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Optimization of Coalbed Methane Completion Strategies, Selection Criteria and Production Prediction: A Case Study in China's Qinshui Basin

dc.contributor.authorKeim, Steven Anthonyen
dc.contributor.committeecochairKarmis, Michael E.en
dc.contributor.committeecochairLuxbacher, Kramer Davisen
dc.contributor.committeememberLuttrell, Gerald H.en
dc.contributor.committeememberWestman, Erik C.en
dc.contributor.committeememberFaria, Claudioen
dc.contributor.departmentMining and Minerals Engineeringen
dc.date.accessioned2014-03-14T20:15:50Zen
dc.date.adate2011-10-12en
dc.date.available2014-03-14T20:15:50Zen
dc.date.issued2011-08-18en
dc.date.rdate2011-10-12en
dc.date.sdate2011-08-31en
dc.description.abstractAdvanced three-dimensional reservoir modeling was used to determine the optimum strategy for coalbed methane production in China's Qinshui Basin. Multiple completion strategies were analyzed for pre-mining methane drainage on the bases of economic, environmental, and mining-safety-based factors. Effective degasification in the Qinshui Basin is crucial to enhance the health and safety of the underground mining workforce and to decrease carbon dioxide equivalent greenhouse gas emissions. Active, large-scale degasification wells in the region include hydraulically stimulated vertical fracture wells and multilaterally drilled horizontal patterns, with the latter much less common. Reservoir modeling concludes that despite their limited implementation, horizontal coalbed methane drainage wells offer the benefits of faster reservoir depressurization, high gas production rates, and faster recovery times than traditional vertical fracture wells. Coupled with reservoir modeling results, discounted cash flow analyses show that high drilling density multilateral horizontal patterns are the most financially feasible degasification strategy in the Qinshui Basin, albeit a higher initial capital investment compared to traditional vertical fracture wells and lower drilling density horizontal patterns. Additionally, horizontal wellbore designs can be altered to account for varying permeability, enhancing the productivity of methane from reservoirs exhibiting permeability values less than 1 millidarcy. Furthermore, modeling suggests that proper orientation of select horizontal wellbore patterns is crucial to optimize recoverable reserves. Finally, a function was derived to represent the production rates of horizontal coalbed methane wells as a function of time. Analysis of the function's validity to actual production data and simulated production data suggest that it is most applicable in gassy coal seams up to 10 feet in thickness. The production rate curve was transformed to an analytical model, representing a function of well geometry and coal permeability as applied to other geological conditions of the Qinshui Basin. Scientific contributions associated with this research include: An in depth study of degasification associated with the Qinshui Basin's low permeability coals; The methodology for assessing environmental, safety and economic benefits of coal degasification; The relationship between lateral spacing and permeability to maintain substantial gas production rates; An improved production model to describe the entire producing period of coalbed methane wells.en
dc.description.degreePh. D.en
dc.identifier.otheretd-08312011-120400en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-08312011-120400/en
dc.identifier.urihttp://hdl.handle.net/10919/28842en
dc.publisherVirginia Techen
dc.relation.haspartKeim_SA_D_2011.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectQinshui Basinen
dc.subjectreservoir modelingen
dc.subjectcoalbed methaneen
dc.titleOptimization of Coalbed Methane Completion Strategies, Selection Criteria and Production Prediction: A Case Study in China's Qinshui Basinen
dc.typeDissertationen
thesis.degree.disciplineMining and Minerals Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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