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Case Study: Modelling Refinery Processes

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Case Study: Modelling Refinery Processes

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Flex Process modelled most of an oil refinery using Pro/II, giving the client a platform to test modifications off-line, try out new operating regimes, and run different feed stocks, with no risk to the process.

Flex Process modelled most of an oil refinery using Pro/II, giving the client a platform to test modifications off-line, try out new operating regimes, and run different feed stocks, with no risk to the process.

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Case Study: Modelling Refinery Processes

  1. 1. Case Study: Modelling Refinery Processes Site-wide steady state Process Simulation provides in-depth understanding of processes Client: Milford Haven Refinery
  2. 2. Who are we? Process engineering consultancy Specialising in advanced modelling techniques, to give answers that are more accurate, reliable and robust Expertise in HYSYS, PRO/II, Dynsim Decades of process and mechanical engineering experience Combine cutting edge simulation with real world understanding, to provide you with solutions that are effective and practical. Core team of eight engineers, supported by a wide network of associates. Extensive simulation experience across a range of industries Page  2
  3. 3. Our Client: Milford Haven Refining Refinery 130,000 bpd, built 1973 Upgraded several times, recent upgrade +50% Originally designed for North Sea Crude Needed to increase production further by 10% and improve yields to remain competitive Relief and flare systems were reaching their limits Page  3
  4. 4. Purpose for Modelling Detailed steady state models developed to: Optimise operations (evaluate impact of various crude types and impact of crude tower operating conditions) Support project work (sizing equipment, mass balancing) Identify bottlenecks to throughput (column flooding, exchanger pressure drop, pump-around limitations) Aid understanding of process and choice of suitable crudes Assist rating of dynamic simulation models (safety studies, flare sizing) Page  4
  5. 5. Steady State Simulation Accurate, integrated models of key refinery units built from actual refinery drawings and using plant data. Crude Tower / Vacuum Tower and Preheat Train Debutaniser, Virgin and Cat Naphtha Splitters LPG Train (Depropaniser, Debutaniser) Naphtha Reformer Isomerisation Kerosene Hydrotreater Diesel Hydrotreater Ancillary systems (Fuel Gas, Sour Water, Amine) Page  5
  6. 6. Feed Characterisation Extensive Data Gathering and Analysis Crude Fractions Analysis (back fit and forward fit approach) Identification of Paraffin, Cycloalkane, Naphthalene and Aromatic Content. Real component fit to C12 Naphthenes/Aromatics and FCCU products’ impact on site-wide hydrogen balance Wild Naphtha recycle streams Page  6 0 100 200 300 400 500 600 700 800 900 1000 0 20 40 60 80 100 120 Temperature(°C) Weight % Oil Assays Original Assay Simulation Assay
  7. 7. Page  7 Building Models Data Gathering Model Building Model Rating Testing and Reporting  We visit our clients, and obtain all the data we need  This includes searching through equipment libraries, reviewing operational trends, and mechanical surveys of pipework and equipment  Detailed input, including all columns, valves, pipe, and pumps  Rigorous models of heat exchangers to accurately simulate heat transfer, pressure drop, and the effects of fouling  We ensure the model matches plant data, from feed through to products.  Site set points and specifications directly compared with models  Once the models are ready, we can test anything the client needs  We supply a comprehensive report of our work, along with a full explanation of all of our recommendations How we work with our clients
  8. 8. Matching Plant Data – The Traditional Approach Page  8 Before modelling can commence, the client has to agree a reasonable set of conditions to match: Usually done as a point-in-time “snapshot” Must wait until the whole refinery has been running at steady conditions for a prolonged period Can be unrepresentative of normal operation (e.g. operating at unusual set point) Susceptible to short term issues, such as ambient conditions, faulty instruments, or fouling
  9. 9. Matching Plant Data – Our Approach To avoid the shortcomings of using “snapshots” of data, we combined this with our own software. This let us: Page  9 Visualise large sets of data Examine months or years of operation Amend outliers in snap-shot data Identify most common set points Understand how units are run before we began
  10. 10. Model Building Page  10 We put every detail we could find into the models Column plate hydraulics Heat exchanger layouts Pipe isometrics This allowed us to harness powerful unit simulations that accurately predict heat transfer, mass transfer, and pressure drop.
  11. 11. Summary Page  11 Accurate, Integrated Steady State Simulation Models developed for key refinery operations Models have multiple applications from Scheduling, Operations, Projects and Process Safety Significant man hour saving in having consistent process data for troubleshooting and project work Dynamic simulation models quickly developed from steady state models Extensive Site Survey resulting in new Library of Plant Information
  12. 12. Summary Page  12 Consultancy. Project Delivery. Innovation. Please get in touch to find out how we can help your business today. E: enquiries@flexprocess.co.uk W: flexprocess.co.uk T: +44 1454 629 689

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