Automatic History Matching to Determine Relative Permeability

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Abstract/Contents

Abstract
A new approach for the estimation of relative permeability through automatic history matching of field production and pressure data is presented. In this approach, the grid blocks (in a simulation model) which contain no well are jointly treated as a source for oil, gas and water effluxes into the well block(s). From material balance, the saturation of each phase with time in the well block(s) can be estimated. Applying a least-square fit to the observed well gas-oil ratio and water-oil ratio, a first estimate of the relative permeability for the three phases is made and used in the simulation program. Through an automatic history matching procedure built into the program, the relative permeability for the three phases are improved with subsequent simulation runs until a satisfactory history match is obtained.To illustrate the feasibility of the new approach, simulation studies have been carried out using the simulator, BOAST. A 9 x 8 x 1 areal model of a homogeneous reservoir with three phase flow has been utilised, and studies conducted for production under natural depletion and with water injection. For natural depletion, the results show that only two simulation runs are required to determine the relative permeability for the three phases, with an error of about 2% between calculated and observed well gas-oil and water-oil ratios. However, the new approach has been found not to be feasible for the case of production with water injection, and by corollary, for production with gas injection. Although Corey type relative permeability curves have been assumed for the simulation models, the new approach ca,n be applied to other types of analytical relative permeability curves, e.g. Chierici's, polynomial types.

Description

Type of resource text
Date created February 1990

Creators/Contributors

Author Mamora, Daulat D.
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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User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred citation

Preferred Citation
Mamora, Daulat D. (1990). Automatic History Matching to Determine Relative Permeability. Stanford Digital Repository. Available at: https://purl.stanford.edu/sy618bd2946

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Master's Theses, Doerr School of Sustainability

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