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About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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

About this training course This 3-days training will provide a comprehensive review of integrity of wells exposed to carbon dioxide (CO2) in the context of Carbon Capture Utilization for enhanced oil recovery and Storage (CCUS). CO2 geological storage is a proven technology to reduce greenhouse gas emissions from sources such as coal power plants, cement kilns and steel mills. Wells are widely considered the most critical containment element, especially older wells that are not used to inject CO2 or monitor the plume evolution in the storage reservoir. The main reason for this perceived risk is the high corrosion rate of carbon steel when exposed to wet CO2, and the tendency of Portland cement to react with the gas. The training course advanced contents build on 15 years' experience in carbon storage, both in the development and deployment of technologies. First-hand, in-depth knowledge of the subject will allow us to debunk myths and focus on the real challenges of wells encountering CO2. Training Objectives After the completion of this training course, participants will be able to: Explain the CCUS market drivers Examine the behavior of CO2, on surface and in the reservoir Diagnose cement defects and design repairs Understand the limits of Portland cement Assess the benefits of different technologies and materials Realize why geology is a dominant factor in cement performance Critically choose the most appropriate monitoring techniques Classify aging processes of cement, steel, and rock when exposed to CO2 Assess the risk of existing wells if they encounter the CO2 plume Examine recent advances in real-time approaches to the production monitoring and lift management Target Audience This training course is suitable and will greatly benefit: All surface technical personnel such as process engineers & technologists Facility engineers, production engineers & technologists Drilling engineers and Well engineers Design engineers and Integrity engineers P&A engineers and Cementing engineers Geologists Senior management executives will benefit from this training as covers an overview of the technical and commercial details of CO2 capture technologies and risks involved. Course Level Intermediate Training Methods 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. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 3 days in total (21 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Trainer Your expert course leader is an engineer with a passion for well integrity and possesses 28 years of international experience in field operations, technology development and management in the oil & gas and carbon storage sectors. Since 2018 he is program chair of the Well Integrity Technical Section of the Society of Petroleum Engineers (SPE). He is also author or co-author of 31 technical papers, a book chapter on CO2 geological storage and 7 patent applications. He delivers training on well integrity, plug and abandonment, asset integrity, risk management and QHSE across the Eastern Hemisphere, and carries out active research on harnessing geological barriers, modeling leaks through cement, and quantifying methane emissions from oil & gas wells. He has extensive expertise in: Well integrity, cementing, corrosion, upstream oil & gas (drilling, completion), carbon capture and storage, mathematical modeling, risk management, reliability, HSSE (health/safety/security/environment), asset integrity, management systems, sustainable development, project management, portfolio management, training, and technology development and innovation. He has personally worked on CCS projects in Europe (France, Germany, Netherlands, Norway), Algeria, Japan and USA. Partial list of companies that have benefited from the trainer's expertise: Vermilion Energy Geostock Aker BP Shell Statoil ENI TNO Geogreen Wintershall Archer INA and many more Recent CCS consulting track record: Schlumberger Total Oxand TNO THREE60 Energy and others 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

The Savile Row Academy Advanced Course in Bespoke Tailoring and Cutting starts each September. The course is a modular programme of advanced study modules including; pattern drafting, cloth cutting, fitting and remarking; Waistcoat making; Trouser making; Coat making. Students will complete one three-piece suit and successful trainees will be awarded a Bespoke Tailor’s Certificate.

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