Reservoir Engineering Overview Presented by: Aung Myat Kyaw Reservoir Engineer MPRL E&P Pte, Ltd. Myanmar Engineering Society 20-Dec-2008
Nov 14, 2014
Reservoir Engineering Overview
Presented by: Aung Myat Kyaw Reservoir
Engineer MPRL E&P
Pte, Ltd.
Myanmar Engineering Society20-Dec-2008
2
Overview Objectives
Introduction to reservoir management and it’s benefits
Introduction to reservoir simulation and it’s benefits
Introduction to reserve estimation and it’s benefits
3
Reservoir Management - Definition
The use of available resources (human, technological and financial) to maximize profits from a reservoir by optimizing recovery while minimizing capital investments and operating expenses(*)
(*)“Integrated Reservoir Management” by Abdus Satter, SPE, James E. Varnon, SPE and Muu T. Hoang, SPE, Texaco Inc., SPE 22350 JPT, December 1994
4
Reservoir Management Approach
1. Timing
2. Integration of Geoscience and Engineering
3. Reservoir Management Process
4. Establishing Purpose of Strategy
5. Developing a Plan
5
Reservoir Management Approach
1. TimingThe ideal time to start managing a reservoir is at discovery. However it is never too late to initiate a well-thought-out, coordinated reservoir management program. An early start not only produces better overall project planning, implementation, monitoring, and evaluation but also saves money in the long run, maximising the profits.
6
Reservoir Management Approach
2. Integration of Geoscience and EngineeringSynergy and team concepts are the essential elements for integration of geoscience and engineering. Integration involves people, technology, tools and data.
Its success depends on the following An overall understanding of the reservoir
management process, technology and tools through integrated training and integrated job assignments.
Openness, flexibility, communication and coordination
Working as a team Persistence
7
Reservoir Management Approach
3. Reservoir Management Process
Reservoir Management Approach4. Establishing Purpose of Strategy
a. Reservoir Characteristics
b. Total Environmenti. Corporate – goals, financial strength, culture
and attitude.ii. Economic – business climate, oil/gas price,
inflation, capital, and personnel availability.iii. Social - conservation, safety and
environmental regulations.
c. Technology and Technological Toolbox
8
Reservoir Management Approach
5. Developing a Plan
9
10
Integration for Effective Reservoir Management
11
Standard Technology and Technological Toolbox
12
It is becoming more recognized that reservoir management is not synonymous with reservoir engineering and/or reservoir geology. Success requires multidisciplinary, integrated team efforts. The players are everyone who has anything to do with the reservoir.
Legal
Land
Environment
Service
Research &Development
Gas andChemical
Engineering
Production &Operation
Engineering
Design &ConstructionEngineering
DrillingEngineering
Economics
ReservoirEngineering
Geology &Geophysics
Management
ReservoirManagement
Team
Legal
Land
Environment
Service
Research &Development
Gas andChemical
Engineering
Production &Operation
Engineering
Design &ConstructionEngineering
DrillingEngineering
Economics
ReservoirEngineering
Geology &Geophysics
Management
ReservoirManagement
Team
Conclusion For Reservoir Management
13
Reservoir Simulation
As applied to petroleum reservoirs, simulation can be stated as:
The process of mimicking or inferring the behavior of fluid flow in a
petroleum reservoir system through the use of either
physical or mathematical models.
14
As used here, the words petroleum reservoir
system include the reservoir
rockand fluids, aquifer, and
the surface and subsurface
facilities.
Reservoir Simulation
15
MODELING METHODS
• Any problem is solvable if you can make assumptions- the key is determining the right assumptions.
16
Decline Curve Material Balance Numerical SimulationField Measurements
Well Pressures * *Oil, Water, Gas Prodution * * *Production Logs *Well Tests *
Reservoir Description
Geometry *Petrophysical Properties *OWC's, GOC's *
Lab Measurements
PVT Properties * *Relative Permeability * *Capillary Pressure * *
Well Descriptions
Location *Completion Interval *Completion Changes *Stimulations *
DATA CONSIDERED BY MODELING METHOD
17
Key Steps in a Simulation Study
1. Clear Objectives and Pre-planning
2. Reservoir Characterization
3. Model Selection
4. Model Construction
5. Model Validation
6. Predictions
7. Documentation
18
Geology Data Quality & Quantity
Scale-Up Mathematical
•Objective of the study•Assess uncertainties•Data requirements and availability•Modeling approach•Limitations of proposed procedures•Resources
Project budget Time available Hardware Software.
