In this video, I'm excited to announce a new integration for the EFramework, a tool designed to democratize the use of machine learning applications in the industry. With this integration, you'll be able to use a highly performant open-source fault detection network on your seismic data. I'll show you how to get set up and run the network, and I'll provide a comparison to a previous network to demonstrate the significant improvement in accuracy. Credit for the fault detection network goes to Yimin Dou, who released it on GitHub as part of the research paper "MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly Annotation"
📓 Resources:
MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly Annotation - [ Ссылка ]
GitHub FaultNet - [ Ссылка ]
EFramework - [ Ссылка ]
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WHO AM I:
I am Chief Technical Officer at a software company that develops AI/ML solutions for the Oil and Gas. I am passionate about AI and its application in Oil and Gas. For many years, I have been developing and launching solutions based on AI for various aspects of geoscience and petroleum engineering. I make videos about Deep Learning and Machine Learning applications within Oil and Gas.
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#EFramework #SeismicData #FaultDetection
