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Effective URL: https://petroedgeasia.net/training/ccs-analytics-ai-based-carbon-capture-storage-classroom-training/?utm_source=sendinblue...
Submission: On November 10 via api from IE — Scanned from FR
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MENUMENU * Industry Segment * Industry Segment * Upstream Oil & Gas * Midstream Oil & Gas * Downstream Oil & Gas * Electrical Utilities & Power Engineering * Renewable Energy & Industry Applications * Subject Area * Subject Area * * Oil and Gas Business Training * Oil and Gas Business Training * Accounting and Finance * Human Resources * Leadership and Management * Personal Development and Management * Legal and Economics * Supply Chain, Procurement & Project Management * Oil and Gas Technical training * Oil and Gas Technical training * Equipment, Facilities and Maintenance * Gas and LNG * Marine and Offshore * Petroleum Geosciences * Process and Safety * Refining and Petrochemical * Reservoir Engineering * Well Engineering and Production * Data Analytics, Machine Learning & Artificial Intelligence * Oil & Gas Certificates * Oil & Gas Certificates * View Training Courses * Electrical & Power Engineering * Electrical & Power Engineering * Power Generation * Power Industry Business * Power Transmission & Distribution * Electrical Engineering * Renewable Energy, Carbon Capture, Hydrogen & ESG * Locations * Locations * Browse all Locations * Middle East * Middle East * Abu Dhabi, United Arab Emirates * Muscat, Sultanate of Oman * Oceania * Oceania * Brisbane, Australia * New Plymouth, New Zealand * Perth, Australia * Training Courses * Training Courses * Bangkok, Thailand * Kuala Lumpur, Malaysia * Miri, Sarawak, Malaysia * Singapore * Americas * Americas * Houston, Texas, USA * Calendar * Calendar * 2022 – 2023 Training Calendar * In-house or Customised Training * About Virtual Instructor Led Training (VILT) * About Us * About Us * About * Oil & Gas Blog * Call for Trainers * Apply For Jobs * Search for Training Courses * Chat With Us Now * More * Back Renewable Energy, Carbon Capture, Hydrogen & ESG > CCS Analytics: AI-Based Carbon Capture & Storage - Classroom Training CCS ANALYTICS: AI-BASED CARBON CAPTURE & STORAGE – CLASSROOM TRAINING Brochure Download Request for Online Training Request an In-House Proposal Request for In-person Training Code Date Format Currency Team of 10 Per Person* Team of 7 Per Person* Early Bird Fee Per Person Normal Fee Per Person PE1632 23 - 25 May 2023 Kuala Lumpur, Malaysia SGD 4385 4589 4,799 5,099 PE1632 23 - 25 May 2023 Kuala Lumpur, Malaysia USD 3096 3240 3,390 3,600 *Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course date Request for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements Request for in-person classroom training or online (VILT) training format Learn in teams and save more! Enjoy group discounts of up to 50% off normal fees for team based learning. Contact us on info@asiaedge.net to learn more today! CODE PE1632 DATE 23 - 25 May 2023 FORMAT Kuala Lumpur, Malaysia CURRENCY SGD TEAM OF 10 PER PERSON* 4385 TEAM OF 7 PER PERSON* 4589 EARLY BIRD FEE PER PERSON 4,799 NORMAL FEE PER PERSON 5,099 CODE PE1632 DATE 23 - 25 May 2023 FORMAT Kuala Lumpur, Malaysia CURRENCY USD TEAM OF 10 PER PERSON* 3096 TEAM OF 7 PER PERSON* 3240 EARLY BIRD FEE PER PERSON 3,390 NORMAL FEE PER PERSON 3,600 *Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course date Request for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements Request for in-person classroom training or online (VILT) training format ABOUT THIS TRAINING COURSE Science & Engineering Applications of Artificial Intelligence (SEA-AI) has the capability to reduce, curb and even prevent Climate Change. Given the fact that Carbon Capture and Sequestration (CCS) can significantly contribute to the minimization of climate change, then CCS Analytics that incorporate SEA-AI to CCS is a vital technology for reducing and even preventing climate change. The main reason of positive and important contribution of AI to Climate Change has much to do with its engineering application that mainly uses reality and facts and avoids marketing, business, and political ideas. This 3-day training will focus on how to enhance your CCS strategies with the latest innovative technologies. Training Objectives Artificial Intelligence is the new revolution of science and technology. The objective of this course is to: * Examine the most up-to-date and accurate AI and Machine Learning technology * How to use Artificial Intelligence to enhance CCS in order to positively impact climate change * Discover the scientific and realities foundation of AI and Machine Learning and its true application within reservoir engineering * Explore the engineering application of Artificial Intelligence * Incorporate reservoir engineering application of AI & Machine Learning for CO2 Storage in geological formations * Determine the best methods for carbon storage through AI-based reservoir simulation Target Audience This course is designed for but not limited to: * Geoscientists * Drilling engineers * Operation managers * Geologist * Reservoir engineers * Production engineers * Planning managers * Asset management Course Level * Intermediate * Advanced Training Methods The training course is presented in an interactive workshop format that allows for discussion. The course will be delivered through analysis of case studies and running examples of problems. Course Duration: 3 days