Multi-series conventional logging response analysis method based on shaft crack space continuation
By analyzing and adjusting the core depth, combining the fracture characteristic parameters identified by the imaging picture, the crack space distribution within different series of radial detection depths of conventional well logs is solved, and the problem of inaccurate conventional well logging values in the existing technology is achieved, and crack recognition and three-dimensional feature portrayal is achieved with higher accuracy.
Patent Information
- Application Number
- CN202411876347.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-19
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2044-12-19
AI Technical Summary
The existing conventional logging crack identification methods fail to fully consider the different radial and longitudinal detection ranges of conventional logging series, as well as the spatial distribution of fractures from the wellbore to the conventional logging detection range, resulting in inaccurate conventional logging values for obtaining fracture responses.
By collecting and analyzing logging data, core photos and imaging pictures of a single well, combining the characteristics of the core ground scanning gamma curve with the imaging log gamma curve, the core depth is adjusted to unify it with the imaging logging trend. Then, the crack characteristic parameters identified by the imaging pictures are used to analyze the spatial distribution of the fractures within the radial detection depths of the conventional well logging series, calculate the total spatial distribution volume of the fractures at different depth points, and extract the average value and amplitude difference of different series of conventional well loggings in combination with longitudinal resolution to seek the response relationship.
The accuracy of obtaining conventional logging values at the cracks is improved, and the complexity and fine characteristics of the cracks are fully portrayed, laying the foundation for subsequent conventional logging curve identification and mapping of three-dimensional distribution characteristics.