A Novel Methodology for Hydrocarbon Depth Prediction in Seabed Logging: Gaussian Process-Based Inverse Modeling of Electromagnetic Data

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...

Full description

Bibliographic Details
Main Authors: Hanita Daud, Muhammad Naeim Mohd Aris, Khairul Arifin Mohd Noh, Sarat Chandra Dass
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Applied Sciences
Subjects:
seabed logging
electromagnetic data
hydrocarbon depth
inverse modeling
Gaussian process
gradient descent
Online Access:https://www.mdpi.com/2076-3417/11/4/1492

Internet

https://www.mdpi.com/2076-3417/11/4/1492

Similar Items