NDLI: Conditional simulation as a tool for measuring uncertainties in petroleum exploration

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Conditional simulation as a tool for measuring uncertainties in petroleum exploration

Content Provider	Springer Nature Link
Author	Pan, Guocheng
Copyright Year	1997
Abstract	A fundamental task for petroleum exploration decision-making is to evaluate the uncertainty of well outcomes. The recent development of geostatistical simulation techniques provides an effective means to the generation of a full uncertainty model for any random variable. Sequential indicator simulation has been used as a tool to generate alternate, equal-probable stochastic models, from which various representations of uncertainties can be created. These results can be used as input for the quantification of various risks associated with a wildcat drilling program or the estimation of petroleum resources. A simple case study is given to demonstrate the use of sequential indicator simulation. The data involves a set of wildcat wells in a gas play. The multiple simulated stochastic models are then post-processed to characterize various uncertainties associated with drilling outcomes.
Starting Page	285
Ending Page	293
Page Count	9
File Format	PDF
ISSN	09611444
Journal	Natural Resources Research
Volume Number	6
Issue Number	4
e-ISSN	15738981
Language	English
Publisher	Springer US
Publisher Date	1997-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Drilling uncertainty petroleum exploration conditional simulation Math. Applications in Geosciences Economic Geology Sedimentology Hydrogeology
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Environmental Science

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