Zobrazeno 1 - 10
of 1 067
pro vyhledávání: '"Digital Rock"'
Autor:
Haitao LI, Qingxin QI, Weisheng DU, Haikuan ZHANG, Guanyu YANG, Shouguang WANG, Xiaoshan SHI, Chunyuan LI, Chunyang CUI, Weiyu ZHENG, Jianwei ZHENG, Tuan HE, Wei ZHU
Publikováno v:
Meitan kexue jishu, Vol 52, Iss 9, Pp 150-161 (2024)
The observability of underground engineering, such as coal mining, is extremely limited, which makes it difficult to obtain reliable pre-analysis basis for many complex engineering problems. Especially in face of new engineering environment brought a
Externí odkaz:
https://doaj.org/article/3acc4ee76fdb42a7993afce705aef8a7
Autor:
Wakana Fujita, Michihiko Nakamura, Kentaro Uesugi, Philipp Eichheimer, Marcel Thielmann, Gregor J. Golabek
Publikováno v:
Progress in Earth and Planetary Science, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract The microstructure of realistic fluid–rock systems evolves to minimize the overall interfacial energy, enabling local variations in fluid geometry beyond ideal models. Consequently, the permeability–porosity relationship and fluid distri
Externí odkaz:
https://doaj.org/article/def919fa747b4d0a8c37e200462c8515
Publikováno v:
Case Studies in Thermal Engineering, Vol 61, Iss , Pp 105153- (2024)
Based on digital cores of oil shale obtained from high-temperature steam in-situ pyrolysis and micro-CT scanning experiments, the real structures of oil shale after pyrolysis at different temperatures were seamlessly integrated into COMSOL through pr
Externí odkaz:
https://doaj.org/article/e244df03bbc645dfadf98f21363f172d
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 7, Pp 1769-1782 (2024)
Abstract The formulation of an effective development plan, optimizing exploitation efficiency, relies heavily on accurate reservoir characterization. However, existing reservoir classification methodologies, which rely on macroscopic geological obser
Externí odkaz:
https://doaj.org/article/330bd4ccf31148fe90b4bd9a8aad95b4
Autor:
Yuzhu Wang
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 7, Pp 2055-2071 (2024)
Abstract Rock typing plays a crucial role in describing the heterogeneity of the reservoir. Most of the conventional rock typing methods are implemented to classify the target reservoir into various rock types based on various petrophysical propertie
Externí odkaz:
https://doaj.org/article/2c962109fd424c59b62991f201f4f6a5
Publikováno v:
工程科学学报, Vol 46, Iss 3, Pp 556-566 (2024)
Shale oil reservoirs are typical unconventional oil and gas reservoirs with complex mineral composition. The types and distribution of mineral particles have a considerable effect on hydraulic fracture propagation in shale oil reservoirs. The researc
Externí odkaz:
https://doaj.org/article/826ce38ab8cf4b64b489d154d20d6a2e
Autor:
Indrajeet Kumar, Anugrah Singh
Publikováno v:
Applied Computing and Geosciences, Vol 24, Iss , Pp 100202- (2024)
The digital reconstruction of reservoir rock or porous media is important as it enables us to visualize and explore their real internal structures. The reservoir rocks (such as sandstone and carbonate) contain both spatial and temporal characteristic
Externí odkaz:
https://doaj.org/article/f6966cd023cd4f2791333b4c0805c7f2
Autor:
Alireza Jani, Hamid Zafari Dehkohneh, Saeed Khajeh Varnamkhasti, Arash Farhadi, Mehdi Bahari Moghadam
Publikováno v:
Journal of Chemical and Petroleum Engineering, Vol 57, Iss 2, Pp 249-285 (2023)
Digital rock technology has emerged as a powerful tool for analyzing reservoir rocks in the petroleum industry. Technically, Digital Rock Physics (DRP) is an effective method for determining reservoir rock properties. The article reviews the history
Externí odkaz:
https://doaj.org/article/3e9c99f8b44844ef8dd82d294d43421f
Publikováno v:
Artificial Intelligence in Geosciences, Vol 4, Iss , Pp 199-208 (2023)
In recent years, convolutional neural networks (CNNs) have demonstrated their effectiveness in predicting bulk parameters, such as effective diffusion, directly from pore-space geometries. CNNs offer significant computational advantages over traditio
Externí odkaz:
https://doaj.org/article/0b1876a9a73e407786ec3f4ff4310046
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7509 (2024)
Several numerical simulations of fluid flow were performed using the Lattice Boltzmann method and image processing techniques to estimate the effective properties of 2-D porous rocks. The effective properties evaluated were the physical characteristi
Externí odkaz:
https://doaj.org/article/a68b65d04cc74815880cceaef9168ca9