地震解释专家应用机器学习技术，多方面用足手中数据

Posted 2021-04-03 地学软件前沿

地震解释专家应用机器学习技术，多方面用足手中数据

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课程简介

• 视频名称：Use Machine Learning Techniques to Enrich the Data Available to Seismic Interpreters

  
  

• 视频内容

1. 地震解释专家应用机器学习技术，多方面用足手中数据

Machine Learning technologies are richly represented across the Emerson portfolio; here we focus on just two, which deliver enhanced data deliverables to aid the seismic interpreter. Deep Learning applied to full-azimuth data extracts ‘pre-classified’ data volumes from prestack data to highlight geological structures, while the Rock Type Classification workflow uses a Democratic Neural Network Association trained with both prestack data and well data to predict lithology distribution and probability. 

  

  2、总结




• 视频来源：EPS Paradigm 公开技术讲座

• 课程时长：28分钟

  
  

• 课件ppt （提供给会员用户）
  

讲师简介

讲师：EPS 技术团队  专家 Sandra Allwork

Sandra Allwork is Director of Technical Services at Emerson E&P Software in Europe, and has over 20 years of experience with the Paradigm portfolio. Over the years, Sandra has worked with customers in Europe and the Middle East to optimize their velocity model building and imaging workflows, incorporating the latest advances in anisotropy and full-azimuth analysis. She holds a BSc in Geology & Geophysics from the University of Durham in the UK. 

适宜听众

• 专业：地质、地球物理、岩石物理

  
  

• 角色

• 地球物理工程师

• 地质工程师

• 岩石物理工程

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