Stochastic Modeling in Reservoir Simulation

Autor:	J. K. Donnelly, L.Y. Ding, R. K. Mehra
Rok vydání:	1992
Předmět:	Reservoir simulation Sampling distribution Latin hypercube sampling Stochastic modelling Stochastic process Process Chemistry and Technology Monte Carlo method Deterministic simulation Applied mathematics Probability distribution Simulation
Zdroj:	SPE Reservoir Engineering. 7:98-106
ISSN:	2469-9683 0885-9248
Popis:	SUMMARY This paper outlines details of a method that includes uncertainty in deterministic simulations. The method uses the probability distributions of reservoir and geological properties to obtain a likelihood distribution of the output variables. The Monte Carlo sampling (mcs) method is often applied, but it is impractical for simulation studies because the number of computations becomes excessive. This paper uses an analytical thermal screening model to compare various variance-reduction methods with MCS simulations. The Latin hypercube sampling (LHS) method is then selected to conduct numerical simulations. The methods allow computation of the partial correlation coefficients, which, as demonstrated, can be used to determine the sensitivity of process variables.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3568e1dc2f0583f04ed2eb11b066d369 https://doi.org/10.2118/18431-pa Zobrazit plný text záznamu