Presentation on theme: "Big data in Maritime and Oil and Gas industries"— Presentation transcript:
1 Big data in Maritime and Oil and Gas industries The new data reality and Industry impact
2 In a challenging world we make businesses better prepared Low carbon energyShort-term cost efficiencyComplexity and lack of global governanceEfficient and fastBusinesses operate in an ever more complex context and are faced with many dilemmas: Businesses rely on reliable and affordable energy, but must contribute and adapt to a world, where fossil energy is replaced by cleaner energy. Businesses are measured on short term cost efficiency, but must make complex investment decisions balancing financial, environmental and social aspects in order to stay competitive in the long term. They must navigate in a complex regulatory landscape – with ever more complex national and regional legislation – while operating in a globalized economy lacking effective global governance. At the same time. consumers, investors and other stakeholders demand full transparency.Business must constantly adapt and enter unchartered territories to find new and smarter ways of working, while stakeholders have zero tolerance of failure, especially when it comes to safety.We enable businesses to be better prepared for making the right decisions in this complexity.Reliable and affordable energyLong-term competitivenessTrust and transparencySafe
3 DNV GL – Industry consolidation Is now a major player in the TIC (Testing Inspection and Certification, including Classification) industry (3rd party), and a large 2nd party (i.e. consultancy/advisor) in our industries.Broadening of scope taken place through accusitions over the last years. The merger between DNV and GL was the first consolidation among the global classification societies, but each of these two organisations had also consolidated their positions within the power transmission and distribution sector (KEMA), the renewable energy sector (Garrad Hassan and KEMA - DNV GL is now the largest independent renewables consultant), oil and gas (Noble Denton and Advantica).
4 Global reach – local competence Our global reach and density of offices around the world is another factor that enables us to take a broader view. Our 16,000 employees are spread over 100 countries and we pride ourselves of having the same high standards where ever you meet us around the world.150years400offices100countries16,000employees
5 How Big data can transform our industries How Big data con contribute to make our industries safer, smarter and greenerSome examples from DNV activities
6 Big data–some key identifiers and business value SourcesCharacteristicsNew CapabilitiesBusiness valueVolume(real time)Behavioural dataTechnologyTarget marketingVelocity(real time)Sensor dataInterconnectedness and data sharingVariety(Sensor,transaction,text etc.)CompetenceHealth diagnosticsGeospatial dataVeracity(VERITAS)Transaction / Contributory dataData management & GovernanceLogistics and optimisation
7 Big data - the new data reality "The Internet has changed the way we consume information and talk with each other, but now it can do more, by connecting intelligent machines to each other and ultimately to people, and by combining software and big data analytics, we can push the boundaries of physical and material sciences to change the way the world works.“General Electric CEO Jeff Immelt
8 Impacting DNV-GL’s industries – main trends Increased number of sensorsIncreased ability to exploit sensor dataCross system data analyticsApplications;Use of sensor data across systems for performance-, condition-monitoring, predictive maintenance, and system optimization as well as automation of problem solving and decision makingTaleris is a joint venture by GE and Accenture providing intelligent operations services across systems in the aviation industry, the service uses the customers own data streams and facilitate optimizing of asset utilization and predictive maintenance of critical systemsTaleris, a joint venture company of General Electric and Accenture, is operating with progressive technology assets and capability from both Accenture and GE. Taleris is dedicated to providing airlines and cargo carriers around the world with intelligent operations services focused on improving efficiency by leveraging aircraft performance data, prognostics and recovery across all onboard systems.The business case for Taleris is that they believe that they can save airlines 10 % of their unscheduled cancellations, which, for the big operators, could save them in the order of hundreds of millions of dollars.Example from Aviation:+=
9 Impacting DNV-GL’s industries EnergyGrid managementTechnical operationAsset and operational risk managementEnergy efficiency advice, assessment and verificationHealthDiagnosticsPatient monitoring and managementManagement of patient care processes across system barriersEpidemiologyMaritimeTechnical operation and maintenanceEnergy efficiencySafety performanceCommercial operation (logistics chain optimization)Automation of ship operationsManagement and monitoring of accident and environmental risk from shipping trafficIntegrated operationsEfficient drilling and productionAsset and operational risk managementPipeline risk managementOil and Gas
10 Impacting DNV-GL’s industries EnergyHealthMaritimeOil and GasOptum:The Optum One intelligent health management platform enables providers and delivery systems to improve health and manage cost.From:Clinical data of nearly 40 million patients20 years of longitudinal claim dataClaims data covering more than 109 million livesRobust socio-demographic and care management dataPremier:Unlock your data to make real-time decisionsData integration, analysis and collaboration as a service
