Detection And Analysis Of Hydraulic Fracturing Fracture Morphology

The present international situation is that energy exploitation became more and moredifficult, and our country has put more attention to the effective exploitation of low permeabilityoil and gas reservoirs. Hydraulic fracturing is a common method for transformation andincreasing oil and gas production. The theoretical model of bottom cracks、fracturing process、the comprehensively truly and accurately fracturing data is directly related to the evaluation offracture and evaluate recovery.This paper first reviews the present situation of hydraulic fracturing at home and abroad;Proposed a strength design method applied in underground environment for outer cylinder withhigh temperature and pressure. The design process has considered the factors which may bringnegative influences to cylinder; established a structure analysis software for outer cylinder basedon different design model、external pressure、temperature and materials.This article lists the detection method of fracture morphology and the existed three kinds oftwo-dimensional model assumptions for hydraulic fracture used in indirect diagnosed wereanalyzed. According to the known parameters, this paper derived calculation method and theapplication range of the unknown parameters. Deduced the application areas and calculatingmethods of unknown down hole parameters from the known down hole parameters underdifferent assumptions. Combined with field experiments and collecting data to get a one to one36groups fracture geometry and construction pressure curve.In this paper, wavelet de-noising and Neural Networks are applied in the prediction analysisof hydraulic fracture morphology. The Optimized pressure curve of original signal as the input ofneural network, fracture geometry as the output. Multiple effects of different hidden layer nodeslearning algorithm, learning rate and different dimensionless method are considered in networkestablished. After compared the results the neural network is simulated by MATLAB, and theexample analysis are carried out.Developed a set of inversion analysis and easily operation software for hydraulic fracturingparameters. User operations could be realized through windows interfaces. Pressure values canbe loaded or manually entered through the access point. Obtaining the predicted fracturegeometry parameters of the down hole environment.