Construction of pore network model based on computational geometry

• Autorzy: Niu Wenjie , Zhao Yuankun , Song Xinmeng , Yu Zhiyan , Liu Yu , Gong Yu

Identyfikatory

DOI

10.1007/s11600-023-01027-2

• Języki publikacji: EN

Abstrakty

EN

The digital core and pore network model (PNM) are the basis of studying porous media. At present, the voxel-based maximal ball (MB) method has been widely used in the construction of PNM. However, due to the dependence on discrete data and the fuzziness of size definition, the PNM by using this method may not be accurate. The construction of PNM is essentially a geometric problem. Therefore, a computational geometry method was proposed in this paper to construct the PNM. A grid-based core surface model was constructed by using the moving cubes (MC) algorithm, the maximal inscribed ball of the grid space was extracted by using the computational geometry method, and a PNM was built by judging 12 types of dependency relationships of the master and servant spheres in the inscribed ball. Finally, combined with Berea sandstone, the physical parameters of cores obtained by the proposed method and the MB method were compared. The throat length results show that the proposed algorithm has improved the defect of small throat length when the MB method is used to partition core pore space. Meanwhile, the results of other parameters tend to be consistent, which proves the reliability of the proposed algorithm. Besides, by comparing the seepage simulation results of the two methods with the physical experiments, it was proved that the permeability calculated by the method in this paper is closer to the measured value of the physical experiment than that by the MB method.

Słowa kluczowe

EN

digital core; computational geometry; pore network model; multi morphological division; maximal inscribed ball

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2023
• Tom: Vol. 71, no. 5
• Strony: 2197--2216
• Opis fizyczny: Bibliogr. 52 poz., rys., tab.

Twórcy

autor

Niu Wenjie

• School of Mechanical and Electrical Engineering, China University of Petroleum, Changjiang West Road, Qingdao 266580, Shandong, China

autor

Zhao Yuankun

• School of Mechanical and Electrical Engineering, China University of Petroleum, Changjiang West Road, Qingdao 266580, Shandong, China

autor

Song Xinmeng

• School of Mechanical and Electrical Engineering, China University of Petroleum, Changjiang West Road, Qingdao 266580, Shandong, China

autor

Yu Zhiyan

• School of Mechanical and Electrical Engineering, China University of Petroleum, Changjiang West Road, Qingdao 266580, Shandong, China

autor

Liu Yu

• School of Mechanical and Electrical Engineering, China University of Petroleum, Changjiang West Road, Qingdao 266580, Shandong, China

autor

Gong Yu

• School of Mechanical and Electrical Engineering, China University of Petroleum, Changjiang West Road, Qingdao 266580, Shandong, China

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).