Refinery Process Yields Optimization

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Refinery Process Yields Optimization
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E428

London (UK)

24 Aug 2026 -28 Aug 2026

6350

Overview

Introduction:

Refinery process yield optimization represents a structured function that governs the conversion efficiency, product distribution, and value maximization within refining operations. It aligns process configurations, feedstock characteristics, and operating conditions to enhance product yields and overall refinery performance. This training program presents yield optimization frameworks, process interaction models, and operational evaluation structures aligned with refining environments. It provides an institutional perspective on how refineries analyze process performance, manage variability, and improve product output through structured optimization approaches.

Program Objectives:

By the end of the program, participants will be able to:

  • Analyze refinery process yield structures across major conversion units.

  • Evaluate feedstock characteristics and their impact on product distribution.

  • Assess process variables influencing yield performance within refining systems.

  • Examine interaction between refining units and overall yield optimization models.

  • Explore performance monitoring and yield improvement frameworks within refinery operations.

Target Audience:

  • Refinery process engineers.

  • Production and operations supervisors.

  • Process optimization and planning professionals.

  • Chemical and petroleum engineers.

  • Professionals involved in refinery performance and efficiency.

Program Outline:

Unit 1:

Refinery Yield Structures and Product Distribution Models:

  • Refinery configuration within processing environments.

  • Product yield structures across refining units.

  • Material balance within refinery systems.

  • Product slate optimization within operational frameworks.

  • Relationship between configuration and yield outcomes.

Unit 2:

Feedstock Evaluation and Impact on Yields:

  • Crude oil characteristics within refining processes.

  • Feedstock variability within operational environments.

  • Impact of crude selection on product distribution.

  • Blending strategies within refinery systems.

  • Connection between feed quality and yield efficiency.

Unit 3:

Process Variables and Conversion Efficiency:

  • Operating conditions within refining units.

  • Temperature and pressure influence within conversion processes.

  • Catalyst behavior within refining reactions.

  • Conversion severity within process environments.

  • Relationship between process variables and yield optimization.

Unit 4:

Integration of Refinery Units and Yield Interaction:

  • Interaction between distillation and conversion units.

  • Flow dependencies within refinery systems.

  • Constraint management within processing environments.

  • Bottleneck identification within refinery operations.

  • Connection between unit integration and overall yield performance.

Unit 5:

Yield Monitoring and Optimization Frameworks:

  • Yield measurement structures within refinery systems.

  • Performance indicators within refining environments.

  • Data interpretation frameworks within yield evaluation models.

  • Deviation identification structures within production performance.

  • Relationship between monitoring frameworks and yield optimization outcomes.