Bruno de Ribet, Technology Global Director, Strategic Projects and E&P Software at Emerson Automation Solutions, will be a featured speaker at the 2nd Joint SBGf-SEG Workshop on Machine Learning, to be held virtually on November 10-11. Dr. de Ribet will present a paper, "Application of Principal Component Analysis and Deep Learning along Directional Image Gathers for High-Definition Classification of Subsurface Features", on Day 2, Session 3: Application to Seismic Processing.
Date and time: November 11, 2:40 PM
Specular/diffraction imaging has proven to be an attractive approach to providing high-resolution subsurface images containing different types and scales of continuous and discontinuous geometrical objects. For depth domain 3D subsurface models, Koren and Ravve (2011) described an imaging method which is based on the ability to decompose the full recorded seismic wavefield into continuous full-azimuth directivity components in situ at the subsurface image points. Following the ongoing effort to automatically enhance procedures for interpreting/classifying directivity driven image data, Itan et al. (2017) presented a Deep Learning (DL) approach to this challenging task. The preliminary results indicated great promise in using this approach. This work expands this method, as in addition to vertical section image patches, we also train the net with horizontal patches. This leads to further improvements, particularly in areas masked by ambient and coherency noise. We demonstrate our method on seismic data acquired in various geologic settings.
Click here to read the extended abstract.
Bruno de Ribet is Technology Global Director at Emerson. With more than 28 years of experience, Dr. de Ribet’s responsibilities combine tasks with development and workflow-based application of interpretation and reservoir characterization technologies and innovations to ensure the delivery of high-end solutions to the oil and gas industry. He holds a Ph.D. in Geophysics from Paris University’s Institute du Physique du Globe. Dr. de Ribet is an active member of SEG and EAGE.