{"id":"9920219717","title":"Reservoir Engineer- Technology Development (Bangalore, KA, IN, 560066)","posted_at":"2026-08-07T06:02:36.000Z","apply_url":"https://jobs.exxonmobil.com/job/Bangalore-Reservoir-Engineer-Technology-Development-KA-560066/1386480800/","locations":null,"employment_type":null,"workplace_type":null,"seniority_level":"mid","description_language":"en","source_name":"successfactors_rmk","source_url":"https://jobs.exxonmobil.com/job/Bangalore-Reservoir-Engineer-Technology-Development-KA-560066/1386480800/","salary":null,"job_summary":null,"job_description":null,"description_text":"About us\n\nAt ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.\n\nThe success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.\n\nWe invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together.\n\nWhat role you will play in our team\n\nWe are looking for experienced engineers with minimum 3 years in the upstream oil and gas industry, who will drive innovation and conduct reservoir simulation studies to support ExxonMobil's global portfolio of Deepwater, Conventional, Heavy Oil & Unconventional assets.\n\nWhat you will do\n\nBuild computational models and simulations using proprietary and vendor tools to develop new technologies, enhance design and operational practices and address evolving business needs.\n\nBuild or update high fidelity reservoir simulation models, history-match using available field data, and forecast dynamic predictions using calibrated models\n\nPerform data QA/QC and correct anomalies, analyze trends to recognize deviations and inconsistencies\n\nInterpret field experimental data (DAS/pressure/tracer data) and generate data driven insights to evaluate technologies and provide inputs to business decisions\n\nConduct 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\n\nQuantify subsurface uncertainties using multi scenario modeling methods\n\nConduct research and development on new technologies, methods, or best practices using simulation models to provide engineering design recommendations for business decisions.\n\nWork 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\n\nCollaborate 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\n\nSupport evaluation and enhancement of reservoir simulation workflows, tools and technologies\n\nPrepare technical reports to share results and analysis of simulation studies with internal and external stakeholders\n\nAbout You\n\nSkills and Qualifications\n\nMaster's or Dual Degree or PhD from a recognized university in petroleum /chemical/ mechanical/other relevant engineering disciplines\n\nMinimum 3 years of experience in computational or reservoir simulation\n\nMinimum 3 years of experience in the upstream oil and gas industry\n\nStrong analytical skills to evaluate critical operating parameters through data and trend analysis\n\nFor petroleum engineers, knowledge of basic reservoir engineering concepts including reservoir simulation, analytical performance prediction, and economics metrics\n\nGood fundamental understanding/experiences in fluid mechanics, porous media flow, computational fluid dynamics\n\nHands-on experience using proprietary or vendor engineering analysis tools and software applications appropriate to the corresponding engineering disciplines\n\nExperience in data science, machine learning will be an added advantage\n\nMentorship and team leadership experience will be an added advantage\n\n Preferred Qualifications / Experience\n\nExperience in computational and/or data science (e.g., computational fluid dynamics, 3D modeling, machine learning, and optimization)\n\nFor petroleum engineers, experienced using reservoir (flow) simulation software such as Eclipse, Petrel RE, Intersect, tNavigator, CMG or equivalent is required\n\nExperience in one or more programming languages such as MATLAB/C/Python will be an advantage\n\nExperience working in Tableau and Power Bi will be an advantage\n\nExperience in working with problems related to EOR, reservoir engineering, geomechanics, fracture mechanics is preferred.\n\nNothing 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.\n\nExxon 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 indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.","visa_sponsorship":null,"experience_years_min":null,"job_address":null,"job_city":null,"job_state":null,"job_country":null,"location_lat":null,"location_lng":null,"closed_at":null,"closes_at":null,"apply_with_ai_eligible":false,"keywords":["machine learning","data scientists","recommendations","relationships","stakeholders","data science","Collaborate","performance","experiences","engineering","mentorship","production","reporting","workflows","strategy","business","modeling","regional","internal","external","evaluate","research","analyze","develop","design","vision","global","trends","Python","local","Legal","data","3D"],"company":{"name":"ExxonMobil","slug":"exxonmobil","logo_url":"https://img.logo.dev/corporate.exxonmobil.com?token=pk_X1kMlqZGQKyGs3nVekpDWQ&size=64&format=png&fallback=404","description":"ExxonMobil is a leading oil and gas company that operates in the petrochemical, refining, and energy sectors, focusing on instrumentation, controls, automation, and asset reliability across the full lifecycle of its energy assets.","website_url":"https://corporate.exxonmobil.com/","linkedin_url":"https://www.linkedin.com/company/exxonmobil","glassdoor_url":null,"x_url":null,"instagram_url":null,"youtube_url":null,"github_url":null,"huggingface_url":null,"tiktok_url":null,"crunchbase_url":null,"facebook_url":null,"employee_count_range":"10000+","employee_count":57900,"founded_year":1882,"headquarters":{"address":"22777 Springwoods Village Parkway, Spring, TX 77389, United States","city":"Spring, TX","country":"US","lat":30.103242,"lng":-95.446152},"industry":"energy","company_type":"other","total_funding_usd":null,"locations":null},"visa_sponsorship_source":null,"h1b_filings":null,"can_apply":false,"application":null}