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Velocity, Attenuation, and Microseismic Uncertainty Analysis of the Niobrara and Montney Reservoirs

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서명/저자사항Velocity, Attenuation, and Microseismic Uncertainty Analysis of the Niobrara and Montney Reservoirs.
개인저자Bray, Matthew P.
단체저자명Colorado School of Mines. Geophysics.
발행사항[S.l.]: Colorado School of Mines., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항162 p.
기본자료 저록Dissertation Abstracts International 79-10B(E).
Dissertation Abstract International
ISBN9780438079656
학위논문주기Thesis (Ph.D.)--Colorado School of Mines, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Thomas L. Davis.
요약Time-lapse reservoir characterization with surface seismic provides greater spatial information about reservoir physical properties, and delineates reservoir scale changes. Identification of reservoir deformation due to hydraulic fracturing and
요약In Wattenberg Field, the Reservoir Characterization Project (RCP) at the Colorado School of Mines (CSM) and Anadarko Petroleum Corporation (APC) collected time-lapse, multicomponent seismic data in order to characterize the reservoir fracture ch
요약Time-lapse velocity and attenuation results are integrated with image logs, surface microseismic, tracer data, and production information to analyze how faults, joint sets, and well spacing, affect stimulation, early term production, and late te
요약Borehole microseismic is a common tool used to evaluate hydraulic stimulation. A challenge in microseismic monitoring is quantification of survey acquisition and processing error, and how these errors jointly affect estimated locations. Quantify
요약Processing steps are applied to a downhole microseismic dataset from Pouce Coupe, Alberta, Canada. A probabilistic location approach is implemented to identify the optimal bottom well location based upon known source locations. Probability densi
요약The overall research illustrates that reservoir heterogeneity significantly affects hydraulic stimulation and production. Integration of multi-disciplinary data is vital for reservoir characterization in shale reservoirs. Additionally, this work
일반주제명Geophysics.
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