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...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
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MDPI AG
2021
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| オンライン･アクセス: | 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/ |
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