College of Engineering

Date of Award

Winter 12-1987

Document Type

Thesis

Degree Name

Master of Arts (MA)

Department

Geology

First Advisor

Stan Lee, Ph.D.

Second Advisor

Emilio Mutis-Duplat, Ph.D.

Third Advisor

Daniel R. Womochel, Ph.D.

Abstract

The Generalized Linear Inversion (GLI) method is used in conjunction with a tau-p forward model to successfully perform inversions of test and real-data examples. All data examples used are one-dimensional velocity profiles that represent several different cases. The stability of the technique is demonstrated in all the test-data sets. The use of simple models and wel1-control 1ed test data results in a minimum of iterations of the inversion process. Different levels of perturbation of the model and test-data examples are used to reveal insight into the robust nature of the inversion.

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