Pre-planning the reservoir simulation study
SOURCES OF UNCERTAINTY IN SIMULATION
19
Reservoir Characterization
20
Geological Description
*Geological description must identify the key factors which affect flow through the reservoir.
21
Fluid Characterization
Liquid
Gas
Pressure
Volume
Bubblepoint
FIRST BUBBLE
OF GASLAST DROP
OF LIQUID
Dew point
Fluid characterization defines the physical properties of the reservoir fluid mixture, and how they vary with changes in pressure, temperature and volume.
Steps to characterize the reservoir fluids:• Classify the fluid type• Determine reservoir fluid properties• Describe reservoir production mechanisms.
22
23
h1-h2
h1
h2(Sand Pack Length) L
q
A
q
A
WATER
WATERWATER
Air Oil
SOLID (ROCK)
WATER
OIL
< 90
SOLID (ROCK)
WATER
OIL
Petrophysical Model
0.4
0
0.2
40 6020 80
Water Saturation (% PV)
Re
lati
ve P
erm
ea
bil
ity,
Fra
cti
on
1.0
0.6
0.8
Water
Oil
The petrophysical model defines where the volumes of oil, water and gas are locatedin the reservoir, as well as how fluids behave in the presence of the rock.To define the petrophysical model of the reservoir, you must determine:
• Rock Wettability• Capillary Pressure• Relative Permeability• Residual Oil Saturation• Fluid Contacts
24
25
Model Selection
•The Black Oil Models (Primary depletion, secondary recovery and immiscible gas injection)
•The Compositional Models(CO2 flooding, gas injection into near critical reservoir, conden- sate reservoirs)
•The Chemical Flood Models ( Polymer/surfactant/Low-tension polymer flooding/Alkali/ Foam flooding)
•Thermal Models (Steam soaks/drive, In situ combustion)
•Dual-Porosity Models of Fractured Systems
•Coupled Hydraulic, Thermal Fracturing and Fluid Flow Models
26
Model Selection
27
Constructing the Reservoir Model
QC the geologic model for errors and problems
Scale-up the model
28
Constructing the Reservoir Model
Zoning the geological model
Layering the zone
Making Local Grid Refinement
Model the attached aquifer to reservoir
Model the faults
Model the Wells and Adding the Wells data
29
Model Validation
30
Predictions
Important considerations when making reservoir model predictions:
Prediction cases shouldn’t exceed capabilities of the model.
Predictions need to be consistent with field practices.
Simulation yields a non-unique solution with inherent uncertainties from:
Lack of validation (e.g., reservoirs with sparse geologic or engineering data). Modeling or mathematical constraints because of compromises made in model selection. Inherent uncertainties in reservoir characterization and /or scale up to model dimensions.
31
32
Documentation
Technical memorandum
Formal report
Presentation
Store data files
Share lessons learned with future project teams
33
Reserves Estimations
• Reserves Estimations Rely on Integrity, Skill, and Judgment of Evaluator
• Reserves Estimations Are Affected by Geological Complexity, Stage of Development, Degree of Depletion of Reservoirs and Amount of Available Data
• All Reserve Estimates Involve Some Degree of Uncertainty and Is Done Under Conditions of Uncertainty
• Uncertainty Depends Mainly on Amount of Reliable Geologic & Engineering Data at Time of Estimate and Interpretation of These Data
• Reserves Estimates Will Generally Be Revised as Additional Geologic or Engineering Data Becomes Available or as Economic Conditions Change
34
Resources
DiscoveredResources
Or Initial
Volume in Place
Initial Reserves
Unrecoverable
Volumes
* Currently Uneconomic Volumes* Residual
Unrecoverable Volumes
UndiscoveredResources
OrFuture initial
Volumes inPlace
FutureInitial
Reserves
FutureUnrecoverable
Volumes
35
Initial Reserves
CumulativeProduction
Sales Inventory
RemainingReserves
RemainingProved
Reserves
ProbableReserves
Probable Developed
ProbableUndeveloped
PossibleReserves
Possible Developed
Possible Undevelpped
36
Methods of Petroleum Reserves Estimations
EUR = ERR + Cum
EUR; Estimated Ultimate RecoveryERR; Estimated Remaining ReservesCum; Cumulative Recovery
EUR = OOIP x RF
EUR; Estimated Ultimate RecoveryOOIP; Original Oil-In-PlaceRF; Recovery Factor
• ANALOGY (Bbls per Acre Foot Period)• VOLUMETRIC(Bbls per Acre – Bbls Period)• PERFORMANCE (Bbls Period)
Simulation Studies Material Balance Studies Decline Trend Analyses
37
Analogy (Barrels per Acre Foot Period)
Requirements : A field or well which is expected to perform similarly.Advantages : Fast, cheap, can be done before drilling.Disadvantages: Accuracy (Apples and Oranges)
decimal Factor,Recovery RF
RB/STB Factor, VolumeFormation Oil Initial oiB
decimal ,saturation water initial average wiS
decimal porosity, average
Foot Acreper BarrelsBAF
:where
RF7758BAF
oiB
wiS1
38
Volumetric (Barrels per Acre to Barrels Period)
Requirements: A well. Logs and/or Core. Estimate of drainage area,recovery factor (analogy), fluid properties (minor).
