1 22-27 January 2004, 2 nd Philippine PPM Case Study Workshop Resource Assessment Resource Assessment using using GeoX GeoX Coco Sta. Ana Department of Energy 22-27 January 2004, 2 nd Philippine PPM Case Study Workshop OUTLINE OUTLINE GeoX Data requirements Resource assessment basics Intro to GeoX gProspectR gPlayR 22-27 January 2004, 2 nd Philippine PPM Case Study Workshop OUTLINE OUTLINE Background of GeoX in DOE GeoX Data requirements Resource assessment basics gProspectR gPlayR gPortfolio 22-27 January 2004, 2 nd Philippine PPM Case Study Workshop Background of GeoX in DOE Background of GeoX in DOE 2000 2001 2002 2003 2004 v4.6 v5.01 v4.7 v5.03 v5.2* PhilPRA PhilPRO PPM ~1998 v4.6 Upgrade history Client/server version * For uploading
17
Embed
Resource Assessment using GeoX Intro to GeoX PPM GEOX FINAL.pdf · 2006. 3. 11. · Intro to GeoX 22-27 January 2004, 2nd Philippine PPM Case Study Workshop Creating models in GeoX
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
1
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Resource Assessment Resource Assessment using using GeoXGeoX
Coco Sta. AnaDepartment of Energy
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
OUTLINEOUTLINEGeoXData requirementsResource assessment basicsIntro to GeoXgProspectRgPlayR
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
OUTLINEOUTLINEBackground of GeoX in DOEGeoXData requirementsResource assessment basicsgProspectRgPlayRgPortfolio
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Background of GeoX in DOEBackground of GeoX in DOE
2000 2001 2002 2003 2004
v4.6
v5.01v4.7
v5.03v5.2*
PhilPRA PhilPRO
PPM
~1998
v4.6
Upgrade history
Client/server version
* For uploading
2
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
DOE License3 simultaneous user licenses
MaintenanceLocal system administratorTechnical support from Geoknowledge
Background of GeoX in DOEBackground of GeoX in DOE
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
GeoXGeoXRisk, Resource and economic Value (RRV) assessment workbench
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
GeoXGeoX
gPlayR gProspectR gFullCycle
DBgPortfolio
Excel, Spotfire etc.
Analysis Exportand Import
gField
gDiscovery
gProfile
Source: Geoknowledge
GeoXTools
gScenariogAggregate
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Data requirements in resource Data requirements in resource assessment (using GeoX)assessment (using GeoX)
Cultural and geological data Resource classification systemRisk modelOther cultural data (e.g., lithology, environment)
Speculative (Unmapped) Resources Resources in Confirmed PlaysResources in Unconfirmed Plays
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Resource assessment basicsResource assessment basicsRisk model
Estimate the probability of making a discoveryMake the volume estimates less wrong (White, 1993)
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Resource assessment basicsResource assessment basicsEstablish risking guidelines prior to assessment
Split into prospect level and play levelExample
Factors taken from the CCOP Guidelines on Risk Assessment
PLAY FACTORS PROSPECT
Existence of reservoir faciesEffective porosityPresence of trap
Effective sealEffective source
Effective migrationRetention after accumulation
x
xx
x
x
x
x
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Resource assessment basicsResource assessment basicsPlay probability
P (Play) is 1,When the play has a technical discovery.The play is confirmed.
P (Play) lies between 0 and 1,When there is no discovery or the play
has not been tested thru drilling.The play is unconfirmed.
5
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Intro to Intro to GeoXGeoX
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Creating models in GeoXCreating models in GeoX• Log on to GeoX• Click System menu• Select Resource class editor• Select File• Create New resource class editor• Click System menu• Select Risk model editor• Select File• Create New risk model• Set as default
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
GeoX Risk ModelGeoX Risk ModelMarginal play probability (MPP)Conditional prospect probability (CPP)Probability of success = MPP * CPPDry hole risk = 1 – probability of success
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Creating analysisCreating analysisUse GeoXplorer to access and create analyses
Use the tool notebook to enter estimates
6
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
MULTIPLE RESERVOIRSMULTIPLE RESERVOIRSMultiple components can be due to
multiple layers or faulting.
