Geological and Engineering Integrated Shale Gas Sweet Spots Evaluation Based on Fuzzy Comprehensive Evaluation Method: A Case Study of Z Shale Gas Field HB Block

• Published in: Energies (Basel) 2022-01, Vol.15 (2), p.602
• Main Authors: Liu, Shiqi, Liu, Yuyang, Zhang, Xiaowei, Guo, Wei, Kang, Lixia, Yu, Rongze, Sun, Yuping
• Format: Article
• Language: English
• Subjects: comprehensive sweet spot; Deep learning; Energy sources; Engineering; engineering sweet spot; Evaluation; Feasibility studies; fuzzy comprehensive evaluation method; Fuzzy sets; geological sweet spot; Geology; Machine learning; Mathematics; Neural networks; Oil and gas fields; Permeability; Physical properties; Reliability analysis; Shale; Shale gas; Spots
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en15020602

As an emerging unconventional energy resource, shale gas has great resource potential and developmental prospects. The effective evaluation of geological sweet spots (GSS), engineering sweet spots (ESS) and comprehensive sweet spots (CSS) is one of the main factors for a high-yield scale and economic production of shale gas. Sweet spot evaluation involves a comprehensive analysis based on multiple parameters. Conventional evaluation methods consider relatively simple or single factors. Although the main influencing factors are understood, the influence of different factors is as of yet unknown, and a comprehensive consideration may strongly affect the evaluation results. In this paper, the fuzzy mathematics method is introduced for shale gas sweet spot evaluation. With the help of fuzzy mathematics tools, such as membership function, the objective of comprehensive sweet spots evaluation based on multiple parameters is realized. Additionally, the reliability of the evaluation of sweet spots is improved. Firstly, previous research results are used for reference, and the evaluation factor system of geological and engineering sweet spots of shale gas is systematically analyzed and established. Then, the basic principle of the fuzzy comprehensive evaluation method is briefly introduced, and a geological engineering integrated shale gas sweet spots evaluation method, based on the fuzzy comprehensive evaluation method, is designed and implemented. Finally, the data from HB blocks in the Z shale gas field in China are adopted. According to the evaluation results, the modified method is tested. The results show that the method proposed in this paper can synthesize a number of evaluation indices, quickly and effectively evaluate the GSS, ESS and CSS in the target area, and the results have high rationality and accuracy, which can effectively assist in well-pattern deployment and fracture design.