This book starts from the perspective of "geological engineering integration" in coalbed methane development and conducts a detailed analysis and evaluation of the geological conditions (including regional geology and resource geology) and mining conditions (including reservoir recoverability and modifiability) that affect coalbed methane development. It establishes the optimal evaluation parameters for coalbed methane target areas and constructs a parameter system for optimal evaluation of coalbed methane target areas. On this basis, a fuzzy pattern recognition model for optimizing coalbed methane target areas was established, and the application of fuzzy recognition for optimizing coalbed methane target areas was carried out. The current research on coalbed methane selection evaluation is based on Analytic Hierarchy Process (AHP) and fuzzy mathematics theory. Although the above methods have achieved good application results, it is difficult to avoid the influence of subjective factors when using methods such as expert scoring or the Analytic Hierarchy Process (AHP) pairwise comparison to determine the weights of different evaluation parameters. Due to differences in subjective consciousness and knowledge reserves, different researchers have different understandings of the importance of the same evaluation index, resulting in differences in the assigned weights. Different evaluation results may be obtained in the same coalbed methane block. Therefore, scientifically reasonable empowerment is a huge challenge for both researchers and ordinary users. The fuzzy pattern recognition model for optimizing coalbed methane target areas proposed in this study does not involve parameter weighting, which corrects the uncertainty of evaluation results caused by parameter weighting in the Analytic Hierarchy Process and Multi-level Fuzzy Comprehensive Evaluation methods; At the same time, there is no need to construct pairwise comparison judgment matrices, making the calculation process simpler and improving the accuracy of the evaluation results.

Provides optimal evaluation parameters for coalbed methane target areas using a fuzzy pattern recognition model Provides wide applicability in other unconventional oil and gas resource exploration and development Includes step by step calculation process and case studies to help readers quickly learn and apply

Autorentext

Gaofeng Liu is a professor at the School of Resources and Environment, Henan Polytechnic University, Jiaozuo, China. He has taught various subjects such as Gas geology, Mine geology, engaged in research on coalbed methane exploration and development, published more than 60 papers in the coal microstructure characterisation, coalbed methane adsorption, desorption, diffusion, and seepage research, presided over 2 projects funded by the National Natural Science Foundation of China, and received 4 provincial and ministerial-level awards. Zhen Zhang is a lecturer at the School of Safety and Emergency Management Engineering, Taiyuan University of Science and Technology, Taiyuan, China. He is engaged in research on coalbed methane exploration and development, has published more than 20 papers on coal microstructure characterisation, coalbed methane adsorption, desorption, diffusion, and seepage research, and has received a second prize for green mining technology progress. Huan Liu is currently a PhD candidate at the School of Resources and Environment, Henan Polytechnic University. He is engaged in research on coalbed methane geology and development, and has achieved original results in testing and characterising coal microstructure and in coalbed methane migration research. He has published more than 10 papers and received a second prize for green mining technology progress. Dr Ping Chang is currently a Senior Lecturer in Mining Engineering at the Western Australian School of Mines, Curtin University, Australia. He has published over 80 peer-reviewed journal articles, with research focusing on mining-induced particulate control, coal dust characterisation, and the application of computational fluid dynamics to mining safety. He serves on the editorial board of the International Journal of Coal Science and Technology. His expertise also encompasses mine ventilation and the integration of intelligent systems in coalbed methane (CBM) development. Dr Chang is an active member of the Australasian Institute of Mining and Metallurgy (AusIMM), the Mine Ventilation Society Australia (MVSA), and the Society of Mining Professors (SOMP). Dr George Barakos is currently a Senior Lecturer in mining engineering at the Western Australian School of Mines of Curtin University. Prior to this role, he had been a research associate at Technical University Bergakademie Freiberg in Germany. He has published numerous high-quality journal applications in the mineral resources discipline. Dr Barakos also has significant experience not only in the academia but also in the mining industry, having worked as a consulting engineer in mining operations worldwide for several years

Inhalt

Introduction.- Parameters and System of Fuzzy Pattern Recognition for Coalbed Methane Target Selection.- Methodology of Fuzzy Pattern Recognition for Coalbed Methane Target Selection.- Verification of Fuzzy Pattern Recognition for Coalbed Methane Target Selection.- Application of Fuzzy Pattern Recognition for Coalbed Methane Target Selection.- Software Development of Fuzzy Pattern Recognition for Coalbed Methane Target Selection.