Previous Research Activities
Exploitation and Optimization of Reservoir Performance in Hunton Formation, Oklahoma
The goal of this project goal was to understand the mechanism under which oil is produced from the Hunton Formation and to propose techniques to optimize the performance of these reservoirs using various technologies.
The project was funded through a Cooperative Agreement issued by the Department of Energy under their Gas/Oil - Oil Field Demonstrations Class Revisit Program. The project was directed by Mohan Kelkar of The University of Tulsa. Paul West and Purna Halder were our U. S. Department of Energy Program Managers. Industry partners included Marjo Operating Company, Inc., The University of Houston, and James R. Derby and Associates. Consultants to the project included independent geologists Joe Podpechan and Ron Snyder.
Final Report (August, 2007) (.pdf - 5.18MB)
Application of Integrated Reservoir Management and Reservoir Characterization
This project involved the application of reservoir characterization tools and techniques, advanced reservoir management techniques and advanced recovery technologies aimed at resolving specific producibility problems, which result in a significant increase in oil production from a mature water flood located in a shallow shelf carbonate environment.
The project was jointly funded by Fina Oil and Chemical Company, the U.S. Department of Energy, Texas A&M University, The University of Tulsa and David K. Davies & Associates.
Final Report (March, 2000) (.pdf - 2,090k)
Integrated Approach Towards the Application of Horizontal Wells to Improve Waterflooding
This project involved the application of horizontal well technology to improve the performance of a mature oil field located in a fluvially dominated deltaic sandstone reservoir.
The project was jointly funded by the U.S. Department of Energy, Amoco Production Company, Uplands Resources, Inc. and The University of Tulsa.
Final Report (August 1999) (.pdf - 4,281k)
Application of Artificial Intelligence to Reservoir Characterization: An Interdisciplinary Approach
This project involved the development of a user-friendly computer program to integrate geological and engineering information using artificial intelligence (AI) methodology. The project was restricted to fluvially dominated deltaic environments.
The project was jointly funded by the U.S. Department of Energy, and The University of Tulsa.
Final Report (August, 1997) (.pdf - 1,980k)