BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Opus Kinetic - ECPv6.15.12.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Opus Kinetic 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:20250101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20260511 DTEND;VALUE=DATE:20260515 DTSTAMP:20260417T164606 CREATED:20240807T072507Z LAST-MODIFIED:20260309T032018Z UID:10002422-1778490000-1778778000@www.opuskinetic.com SUMMARY:Practical Data Science and Machine Learning for Oil & Gas Professionals DESCRIPTION:Why Choose this Training Course\nThis highly practical data science training course is designed to equip Oil & Gas professionals with a thorough introduction to essential machinlearning methods and a solid hands-on experience in data science and machine learning applications. \nThroughout this data science training\, participants will acquire comprehensive knowledge and develop practical skills necessary for integrating data science and machine learning into their daily work. By mastering these techniques\, participants will improve efficiency and effectiveness in both current and future projects\, ultimately leading to significant improvements in overall performance and substantial value creation for their companies. \nWho Should Attend\nGeologists\, petrophysicists\, reservoir engineers\, production engineers\, drilling engineers and other Oil & Gas professionals keen to obtain a fundamental understanding and practical skills in Machine Learning and Data Science. \nPrerequisite: \n\nParticipants should have strong upstream domain knowledge and at least 5 years of experience.\nPrior programming experience (Python) is an advantage. Recommended pre-reading material on Python can be provided upon request.\n\nKey Learning Objectives\n\nComprehensive Introduction: Gain a foundational understanding of both supervised and unsupervised learning algorithms\, including advanced topics such as deep learning and model explainability.\nHands-On Experience: Build practical skills through detailed\, step-by-step guidance on applying various machine learning methods to real-world Oil & Gas problems.\nConfidence Building: Start with simple\, clear explanations of each method\, gradually progressing to more complex applications and techniques.\nCapability enhancement: Learn how to implement the knowledge gained\, using carefully crafted code examples that can be directly applied to ongoing and future projects\, enhancing overall performance.\nBusiness impact assessment: Develop the ability to identify actual Oil & Gas industry challenges and solve them\neffectively by leveraging Machine Learning and Data Science methods.\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/data-science-training-2/2026-05-11/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Reservoir Engineering ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2021/11/machine-learning-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260520 DTEND;VALUE=DATE:20260523 DTSTAMP:20260417T164606 CREATED:20240903T104750Z LAST-MODIFIED:20260107T043941Z UID:10002341-1779267600-1779469200@www.opuskinetic.com SUMMARY:Gas Well Performance & Deliquification DESCRIPTION:Why Choose this Training Course\n\n\n\n\n\n\n\n\n\n\nThis gas well training course provides the skills to understand and analyze gas well performance\, and to select and design those remedial measures. It addresses all four gas well components i.e. reservoir performance\, inflow performance\, outflow performance and surface performance\, individually and combined. \nGas wells are the most uncertain and therefore critical component of any gas production system. The success of a gas project hinges on accurate forecasting of gas well production and the timely implementation of measures to restore\, sustain\, and enhance well capacity\, thereby maximizing reserves. \nIn depletion-drive gas reservoirs\, outflow performance of the gas well is inevitably affected as reservoir pressure declines\, leading to a gas rate that is insufficient to lift water and condensate to the surface. This condition\, known as liquid loading\, results in a significant loss of well capacity and reserves. The gas well training teaches participants how to recognize and predict liquid loading\, introduces techniques to mitigate it\, and provides instruction on selecting\, designing\, installing\, and operating a comprehensive suite of deliquification measures. \nThe gas well training is structured around a series of lectures and exercises. The lectures are interactive\, featuring field examples to illustrate models and concepts\, and encouraging participants to share their own relevant experiences. The exercises involve using Excel worksheets for model calculations\, with participants invited to apply their own field-specific well data. When arranged in advance\, PROSPER gas well performance software may also be used. \nThis gas well training also addresses methods for monitoring and managing gas well performance and deliquification\, covering the purpose\, outcomes\, and benefits of surveillance and capacity measures to aid in future planning. It specifically focuses on the selection and implementation of deliquification measures. \nOverall\, this gas well training provides the skills and tools necessary for the periodic review of gas well performance\, supporting critical business processes. \n\nOpus Kinetic is also a proud member of the Energy Institute in UK. \n\n\n\n\n\n\n\n\n\nWho Should Attend\nProduction engineer\, surveillance engineer\, completion engineer\, reservoir engineer\, production programmer\, production operator. \nKey Learning Objectives\n\nIntroduction (objectives\, units\, reservoir fluid properties).