Automation of Decline Curve Analysis to Determine Permeability Distribution From Production History

Placeholder Show Content

Abstract/Contents

Abstract
This study addresses a method to determine reservoir properties using well production histories. The focus of this report is the determination of absolute permeability values using an automated decline curve matching procedure. This procedure is used in parallel with a reservoir simulation history matching process, and practical issues relating a reservoir model and the decline curve model are addressed. An automated algorithm employing nonlinear regression to process the well history data is presented. This algorithm is then demonstrated using seven simple reservoir problems, created using the BOAST black oil simulator. These demonstrations are used to draw conclusions about the simulator well model, the decline curve procedure, and possible applications of such a method in petroleum reservoir simulation.

Description

Type of resource text
Date created June 1985

Creators/Contributors

Author Brooker, James Hugh
Primary advisor Horne, Roland N.
Degree granting institution Stanford University, Department of Petroleum Engineering

Subjects

Subject School of Earth Energy & Environmental Sciences
Genre Thesis

Bibliographic information

Access conditions

Use and reproduction
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
Brooker, James Hugh. (1985). Automation of Decline Curve Analysis to Determine Permeability Distribution From Production History. Stanford Digital Repository. Available at: https://purl.stanford.edu/rp413qn4856

Collection

Master's Theses, Doerr School of Sustainability

View other items in this collection in SearchWorks

Contact information

Also listed in

Loading usage metrics...