BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Opus Kinetic - ECPv6.15.12.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://www.opuskinetic.com X-WR-CALDESC:Events for Opus Kinetic REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Asia/Singapore BEGIN:STANDARD TZOFFSETFROM:+0800 TZOFFSETTO:+0800 TZNAME:+08 DTSTART:20240101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20250717 DTEND;VALUE=DATE:20250719 DTSTAMP:20260420T034440 CREATED:20250204T045145Z LAST-MODIFIED:20250204T045145Z UID:10002027-1752710400-1752883199@www.opuskinetic.com SUMMARY:Best Practices for Subsurface Data DESCRIPTION:Why Choose this Training Course\nMany organizations are looking to re-task and up-skill their data management personnel to focus on important data types\, fill roles in projects that are critical to success\, and position staff for changes in the energy industry. \nIn addition\, the competitive pricing regime means that many assets will be examined internally for divestiture\, joint venture\, mergers\, or acquisition and will require auditable\, coherent and well curated data sets available for evaluation. This course teaches the processes that capture and transform raw data into actionable insight to improve asset value and reduce risk for the petroleum industry. \nOne of the challenges the industry faces is making validated data available to decision-makers across several departments\, functions or disciplines in a timeframe that supports critical business decisions. This subsurface data training course gives participants hands-on techniques for breaking down barriers and making data available to decision makers. The subsurface data training course draws on case studies and examples from upstream and subsurface technical data. \nRecent work with petroleum data analysts has highlighted the areas of best practice from field validated data management methodologies that will be most important in the next 18 months of a rapidly changing energy and resource sector. This course has been customized based on those industry priorities and is a highly interactive and hands on practical course for technical workers who deal with oil and gas data in subsurface operations domains. \nThe procedures and high level enterprise processes can be applied to reduce risk and to develop lessons learned for critical legacy data. There is a continued push for programs and initiatives that will deliver efficiencies and benefits in a short time frame with demonstrable value and metrics. \nThis subsurface data training course will equip data managers and technicians with the competencies and skill sets needed to deliver value from all types of data\, using industry best practices and proof points from an established data management body of knowledge. The course content is aligned with competency definitions\, indicators and resources in the Professional Petroleum Data Management Association’s Certified Petroleum Data Analyst (CPDA) Exam. \nAfter the subsurface data training course\, participants will have the option to have the course instructor serve as a Recommender for the Certified Petroleum Data Analyst exam\, or to have internal one-on-one follow up sessions. \nWho Should Attend\nThis subsurface data training format works best with professionals whose role is linked to data management and could include: \n\nData managers\nData analysts\nData technicians\nDocument managers\nFacilities data managers and technicians\nEngineering records managers\nData architects\nTechnical librarians for asset teams\nSurface data content managers\nOperational information managers\nEnd users of operational\, facilities and engineering data\nAsset team data managers\nIndustry content providers\nTechnical assistants working with operational data.\n\nKey Learning Objectives\n\nManage data as an asset through exploration and production lifecycle processes\nLearn how an organization analyses and oversees maintenance of data and information stores\nExamine how organizations apply quality management methods to assess\, improve and assure data fitness for business use\nCommunicate value of data in a clear and timely manner to align with business strategy\nApply policies\, practices\, and procedures to assure compliance with company and regulatory data governance business rules •\nExecute strategies for data security management\nOptimize the use of critical geospatial data for petroleum analysis\nSelect and prioritize the scope of data types to be managed in master data storesw\n\nEnquiry Form\n\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/best-practices-for-subsurface-data/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Oil/Gas/Petrochemicals ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/02/subsurface-data-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT END:VCALENDAR