Stochastic Process-Based Inversion of Electromagnetic Data for Hydrocarbon Resistivity Estimation in Seabed Logging

Stochastic Process-Based Inversion of Electromagnetic Data for Hydrocarbon Resistivity Estimation in Seabed Logging

This work proposes a stochastic process-based inversion to estimate hydrocarbon resistivity based on multifrequency electromagnetic (EM) data. Currently, mesh-based algorithms are used for processing the EM responses which cause high time-consuming and unable to quantify uncertainty. Gaussian proces...

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Bibliographic Details
Main Authors: Muhammad Naeim Mohd Aris, Hanita Daud, Khairul Arifin Mohd Noh, Sarat Chandra Dass
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Mathematics
Subjects:
stochastic process
Gaussian process
seabed logging
electromagnetic data
gradient descent
inversion
Online Access:https://www.mdpi.com/2227-7390/9/9/935

Internet

https://www.mdpi.com/2227-7390/9/9/935

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