AUTOMATED CLASSIFICATION OF GEOPHYSICAL WELL LOGS By

I hereby declare that I am the sole author of this thesis. I authorize the University of Waterloo to lend this thesis to other institutions or individuals for the purpose of scholarly research. I further authorize the University of Waterloo to reproduce this thesis by photocopying or by other means, in total or in part, at the request of other institutions or individuals for the purpose of scholarly research. The University of Waterloo requires the signatures of all persons using or photocopying this thesis. Please sign below, and give address and date. The interpretation of geophysical well logs is usually carried out by an expert analyst. The expert often bases the interpretation on patterns and shapes observed in the data, and characteristic and unique shapes constitute the expert’s interpretation experience. The objective of the project was to develop a computer software algorithm which similarly stores log curve shape information for various lithologies, and interprets new data by comparing the known shapes to unknown data. The algorithm which was developed processes the data in three stages: first by zoning the log into sub