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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Bala, Muhammad Sabiu
التنسيق:	أطروحة
اللغة:	الإنجليزية
منشور في:	2018
الموضوعات:	QC1 Physics (General)
الوصول للمادة أونلاين:	http://eprints.usm.my/44169/
Abstract	Abstract here

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