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
A relaxed and informal Blackwork Embroidery course in the lovely setting of a converted 18th Century cotton mill in Warwick Bridge, Carlisle. This course has been designed to guide the complete beginner or act as a refresher for those who may have dabbled in Blackwork embroidery in the past. We will cover the history, styles of Blackwork embroidery, threads and techniques.
About this Training Course This 5 full-day course is aimed at engineers and supervisors who already have a basic understanding of well construction methods but who would benefit from a more detailed knowledge of completion design. The course will concentrate on the important aspects of completion design and what makes a safe and efficient well. A common thread of practical examples will be used throughout the course in the form of a case study or 'red-thread' exercise. The case study is based around data all taken from a single field where those attending will work through all the basic issues of a completion design. The exercises associated with the case study is performed in the student's own time after each of the formal sessions. However, at the start of the next day, the case study is reviewed and discussed. The whole case study will continue through all sessions, with each element being reviewed at the start of the next session. There is no 'right' answer to the exercise - producing interesting discussions! The purpose of the course is not to go over specific equipment in detail. Teaching methods include presentations, videos, and animations and the case study. The course will cover: Types and configurations of completions The completion design process Inflow performance, skin and formation damage Perforating; selection, deployment and interface with rest of completion Stimulation and impact on completion and flow performance with coverage of modern horizontal multifrac tools Open hole, non-sand control completions including open hole packers and horizontal well clean up Sand control; when do you need it, basic types and selection guidelines. Includes standalone screens, ICDs, various gravel packing techniques, frac packs and expandable screens Tubing sizing, flow estimation and liquid loading Artificial lift; types and selection criteria, interface with drilling, reservoir and facilities. Design of gas lift and ESPs included Production chemistry impacts on completion, prevention and removal (scales, wax, asphaltene, hydrates, and souring) Metallurgy, corrosion, and erosion; metal types and selection of Elastomers and plastics; types and selection of Tubing stress analysis; picking the grade and weight of tubing, plus selection criteria for packers and expansion devices. Interface between tubing stress analysis and casing design Completion equipment; basic types of equipment, reliability and selection criteria for each (tree, safety valve, mandrel, packers, expansion devices etc) Completion installation; importance of wellbore clean-out, function and types of brines, pointers for efficient completion installation Non-conventional wells; types and when / where to use them (multilaterals, smart (intelligent) wells and also SAGD, CO2 sequestration, CBM, etc) Training Objectives By the end of this course, the participants should be able to: Have a good understanding of the completion design process and what makes a good completion design Understand the importance of the installation process (completion running) in the design process Have an appreciation of new and developing completion techniques (intelligent wells) Target Audience This course will benefit engineers and field-based personnel such as completion supervisors and production engineers. It is also suitable for completion vendors, specialists such as chemists and subsurface personnel including geologists, reservoir engineers and petrophysicists. Trainer Your expert course leader has 30 years of oil and gas industry experience. A first class degree in geophysics and a master degree in Petroleum Engineering was a prelude to seven years with BP as a petroleum engineer. He left BP and following a short spell in Camco, jointly founded ICE Energy. After six years of completions and petroleum engineering consultancy and training, ICE Energy merged with TRACS International, where he continued with petroleum and completion engineering studies, leading integrated teams, and developing / delivering training courses for a variety of different clients in diverse world-wide locations. In the last five years, he is independent again - focusing on technical consulting and course delivery. 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
Our workshop packages are perfect for groups looking for an alternative activity to take part in as part of a corporate event, team building exercise, stag or hen do, birthday party, Christmas party or any other occasion you’d like to embellish with a unique creative spin. Below is a list of ‘off the shelf’ workshops and packages we currently offer however each of these can be customised to suit your needs. So if you like the look of tie due but also want to give t-shirt printing a go drop us an email and we’ll do our best to make it happen. Similarly if you’d like any of these experiences to come to you please get in touch as a selection of our equipment is portable. Booking a workshop as a group would give you a discount price as well. If you are more than 5 people, you can get it from 50£ per person (regular price 75£) for our usual 6h workshop. We also offer short courses (2/3 hours) for 25£ per person. - TSHIRT PRINTING WORKSHOP - PAPER PRINTING WORKSHOP - FABRIC PRINTING WORKSHOP Email hello@3rdrailprintspace.co.uk for a quote.
