Fan Jiang is a prominent inventor based in Sugar Land, TX (US), known for his significant contributions to the field of machine learning and seismic interpretation. With a total of 9 patents to his name, Jiang has made remarkable strides in utilizing advanced technologies to enhance geological feature detection and analysis.

Latest Patents

One of Jiang's latest patents is focused on a frequency-dependent machine learning model in seismic interpretation. This innovative approach allows for the interpretation of seismic data by applying spectral decomposition to pre-processed training data. The system generates frequency-dependent training data of two or more frequencies and trains multiple machine learning models using this data. After training, these models can be applied to seismic data to produce subterranean feature probability maps, along with an analysis of aleatoric uncertainty to create an uncertainty map. Additionally, a filtered subterranean feature probability map can be generated based on this uncertainty.

Another notable patent involves geological feature detection using generative adversarial neural networks (GANs). In this process, seismic image data is input into a deep neural network to generate fault detection data for subsurface formations. This data undergoes preprocessing and is then inputted into a GAN upscaling generator, which creates high-resolution fault detection data while minimizing distortion and artifacts. The GAN system is pre-trained on synthetic fault data, allowing it to learn and approximate the distribution of this data effectively.

Career Highlights

Fan Jiang is currently employed at Landmark Graphics Corporation, where he continues to push the boundaries of innovation in seismic data interpretation and machine learning applications. His work has not only advanced the field but has also provided valuable insights into subsurface formations.

Collaborations

Jiang collaborates with talented individuals such as Shengwen Jin and Phil Norlund, contributing to a dynamic team focused on groundbreaking research and development in their field.

Conclusion

Fan Jiang's innovative work in machine learning and seismic interpretation exemplifies the impact of technology on geological analysis. His contributions continue to shape the future of this field, making significant advancements in understanding subsurface formations.

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