AI ML in Oil and Gas: overview of applications for Seismic Data Processing

Research papers
Hey friends, just released a video with an overview of AI/ML applications for Seismic Data Processing. We're going over 3 Deep Learning applications: First Break Picking, Image Denoising, and Reconstruction of Missing Data.

🎬 In the following videos, we'll be talking about other areas of Oil and Gas, be sure to subscribe.

Resources Mentioned in the Video:
▪️ GitHub repo with First Break Picking solution
▪️ Yu, S., & Ma, J. (2021). Deep learning for geophysics: Current and future trends. Reviews of Geophysics, 59, e2021RG000742.
▪️ Yuanyuan Ma, Siyuan Cao, James W. Rector, and Zhishuai Zhang, (2019),
"Automatic first arrival picking for borehole seismic data using a pixel-level network,"
SEG Technical Program Expanded Abstracts : 2463-2467.
▪️ Yuan, P., Wang, S., Hu, W., Wu, X., Chen, J., & Van Nguyen, H. (2020).
A Robust First-Arrival Picking Workflow Using Convolutional and Recurrent Neural Networks.
▪️ Wu, Xinming & Liang, Luming & Shi, Yunzhi & Geng, Zhicheng & Fomel, Sergey. (2019).
Multi-task learning for local seismic image processing: fault detection, structure-oriented
smoothing with edge-preserving, and seismic normal estimation by using a single convolutional neural network. Geophysical Journal International.
▪️ Yu, S., Ma, J., & Wang, W. (2019). Deep learning for denoising. GEOPHYSICS, 1–107.
▪️ Chai, X., Gu, H., Li, F. et al. Deep learning for irregularly and regularly missing data reconstruction. Sci Rep 10, 3302 (2020)

Link to the LinkedIn post