e-field: efficient, intelligent operations for field...
TRANSCRIPT
e-Field: Efficient, Intelligent Operations
for Field Development
Rich DowneyUnconventional Reservoir Theme Manager
Schlumberger Oilfield Services
Houston, Texas
281-285-7231 or [email protected]
TIPRO’s 61st Annual Convention
Austin, Texas
February 28 - March 2, 2007
2 RMD
Schlumberger
Unconventional Reservoir Solution
Reservoir Evaluation and Production Enhancement services and solutions through the application of innovative Completion technologies
and answer products.
Increase Field Recovery
Maximize Production
Strong focus on reservoir description
Increase Efficiency
Technology Application Drivers
3 RMD
Schlumberger
Agenda
e-Field: Efficient, Intelligent Operations for Field
Development
� Completions Efficiency
� Operational Efficiency
� Production Efficiency
4 RMD
Schlumberger
Su
rfa
ce
E
ffic
ien
cy � Collaborative Environment
� i-field Initiatives
� Fit for Purpose Equipment and Services
� Timely Treatment Execution
� Operationally Knowledgeable Teams
� Best-in-Class Safety Performance
� Safety and Environmental Impact
Co
mp
leti
on
s E
ffic
ien
cy
� Collaborative Environment
� i-field Initiatives
� Reservoir Modeling… Reservoir Pressure, Drainage, Etc..
� Field Development Planning
� Optimize Drilling Process
� Stimulation and MLEF Optimization
� Accurate Production Prediction
� Risk Management
� Applying Technologies to Enhance SIMOPS
� Influencing Future Technology… Horizontal / Pad
$
MCF
Business Drivers
6 RMD
Schlumberger
Field Development WorkflowAnd Project Processes™Acquire, Inventory and QC
All Data
Special Log Analysis
Map Other
Associated Zones
Petrography
Map ThicknessCorrelate logs
Formation
Evaluation
STATIC
RESERVOIR MODEL
Structural
Analysis /
Fracture
Assessment
Fractures in Well
(FMI, Core, WTA)
Outcrop Studies
Core Description
Log Calibration
Tectonic
Interpretation
Seismic Data
Regional / Field
Structure, Gravity,
Magnetics,
Lineament Maps
Gas Resource
Map Thermal
Maturity
Map Gas Content
In-Situ Stress
Reservoir
Characterization
Hydrology
Analysis
Map Hydrologic
Properties
Production Analysis
Structural Model
Analyses
Original
Gas In-Place
Dynamic
Reservoir
Model
7 RMD
Schlumberger
FDP Workflow and Project Processes (continued)
Construct Time-
Dependent Deck
Production and Pressure Data
Initialize ModelReservoir & Geologic Data
Calibrate
Model Import Observed
Data
History Matching
Production Forecasting
Economic Analysis
Define Forecast Cases Client/Project Objectives
Deterministic
Forecasts
Probabilistic
Forecasts
Construct Baseline Model
Define Project/Analysis
Area
Distributions of
Variable Properties
Monte Carlo
Simulations
Construct Forecast Models
Run Forecast
Cases
Geologic Maps
Economic & Financial
Parameters
Production ForecastsConstruct
Cash-Flow
Model Development Schedule
Cash-Flows & Summaries
Construct Dynamic
Reservoir Model
8 RMD
Schlumberger
Reservoir Modeling and Simulation
Early in a play life, simulation is used to integrate all field data into a
forecasting model
� Estimate gas in place and recovery factors
� Provide gas/water forecasts and reserves
� Optimize stimulation designs in vertical/horizontal wells
� Evaluate well spacing and lateral length
� Identify best completion intervals
� Evaluate production practices
� Quantify storage and flow mechanisms
Appraise Each Well as a Catalyst to Continuously Improve Value
9 RMD
Schlumberger
Models Driving Business Decisions:3D Petrel Mechanical Earth Model
