Integration of Well Test Data Into Stochastic Modeling

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Abstract/Contents

Abstract: This study developed an algorithm based on Simulated Annealing to constrain the permeability and porosity distributions of a given reservoir model to the well test data collected at several wells. The technique can be used for single or multiple well tests. In order to keep the execution time of this algorithm within an acceptable range, the perturbation on the pressure transient due to a local heterogeneity is approximated by an analytic influence function. The results given by this approximation were compared to the results given by a simulator, and found to be reliable. The algorithm was tested on several examples, showing that the use of the analytic influence function allows considerable reduction in the computing time. Moreover, it was shown that such a constraining leads to a better prediction of a waterflood performed during a longer period of time.

Type of resource	text
Date created	April 1995

Author	Tauzin, Eric
Primary advisor	Horne, Roland N.
Degree granting institution	Stanford University, Department of Petroleum Engineering

Subject	School of Earth Energy & Environmental Sciences
Genre	Thesis

Location	https://purl.stanford.edu/ny186xk9723

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Preferred Citation: Tauzin, Eric. (1995). Integration of Well Test Data Into Stochastic Modeling. Stanford Digital Repository. Available at: https://purl.stanford.edu/ny186xk9723

Master's Theses, Doerr School of Sustainability

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