11 Industry impact – What are the patterns? Automation of insights and decisionsIncreased willingness to share/combine data across barriersNew entrants in established industries with new business models and operation modesEstablished actors transform their business models and operation modesNew roles like industry specific data aggregators and data stewards emerge
12 How to succeed commercially with Big data enabled services? Business modelsOperation modesService deliveryCommercialisationCapabilities
13 Big data and analytics impacting the future of shipping SourcesCharacteristicsNew CapabilitiesBusiness valueVolume(real time)Behavioural dataSafer OperationsTechnologyVelocity(real time)Sensor dataInterconnectedness and data sharingVariety(Sensor,transaction,text etc.)CompetenceSmarter OperationsGeospatial dataThe Big data trendIncreased connectivity, new capabilities for capturing, storing, processing, presenting, and visualizing data, and transmission of large volumes of varied data at high velocity, have developed significantly in the past few years. In addition sensors have become cheaper and more commonplace, and deployment of sensors in all possible settings has increased dramatically and will continue to do so in the coming years.Systems and components will be connected across systems and locations (the ‘internet of things’) and this will enable analytics and automation across component and systems in new ways. Decisions and knowledge will gradually be automated as data and analytic capabilities are becoming available within our industries.In maritime and oil and gas industries there are vast amount of data of different kinds, but all arranged in siloes. The new connectivity, willingness (obligation) to share and the new capabilities to mange, process and visualise insights will enable data to be used in new ways across these siloes.Currently the main trends within all our industries are:Increasing use of operational data to optimize operationsUse of sensor data for condition monitoring and planned maintenanceCombining real time data with physical models for optimizing operation with respect to safety and environmental impactWhat does this mean in practice? New sources of big data from sensors to social media are capturing a wealth of information.When it comes to safety, such data can be used to augment class services with analytical insights from Class surveys, Port state inspections, Incidents, Fuel quality etc.Big data can help manage your fuel efficiency, giving you instantaneous information on your fleet performance and benchmarking it against your own fleet and history as well as other players on the market.And big data can help make the maritime sector greener by integrating information collected by sensors with environmental risk models.Veracity(VERITAS)Transaction / Contributory dataData management & GovernanceGreener Operations
14 Big data and analytics impacting the future of shipping Improved maintenance levels through increased transparencyHigher reliability through risk based maintenanceReduce risk related to human error through increased automation and simulationIncrease navigational safety through real time analysis of shipping trafficSaferHigher Value chain efficiency through analysis of data across the logistics chain and the environmentImproved Operational Efficiency through the improved value chain efficiency and optimisation of operationSmarterBig data also has the power to transform the shipping industry, making it safer, smarter and greener. Our vision for big data is to “bring the power of trusted, refined and combined data to our customers for them to gain competitive advantage through new information and insights.”Safer;Increased transparency through analysis and sharing of data across barriers will drive improvement of general maintenance levelsAbility to analyse and learn from vast amounts of data across systems and industry enabling risk based maintenance, will drive towards higher reliabilityReduce risk related to human errors through enabling increased automation and simulationIncrease navigational safety through real time risk analysis of shipping trafficSmarter;Higher value chain efficiency through analysis of complex relationships of factors such as weather, port berth availability, cargo availability and Operational constraintsImproved Operational efficiency reducing fuel costs with up to 30% through analysis of complex relationships such as operational parameters (speed, trim, resistance, engine rating and tuning etc.), weather, port availability and cargo availability (improved planning can enable slow steaming)Greener;Reduced emissions as result of the reduced fuel consumption (above), reducing emissions by up to 30% on existing vesselsReduced environmental impact from accidents due to the increased safety (above)Reduced emissions as result of the reduced fuel consumptionReduced environmental impact from accidents due to increased safetyGreener
