Walter Egbueze

Environmental Engineer ConocoPhillips

Walter Egbueze stands out as a seasoned environmental engineer with a diverse background spanning manufacturing, technology, and the oil and gas industries. His leadership and networking prowess were notably displayed during his tenure as the president of the Society of Petroleum Engineers (SPE) at Obafemi Awolowo University (OAU) in 2015. Furthering his commitment to the field, he holds the position of Young Professional Chair for SPE in the Permian Basin, Texas. Walter's professional journey includes significant roles at ConocoPhillips, and he has contributed his expertise to leading corporations such as ExxonMobil, Amazon, and Cummins. His academic credentials are equally impressive, with a degree in Chemical Engineering from OAU, a Master of Science in Environmental Engineering from Texas A&M, and executive education in Environmental Sustainability from Harvard School of Public Health. He also has a certified skill in Advanced Data Analytics at the University of Texas McCombs Business School. Walter's multifaceted experience and education make him a valuable asset in the field of environmental engineering. Also an SPE Africa Regional Awardee.

Main Conference Day 1 - October 8, 2025

4:30 PM Panel Discussion: Using Data to Identify and Build a Business Case for Economically Viable Emissions Reduction Projects

While emission reduction strategies are a key focus, initial CAPEX can be a concern. Any project chosen must provide a balance between effective emissions reductions and operational gains. This panel will review strategies to identify the projects with the most potential for success, both from a sustainability and OPEX perspective

Using a bottom-up approach to gather emissions data from individual assets and identify projects that maximize both operational gains and emissions reductions.
How to evaluate and select the most economically viable emissions reduction projects, by considering CAPEX, operational efficiencies, and production gains
Different industries and organizations prioritize emission types differently. How can economic modelling help advocate for potentially lower priority emissions projects by highlighting their economic and operational benefits?

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