Fracture Distribution Prediction Model of Xihu Depression and Its Application
Yan Weifeng;Duan Feifei;Zhang Le;Li Ming;
The Xihu sag of the East China Sea has the background of sliding tectonic stress field, and faults and fracture development in the stratum. Some conventional logging data such as resistivity logging, acoustic logging, density logging, neutron logging and natural gamma logging can respond to the cracks in formation. In view of the traditional fracture prediction model using simple weighted average of different logging data analysis to calculate the comprehensive fracture index, the result is greatly influenced by subjective factors and has some errors. Therefore, a statistical method is introduced to analyze logging data with fuzzy mathematics theory, and a prediction model of formation fracture index based on membership function is established. By comparing imaging logging and fracture development prediction results of different models in a well of NX Block in Xihu Depression, it is shown that the accuracy of fracture prediction model based on membership function is better than the traditional model, and the prediction result of membership function model is in better agreement with the imaging logging, which can better reflect the fracture development and provide a reference for engineering practice.
【CateGory Index】： TE151