Pore network characterization of shale reservoirs through state-of-the-art X-ray computed tomography: A review-Reference-Cited by-同舟云学术

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Pore network characterization of shale reservoirs through state-of-the-art X-ray computed tomography: A review

Published:2023-05 Issue: Volume:113 Page:204967
ISSN:2949-9089
Container-title:Gas Science and Engineering
language:en
Short-container-title:Gas Science and Engineering

Author:

Liu Qing,Sun Mengdi,Sun Xianda,Liu Bo,Ostadhassan Mehdi,Huang Wanxia,Chen Xiaoxia,Pan Zhejun

Funder

Natural Science Foundation of Heilongjiang Province

Science and Technology Program of Hunan Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference134 articles.

1. Nano-scale experimental investigation of in-situ wettability and spontaneous imbibition in ultra-tight reservoir rocks;Akbarabadi;Adv. Water Resour.,2017

2. Multiscale imaging of gas storage in shales;Aljamaan;SPE J.,2017

3. Influence of microcracks on flow and storage capacities of gas shales at core scale;Alnoaimi;Transport Porous Media,2019

4. Multimodal imaging and machine learning to enhance microscope images of shale;Anderson;Comput. Geosci.,2020

5. Pore-scale contact angle measurements at reservoir conditions using X-ray microtomography;Andrew;Adv. Water Resour.,2014

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1. Finite element modeling of thermal residual stresses in functionally graded aluminum-matrix composites using X-ray micro-computed tomography;Finite Elements in Analysis and Design;2024-11

2. Quantification of seepage characteristics in shale oil reservoirs: A triple medium model-driven approach;Geoenergy Science and Engineering;2024-11

3. Assessment of micro-structure and flow entrapment in Indian Gondwana shale reservoir using digital rock analysis;Marine and Petroleum Geology;2024-11

4. Risk assessment of high maturity lacustrine shale oil reservoir based on pore-fracture connectivity and decane accessibility, Ordos Basin (China);Marine and Petroleum Geology;2024-10

5. Identification and parameter characterization of pores and fractures in shales based on multi-scale digital core data;Advances in Geo-Energy Research;2024-08-01

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