Process Engineer - TSI

Overview

Process Engineer in the Production and Support Systems Squad within bp's Production Management Unit (PMU), delivering monitoring, surveillance and optimization of production systems in the upstream oil and gas environment.

What you'll do

• Conduct routine monitoring and surveillance of production systems using deployed analytical tools to identify anomalies and alerts.
• Conduct routine optimization of production systems as part of a cross-discipline petroleum and process engineering effort to identify improved operating points applying BP Vertex toolset.
• Partner with production delivery units on alerts and findings to ensure early intervention/execution and value realization.
• Collaborate with BP Technology to deploy standardized process supervising solutions and improve existing toolkit.
• Lead delivery of custom process monitoring and surveillance solutions in Palantir Foundry environment, with a focus on early detection of weak signals related to equipment and system performance degradation.
• Actively participate in the global PMU Process field to develop, deploy and embed new insights and solutions.
• Collaborate with other PMU fields (Rotating equipment, Automation, Power, Petroleum, Subsea, Production Chemistry) to deliver coordinated insight and equipment performance understanding.
• Support other regions on high priority PMU activities/work in the monitoring, surveillance and optimization (as needed).
• Follow workflow management using agile principles established in the regional PMU P&SS squad.
• Support stand-up of new PMU hubs in the Wave 2 regions (as needed).

What you'll need

• Bachelor's degree in Process or Chemical Engineering.
• Process engineering knowledge of unit operations in the upstream oil and gas environment.
• Experience in supporting facilities through surveillance, monitoring and optimization.
• Process simulation and modelling skills using Hysys.
• Strong communication skills and the ability to work with multiple collaborators and across related engineering fields.

Nice to have

• Experience in analyzing operational plant data to identify, understand and then propose solutions to operational issues.
• Experience in optimization of production operations across 4 chokes (reservoir, wells, plant and export) as a part of cross-disciplinary team.
• Experience with developing dashboards, analytics and analysis in Palantir Quiver; familiar with Workshop, Fusion and Contour applications.
• Understanding of data science aspects related to forecasting and pattern analysis for solving equipment issues.
• Understanding AI and machine learning applications in identifying equipment performance anomalies.
• Understanding of agile principles for workflow management.

Details

• Location: Pune, India.
• Up to 10% travel should be expected with this role.
• Eligible for relocation within country.
• Not available for remote working.