Intelligent fracture creation for shale gas development

Handle URI:
http://hdl.handle.net/10754/552550
Title:
Intelligent fracture creation for shale gas development
Authors:
Douglas, Craig C.; Qin, Guan; Collier, Nathan O.; Gong, Bin
Abstract:
Shale 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.
KAUST Department:
Applied Mathematics and Computational Science Program
Citation:
Intelligent fracture creation for shale gas development 2011, 4:1745 Procedia Computer Science
Journal:
Procedia Computer Science
Issue Date:
14-May-2011
DOI:
10.1016/j.procs.2011.04.189
Type:
Article
ISSN:
18770509
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S187705091100247X
Appears in Collections:
Articles; Applied Mathematics and Computational Science Program

Full metadata record

DC FieldValue Language
dc.contributor.authorDouglas, Craig C.en
dc.contributor.authorQin, Guanen
dc.contributor.authorCollier, Nathan O.en
dc.contributor.authorGong, Binen
dc.date.accessioned2015-05-10T14:30:59Zen
dc.date.available2015-05-10T14:30:59Zen
dc.date.issued2011-05-14en
dc.identifier.citationIntelligent fracture creation for shale gas development 2011, 4:1745 Procedia Computer Scienceen
dc.identifier.issn18770509en
dc.identifier.doi10.1016/j.procs.2011.04.189en
dc.identifier.urihttp://hdl.handle.net/10754/552550en
dc.description.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.en
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S187705091100247Xen
dc.rightsArchived with thanks to Procedia Computer Science. http://creativecommons.org/licenses/by-nc-nd/3.0/en
dc.subjectsensor-model feedbacken
dc.subjectdynamic data-driven application systemen
dc.subjectDDDASen
dc.subjectmultiscale methodsen
dc.subjectreservoir simulationen
dc.titleIntelligent fracture creation for shale gas developmenten
dc.typeArticleen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.identifier.journalProcedia Computer Scienceen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionUniversity of Wyoming School of Energy Resources, Laramie, WY 82071, USAen
dc.contributor.institutionPeking University Department of Energy and Resource Engineering, Beijing 100871, Chinaen
kaust.authorCollier, Nathaniel Orenen
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