[webinar] optimizing industrial assets with digital twins on predix

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Op#mizing Industrial Assets with Digital Twins on Predix from GE Copyright © 2017 OAG Analy6cs February 15, 2017 Data Science for Oil & Gas Domain Exper#se Machine Learning SoBware Engineering

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Op#mizingIndustrialAssetswithDigitalTwinsonPredixfromGE

Copyright©2017OAGAnaly6cs

February 15, 2017

Data Science for Oil & Gas

DomainExper#se

MachineLearning

SoBwareEngineering

NorthAmericanOilRenaissance•  Conven#onal(19th&20thcentury)

•  Drilldown,hopetohitoil•  Unconven#onal(21stcentury)

•  Thecombina6onofhorizontaldrilling&mul6-stagefrackingenabledaccesstolargereservesthatwerepreviouslyinaccessible

•  Theindustrystandardis1unconven6onalwellper~25-100sq.miles•  Highlyvariablewellperformanceisaquality

problemthatisunimaginableinvirtuallyanyotherindustry

•  2014OAGenablesloca6onspecificwellop6miza6onwithself-servicedatascience•  2016OAGpartnerswithGEDigitalanddeploystoPredix

Copyright©2017OAGAnaly6cs 1

HistoryoftheOilandGasIndustryOilpriceisvola#le,successfulfirmsadoptnewtechnologyindownturns

50,000

55,000

60,000

65,000

70,000

75,000

80,000

85,000

90,000

95,000

100,000

1980 1985 1990 1995 2000 2005 2010 2015

Thou

sand

sofB

arrelsofOilProd

ucesperDay

3DSeismic ShaleOil

Oilpricecollapse

OAG

Copyright©2017OAGAnaly6cs 2

Oilpricecollapse

WellsinNorthDakota-“TheBakken”

Tensofthousandsofwellsalreadydrilled,eachproducingterabytesofunuseddata

Copyright©2017OAGAnaly6cs 3

BakkenOilfieldfromSpaceTheseoilfieldsaresolargethattheycanbeseenfromspaceandare

biggerthanmajorci#es

Copyright©2017OAGAnaly6cs 4

OAGOilfieldDigitalTwinsWhatwedo:BeUerData,BeUerResultsImprovewellprofitability&assetvalua#onsusingproprietarydatascience

•  Profitabilityandproduc6onanalysisfor1,000’sofloca6on-op6mizedwellsfasterthan1“typewell”(theoldway)

•  Over25%moreaccurateproduc6onforecasts(proprietarypredic6veanaly6cs)

•  Upto300%more“signal”aboutsystemdrivers(advancedmachinelearning)

•  20%moreaccurateassetvalua6onsinhoursnotdays•  Tailored,well-specificAFEprepara6onandevalua6on•  Data-driveninsightsdrivevalue:é5%profit,ê$400kperwell

Whereweplay:NorthAmerica,NorthSea,Europe,Africa,Australia,Asia

HowdoesOAGfitwithPredix•  Upstreamplanning•  Down-holeexecu6on•  PurposebuiltDataServices•  AutomatedAnaly6cServices(ML)•  Self-serviceDataScienceApplica6on

Predix-OAGSynergies•  Thevalueofequipmentop6miza6onis

higherforgoodwellsthanbadones•  Aprovencoreplanningsolu6onisa

forcemul6plierforPredixinoil&gas•  SynergiesamongGE,BakerHughes,and

OAGcouldtransformtheO&Gindustry

Copyright©2017OAGAnaly6cs 5

Data Analy#cs Decisions

OAGArchitectureonPredixfromGE

OAG Insights UI

BI Dashboards

Partner UI

Copyright©2017OAGAnaly6cs 6

Copyright©2017OAGAnaly6cs

3.Validatepredic6veaccuracy,datasupport,anduncertaintyreduc6onprovidedbyOAGmachinelearningvs.rawdata

Demo

1.Maximizeinforma6ongainfromeachparameterusingadvancedfeatureengineeringanddistribu6onop6miza6on

4.Isolateeffectsofcapitalalloca6ononproduc6on,calculatetotaloil&gasproduc6on(EUR),op6mizeprofitability(IRR)

IndependentVariable

Depe

nden

tVariable

IncreaseRevenue

ReduceRisk

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2.Navigatenetworkofautocorrela6onstoop6mizedimensionalityreduc6onofmachinelearningmodels

GE+OAGFutureUseCase

Mutualsynergiescouldenableaseconddata-driventransforma#oninunconven#onalreservoirsthroughouttheworld•  GEhasextensiveexperiencecapturingpressure&flowdata•  PredixwasbuilttocapturedataproducedbyGEequipment•  OAG’swellop6miza6onplajormisdeployedonPredix•  Currentalterna6vestocapturestage-specificdataarecostprohibi6ve

Stage-SpecificOp#miza#on

Copyright©2017OAGAnaly6cs 8

•  White Paper: Operationalizing Big Data in Complex Systems •  http://www.slideshare.net/oaganalytics/operationalizing-big-data-to-reduce-risk-of-high-consequence-decisions-in-

complex-systems

•  Press Release: Two former British Petroleum (BP) executives join Big Data efforts with OAG Analytics •  http://www.prweb.com/releases/2016/03/prweb13243297.htm

•  Energy Media Group •  http://eaglefordtexas.com/news/id/159275/taming-big-data-a-strategic-approach-to-unconventional-analysis-in-

unconventional-reservoirs/

•  CIO Story •  http://ciostory.com/cxo-perspectives/big-data-leadership-for-the-oil-and-gas-industry

•  Oil & Gas Investor •  http://www.oilandgasinvestor.com/big-data-gives-operators-advantages-hotly-contested-plays-801216

•  McKinsey: An Executive’s Guide to Machine Learning

•  http://www.mckinsey.com/insights/high_tech_telecoms_internet/an_executives_guide_to_machine_learning

•  GE & Accenture: Industrial Internet Insights report

•  http://www.geautomation.com/content/industrial-internet-insights-report-pn

•  Manhattan Institute: Shale 2.0 Technology and the Coming Big-Data Revolution in America’s Shale Oil Fields •  http://www.manhattan-institute.org/pdf/eper_16.pdf

Addi#onalInforma#onAboutOAG

DataScienceintheNews

Copyright©2017OAGAnaly6cs 9

Q&A

Copyright©2017OAGAnaly6cs 10

Copyright©2017OAGAnaly6cs 11

[email protected]

844-OAG-WELL

www.OAGanalytics.com

Data Science for Oil & Gas