requirements
Geology and Geophysics Data (G&G)
Petrophysical Data
Fluid Data
Development and Depletion History
continued . . .
4-4
PETR 6326 Applied Reservoir Simulation, University of Houston
Data Acquisition and Analysis
Geology and Geophysics Data (G&G) Tops of Structures
Thicknesses
NTG
Faults
Distribution and Trends of Pay and Non-Pay
Pay Continuity and Connectivity
Fluid Contacts
Facies
PETR 6326 Applied Reservoir Simulation, University of Houston
Data Acquisition and Analysis
Petrophysical Data Porosity
Permeability
Saturations
Compressibility
Relative Permeability Functions
Capillary Pressure
4-5
PETR 6326 Applied Reservoir Simulation, University of Houston
Data Acquisition and Analysis
Fluid Data
Standard Fluid Properties
PVT Behavior
Fluid Composition
EOS
PETR 6326 Applied Reservoir Simulation, University of Houston
Development and Depletion HistoryWell Locations / Completed Intervals
Well and Field Rates / Pressures
Stimulation Treatments
Workovers
Facility Limits
Artificial Lift Methods
Data Acquisition and Analysis
4-6
PETR 6326 Applied Reservoir Simulation, University of Houston
Essentially Everything !!
Data Acquisition and Analysis
PETR 6326 Applied Reservoir Simulation, University of Houston
Rock Properties
4-7
PETR 6326 Applied Reservoir Simulation, University of Houston
Rock Model – this is the “packaging” for our fluids. The reservoir rock (or formation) has three
basic properties: Porosity – the void space in which fluids may
reside. Permeability – describes the ability of fluid to
flow through the rock. Compressibility – characterizes the change in
volume with change in pressure.
Elements of Reservoir Simulation
PETR 6326 Applied Reservoir Simulation, University of Houston
Porosity log analysis
core analysis
Permeability core analysis
well testing
Compressibility vol/vol/psi
core analysis
Elements of Reservoir Simulation
4-8
PETR 6326 Applied Reservoir Simulation, University of Houston
Gridding
PETR 6326 Applied Reservoir Simulation, University of Houston
Data Acquisition and Analysis
Simulation Grid
Static Simulation Model
Geologic ModelRock and Fluid Interaction
Fluid Characterization
Grid Construction
4-9
PETR 6326 Applied Reservoir Simulation, University of Houston
Creating Grids
continued . . .
Geological Considerations
Structural & stratigraphic barriers
Petrophysical Considerations
Permeability directionality (anisotropy)
Channeling
Aquifer Considerations Type of Aquifer
Analytical
Numerical
Contiguous
PETR 6326 Applied Reservoir Simulation, University of Houston
Creating Grids
Lease Migration of Hydrocarbons
Mechanism Considerations
Fluid coning
Water drive
Injection operations
Numerical and Technical Concerns
4-10
PETR 6326 Applied Reservoir Simulation, University of Houston
Gridblock Geometry Radial grid system Simple, single well, radial coordinates
Cartesian grid system Full field, block-centered cells
Corner Point grid system Full field, orthogonal & non-orthogonal
Curvilinear grid system Curvilinear grid blocks (special case)
Hybrid grids LGR’s, orthogonal corner point
PEBI (PErpendicular BIsector) grids
PETR 6326 Applied Reservoir Simulation, University of Houston
Radial Grid System
Equations are written in radial coordinates
Used for single well studies
Used for studying wellbore coning
Evaluating near-wellbore effects
4-11
PETR 6326 Applied Reservoir Simulation, University of Houston
Orthogonal Gridblocks
Five Point Formulation Nine Point Formulation
Flow Calculations
*Areal View
PETR 6326 Applied Reservoir Simulation, University of Houston
Orthogonal Gridblocks All corners are perpendicular
Numerically more accurate
Difficult to honor fault alignment and other petrophysical / geological features
x
y
xy
z
4-12
PETR 6326 Applied Reservoir Simulation, University of Houston
Block-Centered Corner Point Coordinates
x, y, z
dx
dy
dz
Orthogonal Grids
*Defined by DX, DY, DZ & TOPS or DEPTH *Defined by COORD & ZCORN
PETR 6326 Applied Reservoir Simulation, University of Houston
Block-Centered Corner Point Coordinates
Orthogonal Grids
4-13
PETR 6326 Applied Reservoir Simulation, University of Houston
Typically non-orthogonal
Non-orthogonal grids are not as numerically accurate
Good for honoring fault alignment
Most effective visual representation
Most widely used grid system today
Corner Point Grid System
PETR 6326 Applied Reservoir Simulation, University of Houston
Top of StructureTop of Structure
Cartesian vs. Corner Point Grid Systems
Block-Centered Corner Point Coordinates
4-14
PETR 6326 Applied Reservoir Simulation, University of Houston
Block-Centered Corner Point Coordinates
Cartesian vs. Corner Point Grid Systems
Adamson, Gordon, et al., “Simulation Throughout the Life of a Reservoir,” Oilfield Review, Summer 1996, pp. 16-27.
