Automatic velocity picking with convolutional neural networks

作者：Yue Ma, Xu Ji, Tong W. Fei, Yi Luo · 年份：2018 · DOI：10.1190/segam2018-2987088.1 · 被引用次数：30 · 研究领域：Image and Object Detection Techniques、Iterative Learning Control Systems、Image Processing Techniques and Applications

We developed an automatic velocity picking methodology based on convolutional neural networks (ConvNets). The proposed method formalizes the picking problem into a ConvNet regression model to map the NMO-corrected seismic gather to the velocity error estimates. We also propose a data preprocessing technique to normalize the shallow and deep reflections of a CMP gather into the same moveout shape, which is a key ingredient for successful training. A synthetic example shows the feasibility and effectiveness of the proposed method. Presentation Date: Wednesday, October 17, 2018 Start Time: 1:50:00 PM Location: 204B (Anaheim Convention Center) Presentation Type: Oral