Company Filing History:
Years Active: 2023-2024
Title: The Innovative Contributions of Song Hou
Introduction
Song Hou is a prominent inventor based in Crawley, GB. He has made significant contributions to the field of seismic exploration through his innovative patents. With a total of 3 patents, his work focuses on utilizing advanced technologies to enhance seismic data processing.
Latest Patents
One of Song Hou's latest patents is titled "Seismic interference noise attenuation using DNN." This invention employs a deep neural network (DNN) to effectively remove seismic interference noise from seismic exploration methods and data processing apparatuses. The training data for the DNN is generated by combining a seismic interference model extracted from a subset of seismic data with SI free shots and simulated random noise. The trained DNN processes the entire seismic data, generating an image of subsurface formations to detect the presence and location of sought-after natural resources.
Another notable patent is focused on "Using neural networks for interpolating seismic data." This method interpolates simulated seismic data from a coarse spatial sampling to a finer spatial sampling using a neural network. The neural network is trained with a set of simulated seismic data that includes both finer and coarser spatial sampling. The resulting seismic dataset is utilized for denoising the seismic data acquired over the underground formation.
Career Highlights
Song Hou is currently employed at Cgg Services Sas, where he continues to develop innovative solutions in seismic data processing. His expertise in deep learning and seismic exploration has positioned him as a key figure in his field.
Collaborations
Throughout his career, Song has collaborated with notable professionals, including Stefano Angio and Henning Hoeber. These collaborations have further enriched his work and contributed to advancements in seismic technology.
Conclusion
In summary, Song Hou's innovative patents and contributions to seismic exploration demonstrate his commitment to advancing technology in this critical field. His work not only enhances the accuracy of seismic data processing but also plays a vital role in the discovery of natural resources.