Reservoir Engineer

Entity: Technology Job Family Group: Subsurface Group Job Description: You will work with BP’s Technology Upstream R&D (URD) group is at the forefront of leading-edge technology development and innovation. Our goal is to advance our ways of working to facilitate safer, rapid and reliable operations across the bp portfolio. bp is modernising and enhancing its subsurface toolkit. This includes moving to a GPU-enabled reservoir simulator and building/deploying agentic workflows. The initial objective of this role (for at least the first 12 months) will be to lead and perform reservoir simulation model conversions from Halliburton Nexus format to the Eclipse format. You will work with regional teams to perform, QC and troubleshoot this process, ensuring the resulting models capture the relevant Physical processes, development scheme and operating philosophy of each field. Minimising and understanding any differences in predicted recovery. Upon completion of the reservoir simulator conversion project, this role will broaden to utilising your broad reservoir engineering experience, coupled Python, machine learning, high performance computing (HPC), AI and analytics, to support the transformation of subsurface ways of working. In your work you will partner with region and central staff, across subsurface, Digital Delivery and bp’s CHPC facility. This work will focus on technology development, workflow automation and next-generation simulation techniques. Using industry tools and bp’s open source ResSimpy Python package, you will convert models between simulation formats and use your reservoir engineering experience to QC, understand and quantify any differences in response. You will lead interactions with asset teams to understand individual model requirements and provide a robust and efficient conversion to the new format. Some of the work will be hands-on editing, directly applying your skills and experience. You will also make use of AI agents. For each model converted, you will capture and codify the lessons learnt, so that each new conversion is smoother and more streamlined than the last. The model conversion work will be a time-boxed activity (estimated to be circa 12 months). When complete, activity will pivot to utilising your broad classical and reservoir engineering skills, coupled with data science to develop innovative solutions to complex subsurface challenges: Develop Python code to speed up subsurface workflows or improve predictability through broadening the understanding of uncertainty Provide sound Reservoir Engineering technical analysis and judgement in solution development Automate and parallelise subsurface workflows making use of bp’s High Performance Computing centre Provide technical support and guidance of deployed technology solutions Provide coaching to other members of the team Apply reservoir engineering concepts to integrate across subsurface disciplines such as geoscience and well delivery. Agentic systems will likely form an important part of the subsurface ecosystem that you help deliver and support. What you will need to be successful Must have educational qualifications: Bsc / Msc degree (or equivalent) in Petroleum/ Reservoir Engineering, related applied science engineering or mathematics Must have experiences/skills (To be hired with): Experience with common reservoir simulation tools (e.g. Eclipse, Nexus, Intersect). Experience in coding with the Python language. Track record as a Reservoir Engineer with experience in model building, QA/QC, history matching and model analysis. Working understanding of reservoir analysis fundamentals such as pressure transient analysis, decline curve analysis and material balance. Knowledge of data science techniques such as machine learning, AI Experience dealing with subsurface uncertainty management Passion for creating innovative technology solutions Skilful communication and influencing skills, with track record of sharing learnings Able to manage multiple activities and quickly respond to changing business priorities Able to cope with short-term deadlines and flexible prioritization acting as a squad member as required Minimum years of relevant experience: Minimum 5 years experience as Reservoir Engineer, with experience in reservoir simulation. Good to have experiences/skills (can be trained for – learning/on-the-job): Coding with Jupyter notebooks Interactions with high performance compute clusters Code management tools such as version control Experience with classical RE toolkits (e.g. PETEX IPM, Kappa (Saphir)) You will work with You will work in Pune, India in squads as part of the Technology - Upstream R&D (URD) Subsurface & Wells (SS&W) group, with team members from both Houston, USA and London, UK. You will be remotely deployed into an international, integrated, delivery ‘squad’ where day-to-day activities/deliverables will be prioritised by the squad leader in service of technology deployment. Squads typically consist of 5-10 m