System and method for identifying subsurface structures
US12399291B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 10, 2019 |
| Grant date | Aug 26, 2025 |
| Priority date | — |
| Expiry date | Dec 7, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01V1/302
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A subsurface structure identification system includes one or more processors and a memory coupled to the one or more processors. The memory is encoded with instructions that when executed by the one or more processors cause the one or more processors to provide a convolutional neural network trained to identify a subsurface structure in an input migrated seismic volume, and to partition the input migrated seismic volume into multi-dimensional sub-volumes of seismic data. The instructions also cause the one or more processors to process each of the multi-dimensional sub-volumes of seismic data in the convolutional neural network, and identify the subsurface structure in the input migrated seismic volume based on a probability map of the input migrated seismic volume generated by the convolutional neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.