15 DNV GL: Ambitions for the shipping industry CO2 emissions900million tonnes per yearLives lost at sea900ship accident fatalities per yearAverageFreight cost7-11%of cargo valueAmbition:Ambition:Ambition:60 % reduction in CO2 emissions90 % reduction in fatalities in shippingMaintain or reduce present freight cost levelsOut of these we have selected three indicators and put ambitious targets for reduction. These ambitions are based on acknowlegded climate change targets and current safety levels in land based industries. In our view, meeting these ambitions will have the most profound impact on sustainability, and will help clarify what the industry must do to achieve sustainably.900 people die in ship related accidents per year. A similar number of crew die in occupational accidents. The crew fatality rate is ten times the OECD average for industry workers. Our ambition is to reduce fatalities at sea by 90 per centShipping is responsible for about 3 % of manmade emissions. In order to reach the 2 degree target, the world has to reduce emission by 60% in 2050, according to the IPCC. Our ambition is to reduce CO2 emissions by 60 per centThe shipping industry facilitates global trade and development. Over the past decades, shipping freight costs have steadily declined, and are down to seven to 11 per cent relative to cargo value. Providing efficient transportation services is an important part of a sustainable future. Even with the increased cost of reducing emissions and accident our ambition is to maintain or reduce present freight cost levels.Vision for Big data and analytics as one of many means to achieve these ambitions:“Bring the power of trusted, refined and combined data to our customers for them to gain competitive advantage through new information and insights.”
16 Analytics and big data already impacting all service lines 14 April 2017Analytics and big data already impacting all service linesDNV Safety Insight – benchmarking safety cultureDNV Petroleum services - Benchmarking of fuel suppliersShip classification and ship board applications –operational qualityMonitoring emissions to air and managing energy efficiencyAnalytic and Big data servicesShip emission monitoring services – monitoring emissions to air from shipping trafficPredictive maintenance based on Sensor data from components and systems(COMPASS)The interesting thing for DNV is that there is a clear indication that there are similar trends in all our core business areas to capture more data, to expect risk and environmental considerations to take the data into account and to deliver analysis and models more as a continuous service as opposed to an ad-hoc service.The dotted lines are at the stage of tenders, piloting or evaluation (wind)Wind– field assessment and monitoring and benchmarking operational qualityEnvironment monitoring, Stewarding role forComponent reliability database,Electric cars – managing battery life for vehicle fleetsUtilities - load balancing and smart meteringPipeline risk monitoring
17 Safer - The power of analytics Augmenting class services with analytical insights from Class surveys, Port state inspections, Incidents, Fuel quality etc.“This is a tool for us to stop managing on perceptions and start managing on facts”. Customer feedback
20 Safer with smarter class - Class survey findings – examples Machinery 14 April 2017Safer with smarter class - Class survey findings – examples MachineryMain generator F: - Main Stator Lead cables burnt damaged between the Stator Coils and Terminal Box - Terminal bar supporting bracket iwo the Terminal box burnt. - Control transformers & accessories damaged in the fire. - Outgoing cables between the Alternator to the Main Switchboard burnt iwo the Terminal Box.Fixed Gas Detection System was found out of order. The gas detection function for ballast tanks and pump room was totally shutdown.Oveboard piping for SW cooling line of IGG scrubber found leaking i.w.o. a flange near the ship's shell (under the ER lowest platform). Jury-rigged bucket found.
21 Safer with smarter class using Big data – What data? Online integrated performance monitoring with customers management systemsEvaluate and trend barrier performance and report barrier status after surveyReporting survey findings in barrier formatAnalysing survey findings on entire fleet in barrier formatAs data gets bigger and richer through direct integrations, it is important to focus on the key questions
22 Smarter and greener through operational efficiency analytics “You cannot improve what you do not manage.” “You cannot manage what you do not measure”Know your fleet performance instantaneouslyBenchmark against your own fleet and historyBenchmark against other players in the marketData analytics powered by DNV GL experts
24 Smarter and greener through ship tracking analytics Augmenting class services and creating new analytic services from AIS data and environmental models towards existing and new customer groups.Cutting edge Big data solutione.g. Energy savings through better voyage and speed management
25 Eco Insight illustration for home page EngineWeatherHull/PropellerPotential reduction in fuel consumption(up to 20% of total fuel cost)SpeedTrimTotal fuel consumption(up to 70% of totaloperational cost)Basic fuel consumption
28 AIS Business Intelligence Insights can be used in daily operations, tactical planning or strategic decision makingDaily operationsTactical planningStrategic decisions1AIS Business IntelligenceImproved basis for strategic decision makingBenchmarking against partners and competitorsUnderstanding of underlying business performance driversNetwork & FleetFuel consumption monitoringCharter fleet performanceOff-hire analysisNew fleet operating profileCarbon footprint profiling2Port operationsBerth availability in next port of callTurnaround timeAnchorage waiting timesChange port of call3Voyage operationsSchedule integrity versus peersSpeed profilesDelay management tactics of peersECA zone routing4Overall operationsAverage trade lane utilizationPro forma schedules (port/ anchorage/ sea passage)Cost curve modelling (fuel, asset, port, etc)5Purchasing (e.g. port, bunker)Recent bunkering activity in upcoming portsChoose experienced repair yardCompetitor bunkering footprintAIS Business Intelligence17. October 2014
