Pipeline integrity management solutions for Production

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okay to meet our next presenter we need to cross the border into belgium and welcome cindy verhoeven with the sniffers cindy thank you for joining us today to describe how to manage pipeline integrity with a pipeline risk and integrity management software solution thank you danny for the for the nice introduction um yes so today i'd like to have a presentation on pipeline risk and integrity management solution um for safe and compliant and efficient pipeline operations and what i mean by that is um the combination the essential combination of field surveys good data management and also a software system to manage all that data so a very short introduction of the sniffers so the sniffers is a as an environmental service provider we are active globally in 35 countries and we are a service provider for the oil and gas industry in in the widest sense of the worst so the full supply chain we provide field services uh consultancy so advice and also software platforms and all in the area of emission quantification uh leak detection and pipeline integrity so we have um a wide range of of services and i feel that is that's also our experience that is quite key for um for good pipeline data management is that you combine uh excellence in field services but also on the data management and software side so typically we see data is is scattered all over the place some some data is managed in a software other data is still somewhere available on paper documents and what we aim is to bring everything together in one platform our platform is called prims which means pipeline risk and integrity management solution so prims is is one platform for all pipeline data so on the left side you see the data that can be entered into the platform which is pipeline documentation drawings right of way diagrams etc inspection results coming from in-line inspections or other types of field surveys leak detection cathodic protection coating surveys and also monitoring of third-party activities which is still a major cause of of pipeline damage and risk assessment information then uh the output of the software is depending on several modules that that can be active so first of all pipeline documentation [Music] we aim to digitalize and also enhance the quality of available pipeline data and drawings and the idea is to have the best accurate data available in the software and to build a 3d model in the best way possible so with all the the properties the features the xyz data the individual welds etc also right-of-way documentation can be handled in the software then of course the inspection information which is very important for for condition assessments of the pipelines so the software can take in data from various sources ili inspections cathodic protection surveys different types of coating surveys such as sips dcfgs or acvg leak information performed by various inspection methods it can be leak detection by foot by car or even aerial inspections and also for example internal and external metal loss which is obtained by corrosion as assessments um so what we do with that data is we we plot the internal and extersion external corrosion data on a map overlay of the pipeline together with all the features that are already available and that's what you what you see here and immediately the risk points become clear on the map so on the here on the x axis you will see the length of the pipeline and the red line is is a the clock position so basically if you would uh cut the pipe uh open and make it back into a flat metal sheet then the red line is uh on the 100 180 degrees which means it is the bottom of the pipeline so here you see um a combination what we can do with that with all that data coming from various sources so for example um external corrosion surveys we can combine with um metal loss surveys based on coating or sip surveys that you see here and basically on the same position of the pipeline you can identify problems that that that can occur when you perform several surveys and based on uh on that analysis you can derive certain conclusions that would otherwise remain invisible if you would only perform if you only have one data layer so what we see is that the combination of data layers in that software is crucial for for a good pipeline condition assessment so this was an analysis for external corrosion and here you see an analysis for internal corrosion where we plot ili data again on the over the length of the pipeline clock position on the y-axis and below you see the pipeline profile which is basically here that the gray line is the um i would say the soil and the blue line is the pipeline so immediately immediately you see that the problems occur on the lowest point of the pipeline which is a river crossing and based on this data you can you can derive the erf and pc factor for the pipeline so the the sorry the erf is the estimated repair factor and psave is the safe operation pressure for the pipeline here you see the same data plotted in the graph so this is based on a single survey the green line is the 80 percent metal loss line and the yellow line is the erf the estimated repair factor and all the data points need to be at least below this line to allow a safe operation so on the left side the graph that that shows that the operation of the pipeline is safe but there is there is one point that you see also here on the right graph that is coming pretty close to the maximum operation pressure the green line here is the maximum safe operation pressure and obviously here all the points are still above that line but there are some risks to be expected in the near future what is also important is that the software performs these analysis ing to uh to the standards as you can see here below so esme british standard the api 579 and the fiji gw473 if we move further we can also compare several of those analysis to each other for example you have performed an ili run here for example in 2010 and in 2015 and you're going to compare that data and on the same spot here on the length of 2200 kilometers you see here that we have a growth when we compare those data sets we have a corrosion growth of three millimeters so that these are analysis that you can do based on if you build historical data in the software and compare several surveys of course if you compare historical data you can also predict something for the future and i think that that is also quite important to make choices and to make decisions on investment repair costs and and also operating pressure so here you see the same point it is marked in green and if we make a forecast for 10 years for example you see that this point will become above the erf line together with some other data points but this was the first the first one that will be our concern so we need to take some action in the near future and also on the right you see that that point will be very close to the safe maximum operational pressure here you see the same data sets so from two surveys plotted in the projection over time and then indeed you see here this was 2018 you will have to make one investment this is a critical feature that you will need to repair in order to prevent problems in the near future so these are assessments that the software can do and it it makes it very easy for pipeline operators and owners to make those decisions because it becomes very very visible and very tangible so based on those fitness for purpose and remaining life assessments you can do a life cycle assessment for the pipeline again this is this is fully aimed to to make decisions and also to to be able to predict decisions in the near future so expected a level of repairs and also the costs that that come along with those repairs and also choices based on the desired service life of the pipeline so then finally the final module in the software is also risk assessment so through all that data we are going to look at the likelihood and consequence of pipeline incidents to happen and so many factors can be a part of that risk assessment so these parameters are for example damage of third party the corrosion and the corrosion growth design parameters operational risks etc so a ken milbauer model is used for this risk assessment and um yeah it it gives a we feel that by combining the expertise in the field surveys combined with the data sets that are available in the software we can provide this type of in-depth advice to to the end customers the pipeline operators and they can then base their decisions ingly well cindy thank you so much for the presentation great to hear about the work that the sniffers are doing you're welcome you