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dc.contributor.authorKhan, I-
dc.contributor.authorIsmail, A-
dc.contributor.authorAli, I-
dc.date.accessioned2019-11-27T06:16:01Z-
dc.date.available2019-11-27T06:16:01Z-
dc.date.issued2018-01-01-
dc.identifier.issn414 012021-
dc.identifier.urihttp://142.54.178.187:9060/xmlui/handle/123456789/1823-
dc.description.abstractBrittleness and ductility play a very important role in the stimulation design of unconventional reservoirs as it controls the fracture length and shape of hydraulic fractures. The estimation of mechanical properties of the reservoir rock is very important for the successful execution of reservoir drilling, production, and development operations. In this study, the mechanical properties are calculated using well log responses for selected reservoir section after a quality check of the data. Brittleness is estimated from empirical correlations basedon mechanical properties estimated from well logs response, uniaxial compression strength and tensile strength. High values of young modulus and corresponding low values of Poison’s ratio were indicating the brittle zones in the reservoir. Brittle-ductilezone identification based on mechanical properties were giving consistent results. Brittle-ductile categorization is done for identification of brittle, less brittle, less ductile and ductile reservoir lithology in each studied well. It was found from the computer-assisted approach and graphical presentation that, there was a highbrittleness in the lower part of the reservoir which is due to highly compressed shale formation. This part of the reservoir could be a good candidate for hydraulic fracturing if it satisfies all other constraints for a prospective reservoir.en_US
dc.language.isoen_USen_US
dc.publisherInstitute of Physicsen_US
dc.subjectNatural Scienceen_US
dc.subjectBrittlenessen_US
dc.subjectductilityen_US
dc.subjectpetrophysical propertiesen_US
dc.subjectpetrophysical propertiesen_US
dc.subjectPakistanen_US
dc.titleIdentification of brittle and ductile zones in sandstone reservoir usingwell log analysis; a case study, Southern Indus Basin, Pakistanen_US
dc.typeArticleen_US
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