Refinery Planning Engineer

About the Role:

Grade Level (for internal use):

12

The Team: At S&P Global, Refinery Cost and Margin Analytics (RCMA) service assesses the cost, margin, and carbon emissions positions of ~ 500 global operating refineries at the asset level, with a forecast of their performance. The RCMA Team (a.k.a. Village) consists of petroleum and chemical engineers, chemists, MBAs, and CFAs. You will bring your refinery optimization and Linear Programing (LP) modeling expertise and support to the RCMA Village, and the growth of our RCMA business.

Responsibilities and Impact: Your role will involve working with and adjusting our RCMA (PIMS-based) models to calibrate our estimates with refinery-specific reported data and results. The success of this role will directly drive customer adoption of the RCMA as we demonstrate the accuracy of our refinery models and their operating data estimates.

Primary

• Run the refinery LP models to optimize refinery systems operations.
• Collaborate with all concerned organizations to determine the optimum mode of operation for the facilities.
• Maintain the hydrocarbon LP models by adding or deleting process units and updating yields and stream properties.

Advanced

• Define data and work processes required to maintain and update LP models.
• Perform "back-casting" and issue a monthly report on the LP gap, along with required mitigations.
• Add new LP structures to enhance optimization with more operational options for the hydrocarbon systems.

Expert

• Conduct special refinery economic studies using the LP model.
• Stay updated with new best practices in LP modeling.
• Review operational facility debottlenecks and recommend mitigation measures.

What Were Looking For:

Required Skills:-

• Bachelors degree in chemical engineering or a related field.
• 12-15 years of professional experience in the oil and refinery industries.
• Expertise in LP modeling, with 5+ years of experience in using Aspen Tech's PIMS software.
• In-depth understanding of refinery processing units.
• High proficiency in English speaking and writing.
• Demonstration of excellent team collaboration skills.

Preferred Skills:-

• Thorough knowledge of LP modeling engineering practices, economic principles, and calculation methods.
• Experience in independently creating PIMS models.
• An MBA or relevant advanced degree