A method and device for seismic data recovery based on 5G seismic data acquisition nodes
By using a data retrieval method based on 5G seismic data acquisition nodes and employing a Transformer deep neural network to remove noise and classify and package data, the problem of low seismic data retrieval efficiency was solved, enabling more efficient data uploading and storage and improving the production efficiency of oil and gas exploration.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA PETROLEUM & CHEMICAL CORP
- Filing Date
- 2024-12-28
- Publication Date
- 2026-06-30
AI Technical Summary
Existing technologies suffer from low efficiency in recovering seismic acquisition data, with limited network transmission and storage write speeds, resulting in a bottleneck in the overall data recovery system efficiency.
A data recovery method based on 5G seismic data acquisition nodes is adopted. Seismic data is received through data transmission units, noise data is removed using the Transformer deep neural network model, data is classified and packaged according to construction parameters, and then uploaded to the cloud via the 5G network.
It improved the data retrieval rate of seismic nodes, enhanced the production efficiency of seismic data field acquisition and construction, reduced the pressure on the storage system, avoided write-freeze phenomena, and improved the overall data retrieval efficiency.
Smart Images
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