PETR 6326 Applied Reservoir Simulation, University of Houston
Corner Point Coordinates
Hybrid Gridblocks
HybridOrthogonal
4-15
PETR 6326 Applied Reservoir Simulation, University of Houston
Hybrid
*LGR(will discuss later)
PETR 6326 Applied Reservoir Simulation, University of Houston
PEBI Grid
provided by Z. Heinemann, A. Harrer and S. Brockhauser, Mining University of Leoben from Adamson, Gordon, et al., “Simulation Throughout the Life of a Reservoir.”
3D PEBI Grid Around A Horizontal Well
Injector
Producer
Perpendicular Bisector (PEBI) Grid
4-16
PETR 6326 Applied Reservoir Simulation, University of Houston
Creating the Areal Grid
Grid Positioning Considerations:
Faults
Fluid flow distribution
Permeability directionality
Lease lines
Well patterns
Structure
Original study objectives
PETR 6326 Applied Reservoir Simulation, University of Houston
Lease Line
Minor Fault
Major Feature:
Sealing Fault
Seismic Limit
Minor Faults
Creating the Areal Grid
4-17
PETR 6326 Applied Reservoir Simulation, University of Houston
Control Lines
Major Fault
Creating the Areal Grid
PETR 6326 Applied Reservoir Simulation, University of Houston
Control Lines
Creating the Areal Grid
4-18
PETR 6326 Applied Reservoir Simulation, University of Houston
Creating the Areal Grid
PETR 6326 Applied Reservoir Simulation, University of Houston
Net Sand Thickness
To represent the net thickness, models may feature:
Variable gross thickness
Variable net-to-gross (NTG) ratio
Variable net thickness
Combination of above
4-19
PETR 6326 Applied Reservoir Simulation, University of Houston
Constant Thickness
Variable Thickness
X-Sectional Thickness
PETR 6326 Applied Reservoir Simulation, University of Houston
Vertical Well
X-Sectional Thickness
Constant Thickness
Variable Thickness
Perforations Below Sand
4-20
PETR 6326 Applied Reservoir Simulation, University of Houston
Well Completions and Log
SCR_012
6,0007,000
TVD-ss, ft.
Well 1
Top
Base
PETR 6326 Applied Reservoir Simulation, University of Houston
Simulation Model Layers
Geophysical Horizons Seismic data in conjunction with geological
data can be used to determine the structure top of a reservoir.
However, seismic horizons may not be definitive enough for dictating reservoir sub-layers.
4-21
PETR 6326 Applied Reservoir Simulation, University of Houston
Simulation Model Layers
Geological / Petrophysical Layers Depositional considerations from permeability
and/or porosity distributions may require barriers.
Stratification may dictate vertical grid segmentation.
Partial completions in stratified environments require special considerations(e.g., more resolution).
PETR 6326 Applied Reservoir Simulation, University of Houston
Simulation Model Layers
Identifying The Shale Markers
Top of Sand
Bottom of Sand
4-22
PETR 6326 Applied Reservoir Simulation, University of Houston
Simulation Model Layers
Creating the Geological Model
PETR 6326 Applied Reservoir Simulation, University of Houston
Simulation Model Layers
Engineering Layers Problems with numerical dispersion may
require additional layering (in lieu of a finer grid) to reduce rapid pressure and saturation changes in adjacent cells (e.g., elongated cells).