in total (21 hours) The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. Interaction verbally will be necessary to achieve the best learning outcome from the materials. Course timings and breaks 0830 – Registration 0900 – Start of training 1030 – Morning break 1045 – Training recommences 1230 – Lunch break 1330 – Training recommences 1515 – Afternoon break 1530 – Training recommences 1700 – End of training This course is limited to a maximum of 20 participants only. This course is not available through Virtual Instructor Led Training (VILT) format. Trainer Your expert course leader is a pioneer in the application of Artificial Intelligence and Machine Learning in the Exploration and Production industry. He is currently a Professor of Petroleum and Natural Gas Engineering at West Virginia University. He is the director of WVU-LEADS (Laboratory for Engineering Application of Data Science). He is a SPE Distinguished Lecturer (2007 and 2020) and has been featured four times as the Distinguished Author in SPE’s Journal of Petroleum Technology (JPT 2000 and 2005). Including more than 30 years of research and development in the petroleum engineering application of Artificial Intelligence and Machine Learning, he has authored three books (Shale Analytics, Data Driven Reservoir Modeling, and Application of Data-Driven Analytics for the Geological Storage of CO2), more than 200 technical papers and carried out more than 60 projects for independents, NOCs and IOCs. He is the founder of Petroleum Data-Driven Analytics, SPE’s Technical Section dedicated to AI and machine learning (2011). He has been honoured by the U.S. Secretary of Energy for his AI-based technical contribution in the aftermath of the Deepwater Horizon (Macondo) incident in the Gulf of Mexico (2011) and was a member of U.S. Secretary of Energy’s Technical Advisory Committee on Unconventional Resources in two administrations (2008-2014). He represented the United States in the International Standard Organization (ISO) on Carbon Capture and Storage technical committee (2014-2016). Selected companies that have benefitted from his service: * Hibiscus Petroleum * Saudi Aramco * Petronas * Royal Dutch Shell * Dragon Oil * Total S.A. * Abu Dhabi Company for Onshore Oil Operation – ADCO * BP-Amaco * New York State Energy Research and Development Highlighted Honours / Activities: * Director of WVU-LEADS: West Virginia University Laboratory for Engineering Application of Data Science. * Founder of SPE Petroleum Data-Driven Analytics Technical Section, 2011. * Program director of SPE Petroleum Data-Driven Analytics Technical Section (2019- present). * Recipient of U.S. Secretary of Energy’s Achievement Award for AI-based technical contribution to DOE’s. * Member of U.S. Department of Energy’s “Unconventional Resources Technology Federal Advisory Committee”. Appointed by the U.S. Secretary of Energy as a Subject Matter Expert, in two administrations (2008-2014). * Represented The Unites States in the International Organization for Standardization (ISO) for carbon dioxide capture, transportation, and geological storage (CCS) as a voting member of the US Technical Advisory Group. 2014-2016. * Society of Petroleum Engineers Distinguished Lecturer, 2020-2021. * Society of Petroleum Engineers Outstanding Associate Editor Award, 2008. * Outstanding Professor in Petroleum & Natural Gas Engineering at WVU: Academic years 2005-2006, 2003-2004, 1999-2000, 1995-1996, 1994-1995. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized “One to One” coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations LEARN WHAT PAST PARTICIPANTS HAVE SAID ABOUT PETROEDGE TRAINING COURSES It was really an amazing session with the facilitator on Artificial Intelligence. PETROLEUM DATA ANALYST, CLI-TECH Thanks to the trainer for walking us through the fundamentals of data analytics and its application in the energy industry. SENIOR RESERVOIR ENGINEER, CHEVRON Thank you for bringing us these amazing opportunities to continue our education on these cutting-edge topics that are changing the traditional way to model and analyze oil and gas reservoirs. PRODUCTION AND FLOW ASSURANCE ENGINEER, PEMEX Register Now Request an In-House Proposal Request for In-person Training Request for Online Training Quick Enquiry Brochure Download RELATED COURSES Micro Virtual Instructor Led Training (VILT) – MPD Well Control View More HSE in Oil & Gas Drilling Operations – Classroom Training View More Seismic Stratigraphy and Depositional Systems: Predicting Reservoir Distribution, Geometry & Quality View More Not finding the course or date you’re looking for? Let us Know INTRODUCING VIRTUAL INSTRUCTOR LED TRAINING * Find Out More AN ALTERNATIVE TO TRADITIONAL CLASSROOM BASED TRAINING Download Your PetroEdge & PowerEdge Training Schedule Today! * Training Calendar 2022 * Training Calendar 2023 Receive training alerts for upcoming Oil & Gas training courses relevant to you! --Select subject area of interest-- Accounting and Finance Human Resources Leadership and Management Legal and Economics Personal Development and Management Supply Chain and Procurement Equipment, Facilities and Maintenance Gas and LNG, Process and Safety Marine and Offshore Process and Safety Refining and Petrochemical Reservoir Engineering Well Engineering and Production By submitting this form, you hereby agree to the PetroEdge website terms & conditions Leave this field empty if you're human: CONNECT WITH US TODAY! 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