Streamline Your Document Processes with Pipeline Integrity Data Management for Banking

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Mark's gonna join me in a few minutes to talk about this very specific product that we have I I wanted to just level set the room on who GHD is if you don't know we're a global engineering firm were eleven thousand people two hundred offices around the world looking at the business from really Asia Australia North and South America is really where our core business is where client led organization looking at how we drive client solutions our four focus sectors are transport water waste water the environment in the Nova seed oil and gas one of the reasons why we're here today looking at our overall global portfolio we've got 300 clients in the oil and gas sector a lot of clients are here today maybe they're watching the baseball game but 303 and clients across the globe we've got three pillars of our business the line share of our organization sits in the global consultancy side that is you know eleven thousand engineers working on client driven solutions we also have our global advisory business which is really our KPMG Bain consulting model a lot of the team members inside the advisory business sit inside come from a big for management consulting group and they're really looking at are looking at client business challenges from a 5 to 10 to 20-year horizon level and really helping our clients look at the business on a much broader perspective and then mark and I sit within the the global digital services group we are a new group really launched about two years ago and really focused around launching in Australia about two years ago when launching in North America just this past year really those those three sectors those three pillars of our business really look at overall working together as a 1ghz model and developing client led client focus solutions across those three pillars if I look at JC digital again I touched upon briefly we launched two years ago really in Australia as the first first step into a digital transformation or industry 4.0 model we then launched in North America this just past year I come from outside the organization I come from a technology background and business consulting and business strategy background very different than coming up through the business on an engineering level I'm not an engineer I'll raise my hand and we've got around 500 550 people working on the global business on the Digital side of the VIP just 250 225 to 250 people 250 people working on the digital business here in North America we also have global and North American partnerships as we support the business the three pillars within our business our dual experience which is the practice that I run our digital intelligence business which is our data science data analytics and predictive modeling business and then our digital innovation business that is very much focused on working on started working with startups from co-creation Co collaboration models with with our clients and/or looking at opportunities to innovate our business from the inside we're also a recent APN partner that we've been able to really move our business forward with the APN one of the reasons why we're here today really the the the industry business challenge at were talking to talk about today is really thinking about the operational struggle that happens around managing risk on the operation side of the business but then also making sure that we're managing profitable business performance you know how do you balance those two things and in how do you use digital technologies and digital transformation models to be to allow an organization to thrive managing those two of those two perspectives really from a gteen Amazon perspective looking at our really are much broader solution or a solution ecosystem we've got really a core mandate of developing and creating in monetizing the solutions that we created very much focused on our client opportunities and engineered solutions that we develop for our clients and think about how we actually those out across the industry as industry-wide solutions and allowing us to really launch those and release those products with a robust suite managing the balance between that operational risk and business performance making sure actually really driving value for our clients we're gonna talk about four of those today very much focused on the midstream uh you know we do work upstream midstream downstream but today we're talking more specifically around the midstream Marc's gonna talk about our midstream digital transformation digital pipeline automation product that he has team developed our asset management in pipeline integrity with using UAS and in drones to be able to manage that real-time operations in terms of our emergency response business it's a large business that we have in North America and moving that into the the real-time model and then a very topical discussion point around Manning emissions workflow for greenhouse gas and carbon emissions and using how to look at that from a transfer a transformative perspective so in terms of where we are on the value chain you know we we do as I said we do work upstream in midstream downstream today we're obviously talking about the midstream you know for the most part large part of our service perspective is obviously engineering automation construction environmental compliance health and safety and emergency you know we do much more than that across the business but today sort of you know the lion's share of what we do in the midstream is really focused around those key areas you know everyone in the room really knows these numbers you know I don't necessarily need to call them out but in terms of the overall addressable market in the midstream there's millions of miles of pipe whether it be liquid natural gas whether it be crude whether it be refined a product you need to be able to understand where that where there was millions of miles of pipe in what they're doing how do you leverage digital technology to really understand that and today we're gonna talk about how how we know we're working towards helping our clients really understand what's going on with those millions miles of pipe I'll turn it over to mark Mark's gonna talk about OCC assist one of our products the Hina's team created this and has a