A Machine Learning Workflow to Support the Identification of Subsurface Resource Analogs
Identifying subsurface resource analogs from mature subsurface datasets is vital for developing new prospects due to often initial limited or absent information. Traditional methods for selecting these analogs, executed by domain experts, face challenges due to subsurface dataset's high complex...
| Những tác giả chính: | , , , , |
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| Định dạng: | Bài viết |
| Ngôn ngữ: | English |
| Được phát hành: |
SAGE Publishing
2024-03-01
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| Loạt: | Energy Exploration & Exploitation |
| Truy cập trực tuyến: | https://doi.org/10.1177/01445987231210966 |