Multivariate Optimization of ProductionSystems - The Time Dimension

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Abstract/Contents

Abstract
Carroll [1990] was one of the first to apply nonlinear optimization algorithms to production systems. Others have used linear programming, integer programming, dynamic programming and other techniques to optimization problems in petroleum engineering. However, Carroll [1990] focused on optimization of well production. The reader is referred to the work of Carroll [1990] for a history of optimization studies in petroleum engineering.In this study a model of the reservoir is coupled to a model of the tubing, and a model of a two stage separator. These models are then coupled with the nonlinear optimization algorithms and the objective function. The goal of the optimization study was to find the optimum values of the decision variables that gave the maximum value of the objective function -- in this case the present value of the hydrocarbon production. The production model included a time dimension; the oil and gas rates are given as a function of time.

Description

Type of resource text
Date created June 1992

Creators/Contributors

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

Subjects

Subject School of Earth Energy & Environmental Sciences
Genre Thesis

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Preferred citation

Preferred Citation
Ravindran, Niranjan. (1992). Multivariate Optimization of ProductionSystems - The Time Dimension. Stanford Digital Repository. Available at: https://purl.stanford.edu/qg806bq1199

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Master's Theses, Doerr School of Sustainability

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