Function-Related Dosage of Corrosion Inhibitors; The ...

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Function-Related Dosage of Corrosion Inhibitors; The Development of An On- Site, Operator Deployable Technology Emma Perfect CEO 27 th Feb 2018

Transcript of Function-Related Dosage of Corrosion Inhibitors; The ...

Page 1: Function-Related Dosage of Corrosion Inhibitors; The ...

Function-Related Dosage of Corrosion

Inhibitors; The Development of An On-

Site, Operator Deployable Technology

Emma Perfect

CEO

27th

Feb 2018

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Presentation Outline

Who is LUX Assure?

Background

What are corrosion inhibitor micelles?

Where are we now?

What are we looking to achieve in the future?

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A provider of on-site chemical detection products.

Innovative approach; unique products; strong IP culture; POC to

commercialisation

Founded in 2001; focused on O&G industry in 2009

Investors

Headquartered in the UK, with worldwide agents

Relevant to the North Sea, and beyond

LUX Assure Ltd

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Our mission is to establish LUX Assure as a leader in innovative

technologies that enable independent, cost effective, better-informed

chemical management decisions

Value for our customers:

• Cost savings (chemicals; analysis; fines)

• Simplifying operations

• Independence of data – not from chemical and service providers

• Improved accuracy

• Improving asset integrity management

• Minimising environmental discharges

LUX’s Products:

Simple to use on-site chemical detection kits

• - hydrate inhibitor management

• - corrosion inhibitor management

• - surfactant biocide mapping

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Informing Better Corrosion Inhibitor Management

Background

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• Conversation with an operator in a corridor 2008

– Fact-checking

– Technical evaluation (2008 POC shown)

– Commercial evaluation

– IP evaluation

• Decision point

– Funding (Operator and TSB funding 2009)

– Rapid incremental experimentation

– Access to relevant test samples

– Access to expertise

– Access to fields (first field deployment 2011)

– Further field work (2011-2013)

• Commercialisation (2013)

– Field trials

– Sales

– Feedback from clients meant redevelopment 2015/16

Timeline

Idea 2008

Proof of concept 2008

Funding 2009

1st

field trial 2011

1st

sale 2013

Last icorr presentation 2014

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Why Bother With Corrosion Inhibitor Monitoring?

Corrosion inhibitors are an important part of corrosion management

Their dosing needs to be monitored and managed

Good management requires good monitoring

Are they available at

recommended dosage

for the required amount

of time?

Has the system changed?

Does their dosage need

to change?

Is injection

equipment

working?

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Corrosion Inhibitor Monitoring

Some methods are excellent – LC-MS

• Although sending samples to specialist labs for analysis takes time and is

expensive

• Often the only lab it can be sent to is the chemical vendor, so independence in

monitoring is not possible

Some methods can be used on-site

• Sometimes they work OK

• But lots and lots and lots of operators complain to us that they are inaccurate

There is an opportunity for a better on-site corrosion

inhibitor monitoring tool

Survey: More than 37% respondents said they strongly

agreed that improving inhibitor management could have

significant impact on reducing production upsets,

reducing OPEX or improving long term asset integrity

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Surfactant

Corrosion inhibitors (quats, imidazolines,

phosphate esters)

Surfactant biocides (quats)

Form aggregate structures above chemical

specific concentrations micelles

Hydrophilic

Hydrophobic

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Micelles and Critical Micelle Concentration (CMC)

CMC is defined as the concentration of a surfactant above which micelle

formation occurs

Below CMC Above CMC

Increasing surfactant concentration

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PREMISE: corrosion inhibitors form micelles once all available sites for

adsorption (e.g. pipe wall) are occupied

Can these micelles be detected and used to inform corrosion

inhibitor management? Not just amount but information…

corrosion

inhibitor in

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Literature: Optimal Corrosion Rate = CMC

P. Dupin, A. De Savignac and A. Lattes Mater. Chem. 6, 6, (1981), pp.443-453

D.P. Schweinsberg and V. Ashworth Corros. Sci. 28, 6, (1988), pp.539-545

A. Frignania, M. Tassinaria, L. Mészàrosa and G. Trabanellia Corros. Sci. 32, 8, (1991), pp.903-911

N. Hajjaji, I. Rico, A. Srhiri, A. Lattes, M. Soufiaoui and A. Ben Bachir Corrosion 49, (1993), pp.326-335

M. Elachouri, M. S. Hajji, S. Kertit , E. M. Essassi, M. Salem and R. Coudert Corros. Sci. 37, 3, (1995), pp.381-389

M. Elachouri, M. S. Hajji, M. Salem, S. Kertit, J. Aride, R. Coudert and E. Essassi Corrosion 52, 2, (1996), pp.103-108

M. M Osman, A. M. A Omar and A. M. Al-Sabagh Mater. Chem. Phys.(1997) 50, 3, pp.271-274

J. A. Dougherty, Corrosion 98 paper no. 15 (Houston, TX: NACE, 1998)

V. Jovancicevic, S. Ramachandran, and P. Prince Corrosion 55, 5, (1999) pp. 449-455

R. Bäßler, M. Uhlemann and K. Mummert, Mater. Corros. 50, 3, (1999) pp.146–153

E. E. Foad El Sherbini Mater. Chem. Phys. 60, 3, (1999), pp.286-290

M. El Achouri, S. Kertitb, H.M. Gouttayac, B. Nciric, Y. Bensoudad, L. Pereze, M.R. Infantee & K. Elkacemif Prog. Org. Coat. 43, 4, (2001), pp.267-

