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Consultancy. Project Delivery. Innovation. Case Study: Refinery Relief & Flare Study Dynamic Simulation justifies legacy relief header, avoiding £millions in capital expenditure Client: Milford Haven Refinery

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Page 1: Case Study: Refinery Relief & Flare Studyflexprocess.co.uk/wp-content/uploads/2014/07/Flex... · Case Study: Refinery Relief & Flare Study Dynamic Simulation justifies legacy relief

Consultancy.

Project Delivery.

Innovation.

Case Study: Refinery Relief & Flare Study

Dynamic Simulation justifies legacy relief header, avoiding £millions

in capital expenditure

Client: Milford Haven Refinery

Page 2: Case Study: Refinery Relief & Flare Studyflexprocess.co.uk/wp-content/uploads/2014/07/Flex... · Case Study: Refinery Relief & Flare Study Dynamic Simulation justifies legacy relief

Who are we?

Process engineering consultancy

Specialising in advanced modelling techniques, to give answers that

are more accurate, reliable and robust

Expertise in HYSYS Dynamics and 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 in a range of industries

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Project Background

Refinery 130,000 bpd, built 1973, upgraded several times over the years

Following recent significant upgrade needed to demonstrate that original

relief header still adequate

Capital cost of required upgrades could be significant

Disruption of changing existing relief header would affect production

Increasing focus from HSE regulator following some unit upsets

General lack of original data for relief and flare case justifications

Earlier studies were very checklist based – not delivering

Traditional approach to sizing flare headers is likely to be overly

conservative and may not properly understand sequence of events

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Our Approach

Build high fidelity dynamic simulation models of refinery units

Better understand number of unknowns and assumptions to maximise

existing design contingency

Link all models together to assess interconnected effects

Run agreed set of Scenarios based on a set of agreed, conservative,

credible assumptions

Document work and make efficient recommendations

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Extent of Study

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)

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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

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Matching Plant Data – The Traditional Approach

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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

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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 8

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

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Model Building

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Analysis of Results

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Relief Valve Opening

Frequency on

equipment being

evaluated

Time

Relief Valve Opening

Frequency on

equipment upstream

and downstream of

equipment being

evaluated

Pressure inside

equipment being

evaluated

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Example Scenario – Site Wide Partial Power Failure

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Cumulative Flare Load / Backpressure

Fuel gas PV

Fuel gas Relief

Kerosene Relief

Debutaniser Relief

VNS Relief

Flare

Header

Pressure

A good understanding

of co-incident events

and flow regime in

flare header.

Better understanding

leads to smarter

solutions

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Project Outcomes

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Fully Understand Causes, Timings and Interactions

Site wide recommendations from modelling common mode failures

Preventing simultaneous relief of high pressure and low pressure units

Cost effective solutions to retain current flare network

Recommendations fully checked out

A number of unexpected interactions and events, which were not

intuitive and would otherwise be overlooked

Every piece of equipment (pressure system) evaluated for multiple

relief scenarios in the context of whole operating unit

Avoided need for replacement of legacy flare header

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Summary

Page 13

Detailed models built of all refinery units sharing a common flare

header and integrated

All available equipment and process data used to ensure model

accuracy

Hundreds of relief scenarios examined

Fully checked-out recommendations provided to avoid wholesale

replacement of relief header – saving £millions on capital changes

Plant safer and more reliable

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Summary

Page 14

Consultancy.

Project Delivery.

Innovation.

Please get in touch to find out how we can help your

business today.

E: [email protected] W: flexprocess.co.uk

T: +44 1454 629 689