\nInflow performance (Forchheimer\, matching\, inflow threats & opportunities).\nOutflow performance (single and multi-phase flow\, matching\, liquid loading instability\, other outflow threats & opportunities).\nWellhead & surface performance (operating envelope\, matching\, flowline & choke\, surface pressure buildup\, surface threats & opportunities).\nReservoir performance (minimum pressure & ultimate recovery\, recovery measures\, deliquification strategy\, connected volume).\nProduction forecast & economics (material balance & exponential decline\, liquid loading date prediction\, profitability).\nBuild scenarios (specify & model consecutive remedial measures\, forecast & economics).\nIntermittent production (steady-state\, transient\, huff & puff\, model uptime\, automation).\nDepletion compression (model triple benefits\, location\, type\, capacity\, timing).\nVelocity string (model size\, bottom & top completions\, deployment).\nFoam-assisted lift (batch & continuous\, chemical selection\, model\, deployment).\nPlunger lift (cycle\, completion\, model\, plunger-less lift).\nGas lift (intermittent or continuous\, annular or concentric\, model).\nDownhole pump (applications\, types\, model).\n\nEnquiry Form\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/gas-well-training-performance-deliquification/2026-05-20/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Geology,Oil/Gas/Petrochemicals,Production,Reservoir Engineering,Well Engineering ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2024/09/gas-well-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260706 DTEND;VALUE=DATE:20260709 DTSTAMP:20260417T164606 CREATED:20250710T090320Z LAST-MODIFIED:20260309T035940Z UID:10002423-1783324800-1783530000@www.opuskinetic.com SUMMARY:Advanced Reservoir Engineering DESCRIPTION:Why Choose this Training Course\nThis advanced reservoir engineering course offers a comprehensive deep dive into the core principles and practical applications essential for effective hydrocarbon reservoir management. \nThe curriculum begins by establishing a strong foundation in fluid behavior and modeling. Participants will explore capillary pressure and saturation height relationships\, understand the distribution of hydrocarbon fluids\, and engage in exercises on permeability averaging and water breakthrough. The course then transitions into fluid properties and phase behavior\, covering PVT (Pressure-Volume-Temperature) correlations\, fluid sampling\, and laboratory experiments\, with practical exercises to solidify understanding. This leads directly into reserves classification systems\, focusing on the SPE Petroleum Resource Management System and probabilistic methods\, culminating in hands-on exercises for oil production forecasting using Decline Curve Analysis (DCA). \nThe advanced reservoir engineering program then shifts focus to reservoir models\, well behavior\, and fluid displacement. Participants will learn about oil and gas material balance\, aquifer models\, and the intricacies of well inflow performance\, including the impact of skin and horizontal wells\, reinforced by exercises on well inflow and gas production forecasting. A significant portion is dedicated to modern well test analysis\, covering pressure drawdown and build-up analysis. The course delves into fluid displacement and recovery\, exploring relative permeability\, wettability\, Buckley-Leverett theory\, and pseudo relative permeability. This culminates in an introduction to reservoir simulation modeling\, covering construction\, history matching\, and quality control\, along with discussions of real-world simulation field cases. \nThe advanced reservoir engineering course integrates all learned concepts into recovery strategies and field development planning. Participants will examine the unique challenges of fractured reservoirs\, explore various secondary recovery and Enhanced Oil Recovery (EOR) techniques\, and gain insights into comprehensive oil and gas field development planning\, including regulatory aspects. The program concludes by addressing the crucial topic of handling uncertainty in reservoir engineering\, ensuring a thorough understanding of all key areas. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\n\nReservoir Engineers\nPetroleum Engineers\nGeologists\nGeophysicists\nPetrophysicists\nProduction Engineers\nDevelopment Engineers\nAsset Managers\nExplorationists\nDrilling Engineers (beneficial for well performance aspects)\nData Scientists (involved in reservoir characterization)\nProject Managers (involved in field development)\nTechnicians (supporting reservoir engineering teams)\n\nKey Learning Objectives\n\nAnalyze fundamental reservoir rock properties\, including capillary pressures\, wettability\, and their influence on hydrocarbon fluid distribution and saturation.\nEstimate hydrocarbons-in-place (HCIIP)\, applying the SPE PRMS and SEC systems for reserves and resource classification.\nEvaluate fluid properties and phase behavior using PVT correlations\, and interpret the results of fluid sampling and laboratory procedures.\nApply core reservoir engineering concepts such as material balance equations\, aquifer models\, and well testing techniques to understand reservoir drive mechanisms and well behavior.\nDevelop robust production forecasts using Decline Curve Analysis and design/interpret pressure transient well tests to characterize reservoir properties and well performance.