Reservoir Engineer- Technology Development

What you will do

Build computational models and simulations using proprietary and vendor tools to develop new technologies, enhance design and operational practices and address evolving business needs. Build or update high fidelity reservoir simulation models, history-match using available field data, and forecast dynamic predictions using calibrated models Perform data QA/QC and correct anomalies, analyze trends to recognize deviations and inconsistencies Interpret field experimental data (DAS/pressure/tracer data) and generate data driven insights to evaluate technologies and provide inputs to business decisions Conduct fit for purpose reservoir simulation analysis to accurately predict dynamic performance and provide appropriate technical inputs to support business decisions like workovers, infill drilling, facility capacity & operational thresholds, field development and reserves estimation Quantify subsurface uncertainties using multi scenario modeling methods Conduct research and development on new technologies, methods, or best practices using simulation models to provide engineering design recommendations for business decisions. Work closely with global business units and central capability groups to integrate geologic, reservoir and production data into reservoir simulation models, conduct or coordinate reservoir studies to robustly assess dynamic performance of our conventional, heavy oil, unconventional and carbon storage reservoirs Collaborate with geologists, wells/completion engineers, data scientists, and petro-physicists, as needed, to ensure that the range of uncertainty in dynamic performance predictions are presented to management Support evaluation and enhancement of reservoir simulation workflows, tools and technologies Prepare technical reports to share results and analysis of simulation studies with internal and external stakeholders

About You

Skills and

Qualifications

Master’s or Dual Degree or PhD from a recognized university in petroleum /chemical/ mechanical/other relevant engineering disciplines Minimum 3 years of experience in computational or reservoir simulation Minimum 3 years of experience in the upstream oil and gas industry Strong analytical skills to evaluate critical operating parameters through data and trend analysis For petroleum engineers, knowledge of basic reservoir engineering concepts including reservoir simulation, analytical performance prediction, and economics metrics Good fundamental understanding/experiences in fluid mechanics, porous media flow, computational fluid dynamics Hands-on experience using proprietary or vendor engineering analysis tools and software applications appropriate to the corresponding engineering disciplines Experience in data science, machine learning will be an added advantage Mentorship and team leadership experience will be an added advantage

Preferred Qualifications

/ Experience Experience in computational and/or data science (e.g., computational fluid dynamics, 3D modeling, machine learning, and optimization) For petroleum engineers, experienced using reservoir (flow) simulation software such as Eclipse, Petrel RE, Intersect, tNavigator, CMG or equivalent is required Experience in one or more programming languages such as MATLAB/C/Python will be an advantage Experience working in Tableau and Power Bi will be an advantage Experience in working with problems related to EOR, reservoir engineering, geomechanics, fracture mechanics is preferred. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to i