About this training course Gas-lift is one of the predominant forms of artificial lift used for lifting liquids from conventional, unconventional, onshore and offshore assets. Gas-lift and its various forms (intermittent lift, gas-assisted plunger lift) allows life of well lift-possibilities when selected and applied properly. This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts. This training course covers main components such as application envelope, relative strengths and weaknesses of gas-lift and its different forms like intermittent lift, gas-assisted plunger lift. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the fundamental theories and procedures related to Gas-Lift operations Easily recognize the different components of the gas-lift system and their basic structural and operational features Be able to design a gas-lift installation Comprehend how digital oilfield tools help address ESP challenges 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 the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about implications of gas-lift systems for their fields and reservoirs Course Level Intermediate Advanced 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: 5 days in total (35 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. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. 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 Course This 5 full-day course presents the most modern statistical and mathematical forecasting frameworks used by practitioners to tackle the load forecasting problem across short time and long time scales. The course presents practical applications to solving forecasting challenges, supported by real life examples from large control areas. It presents the weather impacts on the load forecasts and the methodologies employed to quantify the weather effect and building a repository of weather normal data. A good load forecast methodology must improve its forecasting accuracy and support a consistent load forecasting process. The load forecasting widely used in the power industry has evolved significantly with the advancement and adoption of Artificial Intelligence techniques such as Machine Learning. With the increased penetration of inverter-based resources, the operation of electric grids grew in complexity, leading to load forecasts that are updated more frequently than once a day. Furthermore, several jurisdictions adopted a smaller granularity than the hourly load forecasts in the effort to reduce the forecasting uncertainties. On the generation side, fuel forecasting professionals must meet energy requirements while making allowance for the uncertainty on both the demand and the supply side. This training course will also feature a guest speaker, who is a Ph.D candidate to provide insights into the most modern aspects of Artificial Intelligence in the context of load forecasting. Training Objectives This course offers a comprehensive approach to all aspects of load forecasting: Gain a perspective of load forecasting from both operators in the generating plant and system operators. Understand and review the advanced load forecasting concepts and forecasting methodologies Learn the application of Artificial Neural Networks and Probabilistic Forecasting methods to manage forecasting uncertainties in short time frames Appreciate market segmentation and econometric framework for long term forecasts Find out the most recent practical application of load forecasting as examples from large power companies Get access to recent industry reports and developments Target Audience Energy load forecasting professionals from power plant and system operators Energy planners and energy outlook forecasters and plant operators Fuel procurement professionals Planners and schedulers of thermal generating units Course Level Intermediate Trainer Your expert course instructor is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Our Key expert delivered over 60 specialized seminars to executives and engineers from Canada, Europe, South and North America, Middle East, South East Asia and Japan. Few examples are: Modern Power System in Digital Utilities - The Energy Commission, Malaysia and utilities in the Middle East, GCCIA, June 2020 Assessment of OETC Control Centre, Oman, December 2019 Demand Side management, Load Forecasting in a Smart Grid, Oman, 2019 Renewable Resources in a Smart Grid (Malaysia, Thailand, Indonesia, GCCIA, Saudi Arabia) The Modern Power System: Impact of the Power Electronics on the Power System The Digital Utility, AI and Blockchain Smart Grid and Reliability of Distribution Systems, Cyme, Montreal, Canada Economic Dispatch in the context of an Energy Market (TNB, Sarawak Energy, Malaysia) Energy Markets, Risk Assessment and Financial Management, PES, IEEE: Chicago, San Francisco, New York, Portugal, South Africa, Japan. Provided training at CEO and CRO level. Enterprise Risk methodology, EDP, Portugal Energy Markets: Saudi Electricity Company, Tenaga National Berhad, Malaysia Reliability Centre Maintenance (South East Asia, Saudi Electricity Company, KSA) EUSN, ENERGY & UTILITIES SECTOR NETWORK, Government of Canada, 2016 Connected+, IOT, Toronto, Canada September 2016 and 2015 Smart Grid, Smart Home HomeConnect, Toronto, Canada November 2014 Wind Power: a Cautionary Tale, Ontario Centre for Public Policy, 2010 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 There are various kinds of geophysical data available. They are separated into seismic and non-seismic (multi-physics) data. Non-seismic or multi-physics data (which includes gravity, magnetics, electrical, electromagnetics, spectral etc - apart from providing complimentary information to seismic) is the main source of information for very shallow subsurface applications such as engineering, mapping pollution, archaeology, geothermal energy, and related areas. This 5 full-day blended course will focus specifically on seismic data which is the main method used in the Oil & Gas industry. In this blended course, participants will be equipped to understand that seismic data represents the movement of the surface, resulting from waves generated by a source, dynamite or vibrator which are reflected by changes in the subsurface rocks. The basic principles of acquisition and processing will