A novel methodology for hydrocarbon depth prediction in seabed logging: Gaussian process-based inverse modeling of electromagnetic data
Seabed logging (SBL) is an application of electromagnetic (EM) waves for detecting potential marine hydrocarbon-saturated reservoirs reliant on a source-receiver system. One of the concerns in modeling and inversion of the EM data is associated with the need for realistic representation of complex g...
Saved in:
| Main Authors: | , , , |
|---|---|
| 格式: | Article |
| 出版: |
MDPI AG
2021
|
| 在線閱讀: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100842547&doi=10.3390%2fapp11041492&partnerID=40&md5=c3c8adda9b88afe635a490c91d1c5151 http://eprints.utp.edu.my/23787/ |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|