273

S. Rajendran, R. M. Joany and N. Palaniswamy Corr. Rev. (2002) 20, 3, pp. 231-254

T. Moon, D. Horsup, Corrosion 2002, paper no. 02298, (Denver, CO.: NACE 2002)

A.A. Atia and M.M. Saleh, J. Appl. Electrochem. 33, (2003), pp.171–177

Z. Wei, P. Duby and P. Somasundaran, J. Colloid Interf. Sci. 259, 1, (2003), pp.97-102

M. Knag, J. Sjöblom, G. Øye, E. Gulbrandsen Colloid. Surface. A 250, (2004), pp.269–278

M. L. Free, Corros. Sci. 46, 12, (2004), pp.3101-3113

D. Chebabe, Z. Ait Chikh, A. Dermaj, K. Rhattas, T. Jazouli, N. Hajjaji, F. El Mdari and A. Srhiri, Corros. Sci. 46, 11, (2004), pp.2701-2713

S. Algabera, E. M. El-Nemmaa and M. M. Saleh, Mater. Chem. Phys. 86, 1, (2004), pp.26-32

B.P. Binks, P.D.I. Fletcher, J.T. Hicks, W. H. Durnie and D. I. Horsup, Corrosion 2005, paper no. 05307, (Houston, TX.: NACE 2005)

Z. Ait Chikh, D. Chebabe, A. Dermaj, N. Hajjaji, A. Srhiri, M.F. Montemor, M.G.S. Ferreira and A.C. Bastos, Corros. Sci. 47, 2, (2005), pp.447-459

G. Mu X. Li, J. Colloid. Interf. Sci. 289, 1, (2005), pp.184-192

M. M. Saleh and A. A. Atia, J. Appl. Electrochem. 36, (2006), pp.899–905

D. John, A. Blom, S. Bailey, A. Nelson, J. Schulz, R. De Marco and B. Kinsella, Physica B 385–386, (2006), pp.924–926

"Progress in Corrosion Research", E. L. Bettini (editor), 1st ed. (New York, NY: Nova 2007), pp.159-185

M. A. Migahed and A. M. Al-Sabagh, Chem. Eng. Commun. 196, 9, (2009), pp.1054-1075

A. M. Al-Sabagh, N. S. Tantawy, N. M. Nasser and M. R. Mishrif, J. Disper. Sci. Technol. 30, 10, (2009), pp.1411 – 1423

C. M. Murira, (2010), Ph.D. Thesis, Princeton University.

K. Tsui, J. E. Wong and N. Park, Corrosion 2010, paper no. 10326, (San Antonio, TX.: NACE 2010)

A. M. Badawi, M. A. Hegazy, A. A. El-Sawy, H. M. Ahmed and W. M. Kamel, Mater. Chem. Phys. 124, (2010), pp.458-465

F. A. Ansari and M.A. Quraishi, Port. Electrochim. Acta. 28, (2010), pp.321-335

J. Hu, D. A. Koleva, J. H. W. de Wit, H. Kolev and K. van Breugel, J. Electrochem. Soc. 158, (2011), pp.C76-C87

“The CMC should be

used as the treatment

rate in the field since

maximum inhibition is

achieved at this

concentration”

BUT a review of 43 papers indicates thatonly ONE used formulated inhibitors, with the majority looking at single components e.g. an

imidazoline and all tested in model systems, not in complex field fluids

Does the relationship hold true with formulated chemicals and in real fluids?

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0.00

20.00

40.00

60.00

80.00

100.00

120.00

140.00

160.00

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0 50 100 150 200

Micelle Sig

nal

Co

rro

sio

n R

ate (m

py

)

Corrosion Inhibitor Dose (ppm)

Flow Loop Corrosion Rate and Micelle Correlation

LPR 1 Average LPR 2 Average Weight Loss Micelle Signal

Micelles are a relevant measure for corrosion inhibitor dosage

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A Product to Inform Corrosion Inhibitor Management

Improve operations: fewer upsets; are pumps functioning etc

Enhance long term asset integrity. Save future integrity costs

Save chemical costs in overdosed systems (up to £1k/day)

Independent data on chemical management

Higher throughput corrosion inhibitor evaluation

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Using CoMic™

We add nothing to the system – only take a sample from it for testing

Water samples analysed by on-site operators using optical analyser

and detection kits in on-site lab

Data sent to LUX for analysis and reporting – quick turnaround

+ +OPTICAL ANALYSER DETECTION REAGENTS DATA ANALYSIS

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Since 2014 almost everything has evolved

More work on the instrumentation; now an entirely new instrument

More work on protocols client deployable

More work on the science; micelle link to the corrosion rate

More chemicals tested

More field deployments

Looking at surfactant biocides

How to apply to systems below the critical micelle concentration

More fields, more conditions, influence of other production chemicals

Automated data processing

Development continues to enhance the product

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Evolution of CoMic™ - instrumentation

and detection ‘kits’

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Feedback - examples

Would like clarity on treatment rates and how far below CMC

they are?

