Job Summary

Provide technical support to reservoir engineering activities, contributing to reservoir modelling, data analysis, forecasting and reservoir surveillance tasks. Support senior engineers in delivering reservoir studies, production forecasts and well support to optimize recovery and inform development decisions.

Key Responsibilities

• Support preparation and maintenance of static and dynamic reservoir models, including data entry, quality checks and simple history‑matching tasks.
• Assist in generation of production forecasts, decline curve analyses and scenario modelling under supervision.
• Help compile input datasets (PVT, geological properties, well data, test results) and maintain reservoir databases.
• Perform routine reservoir engineering calculations (OOIP/OGIP estimates, material balance, volumetrics, recovery factor) and sensitivity analyses.
• Support pressure transient and production data interpretation, basic well test analysis and PLT/PT studies.
• Prepare plots, figures and technical summaries for internal reports, well proposals and management presentations.
• Contribute to reservoir surveillance activities: monitor production performance, identify anomalies and support cause‑and‑effect analyses.
• Participate in integrated team reviews, well planning meetings and support drilling/completions teams with subsurface inputs as required.
• Produce clear and accurate documentation of work, maintain version control and follow corporate technical standards.
• Learn and apply best practices in uncertainty analysis, risk assessment and reservoir management under mentorship.
• Undertake assigned training and competency development plans; support continuous improvement and digital initiatives.

Qualifications

• Degree in Petroleum Engineering, Geoscience or related technical discipline; postgraduate qualification preferred.
• 0-2 years’ relevant experience; internships, industrial placements or thesis work in reservoir engineering advantageous

Technical Skills & Knowledge

• Basic understanding of reservoir engineering fundamentals: material balance, decline curves, PVT, relative permeability and basic well deliverability concepts.
• Familiarity with reservoir simulation and modelling tools is desirable; willingness to learn industry software.
• Proficiency with Excel for data analysis and basic programming/scripting (Python, MATLAB) advantageous.
• Competence in data management, quality control and visualization (plots, crossplots, production vs forecast).
• Awareness of well testing, production logging and subsurface data sources.

Behavioural & Interpersonal Skills

• Strong analytical and numerical skills with attention to detail.
• Effective communicator able to present technical findings clearly to engineers and multi‑disciplinary teams.
• Team player, proactive learner, and adaptable to evolving priorities and field/office conditions.
• Good time management and ability to work under supervision and independently on assigned tasks.

Experience & Conditions

• Exposure to field data collection or wellsite visits is desirable; willingness to travel for site visits and work in remote locations when required.
• Office environment with occasional field assignments; may require extended hours to support time‑critical studies.

• Performance Indicators
• Accuracy and timeliness of assigned modelling tasks, data QA/QC and technical deliverables.
• Quality of supporting analyses provided to senior engineers and integrated teams.
• Progress against individual competency and training plans.
• Contribution to identification of production issues or opportunities and support to corrective actions.
• Adherence to technical standards, documentation practices and data management procedures.

Desirable

• Coursework or projects in reservoir simulation, formation evaluation, well testing or production optimization.
• Familiarity with scripting (Python/MATLAB) and data visualization tools.
• Postgraduate study or relevant industry short courses.
• Membership of professional bodies or participation in industry training (SPE events, workshops).