Dengliang Gao
Professor of Geology
Contact
dengliang.gao@mail.wvu.eduCategorized As
Applied Geophysics, Seismic Data Analysis, Geodynamics — Gao is interested in developing and applying 3D seismic interpretation technologies for more effective subsurface structure, facies, and reservoir characterization.
Gao has been working on 3D seismic data analysis in the Central Appalachian Basin, Powder River Basin, Oriente Basin (Ecuador), Sichuan Basin (China), Campos and Santos Basin (Brazil), and Lower Congo Basin (West Africa). He is currently working on reservoir characterization in southwestern Pennsylvania of the Appalachian Plateau. His interests include subsurface characterization using seismic attributes and machine learning, earthquake system analysis using subsurface and surface data, and sustainable energy system analysis using imaging and analytical modeling.
Current and ongoing research projects
- South Atlantic opening geodynamics
- Machine learning application to subsurface characterization
Representative papers
- Gao, D., 2022, Continental tapering of South America caused asymmetric non-uniform opening of the South Atlantic Ocean: Communications Earth & Environment 3, 278.
- Ore, T. & D. Gao, 2023, Prediction of reservoir brittleness from geophysical logs using machine learning algorithms: Computers & Geosciences.
- Q. Wang, Z. Wang, D. Gao, Z. Gao, J. Jia, J. Zhu, and J. Gao, 2023, Seismic attribute analysis with a combination of convolutional autoencoder and random forest in a turbidite reservoir. Geophysics, 1-47.
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