Scott E. Evans
Senior Program Analyst, Vice President
Scott E. Evans joined DeGolyer and MacNaughton in 2007 as a specialist in computer programming and database design. Evans writes full-stack applications and numerous essential routines and performs database management services for geologic and engineering data. He has 19 years of experience in the industry.
Evans graduated with honors from Texas A&M University with a bachelor’s degree in physics in 2001 and a master’s degree in mathematics in 2008. He was named a Vice President of D&M in 2019.
Geographical Experience
- Algeria
- Argentina
- Azerbaijan
- Brazil
- Canada
- China
- Colombia
- Germany
- India
- Indonesia
- Iraq
- Israel
- Kazakhstan
- Mexico
- Nigeria
- Norway
- Romania
- Russia
- Saudi Arabia
- Trinidad and Tobago
- Ukraine
- United Kingdom
- United States
- United Arab Emirates
- Uzbekistan
- Venezuela
- Vietnam
Topical Areas of Expertise
- Reserves forecasting applications
- Economic evaluation applications
- Data analytics
- Database design
- Database conversions
- Numerical method computing
- Software applications and languages (C#, Python, WPF, SQL Server, Azure, PHDWin, ARIES, Microsoft Access, Excel, Spotfire, VB.Net, VBA)
- Generative AI proficiency
- PRMS and SEC reporting
Major Projects
Evans developed a comprehensive suite of applications to enhance technical forecasting, economic analysis, and data management. His SEC/PRMS-compliant production forecasting solution offers decline-curve analysis and charting tools and automates data integration for improved efficiency and accuracy. Originally developed for well-level evaluation of development, scheduling, and estimation scenarios on large Russian reserves assets, it has since expanded to handle the variable data environments D&M encounters globally and interfaces directly with commercial platforms such as PHDwin and D&M’s enterprise databases.
Evans’ other projects include economic models tailored to the unique legal, operational, capital, tax, and market considerations of countries worldwide and tools for real-time sensitivity evaluations and viability assessments of scheduled developments. He has also written a diverse array of routines and solutions, including conversion tools between commercial industry applications, regression algorithms to model well performance, and interfaces and reports that facilitate user data analyses.
His ongoing work includes a comprehensive database solution for managing and integrating reserves and revenue projections. Its feature set includes reporting, query, and logic designers, Excel modeling and interoperability, PHDwin integration, economic limitations and reserves allocations, and category and stream arithmetic. These tools simplify project management while addressing specific scenarios, reducing effort and serving as a consolidated dataset for big data analysis.
