eprintid: 12016
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/20/16
datestamp: 2023-11-10 03:26:33
lastmod: 2023-11-10 03:26:33
status_changed: 2023-11-10 01:16:41
type: article
metadata_visibility: show
creators_name: Aris, M.N.M.
creators_name: Daud, H.
creators_name: Dass, S.C.
creators_name: Noh, K.A.M.
title: Gaussian process methodology for multi-frequency marine controlled-source electromagnetic profile estimation in isotropic medium
ispublished: pub
note: cited By 5
abstract: The marine controlled-source electromagnetic (CSEM) technique is an application of electromagnetic (EM) waves to image the electrical resistivity of the subsurface underneath the seabed. The modeling of marine CSEM is a crucial and time-consuming task due to the complexity of its mathematical equations. Hence, high computational cost is incurred to solve the linear systems, especially for high-dimensional models. Addressing these problems, we propose Gaussian process (GP) calibrated with computer experiment outputs to estimate multi-frequency marine CSEM profiles at various hydrocarbon depths. This methodology utilizes prior information to provide beneficial EM profiles with uncertainty quantification in terms of variance (95 confidence interval). In this paper, prior marine CSEM information was generated through Computer Simulation Technology (CST) software at various observed hydrocarbon depths (250-2750 m with an increment of 250 m each) and different transmission frequencies (0.125, 0.25, and 0.5 Hz). A two-dimensional (2D) forward GP model was developed for every frequency by utilizing the marine CSEM information. From the results, the uncertainty measurement showed that the estimates were close to the mean. For model validation, the calculated root mean square error (RMSE) and coefficient of variation (CV) proved in good agreement between the computer output and the estimated EM profile at unobserved hydrocarbon depths. © 2019 by the authors.
date: 2019
publisher: MDPI AG
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074228936&doi=10.3390%2fpr7100661&partnerID=40&md5=3a38d340dfb990bea6f0c43d8cb1dc17
id_number: 10.3390/pr7100661
full_text_status: none
publication: Processes
volume: 7
number: 10
refereed: TRUE
issn: 22279717
citation:   Aris, M.N.M. and Daud, H. and Dass, S.C. and Noh, K.A.M.  (2019) Gaussian process methodology for multi-frequency marine controlled-source electromagnetic profile estimation in isotropic medium.  Processes, 7 (10).   ISSN 22279717