Publications

Yong Ma, Ali Almadan, Weichang Li, Damian Pablo San Roman Alerigi (2024). Generating Training Samples via 3D Modeling for Greenhouse Gas Emission Detection. Google Patents.

Tianyi Chen, Xiaoyi Qu, David Aponte, Colby Banbury, Jongwoo Ko, Tianyu Ding, Yong Ma, Vladimir Lyapunov, Ilya Zharkov, Luming Liang (2024). HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning. arXiv preprint arXiv:2409.09085.

Weichang Li, Yong Ma, Damian San Roman Alerigi (2024). Automated Wellhead Monitoring Using Deep Learning from Multimodal Imaging. International Petroleum Technology Conference.

Yong Ma, Weichang Li (2023). Method and system for generalizable deep learning framework for seismic velocity estimation robust to survey configuration. Google Patents.

Yong Ma, Weichang Li (2023). Robust Deep Learning Seismic Velocity Inversion Over Varying Acquisitions. IEEE Geoscience and Remote Sensing Letters.

Yong Ma, Lei Fu, Weichang Li (2023). Imaging distributed acoustic sensing-to-geophone conversion data: A field application to CO2 sequestration data. Interpretation.

Mohamad Alattas, Vladimir Kazei, Tao Lin, Yong Ma, Weichang Li (2023). Deep Learning-based Quantitative Carbon Geosequestration Monitoring at the Illinois Basin-Decatur Project. AGU Fall Meeting Abstracts.

Lei Fu, Weichang Li, Yong Ma (2023). Deep learning-based DAS to geophone data transformation. IEEE Sensors Journal.

Y Ma, L Fu, W Li (2022). Imaging CO2 Sequestration with Converted DAS-to-Geophone Data. 2nd EAGE Workshop on Fiber Optic Sensing for Energy Applications in Asia Pacific.

Yong Ma, Xu Ji, Weiguang He, Tong Fei (2022). Estimate near-surface velocity with reversals using deep learning and full-waveform inversion. Second International Meeting for Applied Geoscience & Energy.