Study On Evaluation Method Of Coalbed Methane Fracturing Technology

Based on the complicated geological conditions of the coalbed methane in China, the fracturing operation is the necessary measures if we want to get considerable economic benefit. How to accurately predict the postfracture response of coalbed methane well, and then optimize the fracturing parameters becomes the core issue to be solved in improving fracturing effectiveness.The thesis researchs the hot issues including postfracture response prediction and parameter optimization for coalbed methane well based on the actual situation of three blocks. Specific as follows:Firstly, this thesis analysis the production situation of 611 Wells, the 1186 floors in the gas fields of Eastern Ordos. With the least square algorithm, the thesis proposes a new method for calculating the contribution and production of each coal and solves a long-standing problem of coalbed methane exploration and development.Secondly, this thesis optimizes the important parameters which influence the production with some theories such as grey relation analysis, fuzzy clustering analysis and correlation analysis.Thirdly, the thesis establishs the model to predict the postfracture response using neural network technology, then programs software system. And the accuracy of fitting results reachs 94.20%, and the accuracy of prediction results reachs 81.40% in the practical applications.Fourthly, according to expert decision theory, the thesis sets up the pattern to optimize the construction parameters, and then programs software system. And the thesis reveals the potential and the improvement direction of the coal seam through the concrete application.Finally, the above results constitute the CBM fracturing technology evaluation method system, and on this basis, the thesis preliminary optimizes the coal seam fracturing technology of each block.