CGG has filed a patent for a method of seismic imaging using full waveform inversion (FWI). The method involves obtaining initial velocity models, generating synthetic datasets, comparing them with recorded seismic data, updating the velocity models, and generating an image of the subsurface based on the updated models. GlobalData’s report on CGG gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on CGG, Marine seismic data acquisition was a key innovation area identified from patents. CGG's grant share as of September 2023 was 53%. Grant share is based on the ratio of number of grants to total number of patents.
Seismic imaging method using full waveform inversion
A recently filed patent (Publication Number: US20230288590A1) describes a method for seismic imaging of a subsurface using a full waveform inversion (FWI). The method involves several steps to obtain an accurate image of the subsurface.
The first step is to obtain an initial P-velocity model that describes how a seismic wave propagates through the subsurface. Based on this initial model, an S-velocity model is generated. An elastic synthetic dataset, called "p," is then generated using both the initial P-velocity model and the S-velocity model.
Next, a recorded seismic dataset of the subsurface, denoted as "d," is received. The P-velocity model is updated by comparing the synthetic dataset "p" with the recorded seismic dataset "d." Additionally, the reflectivity at various locations in the subsurface is updated based on the updated P-velocity model.
Finally, an image of the subsurface is generated based on the reflectivity. This method allows for accurate seismic imaging of the subsurface, providing valuable information for various applications such as oil and gas exploration, geological studies, and environmental assessments.
The patent also includes additional claims that further enhance the method. For example, claim 2 describes updating the S-velocity model based on the updated P-velocity model and updated reflectivity. Claim 3 specifies that the elastic synthetic dataset "p" is calculated based on Hooke's law, which relates stress and strain in the subsurface. Claim 7 introduces the use of a cost function based on time-shifts between the synthetic dataset "p" and the recorded seismic dataset "d" to update the initial P-velocity model. Claim 9 describes the generation of an adjoint source dataset and calculation of a gradient to further update the initial P-velocity model.
The patent also includes claims for a computing device and a non-transitory computer-readable medium that implement the method described above. These claims highlight the practical applications of the method and its potential for automation and integration into existing seismic imaging systems.
Overall, this patent presents a comprehensive method for seismic imaging using full waveform inversion, offering potential advancements in subsurface imaging technology.
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