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Alternatives to Monte-Carlo Simulation for Probabilistic Reserves Estimation and Production Forecsting

Authors: Srikanta Mishra;

Alternatives to Monte-Carlo Simulation for Probabilistic Reserves Estimation and Production Forecsting

Abstract

Abstract This paper describes three alternatives to Monte-Carlo simulation: (a) the first-order second moment method, (b) the point estimate method, and (c) the first-order reliability method, for the assessment of uncertainty in reservoir engineering calculations. These techniques are proposed as more suitable than Monte-Carlo simulation when information regarding parameter uncertainty is limited, the forward model is computation intensive, and/or the probability associated with only a limited number of model outcomes is of interest.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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