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Petroelastic and geomechanical classification of lithologic facies in the Marcellus Shale

Dario Grana, Kristen Schlanser and Erin Campbell-Stone
Petroelastic and geomechanical classification of lithologic facies in the Marcellus Shale (in Geologic, geophysical, and petrophysical interpretation of core data and well logs, Anonymous)
Interpretation (Tulsa) (February 2015) 3 (1): SA51-SA63

Abstract

Log-facies classification at the well location allows determination of the number of facies, the facies definition, and the correlation between facies and rock properties along the well profile. In unconventional reservoirs, because of the necessity for hydraulic fracturing in shale gas and shale oil reservoirs, facies classification should account for petroelastic and geomechanical properties. We developed a facies classification methodology based on the expectation-maximization algorithm, a statistical method that allows finding the most likely facies classification and the associated probability distribution, given the set of geophysical measurements in the borehole. We applied the proposed workflow to a complete set of well logs from the Marcellus shale and developed the corresponding facies classification from log properties measured and computed in three different domains: petrophysics, rock physics, and geomechanics. In the preliminary well-log and rock-physics analysis, we identify three main lithofacies: limestone, shale, and sandstone. The application of the classification method provided the vertical sequence of the three lithofacies and their pointwise probability of occurrence. A sensitivity analysis was finally evaluated to investigate the impact of the number of input variables on the classification and the effects of cementation and kerogen.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 3
Serial Issue: 1
Title: Petroelastic and geomechanical classification of lithologic facies in the Marcellus Shale
Title: Geologic, geophysical, and petrophysical interpretation of core data and well logs
Affiliation: University of Wyoming, School of Energy Resources, Department of Geology and Geophysics, Department of Chemical and Petroleum Engineering, Laramie, WY, United States
Pages: SA51-SA63
Published: 201502
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 25
Accession Number: 2015-034266
Categories: Sedimentary petrology
Document Type: Serial
Bibliographic Level: Analytic
Annotation: Includes appendix
Illustration Description: illus. incl. 2 tables
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 201516
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