Lead / Senior Reservoir Engineer (Mandate: US Lower 48 experience)

Job

• Lead a team of reservoir engineers and analysts, ensuring timely due diligence on all deals evaluated by the firm, and manage other ongoing Petrotech projects.


• Conduct reservoir engineering analyses to assess the viability and profitability of oil and gas assets.


• Perform production analysis and forecasting across multiple onshore U.S. basins.


• Utilize proprietary software tools for production forecasting and performance evaluation.


• Deconstruct shale operators field development strategies and apply learnings to determine appropriate assumptions for future development plans.


• Oversee data organization and maintain internal databases covering geological formations, field development plans, and production forecasts.


• Collaborate with the Investments group by advising on cost, pricing, key assumptions and risk assessments.


• Interface with multidisciplinary teams including geoscientists, geoinformatics specialists, and finance professionals.

Qualifications:

• Minimum of a BE/BTech in Petroleum Engineering; an MS or PhD is a plus, especially if the research aligns with reserves estimation, petroleum economics, or production forecasting.


• Minimum of 5 years of hands-on petroleum engineering experience, with a focus on shale and tight-oil reservoir engineering, acquisition & divestment support, and reserves reporting across the US Lower 48.


• Proficiency with data visualization tools such as Spotfire.


• Demonstrated capability in the theory and application of Decline Curve Analysis.


• Familiarity with unconventional reservoirs and completion technologies.


• Working knowledge of basic finance concepts.

Ideal Skill Set:

• MS or PhD in Petroleum Engineering with a focus on fluid flow in porous media, decline curve analysis, or production forecasting.


• Demonstrable expertise in the evaluation and management of shale, tight oil, and tight gas reservoirs.


• Experience in drilling operations, well testing, and production optimization.


• Strong skills in Python (NumPy, Pandas, scikit-learn) and SQL are a significant plus.


• Advanced proficiency in data visualization tools such as Spotfire