really great background on how it comes to life as we talked about where folks have midstream and as you guys know the OCC has a fun job of moving product from point A to point B and keeping it in the pipe right and with that they have to do it pretty efficiently they're always you always concerned about electricity costs the volume of product in a pipe are you maximizing it and certainly DRA usage and what OCC assists does is support the overall controller and what he's doing day in and day out and does a lot of the heavy lifting so we're going to talk about the key areas safe operation right people want to reduce the cycling in your pipeline the pipeline operator is using a SCADA system automation PLC programming taking that information in trying to turn on turn off pumps just the open and closed valves potentially just a VFD setting what OCC assists does is all that it basically takes a schedule and ensures that it is operating as efficiently as possible to reduce cycling it's it's using with the help of AWS the data coming from historical data and real-time data to ensure that the you're using that efficiently in the sense of what's your temperatures what is your flows what is your pressures is that current operation consistent with historical data based upon the type of product seasonal fluctuations numerous worse items that come in and play a part of that cost management are you getting the best use of your DRA or are you getting the highest balance between DRA and power usage or your VFDs set at the right or the pumps correct a lot of the current technology is done through modeling and then applied into the real world by training your operators this does it in real time other efficiencies again what is are you getting the maximal product in your pipe this will help you yield the most volume so again the back the number of bowels you want from point A to point B on that schedule in the with the most cost effective approach resources it today you know you're having aging workforce and I don't know about you but no one's raising their hand and saying I want to run a pipeline a lot of the younger generation in particular so we're seeing people that are aging out of the workforce and not a whole lot of people are coming in to replace them and OCC assists by virtue of its operations really limits the number of resources you need on the pipeline and then certainly asset management using that same data and and and looking at that using some of the Amazon solutions you can kind of interpolate the data and kind of do that analysis to say what's my do I have an issue on my pipeline we're going on a pump valve there's something failing or about to fail and being not being reactive but being proactive so so how did this all work this was a few years ago one of our clients came to us and said there's got to be a better way to run a pipeline this in in particularly refined products pipeline we started with but the bottom line was there's about I think 60 different boutique products in the system that they have to keep an eye on and they had to say well how can I do this like my best operator the best guy ever can can he do like that and so what we did was basically took the time understood how they ran the line look at the story and data and basically the first pass was run it like the best guy runs a pipeline all the time every time everybody runs it that way the automation runs it that way splits the product delivers it from point A to point B all based upon that schedule and if you have a third party coming into that there's always a case and says hey by the way you know I need X amount of barrels in my tank not the ones that I already nominated I need to change that this handles that change in real time in addition to as we progressed it we said okay let's take the storing data in real time data and look at not only the best operator can operate the line but things that we can glean from the data and say let's make them better let's run it even better than that guy because we can look at the VFD settings look at DRA usage look at all these parameters and interpolate it and then suggest a new operation so that was the next rendition of our of the software and the software again sits over your SCADA and PLC software so it's no upgrades for your SCADA system - upgrades for your PLC software and and now we're entering into a phase where everything is real-time so that the analysis is being done in real time and we can actually change the operational real time based upon all all that data coming in and again a historical understanding of how they line runs so I'm going to pass the mic back to Ron here on sharing all the Amazon products we used in putting the product together but just in terms of we're not talking about what the architecture looks like of the system but in terms of the product ecosystem leverage leveraging snowball edge to be able to work on an on-prem environment to be able to actually help us with the machine learning leveraging sage maker from a machine learning model looking at how we actually grow and evolve the product leveraging IOT infield to be able to help us collect more data to allow the system to be smarter allow it to be able to capture more data to be able to move into a much more consistent and aware system into real time so you know the this is very much driven on on what the product ecosystem is so now in terms of asset management and pipeline integrity through our us business so in in North America we've got about 60 drone pilots as a part of the business they sit inside my digital experience portfolio we we address the business a little bit differently we are a vertically integrated drone solutions provider we actually instead of an organization just being able to develop the flight plan capture process we're an organization actually allows to visualize that through our IDs and visualizations team we have the ability to analyze that with our engineers and then be have the team actually take that data to do something with it so developing specialized engineering solutions and then able to deliver those and implement those across the system so you know yes it's a it's a data capture but it's allowing our entire ecosystem to work together as a 1ghz model and letting our engineers deliver more effective more efficient in more aware solutions as a part of our UAS business yeah one