Abstract
Hydraulic fracturing is one of the important measures to increase production of oil and gas reservoirs. Pressure after the assessment of the existing technology is usually divided into direct and indirect diagnosis of hydraulic fracture. The diversity of evaluation results is due to the uncertainty and immaturity of the technology itself. Up to now, we have not found an economical and accurate hydraulic fracture evaluation method in the development and application of fracturing technology. In this paper, the pressure treatment technology after the comprehensive evaluation of boundary conditions is studied. By introducing the support vector regression theory, an evaluation model and a solution for correcting fracturing parameters are proposed. Fracturing parameters include fracture length, fracture height, fracture width, integrated fracturing fluid leakage coefficient, fracture conductivity, fracture closure pressure, and so on. For the optimization of various parameters, objective and scientific comprehensive evaluation results can be obtained by selecting different kernel functions. The results show that the model and method based on support vector machine are effective and practical.
Highlights
With the development and application of fracturing techniques for tight gas reservoirs, there is an urgent need to evaluate methods and techniques for fracturing tight gas reservoirs
This article will study pressure processing technology, comprehensive evaluation of boundary conditions by the support vector machine (SVM) theory is introduced to calculate the return of the fracturing parameters of the evaluation model and method, including fracture length, fracture height, fracture width, comprehensive fracturing fluid leak off coefficient, fracture diverting capacity, fracture closure pressure, etc., optimization of various parameters, choice of different kernel functions, in order to obtain objective and scientific comprehensive evaluation results
Support vector machine method is based on the evaluation of the object's own impact factors for regression prediction
Summary
With the development and application of fracturing techniques for tight gas reservoirs, there is an urgent need to evaluate methods and techniques for fracturing tight gas reservoirs. Indirect diagnosis techniques generally include real-time monitoring and interpretation of fracturing, fracturing simulation, well test analysis of hydraulic fractures, fitting of post-pressure production history, and post-pressure drop analysis, etc. These technologies can be expensive, complex, or both. This article will study pressure processing technology, comprehensive evaluation of boundary conditions by the support vector machine (SVM) theory is introduced to calculate the return of the fracturing parameters of the evaluation model and method, including fracture length, fracture height, fracture width, comprehensive fracturing fluid leak off coefficient, fracture diverting capacity, fracture closure pressure, etc., optimization of various parameters, choice of different kernel functions, in order to obtain objective and scientific comprehensive evaluation results
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