Advantages : Minimal information. Can be done early in the life.Relatively fast.
Disadvantages: Requires assumptions (Area, Recovery Factor) whichmay not be true. May have gross errors.
EUR = OOIP x RF
EUR; Estimated Ultimate RecoveryOOIP; Original Oil-In-PlaceRF; Recovery Factor
RB/STB Factor, VolumeFormation Oil Initial oiB
decimal ,saturation water initial average wiSdecimal porosity, average
feet formation, ofheight AveragehAcres Area, DrainageA
Place-In-Oil OriginalOOIP:where
oiB
wiS1h A 7758
OOIP
39
Decline Curves (Barrels Period)
Requirements: Production history (only).
Advantages: No assumptions about size, type or other properties ofreservoir. Need only production history. Fast, cheap. Very accurate under certain circumstances. Results inproduction versus time prediction.
Disadvantages: Well must be producing under “constant” conditions.Need at least 6 months history (better 2-10 years).Ambiguous (does not necessarily give unique answer).Can not be used under changing well conditions. Notapplicable to all reservoirs.
40
Decline Curves (Continue)
197071 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99200001 02 03 04 05 06 07 08 09 10 11 12 13 141
10
100
1000
10000
CV
.Da
vgO
il, b
bl/d
Phase : OilCase Name : TPLb : 0.55Di : 0.05 A.n.qi : 67.0135 bbl/dti : 12/30/2006te : 04/30/2014End Rate : 1 bbl/dFinal Rate : 47.9872 bbl/dCum. Prod. : 5939.15 MbblCum. Date : 12/01/2006Reserves : 151.793 MbblEUR : 6090.95 MbblForecast Ended By : TimeForecast Date :
41
Material Balance
Requirements: Pressure, Production history, fluid properties, rock properties (relative permeability required for prediction).
Advantages : No assumptions necessary for areal extent, thicknessrecovery factor. Low sensitivity to porosity, water saturation. Can be used to calculate oil-in-place, gas-in-place, recoverable reserves (and therefore recoveryfactor), water influx, gas cap size.
Disadvantages: Pressure not usually available. Predictions are verysensitive to relative permeabilities. Required more information than Analogy, Volumetric and Decline Curvemethods.
42
Reservoir Simulation
Requirements: For each cell: permeability, porosity, thickness, elevation,initial saturation, initial pressure, rock compressibility.For each well: location, producing interval, productionrates versus time, pressure versus time.For each rock type: relative permeability of each phase,capillary pressure.For each fluid type: formation volume factors, viscosity,gas solubility, density.Reservoir description: faults, pinchouts, aquifers, layering.
Advantages: Ability to handle different rock and fluid properties indifferent areas of the reservoir. Can predict productionfrom individual wells. Once history match is obtained, canstudy effects of different producing schemes. Input datarequirements force close analysis of reservoir.
Disadvantages: Cost, time required to do study, amount of input data, non-unique match. Assumptions made to get match may notbe true in prediction runs. People tend to believe the answers.
43
Conclusions
• If the Material Balance and Decline Curves say there is more oil-in-place than the Volumetric, then there are probably un-drilled locations.
• By comparing the results from the various methods, much can be learned about the reservoir, detach the faulty assumption and form a better picture of reservoir.
• Each reserves estimations method requires different data than others to arrive at same result and can be used to crosscheck answers.
44
References
Integrated Petroleum Reservoir Management (Abdus Satter, Ph.D and Ganesh C. Thakur, Ph.D)
Reservoir Simulation Overview ( Dale Brown, Subsurface Director, Chevron Bangladesh)
Oil Property Evaluation (Thompson and Wright)
Determination of Oil and Gas Reserves (SPE monograph No-1)
Oil & Gas Reserves Estimations {Saw Ler Mu, ME(CSM)}
45