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Multi-periods, Multi-blends Non-linear Offline Blend Optimizer

By Suresh Agrawal 08 September, 2015
Multi-periods, Multi-blends Non-linear Offline Blend Optimizer

Table of Contents

    Background

    The planning of refinery blend products and the subsequent optimal control of the blending process has a significant immediate impact on refinery profitability and excess inventory. gomsPOFBlend™ off-line blending planning package considers production planning, inventory management, and the quality and value of blending components to optimize blending operations. It is a comprehensive package, which can be modularly integrated in a refinery’s MES structure.

    Applications

    Offline blend optimizer, planning and scheduling system (gomsPOFBlend™) can be used very effectively for:

    • Single recipe generation for Gasoline, Diesel and Fuel oil products
    • Multi-period blend planning for weekly inventory control and monthly production forecast
    • Conducting blend studies for operational change modeling and LP verification
    • Reblending to correct off-spec blends
    • Backcasting to calculate blend models parameters and bias terms
    • Analysis of compliance with EPA, CARB rules
    • Blend Recipe Management and Automatic downloading of next blends recipes to online execution

    Benefits

    • Shift usage of more economical components
    • Determine and exploit on-the-spot opportunities quickly
    • Link refinery-wide planning to short term logistics
    • Remove guesswork and artistry from blend planning
    • Production of economically optimum product blends, thereby adding to refinery’s bottom line profitability

    Online Blend Control and OptimizationFigure – 1 OMS Blend Control, Optimization and Planning System Hierarchy

    Features

    • Basic
      • Blending full range of gasoline grades, aviation jet to diesel fuel for distillate blends, and fuel oil blends.
      • Multi-period planning with inventory control constraints.
      • Number of multiple periods, feed-stock components, and product grades limited only by computer memory size availability.
      • Can choose non-linear predictive methods “on the fly” for qualities
      • Maximize profit, Minimize quality giveaway, Calculation only optimization Choices
      • Determine the header targets for properties for an online system
    • Advanced
      • Inventory Management – account for changing production and set time dependent limits
      • Group Specifications – property constraints over groups of blends
      • Heel Tracking – accounting for volume / qualities in tank already, for each use Component
      • Pooling – simulate rundowns
      • Generalized free-formatted linear and non-linear equations generation and management system (GAMS™)
      • User Selectable options for multiple Correlations for 36 qualities
      • 3 User definable blend qualities
    • Extended
      • Octane Blending Values – determine indices for use in LP’s
      • Blend Property Control Interfaces- send recipes directly to on-line system
      • Biases – add values to correct consistent errors

    Stock Availability Data EntryFigure – 2 Stock Availability Data Entry

      • Giveaway Ranges – ensure blend remains close to specification
      • Infeasibility Control – recover from “impossible” situations, relax constraints until solution is found
      • “Distress” Buy / Sell – provides indication of why problem won’t solve, calculate volume / quality needed to make an infeasible problem solve
    • Environmental
      • EPA RFG Models – blend to emission specifications, ignores extrapolations at iteration-level (may impact), report exactly as written
      • CARB Phase II Predictive Model – report emissions, report acceptability
    • Modeling and Correlations
      • Preferred Recipe Penalties – encourages model to stay near a preferred Starting recipe
      • Product Group Limits – volume constraints over groups of blends
      • Product Group Relations – relate production of blends to each other
      • User selectable built-in well proven correlations for over 40 properties for gasoline, diesel and fuel including EPA RGF and CARB models
      • Optimal scheduling of multi-period blends

    Reports ManagerFigure – 3 Reports Manager

    Interfaces

    gomsPOFBlend™ allows direct interface with

    • Regulatory and Online blend control and optimization system (gomsPONBlend™)
    • Laboratory and Tank gauging data
    • gomsTQTS™ for online tank quality tracking system.
    • Blend Information Management System for feedback of model biases (gomsBIMS™)

    Economics

    Economically, it is estimated an annual savings of 750K–1.5MUS$ by Offline Recipe Optimization, and planning and Scheduling of blends.

    System Requirements

    Intel Core i7 or equivalent, 3+ GHz, 32GB RAM, 1TB+ HDD, CD ROM, 17”+ color monitor, Windows 7 and higher OS

    Contact Information

    Offsite Management Systems LLC
    2003 Baker Estates Dr. Houston, Texas 77094, USA
    Tel: +1-832-821-8001 Fax: 866-450-4035
    Email: info@globaloms.com Web: www.globaloms.com

    Copyright 2000-2015 Offsite Management Systems LLC. All rights reserved. OMS™, OMS logo (Tri-circle Triangle), ”…Redefining Excellence”, gomsTIMS™, gomsTQTS™, gomsPONBlend™, gomsPOFBlend™, gomsBIMS are trademarks of Offsite Management Systems LLC, USA.

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