Results 131 to 140 of about 952 (171)
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On the Zechstein Copper Shale lithofacies and palaeoenvironments in SW Poland

Geological Society, London, Special Publications, 1986
Summary Microfacies and geochemical studies on the Copper Shale in the Sudetic Foreland of SW Poland show the strong influence of palaeorelief on the distribution of lithofacies. Spatial variability in microlithofacies and lithofacies indicate sedimentation in the following palaeoenvironments: (1) offshore—deep shelf, characterized by the ...
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Lithofacies and Depositional Environments of Monterey Shale, California: ABSTRACT

AAPG Bulletin, 1981
The Miocene Monterey Formation records the deep basinal phase of a major late Tertiary cycle of basin formation and filling associated with wrench fault tectonism. Over much of coastal California, Neogene facies show a progression from Oligocene nonmarine and neritic rocks to Miocene basinal shales and siliceous rocks and then to upper Miocene to ...
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Porosity characteristics of the Devonian Horn River shale, Canada: Insights from lithofacies classification and shale composition

International Journal of Coal Geology, 2015
Abstract This study evaluates pore systems of the Horn River shale in Western Canada Sedimentary Basin from lithofacies classification of core samples to micro-scale pore structure investigation. Samples from the Middle and Upper Devonian Horn River shale sequence were examined by core description, porosity measurement, SEM, and TEM imaging of ion ...
Tian Dong   +4 more
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Quantitative Lithofacies and Biofacies Study of Florena Shale (Permian) of Kansas

AAPG Bulletin, 1955
ABSTRACT The purpose of this study is to test the practicality and scientific potential of an analytical technique designed to produce quantitative data on biofacies and lithofacies changes. The unit selected for analysis is the Florena shale member of the Beattie limestone (Wolfcampian), a fossiliferous unit traceable across Kansas ...
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Lithofacies classification in Barnett Shale using proximal support vector machines

SEG Technical Program Expanded Abstracts 2014, 2014
Summary Classification of different lithofacies and petrotypes is one of the main objectives of modern quantitative seismic interpretation. In this study, we present preliminary results of the application of a proximal support vector machine (PSVM) classification algorithm to seismic data.
Tao Zhao*   +3 more
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Lithofacies influence characteristics on typical shale pore structure

Energy, 2023
Jianguang Wei   +6 more
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The application of improved NeuroEvolution of Augmenting Topologies neural network in Marcellus Shale lithofacies prediction

Computers & Geosciences, 2013
The organic-rich Marcellus Shale was deposited in a foreland basin during Middle Devonian. In terms of mineral composition and organic matter richness, we define seven mudrock lithofacies: three organic-rich lithofacies and four organic-poor lithofacies.
Guochang Wang   +2 more
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Lithofacies prediction of shale based on broadband spectral inversion

Second International Meeting for Applied Geoscience & Energy, 2022
Hongmei Luo   +4 more
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Marcellus Shale Lithofacies Prediction by Multiclass Neural Network Classification in the Appalachian Basin

Mathematical Geosciences, 2012
Marcellus Shale is a rapidly emerging shale-gas play in the Appalachian basin. An important component for successful shale-gas reservoir characterization is to determine lithofacies that are amenable to hydraulic fracture stimulation and contain significant organic-matter and gas concentration.
Guochang Wang, Timothy R. Carr
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3D Lithofacies Modeling to Build Electrofacies of Horn River Shale

Fifth EAGE Conference on Petroleum Geostatistics, 2023
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