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:20230101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20241111 DTEND;VALUE=DATE:20241114 DTSTAMP:20260530T205800 CREATED:20240708T062334Z LAST-MODIFIED:20250207T034049Z UID:10001758-1731283200-1731542399@www.opuskinetic.com SUMMARY:Water Alternating Gas EOR DESCRIPTION:Why Choose this Training Course\n\n\n\n\n\n\n\n\n\n\nIt is known that two-third of the original oil in place are still in the ground. Petroleum companies are looking for techniques to improve sweep efficiency and increase recovery factors. The Water Alternating Gas (WAG) process can be optimized by using CO2 instead of natural gas\, and adding some chemical additives in the water slug such as Alkalis\, Surfactant and Polymers. This improvement in the WAG process by using chemical in the water slug is known as Chemical WAG or CWAG. \nOur WAG EOR training course is developed to provide theoretical & practical aspects of enhancing oil recovery by using Chemical EOR methods in running successful water alternating gas floods. \n\n\n\n\n\n\n\n\n\n\nWho Should Attend\nThis WAG EOR training course is designed and developed for reservoir and production professionals who are involved in enhancing oil recovery in running successful water alternating gas floods\, including: \n\nReservoir Engineers\nEOR Project Engineers\nEOR Project Managers\nEOR Project Coordinator\nProduction Technologist\nLaboratory Technicians\nResearches in Reservior Engineering\n\nKey Learning Objectives\n\nBuild strong understanding in fundamental of chemically enhanced WAG processes\nGain firm foundation in learning methods of running CWAG processes to enhance oil recovery.\nImprovise the efficiency of current conventional WAG process\nMaximize oil recovery and overcome issues occur in conventional WAG process by learning control parameters in CWAG process & CWAG screening criteria.\nOptimization in CWAG using simulation approach\nCWAG field cases & simulation exercises are included for better grasp of the knowledge in running CWAG process to ensure success during implementation of this technology.\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/water-alternating-gas-eor-training/2024-11-11/ LOCATION:Dubai\, United Arab Emirates CATEGORIES:Oil/Gas/Petrochemicals,Reservoir Engineering ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2024/07/EOR-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:23.424076;53.847818 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20241119 DTEND;VALUE=DATE:20241123 DTSTAMP:20260530T205800 CREATED:20240807T072507Z LAST-MODIFIED:20260309T032018Z UID:10000848-1731974400-1732319999@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-2/2024-11-19/ 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:20241125 DTEND;VALUE=DATE:20241130 DTSTAMP:20260530T205800 CREATED:20240903T104750Z LAST-MODIFIED:20260506T041650Z UID:10001795-1732492800-1732924799@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/2024-11-25/ 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 END:VCALENDAR