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:20210101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20251013 DTEND;VALUE=DATE:20251017 DTSTAMP:20260405T232445 CREATED:20250410T080719Z LAST-MODIFIED:20250410T081700Z UID:10002109-1760313600-1760659199@www.opuskinetic.com SUMMARY:AI Mastery in Upstream: Neural Networks\, Deep Learning\, and MLOps DESCRIPTION:Why Choose this Training Course\nThis hands-on upstream AI training course is crafted to provide participants with in-depth knowledge and practical experience in key Deep Learning techniques\, including Reinforcement Learning\, Generative Adversarial Networks (GANs)\, and Large Language Models (LLMs). Blending theoretical insights with practical exercises based on real-world Oil & Gas datasets\, the upstream AI training eural enables participants to develop the skills needed to confidently apply Deep Learning in solving everyday challenges within the Oil & Gas industry. \nThis upstream AI training offers a deep dive into Deep Learning and MLOps tailored for Oil & Gas professionals. Participants begin with foundational knowledge in machine learning\, TensorFlow\, and MLOps\, learning to build and optimize feedforward neural networks. The course progresses into convolutional neural networks\, object detection\, and image segmentation\, applied to tasks like pump monitoring and satellite image analysis. Time-series modeling\, anomaly detection\, and Bayesian networks are explored with applications in ESP maintenance and reservoir forecasting. Advanced natural language processing techniques such as text classification\, summarization\, and Named Entity Recognition are applied to industry texts\, with a focus on building user-friendly interfaces. The final day of this upstream AI training covers cutting-edge techniques including reinforcement learning for well placement and generative AI—using GANs and LLMs—for creating synthetic data and extracting insights from unstructured documents. Through hands-on exercises and real-world datasets\, participants gain practical skills to build\, deploy\, and manage robust AI solutions in upstream operations. \nWho Should Attend\nA reservoir engineer\, geologist\, petrophysicist\, or production/drilling engineer with programming experience and foundational knowledge of data science and machine learning\, looking to build a strong grasp of neural networks\, deep learning\, and machine learning operations (MLOps). \nKey Learning Objectives\n\nRecognizing opportunities to apply Deep Learning techniques within your area of expertise\nMaking informed choices when selecting appropriate machine learning approaches for specific challenges\nUnderstanding fundamental Deep Learning algorithms and how to implement them using TensorFlow and Keras\nApplying key machine learning methods to practical\, real-world scenarios in the Oil & Gas industry\nKey Deep Learning algorithms will be explored in depth\, supported by a variety of reusable code examples drawn from real-world Oil & Gas datasets.\nMLOps principles will also be covered\, providing guidance on developing complete end-to-end machine learning solutions—from defining project scope and training models to deploying them and creating user-friendly graphical interfaces.\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/ai-mastery-in-upstream-neural-networks-deep-learning-and-mlops/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Oil/Gas/Petrochemicals ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/04/Firefly-high-technology-big-data-for-the-upstream-oil-and-gas-sector-93194-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220613 DTEND;VALUE=DATE:20220617 DTSTAMP:20260405T232445 CREATED:20211203T062247Z LAST-MODIFIED:20240806T104350Z UID:10001379-1655078400-1655423999@www.opuskinetic.com SUMMARY:Practical Python Programming for Upstream Professionals DESCRIPTION:Why Choose this Training Course\nThis highly practical Python programming training course aims to provide upstream professionals with a comprehensive introduction to scientific programming in Python and scientific programming. Participants will get the necessary skills and knowledge of the main libraries for data wrangling (Pandas\, SQL)\, data visualization (matplotlib\, seaborn)\, numerical optimization and other topics allowing them to solve a large number of practical problems from the upstream domain and understand advanced topics of data science and machine learning in the accompanying course “Applied Data Science and Machine Learning for Upstream Professionals”. \nWho Should Attend\nA reservoir engineer\, geologist or petrophysicist\, and keen to obtain a fundamental understanding and practical knowledge of scientific programming (Python) and be prepared for advanced topics of data science and machine learning in the accompanying course “Applied Data Science and Machine Learning for Upstream Professionals”. \n– Participants should have strong upstream domain knowledge with a minimum of 5 years experience.\n– Prior programming experience (Python) is an advantage. Recommended pre-reading material on Python can be provided upon request. \nKey Learning Objectives\n\nCOMPREHEND the scientific programming in Python\nACQUIRE the necessary skills and knowledge of the main libraries for data wrangling\, data visualization\, numerical optimization and other topics\nSOLVE a large number of practical problems from the upstream domain\nUNDERSTAND advanced topics of data science and machine learning\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/practical-python-programming-for-upstream-professionals/2022-06-13/ 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/2021/12/python-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT END:VCALENDAR