Numerical Simulation of Fracture Propagation of Multi-Cluster Perforation and Fracturing in Horizontal Wells: A Case Study of Mahu Oilfield

Baocheng Wu, Xinfang Ma, Jianmin Li, Gang Tian, Dong Xiong, Yushi Zou and Shicheng Zhang
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Baocheng Wu: Engineering Technology Research Institute, PetroChina Xinjiang Oilfield Company, Karamay 834000, China
Xinfang Ma: College of Petroleum Engineering, China University of Petroleum-Beijing, Beijing 102249, China
Jianmin Li: Engineering Technology Research Institute, PetroChina Xinjiang Oilfield Company, Karamay 834000, China
Gang Tian: Engineering Technology Research Institute, PetroChina Xinjiang Oilfield Company, Karamay 834000, China
Dong Xiong: College of Petroleum Engineering, China University of Petroleum-Beijing, Beijing 102249, China
Yushi Zou: College of Petroleum Engineering, China University of Petroleum-Beijing, Beijing 102249, China
Shicheng Zhang: College of Petroleum Engineering, China University of Petroleum-Beijing, Beijing 102249, China

Energies, 2022, vol. 15, issue 15, 1-16

Abstract: Mahu oilfield is a typical tight gravel oil reservoir. At present, long-stage multi-cluster fracturing is widely used for reservoir stimulation, and multiple-clusters treatment is realized through cluster perforation. Field monitoring indicates that not all perforation clusters produce hydraulic fractures in the fracturing process, and each cluster of hydraulic fractures in the section will expand unevenly. The unbalanced expansion of multiple clusters of fractures in the section seriously affects the effect of reservoir reconstruction of horizontal wells. Aiming at the long-stage multi-cluster fracturing of horizontal wells, a multi-fracture propagation calculation model considering wellbore flow, performance friction, different fracture criteria at the tip, and the interaction stress among multiple fractures is established in this paper. In order to improve the calculation efficiency, an explicit Runge Kutta Legendre algorithm is proposed to solve the structural mesh, and the solution program is compiled, which provides a basis for the theoretical analysis and rapid solution of the mechanism of multiple fracture growth. Finally, taking Mahu oil field as an example, we calculate the multi fracture propagation and flow distribution under different geological conditions, perforation conditions, and construction parameters. The research results will help to improve the fracturing efficiency of long-stage multi-cluster fractures.

Keywords: conglomerate reservoirs; multi-fracture; competitive propagation; flow distribution; numerical simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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