Additional layers increase vertical resolution for modeling: Partial completions;
Contact movement; or
Specific effects such as coning
4-23
PETR 6326 Applied Reservoir Simulation, University of Houston
Adding Vertical ResolutionCoarse Grids
Gas Cap
Simulation Model Layers
PETR 6326 Applied Reservoir Simulation, University of Houston
Simulation Model LayersAdding Vertical ResolutionCoarse Grids
Field GOC
4-24
PETR 6326 Applied Reservoir Simulation, University of Houston
Constructing A Model Grid
Define the area of interest
Import the structure and fault maps
Incorporate wellbore trajectories
Define the layers
PETR 6326 Applied Reservoir Simulation, University of Houston
NUEVO NUEVONUEVO
OCS P-0241OCS P-0240
FE
DE
RA
L E
CO
LO
GIC
AL
PR
ES
ER
VE
OCS P-0241
SBC4
SBC8
SBC9
SB11A
SB15
1
1ST
2
3
2
3
A41
A20A20RD
A20RD2
A25
A38
A44
A36
A36ST1A36ST2
A36ST3
A21
A21RD
4
A24
B18
B18RD
B47
B47RD
A3
B30
A22
56
7B13
B13RD
B40
B40RD
8
910
A37
A37RD
A43
B29
B62
B41
B41RD
B43
11
A30
B2
B2RD
12
A4S
A4SRD
A13
A13RD
B15
B42
A4
A12
A12ST1A12ST2
A35
B3
B3RD
B11
B11RD
B38
B44B63
B46 A3SA3SRD
A14
A26
A33
B12
B16B16RD
B17B17RD
B25
B25RD
B45
B45RD
B45RS1
A11
A11RD
A23
A23RD
A42
A55
A55RD
B2S
B3S
B3SRDB3SRD2
B3SR2S
B10
A10
B26
B37
A39
A39RD
A40
B5
B28B52
B53
1A
2A
3A4A
5A
6A
6ARD
7A
A28
A34
A49
A52
B50
B50RD
B54
A5A5RD
A15
A48
A54
B27
B56
B56RD
B57
B57RD
B14
B58
A18
A18RD
A31
A31RD
A45
A45RD
A46
A46RD
A47
A53
8A
9A
11A
12A
13A 14A
15A
21A
27A
B31
B31RD
B36B35
10A
31A
A17
A32
18A
20A
22A
28A
29A
29ARD
30A
35A 37A
46A
39A
17A
36A
40A
B49
23A
24A
42A
43A
45A
26A
41A47A
52A
B22
B1
B1RDB64
B61
B60
A1
16A
48A
B55
B55RD
B48
A27
A8
A9
25A
B8
A7
44A
C28
C15
C41
C57C57ST
C27
C59
C42
C56
C16
C54
C2
C3
C51
C33
C43
C53
C4
C45
C44
C31C46
C14
C55
C60
C5C47
C52
51A
C34
C50
C35
C29
C48
C30
C30ST1C30ST2
C30ST3
C40C40ST1B21
B39B39ST1
B39ST2B39ST3
B39ST4
B9B9ST1
B9ST2
B9ST3
B9ST4
B7
B7ST1
B7ST2B7ST3
B7ST4
B34B34ST1
B34ST2B34ST3B34ST4
B34ST5
B34ST6
53A53AST1
C1
C1ST
54A
DCS2
REF1
REF3
Base Map Showing All Well Trajectories
Platform 1
Platform 2Platform 3
Grid Area Outline
Area of Non-Interest
Simulation Study Area
4-25
PETR 6326 Applied Reservoir Simulation, University of Houston
Base Map Showing Well Trajectories
Grid Area Outline
Area of Non-Interest
Structure Map of 1st Geologic Layer
PETR 6326 Applied Reservoir Simulation, University of Houston
Grid Area: 155 X 55 Cells
Base Map Showing Structure & Well Trajectories
Area of Non-Interest
Simulation Grid Area
4-26
PETR 6326 Applied Reservoir Simulation, University of Houston
X-Direction Cross Section
6 Inactive Layers
7 Active Layers
Faults
PETR 6326 Applied Reservoir Simulation, University of Houston
One Layer Only
3-D Display of Simulation Grid
4-27
PETR 6326 Applied Reservoir Simulation, University of Houston
3-D View of Well Trajectories
PETR 6326 Applied Reservoir Simulation, University of Houston
First Layer with Perforated Well Trajectories
Second Layer with Perforated Well Trajectories
Areal Grid with Trajectories
4-28
PETR 6326 Applied Reservoir Simulation, University of Houston
3-D Display of 7 Engineering Layers
PETR 6326 Applied Reservoir Simulation, University of Houston
Check Final Maps Well locations, fault placement Lease lines, flow boundaries
Check Model Volumetrics After model initialization, check OOIP or OGIP
Compare Well Logs with Model at Well Locations Net pay, perforations, , k, Swc
Revise Geology or Petrophysical Data If warranted and reasonable, make adjustments based on previous
estimates or model results.
Quality Control & Reality Check Check that original maps have been properly represented by the
grid and the model.
Finalizing the Grid
4-29