KAUST DepartmentApplied Mathematics and Computational Science Program
Permanent link to this recordhttp://hdl.handle.net/10754/552550
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AbstractShale gas represents a major fraction of the proven reserves of natural gas in the United States and a collection of other countries. Higher gas prices and the need for cleaner fuels provides motivation for commercializing shale gas deposits even though the cost is substantially higher than traditional gas deposits. Recent advances in horizontal drilling and multistage hydraulic fracturing, which dramatically lower costs of developing shale gas fields, are key to renewed interest in shale gas deposits. Hydraulically induced fractures are quite complex in shale gas reservoirs. Massive, multistage, multiple cluster treatments lead to fractures that interact with existing fractures (whether natural or induced earlier). A dynamic approach to the fracturing process so that the resulting network of reservoirs is known during the drilling and fracturing process is economically enticing. The process needs to be automatic and done in faster than real-time in order to be useful to the drilling crews.
CitationIntelligent fracture creation for shale gas development 2011, 4:1745 Procedia Computer Science
JournalProcedia Computer Science
Conference/Event name11th International Conference on Computational Science, ICCS 2011