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dc.contributor.authorBhardwaj, Shishir-
dc.date.accessioned2014-09-30T10:39:21Z-
dc.date.available2014-09-30T10:39:21Z-
dc.date.issued2012-
dc.identifierM.Techen_US
dc.identifier.urihttp://hdl.handle.net/123456789/3220-
dc.guideSingh, V. N.-
dc.description.abstractThin shaly sand beds are capable of yielding a reasonable amount of hydrocarbon if discovered and evaluated. Regrettably, most thin beds are usually bypassed if direct log interpretation techniques are applied in their evaluation due to their low vertical resolutions and ability to only characterize an average of multiple beds which often result to a significant under estimation of oil and gas in the sedimentary unit. The main goal of this thesis is to give a better and less uncertain estimate of sand fraction and porosity in a challenging shaly sand reservoir. In the present work, this is accomplished through study of Gamma ray log based on the methods suggested by Thomas — Stieber. The Thomas — Stieber approach for thin bed analysis is reviewed and discussed. An example is used to demonstrate the usefulness of the method for evaluating the porosity of sand beds and net sand thickness containing laminated and or/dispersed shale using synthetic data. The Thomas Stieber equations considering different shale distribution types viz, dispersed, laminated, structural and their combination, for sand-shale sequence has been employed in calculating. parameters such as total porosity, sand porosity, shale and shale fraction. A computer program based on the published literature has been developed in MATLAB to generate a set of modelled squared logs for gamma ray, sand fraction curve and total porosity curve. These curves have been employed to estimate different properties of shaly sand sequences.en_US
dc.language.isoenen_US
dc.subjectTHOMAS-STIEBER ANALYSISen_US
dc.subjectHYDROCARBANen_US
dc.subjectOILen_US
dc.subjectEARTH SCIENCE ENGINEERINGen_US
dc.titleA COMPUTER PROGRAM FOR THOMAS-STIEBER ANALYSIS OF SHALY SAND BEDSen_US
dc.typeM.Tech Dessertationen_US
dc.accession.numberG21396en_US
Appears in Collections:MASTERS' THESES (Earth Sci.)

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