Tiexing Wang
Affiliations. R&D Shearwater Geoservices. United Kingdom.
Tiexing Wang is a research geophysicist on the R&D team at Shearwater GeoServices, United Kingdom.
His main research areas are physics-ML, seismic signal processing & inversion and Generative modelling. He is particularly focused on building a physics-aware framework that eliminates the need for supervised learning with ground truth data. This framework aims to be a reliable solver for inverse problems.
He is also a board member of the EAGE London Local Chapter and the EAGE Young Professionals Committee, where he promotes scientific research and addresses scientific challenges during the energy transition.
News
Selected publications
- GET2024
What Can Generative Modelling Do for Interpolation of Extremely Sparse Wind Farm Seismic Data?2024 - Petex2024
Advancements in Seismic Data Acquisition and Processing: The First Broadband 3D Marine Vibrator Survey in the North Sea2024 - Submitted
Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination2025 - Submitted Interpolating Sparse Seismic Data via Horizon-Guided Inverse Distance Weighting2025
