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About the role
Role Overview As a skilled Wells Research/Geomechanics engineer with a computational background, you will be responsible for driving innovation and enhancing well performance across global assets. Your role will involve a combination of technical, analytical, and project management responsibilities to drive efficiency in upstream oil and gas operations. Responsibilities What will you do: - Build computational models and simulations using competencies in solids/fracture mechanics and slurry flow modeling to develop new technologies, enhance design and operational practices, and address evolving business needs. - Conduct research and development on new technologies, methods, or best practices using simulation models to provide engineering design recommendations for business decisions. - Correlate the field experimental data with numerical simulations and generate insights for improvement of field development processes. - Interpret field experimental data (DAS/pressure/tracer data) and generate data-driven insights to evaluate technologies and provide inputs to business decisions. - Work with reservoir engineers, drilling and completion experts, computational and data scientists, and laboratory scientists across the globe to enhance understanding of subsurface technologies and tools. - Prepare technical reports, presentations, and documentation for internal and external stakeholders. Qualifications About you: - Masters or Dual Degree or PhD in Mechanical Engineering, Civil Engineering, Chemical Engineering, Petroleum Engineering, or related disciplines with a minimum GPA of 7.0. - Experience in hydraulic fracture modeling in unconventional reservoirs is of highest value. - Research/industrial experience in fracture mechanics or solid-liquid multiphase flow is required. - Experience with data manipulation and visualization in any programming language (preferably Python) for analyzing experimental, simulation, or sensor data is required. - Knowledge about various diagnostics interpretation used for fracture characterization would be a plus. - Experience in data science (e.g., machine learning, optimization), Spotfire/PowerBi dashboards development, Azure Databricks will be an added advantage. - Demonstrated teamwork, communication, and leadership skills are essential. About Us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the worlds largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by pride in what we do and what we stand for. Please note that benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Companys eligibility guidelines. Role Overview As a skilled Wells Research/Geomechanics engineer with a computational background, you will be responsible for driving innovation and enhancing well performance across global assets. Your role will involve a combination of technical, analytical, and project management responsibilities to drive efficiency in upstream oil and gas operations. Responsibilities What will you do: - Build computational models and simulations using competencies in solids/fracture mechanics and slurry flow modeling to develop new technologies, enhance design and operational practices, and address evolving business needs. - Conduct research and development on new technologies, methods, or best practices using simulation models to provide engineering design recommendations for business decisions. - Correlate the field experimental data with numerical simulations and generate insights for improvement of field development processes. - Interpret field experimental data (DAS/pressure/tracer data) and generate data-driven insights to evaluate technologies and provide inputs to business decisions. - Work with reservoir engineers, drilling and completion experts, computational and data scientists, and laboratory scientists across the globe to enhance understanding of subsurface technologies and tools. - Prepare technical reports, presentations, and documentation for internal and external stakeholders. Qualifications About you: - Masters or Dual Degree or PhD in Mechanical Engineering, Civil Engineering, Chemical Engineering, Petroleum Engineering, or related disciplines with a minimum GPA of 7.0. - Experience in hydraulic fracture modeling in unconventional reservoirs is of highest value. - Research/industrial experience in fracture mechanics or solid-liquid multiphase flow is required. - Experience with data manipulation and visualization in any programming language (preferably Python) for analyzing experimental, simulation, or sensor data is required. - Knowledge about various diagnostics interpretation used for fracture characterization would be a plus. - Experience in data science (e.g., machine learning, optimization), Spotfire/PowerBi dashboards development, Azure Databricks will be an added
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