Date of Award

January 2023

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Petroleum Engineering

First Advisor

Olusegun S. Tomomewo

Abstract

Because of the recent paradigm shift focusing heavily on cost minimization, many operators are now re-developing existing assets at much lower costs instead of developing newly drilled wells. Although it may seem that the hydraulic fracturing process on a well would be easier after initial stimulation, this is not usually the case and is often more difficult. Being able to identify high margin effects of treatment parameters will help engineers design hydraulic fracturing treatments to minimize average STP (STP) and minimize costs. This research develops a feature engineered multivariate regression model that identifies several high margin areas for STP reduction. These models also yield error around 2% when predicting average STP. Using the marginal effects estimated in this study, operators can start to consider minimizing STP as a design parameter that has implications for pump time, pump maintenance costs, fuel costs, and emissions.

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