A Novel Continuous Fracture Network Model: Formation Mechanism, Numerical Simulation, and Field Application. (19th April 2022)

• Record Type: Journal Article
• Authors: Guo, Zixi; Zhao, Jinzhou; Sun, Xinhao; Wang, Chengwang; Guo, Dali; Hu, Haoran; Wang, Hongna; Zeng, Qinggang
• Other Names: Fattah Mohammed Academic Editor.
• Is Part Of: Geofluids. Volume 2022(2022)
• Publication Date: 2022-04-19
• Subjects: Hydrogeology -- Periodicals; Sedimentary basins -- Periodicals; Fluids -- Migration -- Periodicals; Groundwater flow -- Periodicals; Geothermal resources -- Periodicals; Fluid dynamics -- Periodicals; Earth -- Crust -- Periodicals; 551.49
• DOI: 10.1155/2022/4026200
• Languages: English
• ISSNs: 1468-8115

Abstract

Abstract : After a shale gas reservoir is fractured, hydraulic fractures interweave with natural fractures to form a fracture network. Numerical simulation based on the continuous fracture network model is a relatively economical and convenient method to predict fracture network morphology and size in the field application. However, some important factors, such as fracture height variation and filtration loss, have not been considered in the past continuous fracture network models. Therefore, this paper is aimed at establishing a novel continuous fracture network model to improve simulation accuracy. Firstly, this paper established a method to judge whether natural fractures develop or not. Then, a novel continuous fracture network model considering fracture height variation and asymmetry, filtration loss, fluid flow, and other key factors was established, and the forward algorithm and inverse algorithm of the model were proposed. At last, this model was applied in a field case to verify accuracy, and the average accuracy is more than 90%. Compared with the traditional Meyer software, the average error of prediction was reduced by 7.86%.