Date of Graduation
Statler College of Engineering and Mineral Resources
Petroleum and Natural Gas Engineering
The main goal of this thesis is to modify and apply the state-of-the-art intelligent, optimum portfolio management to the gas storage field in order to optimize the return on investment associated with well remedial operations. It continues the development of a methodology for candidate selection and stimulation design and optimization using Artificial Intelligence techniques. The project used the data of an actual gas storage field to test the results.;The project data include Well-bore, Completion, Perforation, Stimulation, Well-test and Reservoir Data. The software developed in parallel with this selection methodology includes an easy to use interface that allows the user to edit the data for a gas storage field, perform well-test analysis and use neural networks in association with Genetic optimization tool. The software ranks the well according to maximum change in skin value for a well and thus a decision to re-stimulate the well or not is made accordingly.
Malik, Kazim A., "An intelligent portfolio management approach to gas storage field deliverability maintenance and enhancement" (2006). Graduate Theses, Dissertations, and Problem Reports. 3262.