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
MULTIPLE RESERVOIRSMULTIPLE RESERVOIRSFrom NPF, Special publication no. 6
10
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Applies to gProspectRProspect level prospectivity and risk analysis
Similar mechanics as for the standard, single segment model
Calculates resources in prospects with multiple components
More than one reservoir layerDifferent but dependent HC risks and volume
uncertainties
GEOX MULTIGEOX MULTISEGMENT SEGMENT OPTIONOPTION
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
For accurate and effective evaluation of complex, multiple zone and multiple compartment prospectsFor better assessment of the prospect economics
ApplicationsApplications
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Risk tables in GeoXRisk tables in GeoXSingle segment prospect
Risk factor P (play) P (prospect | play)Existence of reservoir facies(decim 1.000Effective source (decimal) 1.000Effective porosity (decimal) 1.000Presence of trap (decimal) 1.000Effective seal (decimal) 1.000Effective migration (decimal) 1.000Retention after accumulation (dec 1.000> Marginal play probability (decim (calc.)> Conditional prospect probability (calc.)> Unconditional probability (decim (calc.)> Dry hole risk (decimal) (calc.)
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Risk levels in GeoXRisk levels in GeoX
Multiple segment prospectProspectReservoirSegment
11
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Risk levels in GeoXRisk levels in GeoX
Segment levelThe simplest multiple segment case is
a prospect with a single reservoir level and two (2) segments.
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Risk tables for multisegmentsRisk tables for multisegmentsProspect level
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Risk tables for multisegmentsRisk tables for multisegmentsReservoir level
Factor P(play)P(common res level | play)
P(common res level)
max P( common res level | play)
P(effective porosity) decimal 1.000P(presence of trap) decimal 1.000P(effective seal) decimal 1.000P(effective migration) decimal 1.000P(retention after accumulation) dec 1.000P(existence of reservoir facies) dec 1.000 1.000P(effective source) decimal 1.000 1.000 P(Total) decimal 1.000 1.000 1.000 1.000
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Risk tables for multisegmentsRisk tables for multisegmentsSegment level
FactorP(segment | play) P(play)
P(segment | res level) P(segment)
P(effective porosity) decimal 1.000P(presence of trap) decimal 1.000P(effective seal) decimal 1.000P(effective migration) decimal 1.000P(retention after accumulation) dec 1.000P(existence of reservoir facies) dec 1.000 1.000P(effective source) decimal 1.000 1.000 P(Total) decimal 1.000 1.000 1.000 1.000
12
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Enter each individual probabilities
When risking,When risking,
Risk factor P (play) P (prospect | play)Existence of reservoir facies(decim 1.000Effective source (decimal) 1.000Effective porosity (decimal) 1.000Presence of trap (decimal) 1.000Effective seal (decimal) 1.000Effective migration (decimal) 1.000Retention after accumulation (dec 1.000> Marginal play probability (decim (calc.)> Conditional prospect probability (calc.)> Unconditional probability (decim (calc.)> Dry hole risk (decimal) (calc.)
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
RESULTS OF ANALYSISRESULTS OF ANALYSISSegments
Segment Recoverable Resources (unrisked)
[R1]Ss1 (1.000)Low (90) Mean High (10)
Oil [million STB]Non Associated Gas [billion SCF]Associated Gas [billion SCFl]Condensate [million STB]
[R1]Ss2 (1.000)Low (90) Mean High (10)
Oil [million STB]Non Associated Gas [billion SCF]Associated Gas [billion SCFl]Condensate [million STB]
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
RESULTS OF ANALYSISRESULTS OF ANALYSIS
Total resources
RiskRisk Summary
P(Oil): P(Gas): P(Oil&Gas) Dry Hole Risk:
Resource Summary (unrisked prospect)-all segmentsIn place RecoverableLow (90) Mean High (10) Low (90) Mean High (10)
Oil [million STB]Non Associated Gas [billion SCF]Associated Gas [billion SCFl]Condensate [million STB]
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
gPlayRgPlayR
13
22-27 January 2004, 2nd Philippine PPM Case Study Workshop
Input dataInput data--gPlayRgPlayRVolumetric model
closureclosurethicknessthickness
geometric factorgeometric factor(gross rock volume*)(gross rock volume*)