TGS has patented a system to detect and control noise in seismic surveys. The technology uses Hough tensors and machine learning to identify noise in seismic data, allowing for adjustments to improve data quality. This innovation aims to enhance seismic imaging accuracy by minimizing noise interference. GlobalData’s report on TGS gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on TGS, was a key innovation area identified from patents. TGS's grant share as of February 2024 was 70%. Grant share is based on the ratio of number of grants to total number of patents.
System to detect and control noise in seismic surveys
A recently granted patent (Publication Number: US11892582B2) discloses a system designed to detect and control noise in seismic surveys. The system includes a data processing system with memory and processors that receive seismic data from a sensor component of a seismic data acquisition unit. By generating Hough tensors for different seismic data transforms and comparing them with historical data, the system can detect the presence of noise in real-time. Utilizing a machine learning model trained with historical data, the system can adjust survey characteristics to reduce noise, ultimately improving the quality of collected seismic data and resulting in higher quality images of subsurface formations.
Furthermore, the system can detect noise within specific time intervals, such as shot intervals corresponding to the seismic wave generation. It can also apply filters to remove predetermined frequencies from the seismic data and utilize machine learning techniques for line detection. The method involves generating Hough tensors, comparing them with historical data, and adjusting survey characteristics based on noise detection. By providing notifications to delay or pause survey operations, the system ensures the collection of high-quality seismic data for accurate imaging of subsurface structures, enhancing the efficiency and accuracy of seismic surveys.
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