be explained and insights into advanced methods, allowing a much more accurate interpretation of seismic data than previously considered possible, will also be provided. This blended course contains an introduction to Machine Learning and its important role in all aspects of seismic acquisition, processing, and interpretation. There is no need to know in detail how the algorithms work internally but it is necessary to know how to use them correctly to achieve optimum results. Training Objectives By attending this course, participants will be able to acquire the following: Obtain an understanding of the strengths and limitations of geophysical methods, specifically seismic, and the costs and risks involved, and how to reduce these. Be able to communicate more effectively with staff in other disciplines. Understand the potential applications of seismic data and know how to formulate the requirements needed for prospect and field evaluation. Gain an awareness of modern seismic technology. Apply the learning in a series of practical, illustrative exercises. Know what types of questions to ask to assess the necessary quality of a seismic project in its role in a sequence of E&P activities Target Audience The blended course is intended for non-geophysicists who have intensive interaction with geophysicists. But it may be of interest to those who want to know about the recent progress made in geophysics, leading to amazing imaging results, which could not be imagined a decade ago. The blended course will bring to the attention of the geologists, petrophysicists and reservoir/petroleum engineers an awareness of how the data they will work with is acquired and processed by the geophysicist. It will introduce the concepts that are of importance in geophysics and thus relevant for non-geophysicists to know and be able to communicate with geophysicists as well as formulate their requests. Course Level Intermediate Trainer Your expert course leader has degree in Geology (University of Leiden), a Master's degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on 'Full wave theory and the structure of the lower mantle'. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the 'shadow zone' of the core. These observations were then translated into rock properties of the D' transition zone. After his PhD, he joined Shell Research in The Netherlands to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. He subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben. As part of the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments. After his return to The Netherlands, he headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of 'Contractor' software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that period, he was also a part-time professor in Applied Geophysics at the University of Utrecht. From 2001 to 2005, he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, he became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods. After his retirement from Shell, he founded his own company, specialising in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies. In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating 'Artificial Intelligence' in his courses, he also developed a dedicated Machine Learning course for geophysics. 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
The shortage of electricians has lead to an increased demand nationwide and in turn a sharp rise in salary. Our training solutions can help you gain nationally recognised qualifications such as City & Guilds and NVQ. Not only you will train in state-of-the-art training centres, but you can also have the opportunity to attain the Work Based Performance Units and complete a portfolio of diverse evidence of onsite work.
About this Virtual Instructor Led Training (VILT) This 5 half-day Virtual Instructor Led Training (VILT) course covers carbon capture and geological storage of carbon dioxide. Burning fossil fuels for energy is a major source of carbon dioxide emissions to the atmosphere. Most anthropogenic (man-made) carbon dioxide is emitted by coal-fired or gas-fired power plants, and significant quantities of carbon dioxide are emitted through the production and separation of carbon dioxide-rich natural gas and industries such as cement, iron and steel. Carbon Capture Utilization and Storage, or CCUS, involves the long-term storage of captured carbon dioxide emissions in subsurface geologic formations. This VILT course covers all aspects of CCUS including transport, storage and monitoring, economics and community engagement. It explores in detail the challenges of the current technology of geological storage, monitoring and verification including examples from working projects around the world. Many of these technologies are commonly employed by the petroleum industry. Successful deployment of CCUS will also require economic incentives, appropriate regulation, clarity on liability issues and acceptance by the community. These aspects of CCUS, and the corresponding opportunities for appropriately skilled organisations and individuals also will be discussed. Course Content at a Glance Context for CCS/CCUS as An Emissions-reduction Measure Principles of Geological Storage Finding Geological Storage Sites Stationary Sources of Carbon Dioxide for Capture Carbon Dioxide Capture Technologies Compression and Transport of Carbon Dioxide Economics of CCS/CCUS Community, Safety, Legal & Regulatory Issues Risk Assessment Training Objectives Upon completion of this VILT course, participants will be able to: Identify the need for Carbon Capture and Storage (CCS) Outline the key steps in the Carbon Capture and Storage process Distinguish between reservoir rocks and sealing rocks Describe the importance of permeability and porosity to storing carbon dioxide Contrast the geological structures and trapping mechanisms for storing carbon dioxide Describe the changes in geologically stored carbon dioxide over time Outline the monitoring techniques employed to ensure the carbon dioxide is safely stored Appreciate the industrial applications of carbon dioxide capture Recognize the scale of industry required for transporting and storing carbon dioxide Describe economic considerations for CCS/CCUS Outline the economic and environmental opportunities and