Oil and Gas Technical Trainings
Refinery Linear Programming, Planning and Margin Optimization
Translate crude, unit, product and market constraints into refinery LP cases and explain the operational meaning of optimized plans.
Overview
Practical learning for workplace transfer.
Translate crude, unit, product and market constraints into refinery LP cases and explain the operational meaning of optimized plans. Participants work through five connected modules using discipline-specific evidence, calculations and an applied decision case.
Prerequisites
Prior exposure to process operations, PFDs and engineering calculations is recommended.
Objectives
- Interpret refinery economics and lp foundations using traceable evidence and an explicit decision criterion.
- Calculate crude assays, yields and unit representations using traceable evidence and an explicit decision criterion.
- Diagnose product blending and specification constraints using traceable evidence and an explicit decision criterion.
- Evaluate marginal values, scenarios and model diagnosis using traceable evidence and an explicit decision criterion.
- Deliver monthly refinery plan optimization workshop using traceable evidence and an explicit decision criterion.
Target audience
- Process, operations and process-safety engineers
- Control, inspection and technical-assurance specialists
- Technical assurance, data and reliability practitioners
- Supervisors and discipline leads responsible for operational decisions
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: Refinery economics and LP foundations
Interpret the source measurements, engineering assumptions and acceptance criteria governing Refinery economics and LP foundations
Calculate or model the key performance quantities for Refinery economics and LP foundations and reconcile the result against field evidence
Complete a Refinery Linear Programming, Planning and Margin Optimization exercise that converts Refinery economics and LP foundations findings into a documented technical decision
Module 2: Crude assays, yields and unit representations
Calculate or model the key performance quantities for Crude assays, yields and unit representations and reconcile the result against field evidence
Diagnose failure modes, uncertainty and operating limits associated with Crude assays, yields and unit representations
Build an assurance checklist, action owner and review trigger for Crude assays, yields and unit representations
Module 3: Product blending and specification constraints
Diagnose failure modes, uncertainty and operating limits associated with Product blending and specification constraints
Complete a Refinery Linear Programming, Planning and Margin Optimization exercise that converts Product blending and specification constraints findings into a documented technical decision
Interpret the source measurements, engineering assumptions and acceptance criteria governing Product blending and specification constraints
Module 4: Marginal values, scenarios and model diagnosis
Complete a Refinery Linear Programming, Planning and Margin Optimization exercise that converts Marginal values, scenarios and model diagnosis findings into a documented technical decision
Build an assurance checklist, action owner and review trigger for Marginal values, scenarios and model diagnosis
Calculate or model the key performance quantities for Marginal values, scenarios and model diagnosis and reconcile the result against field evidence
Module 5: Monthly refinery plan optimization workshop
Build an assurance checklist, action owner and review trigger for Monthly refinery plan optimization workshop
Interpret the source measurements, engineering assumptions and acceptance criteria governing Monthly refinery plan optimization workshop
Diagnose failure modes, uncertainty and operating limits associated with Monthly refinery plan optimization workshop
Materials provided
- Course-specific technical workbook
- Engineering datasets and diagnostic exercises
- Decision templates and quality checklists
- Applied capstone case
- 4D Certificate of Completion
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
4D adapts the technical depth, evidence, calculations and capstone decisions to the client's assets, operating context and participant responsibilities.
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