College of Engineering

Date of Award

Winter 12-1987

Document Type


Degree Name

Master of Arts (MA)



First Advisor

Stan Lee, Ph.D.

Second Advisor

Emilio Mutis-Duplat, Ph.D.

Third Advisor

Daniel R. Womochel, Ph.D.


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.