학술논문

Identification of fractures in Changning shale gas reservoir based on fast and slow S-wave remote detection imaging processing technology
Document Type
Conference
Source
2022 International Conference on Manufacturing, Industrial Automation and Electronics (ICMIAE) ICMIAE Manufacturing, Industrial Automation and Electronics (ICMIAE), 2022 International Conference on. :45-55 Aug, 2022
Subject
Computing and Processing
Productivity
Automation
Anisotropic magnetoresistance
Imaging
Reservoirs
Attenuation
Acoustic arrays
Fracture identification
energy attenuation
fast and slow S-wave separation
dipole S-wave far detection
imaging processing
Language
Abstract
Fracture development is the key factor affecting shale gas bearing property and reservoir productivity. The fracture distribution of shale gas reservoir is identified by full wave energy attenuation of orthogonal dipole acoustic wave and S-wave far detection processing combined with logging data such as electrical imaging. Anisotropic processing is performed on the orthogonal dipole four component acoustic data to separate the fast and slow S-wave signals. According to the different responses of fast S-wave and S-wave to fractures in shale gas vertical wells and horizontal wells, the far detection processing technology is used to process and image the reflection signals of long-distance extended fractures outside the wellbore, so as to predict and evaluate the fracture development of a large number of shale gas exploration target layers in Changning area, The results show that fast and slow S-wave separation and S-wave remote detection imaging can better identify the fracture layer of a single well, which has guiding significance for the formulation of staged fracturing scheme of shale gas reservoir and shale gas exploration and development.