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A Comprehensive Review of Digital Rock Physics: From Tomographic Images to Pore Network Modeling | ||
| Chemical Process Design | ||
| دوره 2، شماره 1، شهریور 2023، صفحه 6-30 اصل مقاله (2.97 M) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22111/cpd.2023.44680.1018 | ||
| نویسندگان | ||
| Hassan Behbahani1؛ Reza Azin* 2؛ Shahriar Osfouri1 | ||
| 1Department of Chemical Engineering, Faculty of Petroleum, Gas, and Petrochemical Engineering, Persian Gulf University, Bushehr, Iran | ||
| 2Department of Petroleum Engineering, Faculty of Pettoleum, Gas and Petrochemical Engineering, Persian Gulf University | ||
| چکیده | ||
| The growth of hydrocarbon resources dramatically influences the energy market's future. Digital Rock Physics (DRP) is a scientifically accepted approach for evaluating reservoirs' rock qualities. In theory, knowing the geographical distribution of the linked pore space enables one to anticipate the characteristics of a rock sample. But upscaling predictions systematically hasn't been possible yet due to restrictions on unique microscopic resolution and approximated measurements. Getting information about the structure through tomographic pictures of porous materials is an essential part of porous media investigation. The ability to extract pore networks is especially beneficial because it allows for pore network modeling simulation studies, which can also be helpful for various tasks ranging from modeling transportation characteristics to predicting the effectiveness of the whole equipment. This paper deals with a comprehensive overview of the importance, steps and methods of simulating the porous medium using pore network modeling and all their necessary prerequisites. For this purpose, instead of using continuum-based modeling it has been tried to enter in the pore scale and review the steps of modeling that happen in that according to image-based methods mentioned by previous researchers, which are very useful for modeling complex geological materials. | ||
| کلیدواژه‌ها | ||
| Pore Network Modeling؛ Digital Rock Physics؛ Porous Media؛ Reconstruction Algorithms؛ Open PNM | ||
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آمار تعداد مشاهده مقاله: 53 تعداد دریافت فایل اصل مقاله: 68 |
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