Results 171 to 180 of about 144,025 (249)
Fluid-rock interaction processes in ancient subduction zones evidenced by the high-pressure-low-temperature Acatlán complex, Mexico. [PDF]
Sci RepGutiérrez-Aguilar F +3 more
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Integrating 3D structural modelling and seismic interpretation to optimize hydrocarbon development in the Early Miocene Nukhul Formation, October Oil Field, Gulf of Suez, Egypt. [PDF]
Sci RepKhattab MA +3 more
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Controls on Development and Classification of Gypsum Mold-Vuggy Reservoirs: A Case Study from the Majiagou Formation, Jingbian Gas Field. [PDF]
ACS OmegaHe J +11 more
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Petrophysical Facies Classification Based on Fuzzy Inference Networks
Advanced Materials Research, 2013Aiming at the petrophysical facies recognition, a novel identification method based on the weighted fuzzy reasoning networks is proposed in the paper. First, the types and indicators are obtained from core analysis data and the results given by experts, and then the standard patterning database of reservoir petrophysical facies is established. Secondly,
Jun Hui Pan, Hui Wang, Xiao Gang Yang
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Petrophysical facies of the ordovician red river formation, Williston basin, USA
Carbonates and Evaporites, 2001A petrophysical facies is a mappable rock unit of similar petrophysical characteristics, imparted by the depositional and diagenetic environment. Capillary-pressure curves are the basis for delineating a petrophysical facies.
Lillian Hess Tanguay, Gerald M. Friedman
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SPE Low Perm Symposium, 2016
Abstract An integrated multivariate statistics procedure was adopted for the accurate Lithofacies classification prediction to be incorporated with well log attributes into core permeability modeling. Logistic Boosting Regression and Generalized Linear Modeling were adopted for Lithofacies Classification and core permeability estimation,
W. Al-Mudhafar
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Abstract An integrated multivariate statistics procedure was adopted for the accurate Lithofacies classification prediction to be incorporated with well log attributes into core permeability modeling. Logistic Boosting Regression and Generalized Linear Modeling were adopted for Lithofacies Classification and core permeability estimation,
W. Al-Mudhafar
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Interpretation, 2017
Understanding the linkages between grain mineralogy and diagenetic and sedimentary processes enhances the reliability of petrophysical models to predict reservoir deliverability from permeability. Petrographic data within well-defined depositional facies reveal the diagenetic evolution of porosity-permeability relationships.
German D. Merletti +6 more
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Understanding the linkages between grain mineralogy and diagenetic and sedimentary processes enhances the reliability of petrophysical models to predict reservoir deliverability from permeability. Petrographic data within well-defined depositional facies reveal the diagenetic evolution of porosity-permeability relationships.
German D. Merletti +6 more
openaire +2 more sources
Bayesian estimation of petrophysical facies and their applications to reservoir characterization
SEG Technical Program Expanded Abstracts 2017, 2017John Pendrel +2 more
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SEG Technical Program Expanded Abstracts 2020, 2020
Dowan Kim, Joongmoo Byun
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Dowan Kim, Joongmoo Byun
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Petroleum science and technology, 2023
The volcanic rocks in the deep depth of Nanpu sag is the main formation of oil and gas enrichment. It has huge resource potential and prospects for exploration and development.
Qiuli Yin +3 more
semanticscholar +1 more source
The volcanic rocks in the deep depth of Nanpu sag is the main formation of oil and gas enrichment. It has huge resource potential and prospects for exploration and development.
Qiuli Yin +3 more
semanticscholar +1 more source