Integration of all data to provide a predictive tool to Integration of all data to provide a predictive tool to drive well location / drive well location / development strategy minimize drilling issues and optimize development strategy minimize drilling issues and optimize
stimulation effectiveness, maximizing productionstimulation effectiveness, maximizing production
Seismic-scale
faultsSub-seismic faults and fractures (FMI)
10 RMD
Schlumberger
Earth Model
Logging
Observations
Completion
Observations
Drilling
Observations
Reservoir
Observations
Drilling
SimulatorFracture
Simulator
Reservoir
Simulator
Petrophysics
Simulator
AgreementAgreementAgreementAgreement
BetweenBetweenBetweenBetween
Model & DataModel & DataModel & DataModel & Data
Decisions
Execute Plan
Local
Knowledge
YesNo
Refine
Model
Best
Practice
Integrated Earth Model Based Workflow
11 RMD
Schlumberger
FG-5_new - X-Permeability (md)
07/01/2003 00:00:00 0.0000 days
0.0020
0.0018
0.0016
0.0014
0.0012
0.0010
0.0008
0.0006
0.0004
0.0002
0.0000
Low Perm
Shale Matrix
High Perm
Orthogonal Sets of
Natural Fractures Matrix-Block - Gas Pressure (psia)
12/28/2003 00:00:00 180.0000 days
3500
3000
2500
2000
1500
1000
500
Eclipse – Model Naturally Fractured Reservoirs
10 Year Matrix
Pressure Drop
12 RMD
Schlumberger
0
0.2
0.4
0.6
0.8
1
1.2
3000
'-1:1
Anis-15
Fracs
3000
'-1:1
0 Anis-
15 F
racs
3000
'-1:1
Anis-10
Fracs
3000
'-1:1
0 Anis-
10 F
racs
3000
'-1:1
Anis-5
Fracs
3000
'-1:1
0 Anis
-5 Fr
acs
1500
'-1:1
Anis-10
Fracs
1500
'-1:1
0 Anis-
10 F
racs
1500
'-1:1
Anis-5
Fracs
1500
'-1:1
0 Anis-
5 Fr
acs
Vertical W
ell Ave
rage
$/M
CF
$/M
CF
$/M
CF
$/M
CF
0
500
1000
1500
2000
2500
3000
3500
4000
4500
Re
serv
es
MM
CF
Re
serv
es
MM
CF
Re
serv
es
MM
CF
Re
serv
es
MM
CF
$/MCF20 Yr Reserves
Finding Costs & Reserve Comparison
14 RMD
Schlumberger
Hydraulic Fractures In Horizontal Wellbores
Wellbore azimuth 0 °°°°Longitudinal fractures
Surface
Reservoir
Minimum horizontal stress
Vertical Stress
Maximum horizontal stress
Wellbore azimuth 90°°°°Transverse fractures
Goal is to Create Surface Area
15 RMD
Schlumberger
Microseismic
�� Real TimeReal Time –– used as used as
required to adjust job required to adjust job
execution (good idea; execution (good idea;
needs more development)needs more development)
�� InterpretationInterpretation –– has led has led
to better understanding of to better understanding of
fracture geometry and fracture geometry and
subsequent job design subsequent job design
considerationsconsiderations
16 RMD
Schlumberger
• Low stress anisotropy
• Lower seismic anisotropy
• Wide fracture fairway
• High stress anisotropy
• Higher seismic anisotropy
• Narrow fracture fairway
3D Sonic Scanner - Stress Anisotropy
SH
SH
Sh
ShSH
SH
Sh
Sh
17 RMD
Schlumberger
Fracture Geometry Information from Horizontal Image LogsVariable Induced Fractures Infers Variable Stress
Transverse Fractures Only:
σσσσHHHH >> σσσσhhhh
No Fractures:
High High High High σσσσ’’’’
Long & Trans Fractures:
Low Low Low Low σσσσ‘ & ‘ & ‘ & ‘ & σσσσHHHH ~ σσσσhhhh
Long, Narrow Fracture FairwayLong, Narrow Fracture FairwayLong, Narrow Fracture FairwayLong, Narrow Fracture FairwayWide Fracture FairwayWide Fracture FairwayWide Fracture FairwayWide Fracture FairwayNo FracturesNo FracturesNo FracturesNo Fractures
19 RMD
Schlumberger
Hydraulic Fracturing Mapping
Integration of reservoir properties, fracture Integration of reservoir properties, fracture Integration of reservoir properties, fracture Integration of reservoir properties, fracture
modeling and micro seismic detection aid in modeling and micro seismic detection aid in modeling and micro seismic detection aid in modeling and micro seismic detection aid in
