Transcript SPOTFIRE - DECISIONSITE
Uses of Spotfire DecisionSite At ChevronTexaco
Handling our Data Avalanche with Guided Visual Analytics Mark Ruths Sr Staff Technology Coordinator ChevronTexaco Energy Technology Co. 2003 Spotfire User Conference – San Francisco October 15, 2003
DecisionSite Uses in ChevronTexaco
Business Planning Basin Modeling with Neural Networks Reserves Estimations Oil Fingerprint Analysis with Maps Produced Water Analysis Biostratigraphy Markers Exploration Portfolio Optimization Exploration Technical Risk Analysis Completion Effectiveness Interactive Field Screening Simulator Results Analysis & Infill Well Design Gas-Liquid Separator Performance
Uses of Spotfire DecisionSite at other Energy Companies Fracture Analysis Steam Flood Analysis Salary Analysis Lease Sale Analysis Well Bore/Hole Analysis Erosion Studies Monte Carlo Simulation Analysis Core Analysis Mergers and Acquisitions
Reservoir parameter values for Reserve Calculation
Exploration Team
Using more data improves porosity range…and reserves
Over pressure regions well defined using all the data
Most high pressure deviation found in the Miocene
Analyze Oil Fingerprints to Identify Reservoir Compartments
Basin Evaluation Team 1000 Sample 1506 900 800 700 600 500 400 300 200 100 10 20 30 40 50 60 70 Gas Chromatography is a Common Technique for Oil Fingerprinting
Display Oil Fingerprints as a Profile Chart
RFT Pressure Data Oil Field A Oil Fingerprint Data Oil Field A Oil Field B Oil Field B Chromatography Peak Height Ratios
Add Map Data from various sources
Public Domain Maps ChevronTexaco Maps
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CAD
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ZMAP
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Stratworks Arcview ArcView Shape Files Spotfire MapIS
All Visible Records Mapped
Oil Fingerprint Data Peak Height Ratios
Oilfield A Wells Mapped
Selected Records Field A
Oilfield B Wells Mapped
Selected Records Field B
QC Produced Water Database Rock & Fluids Lab Fault Blocks: A-Dark blue B-Yellow D-Green E-Pink
Chloride (mg/l)
Water chemistry identifies reservoirs Fault Blocks: A-Dark blue B-Yellow D-Green E-Pink
Sand
Stacked Histogram Display
Geochemical Separation within fault blocks 2000
Ca
12000
Multiple dimensions clarify clustering
Fault Block F Fault Block Q Fault Block P Fault Block EE Fault Block D Fault Block L
Biostratigraphic Heatmap shows breaks in stratigraphy Microfossil Species Heat Map Bolivina catanensis Neogloboquadrina acostaensis Pullenia subcarinata Globigerinoides kennetti Gyroidina wengeri This example displays a range chart of microfossils As they occur in samples from a particular well.
Hot colors are large numbers of a particular species.
Major species assemblage changes by row are stratigraphic breaks.
Rows 4-6 are cluster analyses – clusters are colored.
Bulimina spp.
Laterostomella striata Cibicidoides matanzasensis Ceratobulimina hauerii Globorotalia praescitula Valvulineria pennatula
Select the optimal Prospects to drill in the Exploration Portfolio
Worldwide Exploration Team
Which Prospects to drill with this year’s budget?
COST Prospects sized by Well Cost MMBOE NPV Reward : Millions of Barrels Recoverable Oil Equivalent (MMBOE)
Look at one Business Unit
COST NPV Reward : Millions of Barrels Recoverable Oil Equivalent (MMBOE)
Analyze Dependencies: A successful well could raise the probability of success for a group of prospects
Assess Technical Risk of Exploration Opportunities
Corporate Amplitude Risk & Standards Team
Prospects - Risk Profile
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Colored by Critical Risk Factor)
Low Medium High
Area A Area B Area C Area D Area E Area F Area G Area H Area I Area J Area K Area L Area M Area N Area O Area P 1.0
0.71
Elan 0.13
Critical Risk Factor Charge Reservoir Structure Seal 0.5
0.35
0.25
Chance of Success
0.18
0.09
0.06
Evaluate Completion Techniques
Reservoir Engineering Effective Operations
Workover Effectiveness
Ineffective Operations Many ineffective operations over a long time period Frac & Frac+Perf particularly effective for incremental oil
Analyze Simulator Results to Design Infill Well Paths
Reservoir Engineering
Simulation Analysis Oil Saturation 4/2002
((0.651976744186047 <= O%_i) and (O%_i <= 0.89)) and ((0.08 <= SW_2) and (SW_2 <= 0.395581395348837)) and ((0.601744186046512 <= SO_2) and (SO_2 <= 0.9)) and ((0.0806395348837209 <= POR_2) and (POR_2 <= 0.202)) WellComp in (P) and Type in (New,Prod)
Performance Test data for compact Gas-Liquid separators being considered for subsea processing
Advanced Production Technology
A Gas-Liquid Cylindrical Cyclone (GLCC) Separator in a Multiphase Metering Loop (MML) Configuration
Inclined Multiphase Inlet Goal is to Minimize Liquid Carry-over Gas Meter & Gas Carry-under Multiphase Outlet Liquid Meter
GLCC Separator in a MML
5 ft dia 20 ft tall 200 mblpd 70 mmscf/d 160 psia 360 F
Largest GLCC in the World
GLCC Performance Test Matrix
Oil Water Gas Flow Rate Rotated by Liquid Carry-over Sized by Gas Carry-under
GLCC Gas Carry-Under Performance
Inlet Gas Volume Fraction