\n\nEnquiry Form\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/advanced-reservoir-engineering/2026-07-06/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Oil/Gas/Petrochemicals,Reservoir Engineering ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/07/reservoir-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260713 DTEND;VALUE=DATE:20260717 DTSTAMP:20260417T164606 CREATED:20240807T072507Z LAST-MODIFIED:20260309T032018Z UID:10002421-1783933200-1784221200@www.opuskinetic.com SUMMARY:Practical Data Science and Machine Learning for Oil & Gas Professionals DESCRIPTION:Why Choose this Training Course\nThis highly practical data science training course is designed to equip Oil & Gas professionals with a thorough introduction to essential machinlearning methods and a solid hands-on experience in data science and machine learning applications. \nThroughout this data science training\, participants will acquire comprehensive knowledge and develop practical skills necessary for integrating data science and machine learning into their daily work. By mastering these techniques\, participants will improve efficiency and effectiveness in both current and future projects\, ultimately leading to significant improvements in overall performance and substantial value creation for their companies. \nWho Should Attend\nGeologists\, petrophysicists\, reservoir engineers\, production engineers\, drilling engineers and other Oil & Gas professionals keen to obtain a fundamental understanding and practical skills in Machine Learning and Data Science. \nPrerequisite: \n\nParticipants should have strong upstream domain knowledge and at least 5 years of experience.\nPrior programming experience (Python) is an advantage. Recommended pre-reading material on Python can be provided upon request.\n\nKey Learning Objectives\n\nComprehensive Introduction: Gain a foundational understanding of both supervised and unsupervised learning algorithms\, including advanced topics such as deep learning and model explainability.\nHands-On Experience: Build practical skills through detailed\, step-by-step guidance on applying various machine learning methods to real-world Oil & Gas problems.\nConfidence Building: Start with simple\, clear explanations of each method\, gradually progressing to more complex applications and techniques.\nCapability enhancement: Learn how to implement the knowledge gained\, using carefully crafted code examples that can be directly applied to ongoing and future projects\, enhancing overall performance.\nBusiness impact assessment: Develop the ability to identify actual Oil & Gas industry challenges and solve them\neffectively by leveraging Machine Learning and Data Science methods.\n\nEnquiry Form\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/data-science-training-2/2026-07-13/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Reservoir Engineering ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2021/11/machine-learning-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260720 DTEND;VALUE=DATE:20260723 DTSTAMP:20260417T164606 CREATED:20250610T052209Z LAST-MODIFIED:20260130T045326Z UID:10002373-1784536200-1784739600@www.opuskinetic.com SUMMARY:SCAL for Better Reservoir Characterization DESCRIPTION:Why Choose this Training Course\n\n\n\n\nThis SCAL training course is designed to provide deep understanding of core analysis and well logging for better reservoir characterization. Accurate measurements of Routine and Special (RCA&SCAL) rock properties using core analysis and well logging reveal good evidence of hydrocarbon presence\, reservoir storage capacity and flow capability. Coring and well logging offer the most tangible and direct means of determining critical reservoir parameters for making important and critical decisions about reservoir management and/or development plus enhanced oil recovery projects. \nThis SCAL training course covers Routine Core Analysis (RCA)\, Special Core Analysis (SCAL) and different well logging techniques. It covers coring objectives\, coring methods\, definitions and measurements of porosity\, permeability\, fluid saturation\, capillary pressure\, wettability\, and others of advanced Special Core analysis (SCAL) tools such as; SEM\, XRF\, ICP-AEX\, and EDS tools. The course also presents different well logging methods (shale\, resistivity\, and porosity logs) of clean and shaly reservoir rocks. \nActual field cases for optimum coring and well logging application are explained with in-class exercises. \nOpus Kinetic is also a proud member of the Energy Institute of UK. \n\n\n\n\nWho Should Attend\n\nPetroleum Engineers & Reservoir Engineers\nGeologists\, Petrophysicists\, and Geophysicists\nEngineers who are new to the profession\nOther individuals who need to know about current & advanced techniques of in reservoir characterization\n\nKey Learning Objectives\n\nDesign good coring program and minimize rock alteration\nDetermine rock properties using routine and special core analyses (SCAL)\nLaboratory and empirical correlations for Special Core Analysis (SCAL)\nInterpret\, and apply different logging methods for clean and shale reservoirs\nCurrent techniques for calculating water saturation in shaly formations\nIntegrate/correlate core and well log data for well correlations/interpretation\nApply different techniques for identification/characterization of hydraulic flow units.\n\nEnquiry Form\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/scal-for-better-reservoir-characterization/2026-07-20/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Geology,Oil/Gas/Petrochemicals,Reservoir Engineering ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/06/SCAL-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT END:VCALENDAR