reservoir optimizationreservoir optimizationreservoir optimizationreservoir optimization
Well placement Well placement Well placement Well placement
with HFM fracture with HFM fracture with HFM fracture with HFM fracture
geometrygeometrygeometrygeometry
Well placement Well placement Well placement Well placement
without fracture without fracture without fracture without fracture
detectiondetectiondetectiondetection
• Improve the return on stimulation
investment
• Determine optimum well spacing &
placement
• Calibrate fracturing models
• Optimize fracturing design
Actual Microseismic map of a 6 stage Actual Microseismic map of a 6 stage Actual Microseismic map of a 6 stage Actual Microseismic map of a 6 stage
completioncompletioncompletioncompletion
20 RMD
Schlumberger
Mechanical Earth Modeling
� Basis for drilling simulator and optimization
� Completions modeling for hydraulic frac dimension
� Tie to StimMAP microseismic data for model validation
� Perforation and stage design
� Optimized Cfd
� Well locations and drainage area
� Aid to Drilling and Completions
� Natural fracture understanding for maximized productivity
� Fluid and proppant selection
22 RMD
Schlumberger
i-fieldEfficiency and Production Enhancement
i-District
Operational Support Center
Production Center of Excellence
Planning and Logistics
Drilling Execution
Production Optimization
Reservoir Management
OSC
Hub
platform
platform Remote Site
Remote SiteRemote Site
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23 RMD
Schlumberger
Process Change for Safe, Efficient Operation
24 hour completion operations including, simultaneous perforating and
fracing, optimizes time on location and reduces total completion time. An
average of (8) fracs/day are routinely stimulated.
24 RMD
Schlumberger
i-District Components
End-to-End Service Delivery Process
Resource Management Component
Service Oriented Architecture
Global Mobile Operation
i-District Setup
Business Process Manager
25 RMD
Schlumberger
Operation Support Center - OSC
Interactive service operations –a proven system for remotely monitoring, modeling, and controlling processes to optimize services while increasing safety and reducing risk
26 RMD
Schlumberger
Operational Support Centers/ Decision Support Center
Information available from the wellhead or the
server through any browser capable device
Production Enhancement Identification
Communication can be accomplished;
between wells
between each well and the server
Between the server and each well
Alarming on KPI;
Liquid Loading
Productivity Index
Fields Communication Office
DeviceManagement
AlarmManagement
Trender
Role Manager
Production W
atcher
Field InterfaceMonitoring & Surveillance
Reservoir Behavior Analysis
Best of breedCommunications
Kanak1.0
Production Optimization - Surveillance & Diagnostics
27 RMD
Schlumberger
Data Conditioning, Reporting, Management
Surveillance in real time
Production Optimization
Reservoir Optimization
Production Optimization in Real Time
Data Gathering & Transmission (BHP, WHP, Flowrate)
VALUEVALUEVALUEVALUE
Production Center of Excellence
30 RMD
Schlumberger
i-field Summary
� Real-time data is valuable in optimizing the deliverability of the entire system• Maintain efficiency of the wellbore
• Maximize production from the reservoir
• Multi-well analysis for reservoir performance optimization
� Real-time data allows a time snap of the reservoir
� Information management:
� The right people, the right methodologies, the right processes