Journal of Intelligent Computing and MathematicsOpen Access

Journal of Intelligent Computing and Mathematics[JICM] is an international peer-reviewed journal that publishes original and high-quality research papers in all related areas. All papers published will be open access to all readers. To build a platform for scientific research and academic exchange for scholars, focusing on the development and research, introducing worldwide research, theory and practice, and promoting international exchanges.

ISSN: N/A (Print)
Frequency: Bimonthly
ISSN: 2771-9952 (Online)
Website: https://doi.org/10.55571/jicm
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Research on the Influence of Shale Reservoir Depth on Fracture Characteristics Based on Xsite

DOI:https://doi.org/10.55571/jicm.2024.01029
Authors:Guozhou Qiu, Jing Li
Affiliation:School of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao 266580, China
Information:Journal of Intelligent Computing and Mathematics, Vol.3, No.1, pp 94-97. (Publication Date: 2 February 2024)
Abstract:The exploration and development of shale reservoir is faced with both opportunities and challenges, especially the mechanism of influence of shale reservoir depth on hydraulic fracture characteristics is unclear. In this paper, by means of Xsite simulation, four stress levels are set to reflect the depth change from the side, and the influence of depth change on the hydraulic fracture characteristics of shale reservoir is studied. The results reveal a phenomenon: in the low stress environment, the fracture network can be effectively constructed, showing a more spacious space structure; In high-stress environments, the propagation direction of hydraulic fractures is precisely controlled, and these fractures can communicate more closely with the bedding surface. It is worth noting that in the low stress environment, the tensile fracture has a large area and forms a broad fracture network. In contrast, in high-stress environments, shear fractures dominate and their area increases significantly. In addition, the fracture volume is larger under low stress environment, while the total fracture area is more significant under high stress environment. This discovery has far-reaching significance for the formation of complex fracture networks in shale reservoirs, emphasizes the importance of making full use of shale multilayer characteristics, and provides rich and profound theoretical guidance for engineering practice.
Keywords:Shale; Depth, stress level, fracture characteristics, Xsite discrete lattice method
Cite This Article:Qiu G.Z. and Li J. (2024). Research on the Influence of Shale Reservoir Depth on Fracture Characteristics Based on Xsite. Journal of Intelligent Computing and Mathematics, Vol.3, No.1, pp 94-97. https://doi.org/10.55571/jicm.2024.01029