Comparative Study on Artificial Fracture Modeling Schemes in Tight Reservoirs—For Enhancing the Production Efficiency of Tight Oil and Gas

Yonggang Wang, Xuejuan Zhang (), Jie Zhang, Yali Zeng, Lei Zhang, Han Wang and Ruolin Li
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Yonggang Wang: Research Institute of Exploration and Development, Changqing Oilfield Company, PetroChina, Xi’an 710018, China
Xuejuan Zhang: College of Petroleum and Natural Gas Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
Jie Zhang: Research Institute of Exploration and Development, Changqing Oilfield Company, PetroChina, Xi’an 710018, China
Yali Zeng: Research Institute of Exploration and Development, Changqing Oilfield Company, PetroChina, Xi’an 710018, China
Lei Zhang: College of Petroleum and Natural Gas Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
Han Wang: College of Petroleum and Natural Gas Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
Ruolin Li: College of Petroleum and Natural Gas Engineering, Chongqing University of Science and Technology, Chongqing 401331, China

Energies, 2024, vol. 17, issue 20, 1-15

Abstract: In order to improve the reliability of the deployment of production schemes after artificial fracturing in tight reservoirs, it is urgent to carry out research on the description of fractures after artificial fracturing. In this study, taking the Chang 6 1 oil formation group in the Wangyao South area of Ordos Basin as an example, three different fracture modeling schemes are used to establish the geological model of fractured reservoirs, and the fitting ratios of the respective reservoir models are calculated by using the method of reservoir numerical simulation of the initial fitting, and the optimal fractured reservoir modeling scheme is screened in the end. The research area adopts three types of fracture prediction results based on FMI fracture interpretation data, seismic fracture prediction data, and rock mechanics artificial fracturing simulation data. On this basis, geological models of fractured reservoirs are established, respectively. The initial fitting of reservoir values of each geological model are compared, and the highest initial fitting rate of reservoir values is 88.44%, which is based on rock mechanics artificial fracturing simulation data. However, the initial fitting rate of the reservoir model was the lowest at 75.76%, which was established based on the fracture random modeling results of FMl fracture interpretation data. Under the constraints of seismic geostress prediction results and microseismic monitoring data, the simulation results of rock mechanics artificial fracturing fracture are used as the basis, on which the geological model of artificially fractured reservoirs is thus established, and this scheme can more realistically characterize the characteristics of fractured reservoirs after artificial fracturing in the study area.

Keywords: tight reservoir; artificial fracturing; fracture prediction; reservoir modeling (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: 2024
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