[HTML][HTML] Predicting permeability from 3D rock images based on CNN with physical information

P Tang, D Zhang, H Li - Journal of Hydrology, 2022 - Elsevier
Permeability is one of the most important properties in subsurface flow problems, which
measures the ability of rocks to transmit fluid. Normally, permeability is determined through …

Data-driven machine learning approaches for precise lithofacies identification in complex geological environments

M Ali, P Zhu, M Huolin, R Jiang, H Zhang… - Geo-spatial …, 2024 - Taylor & Francis
Reservoir characterization is a vital task within the oil and gas industry, with the identification
of lithofacies in subsurface formations being a fundamental aspect of this process. However …

Data-driven in-situ geomechanical characterization in shale reservoirs

H Li, J He, S Misra - SPE Annual Technical Conference and Exhibition …, 2018 - onepetro.org
Compressional and shear travel time logs (DTC and DTS) acquired using sonic logging
tools are crucial for subsurface geomechanical characterization. In this study, 13 'easy-to …

Petrophysical characteristics and log identification of lacustrine shale lithofacies: A case study of the first member of Qingshankou Formation in the Songliao Basin …

B Liu, X Zhao, X Fu, B Yuan, L Bai, Y Zhang… - Interpretation, 2020 - library.seg.org
As an unconventional resource, shale reservoirs recently have attracted considerable
attention in the petroleum industry. Shale plays are highly heterogenous vertically and …

Data-driven in-situ sonic-log synthesis in shale reservoirs for geomechanical characterization

J He, H Li, S Misra - SPE Reservoir Evaluation & Engineering, 2019 - onepetro.org
Summary Compressional–travel–time (DTC) and shear–travel–time (DTS) logs acquired
using sonic–logging tools are crucial for subsurface geomechanical characterization. In this …

Electro-facies classification based on core and well-log data

R Al Hasan, MH Saberi, MA Riahi… - Journal of Petroleum …, 2023 - Springer
Facies studies represent a key element of reservoir characterization. In practice, this can be
done by making use of core and petrophysical data. The high cost and difficulties of drilling …

[PDF][PDF] 基于随钻测压流度的地层渗透率评价方法及产能预测

时新磊, 崔云江, 许万坤, 张建升, 关叶钦 - PETROLEUM …, 2020 - cpedm.com
基于随钻测压过程中流度的测量机理, 通过大量的测压流度数据分析发现,
水基钻井液钻井条件下(水基钻井液滤液) 的随钻测压流度与钻井液滤液黏度乘积无限接近于相 …

[PDF][PDF] Formation permeability evaluation and productivity prediction based on mobility from pressure measurement while drilling

X Shi, Y Cui, W Xu, J Zhang, Y Guan - Petroleum Exploration and …, 2020 - researchgate.net
Based on the measurement mechanism of mobility in pressure measurement while drilling,
through analyzing a large number of mobility data, it is found that under the condition of …

Formation permeability evaluation and productivity prediction based on mobility from pressure measurement while drilling

S Xinlei, CUI Yunjiang, X Wankun, J ZHANG… - Petroleum Exploration …, 2020 - Elsevier
Based on the measurement mechanism of mobility in pressure measurement while drilling,
through analyzing a large number of mobility data, it is found that under the condition of …

Semi-supervised learning–based petrophysical facies division and “Sweet Spot” identification of low-permeability sandstone reservoir

H Fan, X Zhao, X Liang, Q Miao, Y Jin… - Frontiers in Earth …, 2022 - frontiersin.org
The identification of the “sweet spot” of low-permeability sandstone reservoirs is a basic
research topic in the exploration and development of oil and gas fields. Lithology …