challenges with using carbon dioxide injection in a range of applications Explain the challenges of regulatory frameworks and public acceptance in a CCS/CCUS project Identify potential risks of a CCS/CCUS project Outline the risk assessment and management process Target Audience This VILT course is ideally suited for a technical audience - geoscientists, petroleum and chemical engineers - as well as for economists, regulators, legal staff and managers wishing to learn more about the details of both the technical, regulatory and socio-economic aspects of carbon capture and storage. Participants should have: Experience with oil and gas, coal or other energy projects Basic understanding of the energy industry Course Level Intermediate Trainer Your first expert course leader spent 18 years in the Petroleum Industry before joining academia, in both technical and managerial roles with Shell, Arco and Vico. He has received numerous awards, including Distinguished Service, Honorary member and Special Commendation awards from the American Association of Petroleum Geologist (AAPG) and was AAPG's International Vice-President and recently chairman of AAPG's House of Delegates (the Associations Parliamentary body). He is an SPE Distinguished Lecturer (DL) and has served as DL for several other professional organisations, including, AAPG, IPA and PESA. He is currently a Professor of Petroleum Geology and Engineering at the Australian School of Petroleum, University of Adelaide. He holds the South Australia State Chair in Carbon Capture & Storage (CCS) and is also presently Distinguished Scientist of the Cooperative Research Centre for Greenhouse Gas Technologies (CO2CRC), having served earlier as the Storage Program Manager and Chief Scientist. Your second expert course leader has a wide and deep knowledge of major capture technologies: solvent, membrane and adsorption based technologies and has developed pathways for retrofitting CO2 capture and storage (CCS) to fossil fuel-based power plants. He has been actively engaged in Post-combustion capture project management and demonstration projects in Victoria's Latrobe Valley on CO2 capture and hydrogen production, and on CO2 capture using membrane contactor technology. He has led various feasibility studies for the Asian Development Bank on CO2 Capture at Indian Oil Corporation's refineries, for JPOWER on hydrogen production from Victorian brown coal and for Kawasaki on incorporation of CCS in hydrogen production from fossil fuel. He has authored multiple peer reviewed journal articles, co-authored various confidential reports on CO2 capture, utilization and hydrogen production and utility, and has presented his work at various conferences, symposiums and seminars. He has a PhD in Chemical Engineering from Monash University Australia and a Master of Technology in Process Engineering from Indian Institute of Technology Delhi India. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations
The market for professional services is becoming increasingly competitive, with some firms and individuals becoming very effective at winning new work, leaving others lagging way behind. Given the choice between spending time on client work and business development work, we all tend to choose that which we feel to be easier, more attractive and more aligned with our image of ourselves. We stay within our comfort zones, we focus on client work, and we only resort to business development work when we have to, which can also lead to 'feast or famine' syndrome. The programme will help participants: Understand the professional business development approach and the style that is appropriate for their business and their clients Follow a process to guide their conversations and business development meetings Prepare thoroughly for a business development meeting/contact with a client to ensure they use their time efficiently and maximise results Create a great first impression and professional opening to a conversation Ask open questions and listen effectively in order to spot opportunities, understand needs and progress the opportunity Identify and understand buying and decision-making processes and criteria Skilfully and confidently handle questions and objections Sell the benefits of their services and approach over those of their competitors Progress the sale by agreeing next steps and gaining commitment appropriately 1 Introduction Aims and objectives of the programme Personal introductions and objectives Workshop overview 2 An introduction to business development and selling for professionals What is selling? Who are you selling to? The buying experience What clients want The four-step business development process The business development cycle and pipeline management Upselling and cross-selling as well as winning new clients 3 Networking and generating leads What is networking? Networking objectives It's not what you know but who you know Asking for referrals and introductions Making appointments from networking activity 4 Opening the sales relationship/sales meeting What potential customers are thinking Judging first impressions Creating positive first impressions Building rapport and creating interest and impact Earning the right 5 Core communication skills for professional selling Overcoming barriers to listening The art of listening Questioning refresher Types of questions Questioning funnel 6 Understanding and identifying needs and opportunities Identifying the questions to ask to identify needs and opportunities Questions to move us through the buying and selling process Understanding their buying processes Asking questions that position you as a 'trusted adviser' The questions that give you a competitive advantage Knowing when you have asked enough questions 7 Introducing solutions Tailoring your 'pitch' to the client Speaking the client's language Using features and benefits Applying the benefit cycle 8 Handling objections and concerns Identifying the typical objections and concerns Understanding why clients raise objections and concerns Following a structure for handling objections Handling the price objection 9 Gaining commitment Knowing when to close The art of checking Recognising buying signals Small c and big C 10 Putting it all together Personal learning summary and action plans