Can data be turned around

quicker?

We are very excited in

recent results

Very simple to use

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Steps in using CoMic™

Site identified

Safety data sheets send to LUX reviewed

Chemical/fluid tested @ LUX confirmation is suitable

Pre-deployment report sent Confirmation of deployment

Training of on-site personnel

Equipment and kits sent to site

Samples taken from system and taken to on-site lab

Mixed with CoMic™ detection reagents

Placed in instrument

Data collected transmitted to LUX data processing

Report provided

Data compared with other corrosion management tools to inform decisions

e.g. coupons, probes, pump information

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How to use CoMic™? How frequently?

It depends on what the asset wants to know

“We want a better residual test”

if micelles can assist us with

understanding residuals then we’ll use

CoMic™

Use regularly (daily, weekly,

monthly… depends on stability of the

system, its criticality, the level of

availability required, pump reliability)

costs –£200-350 a sample; £350/day

equipment hire. Lower or higher

depending on frequency

“Micelles can help us understand optimal dose

and that’s important to us”

We want to know if we’re protecting our

infrastructure as best we can, whether we

can save money if we’re overdosing,

whether we can reduce production upsets

Special project. Longer in duration, but may

be a one off

Costs – depend on frequency $5,000 for a

client-deployed test of a few samples lasting

a few days to $40,000 for a longer period

using LUX staff

We’ll take CoMic™ into our labs to assist with chemical qualification and use it to

inform field dosage and then use CoMic™ on-site to check this is being dosed

Survey: Approx half said they’d most likely use a chemical

monitoring method for routine testing and half for

‘specialist projects e.g. production upsets’

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The Operating Envelope

Is an optical technique

• Oil can be present (1-2% water cut OK) but the separated water phase must have

good enough sample clarity. Tight emulsions are not suitable

• Ideally we can have 50 mL water to test

• Production chemicals can be present. Some may interfere (surfactant biocides; scale

inhibitors potentially; KHIs potentially) and we ask to screen in advance of

deployment

• Need some space in an on-site lab (1m x1m); need power source; need water

anonymised

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Common questions…

Does it provide a residual concentration value for individual chemical components

What if multiple chemicals are being used in different lines and the chemicals co-

mingle

Can it determine how effective the particular inhibitor is

• If the client is using a bad chemical (e.g. it doesn’t form a good film on the surface)

then CoMic™ can only provide information on whether they are using the optimal

amount of a bad chemical

Can it measure where corrosion has occurred in an under-dosed system

What is ‘optimal’? Weld corrosion. Economics

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applications

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07:30:00 12:00 07:30 13:00 07:15 07:30 07:45

Day 1 Day 2 Day 3 Day 4 Day 5

Micelle Sig

nal

Timeline

Dosage Check in the Field

Pump switch on 10th 03:00 hrs

Example 1: Improve Operational Management e.g. is The Pump Working?

UK offshore field

Samples from HP Separator

Initial results showed no chemical – reported to operations

Corrosion inhibitor pump found to be off

Pump switched on – micelles detected after approx. 10 hours

Improved chemical

management

Mic

elle

sig

nal

Deployed by operator

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80

85

90

95

100

105

110

115

120

Timepoint 1 Timepoint 2

Do

se R

ate (p

pm

)

Micelle Sig

nal

Dose Optimisation in the Field

Micelle Signal Dose Rate

Example 2: Is the Amount of Chemical at an Optimal (Functional) Dose?

Highly sour field and production system using wetting agent required

optimisation

Chemical detected in initial sample, but not after dose reduced (as part of

optimisation study)

Reducing dosage not recommended – original dosage was optimal

Optimal dosage shown

Mic

elle

sig

nal

Micelle signal Dosage rate

• Depending on the asset cost savings of >1k/day feasible

• Enhance long term integrity

• Improve oil in water separation

Time Point 1 Time Point 2

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Example 3: Dosage optimisation

North Sea

Low water cut

Production upsets; too much corrosion inhibitor?

Sample taken allowed to settle water removed CoMic™

overdosing

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✓ ✓ ✓

Example 4: Impact of Solids

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Example 4: Keeping on Top of Changing Conditions - Solids

Solids production, water cut changes, chemical use etc will impact inhibitor availability

and so the protection offered. Systems are dynamic and should be monitored routinely

Different solids different adsorption

Different corrosion inhibitors different adsorption

CoMic™ has a place in informing corrosion inhibitor management following system

changes

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Summary

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CoMic™

Corrosion inhibitor detection. CoMic™ provides information on optimal

amount not just data relating to concentration

Commercialised in 2013, redeveloped 2016 to be more client friendly

Client deployable version now in early commercialisation

What Next?

Surfactant biocide mapping

Automated data processing

Online monitoring

Feedback loop to pumps

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