Senior Engineer, Reservoir Management

Oil and Gas Job Search Ltd

Job Purpose

About the Company

We are the largest oil producer within the ADNOC Group, accounting for over half of ADNOC’s total oil production. As the country’s oldest oil production company, our operations date back to 1939, when a 75-year concession was signed to explore for oil and gas in Abu Dhabi. As a global industry leader in environmental sustainability, we are the first in the world to capture carbon from the iron and steel industry. Our Carbon Capture, Utilization, and Storage (CCUS) facility at Al Reyadah has the capacity to capture 800,000 tonnes of carbon dioxide (CO2) from Emirates Steel Industries (ESI) each year, for use in the Bab and Rumaitha oil fields to support Enhanced Oil Recovery (EOR). Al Reyadah is, therefore, a critical enabler of ADNOC’s 2030 sustainability goals.

Provides expert reservoirs engineering input to multidisciplinary projects including field development planning, reservoir performance analyses and reservoir estimation of production / injection capacities. Leads reservoir management studies, performance review and optimization using appropriate techniques.

Job Specific Accountabilities

About the Job

  • Provides expert reservoirs engineering input to multidisciplinary projects including field development planning, reservoir performance analyses and reservoir estimation of production / injection capacities. Leads reservoir management studies, performance review and optimization using appropriate techniques.

Key Accountabilities

  • Caries out all aspect of reservoir management activities including field development, performance evaluation, formulate reservoir development, data acquisition, strategic surveillance and monitoring master plans to ensure optimal development and depletion strategies, reservoir & asset evaluation, Vertical & Lateral communication well prognosis, and supervises the integration between fields.
  • Identifies, justifies, develops the implement of workflow to evaluate and manage the field in line with industry best practices. Uses advanced reservoir-engineering techniques and integrate dynamic & static data to identify field movement and implement optimization plans to maximize profitable recovery to enhance both NPV and hydrocarbon recovery and minimize UTC value.

Job Specific Accountabilities

  • Governs field’s production and injection capacities according to company objective guidelines along with drilling workover schedules and identify mitigations in case of shortfalls.
  • Identifies workflows to carry out pattern balancing and ensures efficient production and injection process to maximize the vertical and lateral sweep efficiency. Lead, design and participate in integrated field reviews and field development plans (RMP considering the current wells and planed infill wells).
  • Designs, leads Integrates with feedback from simulation engineer in order to improve well sector and full field development performance review.
  • Designs and leads the implementation of the project surveillance programs including pressure transient surveys, tracer surveys, interference testing, observation well placement and cased hole logging programs.
  • Provides expertise to identify and support reservoir-engineering studies using apocopate techniques, which may include reservoir simulation, material balance, decline curve analysis.
  • Conducts open-hole and cased-hole logs, geological modelling, simulation, completion and production procedures and technologies.
  • Prepares reservoir-engineering and planning overview input into drilling and work-over proposals and programs (E-Prognosis).
  • Follows up RE requirements in the exploration wells during drilling and update the plan as Formation Pressure Test log (XPT) to confirm fluids contact and gradients and fluid properties.

Minimum Qualification

  • Bachelor Degree Reservoir/Petroleum/Chemical Engineering or equivalent.
  • 8 years of experience in reservoir engineering including oil and gas fields’ development management and Full Field simulation studies (use of hardware & software models).

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