An Enhanced Framework for Modeling Complex Well Configurations

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Abstract/Contents

Abstract
The availability of complex and "intelligent" completion options for non-conventional wells and the increasing use of geostatistics - generating multiple permeability realizations of the reservoir under study - call for fast and flexible production evaluation tools. We present an enhanced framework for performing such tasks. It is based on semi-analytical solutions (Green's functions representation) that we extended to model multiple wells operating under bottomhole pressure control. The formulation is applicable for single-phase slightly compressible flow conditions. The approach entails the use of a time stepping procedure introduced to account for the variation in time of the well rates. Several cases are presented to demonstrate the full capabilities of the framework, including an example involving a dual-lateral well operating with downhole chokes in a highly heterogeneous fluvial reservoir. In addition, gas reservoirs producing at constant rate are modeled using a linearization of the pressure equation. Results for both enhancements are compared to finite difference calculations. The semi-analytical procedure is thus shown to provide a quite acceptable level of accuracy while providing a high level of computational efficiency.

Description

Type of resource text
Date created June 2002

Creators/Contributors

Author Serve, Jerome
Primary advisor Durlofsky, Louis J.
Primary advisor Aziz, Khalid
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
Serve, Jerome. (2002). An Enhanced Framework for Modeling Complex Well Configurations. Stanford Digital Repository. Available at: https://purl.stanford.edu/xd499sm5592

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Master's Theses, Doerr School of Sustainability

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