Method and system for intelligently identifying carbon storage box based on GAN network
US11740372B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 14, 2022 |
| Grant date | Aug 29, 2023 |
| Priority date | — |
| Expiry date | Sep 18, 2042 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/70
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The present disclosure belongs to the field of capture, utilization, and storage of carbon dioxide, particularly relates to a method and system for intelligently identifying a carbon storage box based on a GAN network, and aims at solving the problem that the analysis accuracy of a fault zone area in the prior art is insufficient. The method comprises the steps: delineating seismic waveform data of a stable sedimentary area through a GAN network, and removing seismic waveform data points in the fault zone area; obtaining a stable sedimentary background seismic waveform data invertomer; obtaining a three-dimensional wave impedance prediction data volume; making a difference to obtain an abnormal wave impedance data volume; retaining abnormal wave impedance data of fault-karst in the three-dimensional variance attribute volume to obtain a fault-karst wave impedance data volume; and then obtaining a carbon storage box interpretation model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.