Results 181 to 190 of about 7,199,039 (242)

An integrated petrophysical and rock physics characterization of the Mangahewa Formation in the Pohokura field, Taranaki Basin. [PDF]

Sci Rep
Hossain S, Rahman N.
europepmc   +1 more source

Modelling effective diffusion for accurate NMR pore size analysis in nano- and microporous rocks. [PDF]

Sci Rep
Fajt M, Machowski G, Puzio B, Krzyżak AT.   +3 more
europepmc   +1 more source

Accurate lithofacies identification in deep shale gas reservoirs via an optimized neural network recognition model, Qiongzhusi Formation, southern Sichuan. [PDF]

Sci Rep
Xiong L, Dong X, Wang T, Feng S, Wei L, Zhou H, Luo S.   +6 more
europepmc   +1 more source

Predicting petrophysical parameters from microscale samples using X-ray imaging

, 2019
Sørensen, Henning Osholm, Bruns, Stefan, Müter, Dirk, Stipp, Susan   +3 more
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Petrophysical parameters of apogranite tectonites

Neftyanoe khozyaystvo - Oil Industry, 2023
Е.N. Trofimova, Е.V. Artyushkina, O.A. Bikova, А.V. Dyakina, А.V. Levin, O.V. Kosolapova, N.V. Novikova, V.R.  Saharova, Y.A. Travina, I.L.  Tsesarzh   +9 more
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Investigating the dependence of shear wave velocity on petrophysical parameters

Journal of Petroleum Science and Engineering, 2016
Abstract The dependence of the shear wave velocity ( V s ) of water-saturated reservoir rocks on petrophysical parameters was investigated. Two general regression neural network (GRNN) models were developed to predict V s of sandstones, shaly sands, and carbonate rocks as a function of the compressional velocity ( V p
Mabkhout Al-Dousari, Ali A. Garrouch, Osamah Al-Omair   +2 more
openaire   +2 more sources

Bayesian linearized rock-physics AVO inversion for petrophysical and pore-geometry parameters in carbonate reservoirs

Geophysics, 2023
Rock-physics amplitude variation with offset (AVO) inversion aims at directly predicting reservoir properties from prestack seismic data. However, carbonate reservoir rocks often develop complex pore structures, which limits the application of ...
Q. Guo, Cong Luo, D. Grana
semanticscholar   +1 more source

CNN-Based Network Application for Petrophysical Parameter Inversion: Sensitivity Analysis of Input–Output Parameters and Network Architecture

IEEE Transactions on Geoscience and Remote Sensing, 2022
Accurate estimation of petrophysical properties (e.g., porosity, clay volume) of subsurface rock from seismic data/elastic properties is significant to reservoir characterization.
Hui Li, Bo Qiu, Yonghao Zhang, Baohai Wu, Yang Wang, Naihao Liu, Jinghuai Gao   +6 more
semanticscholar   +1 more source

Regression Committee Machine and Petrophysical Model Jointly Driven Parameters Prediction From Wireline Logs in Tight Sandstone Reservoirs

IEEE Transactions on Geoscience and Remote Sensing, 2022
Tight sandstone reservoirs are characterized by low porosity, extra-low permeability, and diverse mineral compositions for which previously established log interpretation methods are not suitable.
Yang Bai, M. Tan, Yujiang Shi, Haitao Zhang, Gao-ren Li   +4 more
semanticscholar   +1 more source

Petrophysical parameters affecting the microbit drillability of rock

International Journal of Mining and Mineral Engineering, 2009
Drillability of rock is one of the important parameter to decide the progress and economics of excavation. It depends on number of parameters like ground condition, drill geometry and other rock parameters. The important physico-mechanical properties were determined.
T.N. Singh, Abhishek Jain, Kripamoy Sarkar   +2 more
openaire   +1 more source