Title:  Refining & Optimization specialist- Linear programming

Overview

We are seeking a Linear Programming (LP) Engineer with extensive hands-on expertise in refinery optimization and economics to join our Operation Engineering Solutions Department (OESD).

OESD provides specialized and timely operations and process engineering support to all process technologies operated in both wholly-owned and affiliates' refining and chemicals operating facilities, collectively known as Saudi Aramco Global Manufacturing.

As a Linear Programming (LP) Engineer, you will be responsible for developing, updating, and running LP models for existing and new refineries, conducting rigorous simulation and back casting, performing technical and economic evaluation of projects and opportunities, and providing expert technical advisory support to refinery management and staff.

Key Responsibilities

As the successful candidate you will be required to perform the following:

• Run LP models for existing and new refineries to identify areas for operation optimization and configuration. Use of LP models to identify margin improvement opportunities and develop business cases.
• Run LP models to validate and support optimization initiatives and studies generated by Global Manufacturing Excellence for the assets in aide of business case development.
• Improve refinery LP models and capturing modeling improvement added value through validation processes.
• Provide technical advisory support to refinery management and staff on various LP and optimization matters, such as crude selection, product slate, process units, and operational constraints. Communicate the LP results and recommendations effectively and persuasively, and follow up on the implementation and monitoring of the actions.
• Coordinate and collaborate with other GOD engineers and analysts, as well as other stakeholders such as refinery engineers, planners, schedulers, and marketers, to ensure alignment and integration of the LP models and objectives.
• Validate and calibrate the LP models using historical data and refinery test runs, and ensure the models reflect the current and future operating conditions and constraints. Document the model changes and updates, and communicate them to the relevant stakeholders.
• Support the development and maintenance of the global MPIMS model, which integrates all the wholly owned refineries and the global crude and product markets. Use the MPIMS model to optimize the crude allocation and product slate for the global manufacturing network, and identify the optimal integration options and market opportunities.
• Participate in the LP gatekeeping process for wholly owned refineries and the global MPIMS model, and ensure the quality and consistency of the LP models and data. Review and approve the LP model changes and updates submitted by the refinery LP engineers, and provide feedback and recommendations as needed.

Minimum Requirements:

As a successful candidate you will hold a:

• Bachelor’s degree in Chemical Engineering. Advanced degree is preferred.
• A minimum of 15 years of LP experience in refining or gas plants (LP modeling, optimization, and economics).
• Proficiency in PIMS, Aspen HYSYS or PetroSim software, as well as other relevant tools and standards.
• Have developed rigorous simulation for refining process units such as Hydrocracking, FCC, DHT, CCR and delayed coker, have built a rigorous simulation model of a complete refinery.
• Have developed integration between rigorous simulation models and Aspen PIMS. Experience in developing and running LP models for complex and integrated refineries, and conducting scenario analysis and sensitivity studies.
• Strong knowledge of engineering practices, economic principles and calculation methods.
• Solid understanding of the refining processes and economics, as well as the global crude and product markets and trends.
• Ability to work independently and collaboratively in a fast-paced and dynamic environment, and manage multiple projects and tasks simultaneously.
• Strong presentation and reporting skills, and ability to communicate complex and technical information in a clear and concise manner.
• Strong initiative, creativity, integrity, and leadership qualities. You should be able to identify and seize opportunities for improvement and innovation, and lead and inspire others to achieve excellence and optimization.