Application of Fracture Distribution Prediction Model in Xihu Depression of East China Sea

3rd International Conference on Advances in Energy Resources and Environment Engineering

能源学;生态环境科学

Yan, Weifeng^1 ; Duan, Feifei^1 ; Zhang, Le^2 ; Li, Ming^2

China National Offshore Oil Corporation Shanghai Branch, China^1

College of Petroleum Engineering, China University of Petroleum, Beijing, China^2

关键词: Conventional logging;    Conventional well logs;    Engineering practices;    Formation characteristics;    Fracture distributions;    Fracture prediction;    Fuzzy mathematics;    Traditional models;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/113/1/012089/pdf
DOI  :  10.1088/1755-1315/113/1/012089

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

There are different responses on each of logging data with the changes of formation characteristics and outliers caused by the existence of fractures. For this reason, the development of fractures in formation can be characterized by the fine analysis of logging curves. The well logs such as resistivity, sonic transit time, density, neutron porosity and gamma ray, which are classified as conventional well logs, are more sensitive to formation fractures. In view of traditional fracture prediction model, using the simple weighted average of different logging data to calculate the comprehensive fracture index, are more susceptible to subjective factors and exist a large deviation, a statistical method is introduced accordingly. Combining with responses of conventional logging data on the development of formation fracture, a prediction model based on membership function is established, and its essence is to analyse logging data with fuzzy mathematics theory. The fracture prediction results in a well formation in NX block of Xihu depression through two models are compared with that of imaging logging, which shows that the accuracy of fracture prediction model based on membership function is better than that of traditional model. Furthermore, the prediction results are highly consistent with imaging logs and can reflect the development of cracks much better. It can provide a reference for engineering practice.