Fault characterization method and system for precise navigation of deep oil and gas based on image fusion
US11860326B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 6, 2023 |
| Grant date | Jan 2, 2024 |
| Priority date | — |
| Expiry date | Jul 6, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01V2210/646
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The present invention belongs to the field of geological exploration and specifically relates to the fault characterization method and system for precise navigation of deep oil and gas based on image fusion, aiming to solve the problem that faults in deep formations are difficult to characterize with conventional seismic interpretation methods. The present invention includes: obtaining amplitude gradient images by calculating amplitude gradient vectors; calculating dip attribute images based on the enhanced seismic data; fusing gradient amplitude attribute fault confidence region with dip angle attribute data volume that defines the fault position through a hierarchical wavelet transform method to obtain a superimposed fault attribute map; dividing bead-like structures based on superimposed fault attribute maps; calculating the score of branch fault data points based on the center point position of bead-like structures, and dividing and analyzing the dominant fault areas.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.