Role Overview:

The Developmental Geologist will play a key role in supporting acquisition and divestiture opportunities, basin wide scoping activities, and ensuring the quality of the firm's subsurface geological data. This position requires a detail-oriented individual with a passion for geology, subsurface modeling, and reservoir development, along with the skills to work effectively in a distributed work environment. The successful candidate will work closely with other geologists, petrophysicists, and reservoir engineers to help the firm meet its goals.

Key Responsibilities:

• Geological Interpretation and Mapping: Utilize subsurface data, such as well logs, seismic, and core data, to generate geological interpretations, create reservoir models, and support strategic drilling initiatives.
• Quality Control of Subsurface Data: Conduct quality control checks on well log, core, and seismic data to ensure data integrity and accuracy before integrating it into geological models.
• Subsurface Data Integration: Incorporate well logs, core data, and petrophysical analysis into geological models to enhance reservoir understanding and make informed recommendations on development and A&D strategies.
• Reporting and Documentation: Prepare and maintain comprehensive reports, maps, and cross-sections that communicate geological interpretations and field development strategies to key stakeholders.
• Database Management: Help manage geological databases, ensuring that subsurface data is accurately loaded, stored, and maintained for effective utilization by the team.
• Collaborative Team Efforts: Collaborate closely with geologists, petrophysicists, and reservoir engineers to understand reservoir complexities and identify optimal development opportunities.
• Utilize Software Tools: Leverage geological software such as Kingdom, or similar platforms to create geological models, cross-sections, and reservoir characterizations. Basic proficiency in SQL, Python, and Spotfire is desirable for data retrieval and manipulation.
• Automation and Efficiency Improvements: Utilize Python or similar tools to automate routine data management and analysis tasks, enhancing team efficiency.
• Generate Data Visualizations: Develop visual representations of subsurface data, such as maps, cross-sections, and reservoir models, using tools like Petrel, Kingdom, or Python libraries to support data-driven decision-making.

Requirements:

• Fluent in English.
• Bachelor's degree in Geology or a related field
• Proven experience in geological interpretation, mapping, and field development within the oil and gas industry.
  • Preference for U.S. lower-48 experience
• Proficiency in geological interpretation software and data management.
• Strong analytical skills and attention to detail.
• Excellent communication and collaboration skills, with the ability to work effectively in a remote team environment.
• Familiarity with basic Python for data analysis is a plus.
• 1-10 years experience working as a Geologist preferred.

Common Tasks:

• Maintain Internal Base Maps and Cross-Sections.
• Organize Geological Data Files from Internal and External Sources.
• Maintain SQL Tables of Subsurface Data Inventory.
• Integrate new Geologic Data into Existing Models.
• Prepare Geological Data for Reservoir Modeling and Analysis.
• Load and Export Geological Data from the Kingdom.
• Document Status of Basin Wide Projects.

Job Description:

Being part of our global petrotechnical team, this role will predominantly focus on the Oil & Gas vertical, offering insights, and expertise pertaining to the on-shore US territories. The position is an exceptional opportunity for individuals looking to build their career with an international firm and work in close collaboration with veterans from the top US shale operators.

Responsibilities:

• Undertake reservoir evaluations and interpretations to assess the viability and profitability of oil and gas extraction.
• Perform production analysis and forecasting across multiple onshore U.S. basins.
• Utilize proprietary software tools for predictive analyses regarding production levels.
• Deconstruct field development strategies of shale operators and use learnings to determine appropriate assumptions for future development plans
• Oversee data organization and maintain an internal database of the geological formations, field development plans and production forecasts.
• Work with the Investment Team, assisting in cost estimations, production forecasting, and risk assessments.
• Interface with multidisciplinary teams including geoscientists, reservoir engineers, and financial experts.

Qualifications:

• Minimum of a BS in Petroleum Engineering. MS or PhD is a plus, especially if research topic aligns with the domain of Estimation of Reserves, Petroleum Economics or Production Forecasting.
• 1-4 years of hands-on experience in Petroleum Engineering, with a focus on reservoir engineering or reserves reporting.
• Demonstrated ability in theory and application of Decline Curve Analysis.
• Familiarity with upstream Oil & Gas sector processes and technologies.
• Familiarty with unconventional reservoirs and completion technologies.
• Knowledge of basic finance concepts.
• Basic usage of data visualization tools such as Spotfire or Tableau.

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 oil and gas reservoirs.
• Experience in drilling operations, well testing, and production optimization.
• Skills in Python (Numpy, Pandas, scikit-learn) and SQL are a significant plus.
• Proficiency in data visualization tools such as Spotfire or Tableau.
• Effective communication and presentation skills, capable of liaising with multidisciplinary teams.

Job Description:

As part of our global Petro technical team, this role will predominantly focus on the Oil & Gas vertical, providing insights and expertise related to onshore U.S. opportunities. This position offers an exceptional opportunity for individuals looking to build their careers with an international firm and collaborate closely with veterans from top U.S. shale operators.

Responsibilities:

• 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