Daniel J. Salzman
Principal Program Analyst, Vice President
Daniel J. Salzman joined DeGolyer and MacNaughton in 2010 as an associate analyst, assisting in the evaluation of reserves and prospective resources across a broad range of basins, resource types, and regulatory frameworks. Since 2019, Salzman has led the firm’s Data Analytics group within the Information Technologies Division. He has over 15 years of experience in the industry.
Salzman graduated with honors from the University of Notre Dame in 2010 with a bachelor’s degree in physics and a bachelor’s degree in classics. He is a member of the Society of Petroleum Engineers. He was named a Vice President of D&M in 2019.
Geographical Experience
- Australia
- Azerbaijan
- Brazil
- Cameroon
- China
- Colombia
- Egypt
- Grenada
- Guyana
- Indonesia
- Iraq
- Italy
- Kenya
- Liberia
- Libya
- Madagascar
- Malaysia
- Mexico
- Mozambique
- Mauritania
- Namibia
- Nigeria
- Norway
- Oman
- Peru
- The Philippines
- Ras al-Khaimah
- Republic of the Congo
- Russia
- Saudi Arabia
- Senegal
- Suriname
- Tanzania
- Thailand
- Trinidad and Tobago
- Uganda
- Ukraine
- United States
- United Kingdom
- Uruguay
- Vietnam
- Yemen
Topical Areas of Expertise
- Data visualization
- Cloud computing
- Monte Carlo simulation
- Reservoir performance forecasting
- Economic analysis
- Prospective resources evaluations
- Simulation modeling software
- Custom computer programming
- Cost analysis
- Mature waterflood analysis
Major Projects
Salzman has experience evaluating prospective resources and developing economic models for onshore and offshore oil and gas fields around the globe, supporting projects ranging from early‑stage exploration assessments to large mature asset portfolios and year‑end reserves certifications.
He has assisted with the development and maintenance of a proprietary, simulation-based software package used by D&M for reservoir performance forecasting and economic analysis in the evaluation of reserves and prospective resources.
He has overseen the development of advanced analytics workflows, internal platforms, and decision‑support tools used across the firm’s global reserves and advisory practice. His work has included probabilistic production forecasting, geologic analog identification, large‑scale reserves and economics reconciliation, and automation of data ingestion, validation, and reporting processes.
