Multiple Linear Regression Models For Estimating True Subsurface Resistivity From Apparent Resistivity Measurements

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Multiple Linear Regression Models For Estimating True Subsurface Resistivity From Apparent Resistivity Measurements

Multiple linear regression (MLR) models for rapid estimation of true subsurface resistivity from apparent resistivity measurements are developed and assessed in this study. The objective is to minimize the processing time required to carry out inversion with conventional algorithms. The arrays consi...

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Bibliographic Details
Main Author:	Bala, Muhammad Sabiu
Format:	Thesis
Language:	English
Published:	2018
Subjects:	QC1 Physics (General)
Online Access:	http://eprints.usm.my/44169/ http://eprints.usm.my/44169/1/MUHAMMAD%20SABIU%20BALA.pdf

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