29 Port Operations – berth availability, turnaround times etc.
30 Big Data can enable transition from rule based via condition based to risk based maintenance also in maritime and Oil&GasMonitoring signalsDiagnosticsPrognosticsCondition based maintenance was introduced in aviation 40 years ago.The green curve represent the exponential growth in passenger numbers in aviation present for a long time.The fatalities per year however peaked in 1980 and has steadily decreased since then. Prior to this peak, CBM was introduced gradually, represented here by the blue lines marked MSG Maintenance Steering Group.The same approach can be applied for maintenance in shipping: rule based maintenance procedures where components are replaced after a set number of hours in operation can first be replaced by condition based procedures. Ultimately a risk based approach can be used, where statistical analyses of sensor data, inspection report and other data can further optimize the maintenance procedures. This represents an analgy with the approach by google translate, where on moves from a rule based regime to a statistical or data-driven regime allowing for real-time risk-based maintenance.First, one does not start with data, but rather a problem to be solved.Then, given that we can collect the right data, and properly analyze and act upon them, we may make better decisions.The benefits are many:Increased safety and reliabilityReduced number and frequency of inspections and repairsImproved spare parts exchange and logisticsReduced costs related to maintenance and downtimePreservation of asset value. As an example, a second-hand ship will be more valuable if one can prove that its current condition is tip-top.
31 Smarter – exploring data collection and diagnostic and prognostic methods Timely maintenance based on prognosis from real time machinery sensor readings
32 Safer – New Autonomous short sea ship concept “How far can we go with respect to energy efficiency, emissions and safety and still maintain cost effectiveness?”Safety!!Kilder vi har anslår at 85% av ulykker til sjøs er som følge av menneskelig svikt. De resterende tekniske feilene I stor grad er relatert til roterende maskineri. Vi ønsker å trigge en diskusjon på hvordan best mulig eliminere/mitigere disse ulykkene. Og selv om vi anerkjenner at det er en del kontroverser, ønsker vi å strekke strikken så langt som mulig og ønsker derfor å se nærmere på autonomitet I shipping.Vi ønsker å teste dagens teknologier som:-CAMERAS-LIDAR-RADAR-GPS-AIS-ECDISVi ser for oss at det vil være mange små steg på veien mot det ubemannede skip, med først beslutningsstøtte før man beveger seg mot mer og mer autonomitet. . I “The future of shipping” er en av ambisjonene å minimere antall dødsfall med 90% fra dagens nivå. Vi tror dette ikke vil være mulig uten økende bruk av autonomitet.
33 Greener – reducing environmental impact Licence to drill and operate in sensitive areasManaging impact on the environment through sensor based Big Data platform and environmental risk models
35 Safer and smarter - Industry data aggregation – data steward Component failure data across competitive barriers stewarded by DNV GL.“The most valuable database in the offshore industry”OREDA® is a project organisation sponsored by eight oil and gas companies with worldwide operations. OREDA's main purpose is to collect and exchange reliability data among the participating companies and act as The Forum for co-ordination and management of reliability data collection within the oil and gas industry. OREDA has established a comprehensive databank with reliability and maintenance data for exploration and production equipment from a wide variety of geographic areas, installations, equipment types and operating conditions. Offshore subsea and topside equipment are primarily covered, but onshore equipment is also included. The OREDA® data are stored in a database, and specialised OREDA® software has been developed to collect, retrieve and analyse the information.