As the interest in coalbed methane production increases more and more engineers and scientists are becoming interested in the reservoir and sorption characteristics of different coal seams throughout the U.S and the world. As they set out to search for such information it becomes clear that finding such information is not easy. The difficulties associated with collecting such information are due to three major factors. First is the fact that development of CBM reservoirs is a relatively new phenomenon when it is compared with conventional hydrocarbon reservoirs. Secondly, companies that are in possession of such data and information are very protective of their data. They consider them company assets and are not ready to release them. Thirdly, whatever data and information that is available in the public domain is scattered in hundreds of technical papers and publicly funded project reports.
In the history of petroleum science there are a vast variety of productivity solutions for different well types, well configurations and flow regimes. The main well types that were considered for calculating the productivity indexes were vertical wells and horizontal wells. The configurations considered were multilayer perforations, dual lateral wells with laterals at same depths, stacked wells etc. There are few solutions to estimate the well productivity for complex configurations like multilateral wells. The main objective of this work is to identify a numerical solution method for calculating productivity indexes for different well configurations like single vertical well, single horizontal well, dual lateral well with laterals at same depth, dual laterals with laterals at different depths and four laterals well. A three-phase, three-dimensional black oil reservoir simulator (ECLIPSE) is used in this thesis. Apart from comparing the productivity indexes of different well configurations, dimensionless pressure derivatives with respect to dimensionless time is also compared for all the above well configurations. iii ACKNOWLEDGEMENTS At the first place, I would like to express my deepest gratitude and appreciation to my advisor Dr. Ilkin Bilgesu. Throughout his support, guidance and encouragements during my graduate program, I have completed my studies and the thesis, which culminated in the achievement of my degree. He entirely changed my life and without him this would never be possible. Sincerely thanks to Professor and Department Chair Samuel Ameri for guidance and support during my graduate studies at West Virginia University. I also appreciate his enthusiasm to be on my committee. I sincerely thank Dr. Daniel E. Della-Giustina for his guidance, support in my research work and for being on my committee. Many thanks to my professors in the Department of West Virginia University for the knowledge they shared with me. I would like to acknowledge Schlumberger for providing the software (ECLIPSE) used in this study. Great portion of help and encouragements that I had during my graduate studies I owe to all my friends. Thank you for the time you spent with me. Great thanks to my family, especially to my brother Aravind Nunsavathu, for the constant encouragement and support. He is the best friend I have ever had in my life. Finally, I dedicate my work to my loving parents, wife and to my brother for all of their belief, guidance, support, and encouragement.
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