SPOTFIRE - DECISIONSITE

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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

CAD

ZMAP

• •

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

(

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