of the client solutions that we developed based on the client need was a product called photo viz photo vis is an actual software product that our team developed based on a unity gaming engine that actually takes the data coming off our drones coming off our UAS system you've been coming off mobile handheld devices it could be cameras it could be cell phones and actually take that data and visualize that data to be able to look at asset management asset integrity and then actually moving to a change detection model so here's a video of how it works it basically takes the data coming off from a capture from a flight allows that the ability for that photogrammetry to be able to move move into a visualization model this is a water line a water pipe line but what it does it actually allows people who are not necessarily on site to be able to actually see what that what that capture looks like share that capture you can actually create notations on this you can actually then share that you know working with the the AWS team you know we're moving into a based business model be able to move this product into the SAS world because this is actually engineer solution that we use every day in our business now we actually want to share it with clients so you can actually you know annotate you can share this the ability to be able to share this with you know you know the ability to integrate this with with an S ap system being able to create change orders work orders you know that's the vision of how we actually are going to evolve the product into an assessment in terms of midstream use cases obviously a pipeline inspection looking at air quality air monitoring by using UAS RCR asset management in visualization and then also emergency response looking at we're removing we're actually leveraging our relationship with AWS to be able to move us move our organization into a real-time model allowing us to be able to move to a future state where beyond visual line of sight the ability to launch drones independently of operators to be able to you know capture that to make sure that that change that you've seen obviously the missing bolt on on the pipeline it's actually been done you know launching that drone and running change detection being able to make sure that that's been done and putting that back into an S AP system to be able to track that manage that and that's where we're working with the team at AWS to do that emergency response emergency responses is a huge part of our business here in North America you know we do a lot in the midstream we do a lot in in quite a few sectors in the oil and gas industry you know I'm not gonna spend a lot of time this is a bit of a bullet list and the services that we offer an emergency response that specific business unit is called GHD first we work across multiple different sectors oil and gas obviously the rail facilities and transport you know you can run through that list what we do but really at the end of the day our team is first on the scene our team is there to be able to help make sure that Public Safety workforce safety environmental safety is job number one and then how we then take that data use that data be able to provide environmental solutions Public Safety asset solutions for the business one of our clients in the rail sector you know I'm not gonna read the whole thing you know the the most important thing is G always shows their value through innovative solutions and capability in field that's our badge of honor we have to continue that moving forward we have to make sure that we're always evolving our product in our solutions in an innovative fashion we also have to make sure that we are the ones that are seen on site on incident that we are the quarterback we are the keeper of that data we are the keeper of that knowledge and we are the steward of that we have to keep moving that ball forward in terms of what our Emergency Response platform looks like obviously we've got our sectors you know we're using our UAS drone business it's our first point of visual reconnaissance it's our eyes in the sky to understand what's going on we're capturing that data we obviously have field data collection that's happening on-site in a mobile data collection format we're using products within the ecosystem to be able to help us move this entire product and service into real time and the reason why we want to move it into real time it actually allows our entire business to operationalize globally one of the things that we hear very very openly and honestly from our clients is we want the best team we don't care where they sit we want the best people on our business to solve our problems and we need to be able to operationalize that data so if someone's sitting in Australia if someone's sitting in let's say the UK and they are the best to solve that problem we can operationalize that data be able to help them join the team remotely what does you know obviously the the core part of that is using things like Kinesis using things like lambdas using division of assets being able to actually use a machine learning model on the data that we're capturing over and over and over again that we can actually be have ants notice advanced knowledge when were arriving on scene to understand what those best practices are and using that data be able to know move that ball forward obviously what that means is making sure that we actually have the ability to you know deliver the right resources at the right time in an urgent and long-term fashion making sure that we're understanding workforce and public safety is job number one making sure stakeholder management and obviously making sure that that data in real time actually allows us to manage those stakeholders and then I'll see industry regulators making sure that we're giving them advance notice and managing this thing ahead of time to be able to minimize environmental impact and maximize the the value that we can provide back to our client in terms of really sort of the we're moving into this real time fashion you know the ability for us to increase public safety in in workforce safety mitigate original long term environmental impact proactive operational cost and management regular any notification and the other side of this thing that you know we all don't necessarily want to talk about but that's the open honest discussion is advanced