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  1.  31
    Pore Types, Pore-Network Analysis, and Pore Quantification of the Lacustrine Shale-Hydrocarbon System in the Late Triassic Yanchang Formation in the Southeastern Ordos Basin, China.Robert G. Loucks, Stephen C. Ruppel, Xiangzeng Wang, Lucy Ko, Sheng Peng, Tongwei Zhang, Harry D. Rowe & Patrick Smith - 2017 - Interpretation: SEG 5 (2):SF63-SF79.
    Continental Upper Triassic Yanchang “black shales” in the southeastern Ordos Basin have been proven to be unconventional gas reservoirs. Organic-matter-lean and organic-matter-rich argillaceous mudstones form reservoirs that were deposited in a deeper water lacustrine setting during lake highstands. In the stratified lake, the bottom waters were dysaerobic to anoxic. This low-energy and low-oxygen lake-bottom setting allowed types II and III organic matter to accumulate. Interbedded with the argillaceous mudstones are argillaceous arkosic siltstones deposited by gravity-flow processes. Rock samples from the (...)
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  2.  18
    Controls on Pore Types and Pore-Size Distribution in the Upper Triassic Yanchang Formation, Ordos Basin, China: Implications for Pore-Evolution Models of Lacustrine Mudrocks.Lucy T. Ko, Robert G. Loucks, Kitty L. Milliken, Quansheng Liang, Tongwei Zhang, Xun Sun, Paul C. Hackley, Stephen C. Ruppel & Sheng Peng - 2017 - Interpretation: SEG 5 (2):SF127-SF148.
    Our main objectives are to learn if pore-evolution models developed from marine mudrocks can be directly applied to lacustrine mudrocks, investigate what controls the different pore types and sizes of Chang 7 organic matter -rich argillaceous mudstones of the Upper Triassic Yanchang Formation, and describe the texture, fabric, mineralogy, and thermal maturity variation in the Chang 7 mudstones. Lacustrine mudstones from nine cored wells along a depositional dip in the southeastern Ordos Basin, China, were investigated. Helium porosimetry, nitrogen adsorption, and (...)
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  3.  9
    Application of Instantaneous-Frequency Attribute and Gamma-Ray Wireline Logs in the Delineation of Lithology in Serbin Field, Southeast Texas: A Case Study.Osareni C. Ogiesoba, William A. Ambrose & Robert G. Loucks - 2018 - Interpretation: SEG 6 (4):T1023-T1043.
    Although Serbin field in Southeast Texas was discovered in 1987, lithologic and petrophysical properties in the southeastern part of the field have not been fully evaluated. We have generated instantaneous frequency from 3D seismic data and predicted gamma-ray response volume from seismic attributes. By extracting maps of the instantaneous frequency and gamma-ray response along interpreted horizons, and crossplotting the instantaneous frequency against gamma-ray logs and integrating core data, we generated lithology maps to identify shale-prone zones that stratigraphically trapped hydrocarbons in (...)
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    Investigation of Seismic Attributes, Depositional Environments, and Hydrocarbon Sweet-Spot Distribution in the Serbin Field, Taylor Formation, Southeast Texas.Osareni C. Ogiesoba, William A. Ambrose & Robert G. Loucks - 2019 - Interpretation 7 (1):T49-T66.
    We have conducted seismic-attribute analysis at the Serbin field — in an area straddling Lee, Fayette, and Bastrop Counties and covering approximately [Formula: see text] — using new, reprocessed, 3D seismic data to provide additional understanding of depositional environments and better predict the distribution of hydrocarbon sweet spots. We converted the 3D seismic volume into a log-lithology volume and integrated core data to examine the distribution of lithology and interpret depositional environments. By conducting multiattribute analysis, we predicted resistivity volume and (...)
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    Investigation of Seismic Attributes, Depositional Environments, and Hydrocarbon Sweet-Spot Distribution in the Serbin Field, Taylor Formation, Southeast Texas.Osareni C. Ogiesoba, William A. Ambrose & Robert G. Loucks - 2019 - Interpretation: SEG 7 (1):T49-T66.
    We have conducted seismic-attribute analysis at the Serbin field — in an area straddling Lee, Fayette, and Bastrop Counties and covering approximately [Formula: see text] — using new, reprocessed, 3D seismic data to provide additional understanding of depositional environments and better predict the distribution of hydrocarbon sweet spots. We converted the 3D seismic volume into a log-lithology volume and integrated core data to examine the distribution of lithology and interpret depositional environments. By conducting multiattribute analysis, we predicted resistivity volume and (...)
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