digital rock
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2022 ◽  
Author(s):  
Omar Alfarisi ◽  
Djamel Ouzzane ◽  
Mohamed Sassi ◽  
TieJun Zhang

<p><a></a>Each grid block in a 3D geological model requires a rock type that represents all physical and chemical properties of that block. The properties that classify rock types are lithology, permeability, and capillary pressure. Scientists and engineers determined these properties using conventional laboratory measurements, which embedded destructive methods to the sample or altered some of its properties (i.e., wettability, permeability, and porosity) because the measurements process includes sample crushing, fluid flow, or fluid saturation. Lately, Digital Rock Physics (DRT) has emerged to quantify these properties from micro-Computerized Tomography (uCT) and Magnetic Resonance Imaging (MRI) images. However, the literature did not attempt rock typing in a wholly digital context. We propose performing Digital Rock Typing (DRT) by: (1) integrating the latest DRP advances in a novel process that honors digital rock properties determination, while; (2) digitalizing the latest rock typing approaches in carbonate, and (3) introducing a novel carbonate rock typing process that utilizes computer vision capabilities to provide more insight about the heterogeneous carbonate rock texture.<br></p>


2022 ◽  
Author(s):  
Omar Alfarisi ◽  
Djamel Ouzzane ◽  
Mohamed Sassi ◽  
TieJun Zhang

<p><a></a>Each grid block in a 3D geological model requires a rock type that represents all physical and chemical properties of that block. The properties that classify rock types are lithology, permeability, and capillary pressure. Scientists and engineers determined these properties using conventional laboratory measurements, which embedded destructive methods to the sample or altered some of its properties (i.e., wettability, permeability, and porosity) because the measurements process includes sample crushing, fluid flow, or fluid saturation. Lately, Digital Rock Physics (DRT) has emerged to quantify these properties from micro-Computerized Tomography (uCT) and Magnetic Resonance Imaging (MRI) images. However, the literature did not attempt rock typing in a wholly digital context. We propose performing Digital Rock Typing (DRT) by: (1) integrating the latest DRP advances in a novel process that honors digital rock properties determination, while; (2) digitalizing the latest rock typing approaches in carbonate, and (3) introducing a novel carbonate rock typing process that utilizes computer vision capabilities to provide more insight about the heterogeneous carbonate rock texture.<br></p>


Data in Brief ◽  
2022 ◽  
pp. 107797
Author(s):  
Javier E. Santos ◽  
Michael J. Pyrcz ◽  
Maša Prodanović

2021 ◽  
Vol 147 (6) ◽  
pp. 04021050
Author(s):  
Huaimin Dong ◽  
Likai Cui ◽  
Linjun Yu ◽  
Liyuan Song ◽  
Jianmeng Sun ◽  
...  

Geothermics ◽  
2021 ◽  
Vol 97 ◽  
pp. 102267
Author(s):  
Du Dongxing ◽  
Zhang Xu ◽  
Wan Chunhao ◽  
Liu Jiaqi ◽  
Shen Yinjie ◽  
...  

2021 ◽  
Vol 157 ◽  
pp. 104939
Author(s):  
Zhiyu Hou ◽  
Danping Cao ◽  
Siqi Ji ◽  
Rongang Cui ◽  
Qiang Liu

Author(s):  
Rail Kadyrov ◽  
Danis Nurgaliev ◽  
Erik H. Saenger ◽  
Martin Balcewicz ◽  
Rezit Minebaev ◽  
...  

2021 ◽  
Author(s):  
Kazuki Sawayama ◽  
Takuya Ishibashi ◽  
Fei Jiang ◽  
Tatsunori Ikeda ◽  
Takeshi Tsuji ◽  
...  

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