Bayesian Experimental Design for Efficient Sensor Placement in Two-Dimensional Electromagnetic Imaging-Reference-Cited by-同舟云学术

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Bayesian Experimental Design for Efficient Sensor Placement in Two-Dimensional Electromagnetic Imaging

Published:2023 Issue: Volume:11 Page:65649-65662
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sandhu Ali Imran¹^ORCID,Dia Ben Mansour¹^ORCID,Dorn Oliver²^ORCID,Soupios Pantelis³^ORCID

Affiliation:

1. Center for Integrative Petroleum Research, College of Petroleum Engineering and Geosciences, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia

2. Department of Mathematics, Alan Turing Building, The University of Manchester, Manchester, U.K.

3. Department of Geosciences, College of Petroleum Engineering and Geosciences, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10159997.pdf?arnumber=10159997

Reference53 articles.

1. Joint inversion approaches for geophysical electromagnetic and elastic full-waveform data

2. Joint electromagnetic and seismic inversion using structural constraints

3. Testing Different Stochastic Methods to Model Direct Current Resistivity and Seismic Refraction Geophysical Data Using a Combined Local and Global Optimization Algorithm

4. Approach on Joint Inversion of Electromagnetic and Acoustic Data Based on Structural Constraints

5. Electromagnetics activities at Lawrence Livermore National Laboratory

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