litigation support you know you don't want to address a situation three years or four years down the line we actually want to be able to take that data that we've captured and be able to advance that to litigators if we actually have to move into that fashion so we actually have a capture point that we can actually help advance the dialogue around litigation and be able to visualize that and manage that and making sure we got those check points to balance it so this one is you know I'm not going to dive deep into this this is a big part of the lion's share of our businesses GHD in North America isn't is the environment we we've kind of cut our teeth on the environment working on Superfund projects large scale data the majority of that work in the environment is in oil and gas so greenhouse gas and carbon emissions monitoring is a big part of what we do currently we've developed products to be able to help automate operationalize and move these these discussions forward you know I'm not gonna get into sort of big background of what this is just being cognizant of time but at the end of the day we need to strike that balance between you know corporate sustainability goals I think somebody mentioned the big hairy audacious goals in the earlier session um we know that we have to make those moves as an industry to be able to get to a sustainable sustainable a more sustainable movement from managing stakeholders from managing shareholders just it's the right thing to do it's also managing regulator compliance managing shareholder value profitable business operations you need to balance all those things in in in you know you know a bit of a soup in all honesty you know some of those forces at play though those sustainability goals environmental protocols federal and state governance stakeholder relations shareholder relations are honestly becoming more and more discussions that we're having with clients around shareholders actually forcing discussions around sustainability efforts environmental activism you know we we know that that is something that we all need to address and then liability management you know we're working with Amazon to be able to take the products that we've developed is a part of what we deliver as JHD for our clients and actually monetizing those in creating products that we can actually move the ball forward for ourselves and for our clients around environmental impact looking at automation looking at predictive modeling whether that be greenhouse gas where there would be carbon offsets you name it that's the that's what we do and that's where we see the future is actually addressing these things on a digital transformation model and in starting them from from day one and moving them forward around how we how we address the business around the environment so I've got five minutes left I'm gonna give a bit of a snapshot around sort of you know how we got started in the value that we've seen with it with a team at AWS so why work with AWS so a bit of a background so I have a long-standing relationship with AWS I've worked for them in the past when I came on board a GHD we were openly a Microsoft Azure shop one of the things that I had said to the organization when I came on board was I I want to be able to bring people that I know and people that I trust into the business from AWS and help us advance the dialog faster knowing the product in knowing the portfolio and the team at within the oil and gas team here in Houston really welcomed us with open arms and they've truly worked with us as a partner from day one and one that's based on relationships but also bit you know really based on us as Gigi in AWS really evaluating the fact that we are solely focused on client goals our values are the same we so we we look at the business from a client centric perspective and solving problems for clients faster more effectively in in smarter than anyone else so that's been a great one of the big reasons why we've been able to move fast within this organization together as partners we're a complex organization we're global organization you know multiple regions multiple sectors multiple different business units multiple datasets multiple servers on Prem you know we're moving a lot of our our data environments to the cloud to be able to help us operationalize that data but really the the three key perspectives for us in the relationship is number one global delivery because we are we are a complex global organization we need to be able to scale products and solutions for our clients which for the most parts you know Exxon is one of our clients we are moving to working with them on a global perspective we need to be able to work at a global level with the products and solutions that we deliver because that's the way our clients work and that's the markets that we work in so the ability to scale globally is a huge part of our business the ability to scale consistently and delivering that same experience for our clients in that perspective is is imperative the ability to move the the speed to market so agility is the buzzword of today in reality we have to move Jilla T number one because our clients expected number two the market expects it and the ability to serve and deliver those solutions at the speed of the market allows us to get ahead of it to be able to manage cost for ourselves and for our clients so Amazon is a leader in that and being agile and being able to move through the business to be able to offer solutions that are valuable to our to themselves and valuable to ourselves and valuable to our clients so speed to market is a huge part of how we've been able to move so quickly and we couldn't do that with AWS the one thing very openly APN is is a new it's new for us we've just recently moved into the into the APN relationship at with AWS the Amazon partner network has been key it's only reasons why we're here today because we're an APN partner it's allowed our team to train right because they they need to train they need to have knowledge they need to understand the product ecosystem the ability to market the ability of evangelize about what we're doing and how we're doing it and we couldn't do that without without a APN so that's it for ourselves so if you have questions and we're happy to take mark and I will be here but thank you very much and thank you for the team a day to AWS I really