Identification Method of Mud Shale Fractures Base on Wavelet Transform

2017 3rd International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Xia, Weixu^1 ; Lai, Fuqiang^1 ; Luo, Han^1

School of Chongqing University of Science and Technology, Chongqing

401331, China^1

关键词: Conventional logging;    High frequency HF;    Identification method;    Mud shale;    Oil and gas reservoir;    Seismic analysis;    Wavelet denoising method;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/108/3/032015/pdf
DOI  :  10.1088/1755-1315/108/3/032015

来源: IOP

【 摘 要 】

In recent years, inspired by seismic analysis technology, a new method for analysing mud shale fractures oil and gas reservoirs by logging properties has emerged. By extracting the high frequency attribute of the wavelet transform in the logging attribute, the formation information hidden in the logging signal is extracted, identified the fractures that are not recognized by conventional logging and in the identified fracture segment to show the "cycle jump", "high value", "spike" and other response effect is more obvious. Finally formed a complete wavelet denoising method and wavelet high frequency identification fracture method.