Scholarlink

The electromagnetic method is essential for exploring metal minerals, oil and gas reservoirs, coal mine voids, and geothermal resources. However, due to the complex observation environment and significant noise interference, achieving precise measurements of underground targets with a single geophysical method remains challenging. Currently, the comprehensive interpretation of multi-physical data by experts is the primary approach for delineating subsurface rock and ore bodies, but this method heavily relies on human experience.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Progress and Application of Machine Learning in Electromagnetic Detection Data Processing

  • 章节

  • 发表日期：

    2025年

查看全文
  • Guoqiang Xue,
  • Xin Wu,
  • Weiying Chen,
  • Nannan Zhou

摘要

The electromagnetic method is essential for exploring metal minerals, oil and gas reservoirs, coal mine voids, and geothermal resources. However, due to the complex observation environment and significant noise interference, achieving precise measurements of underground targets with a single geophysical method remains challenging. Currently, the comprehensive interpretation of multi-physical data by experts is the primary approach for delineating subsurface rock and ore bodies, but this method heavily relies on human experience.