343 Lecturer courses delivered Online

About this training course Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Understanding of these important production concepts is a must have to exploit the existing assets profitably. 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 basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses Easily recognize the different components from downhole to the surface and their basic structural and operational features Design and analyze different components using appropriate software tools Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization Learn about use cases of Machine learning and artificial intelligence in the artificial lift 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 selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course. 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

Level 3 Award in Education & Training (RQF) and Educational Psychology & Development Education is one of the most influential and noble sectors globally. Be a part of this extremely rewarding profession and build a better tomorrow with this Level 3 Award in Education and Training (RQF)qualification. The Level 3 Award in Education and Training (RQF)qualification is a level 3 Award in Education & Training AET(former PTLLS) which has been regulated by the UK's Govt. and awarded by Focus, the UK's fastest-growing awarding organisation. Focus is a well-established awarding organisation governed by Ofqual, ensuring professionalism and appreciation of the qualifications. This Level 3 Award in Education and Training (RQF) qualification will provide you with the opportunity to walk through every aspect of education and training, its history, and much more. You will get a professional insight into the education and training sector, know more about the opportunities and choices you will have after completing this course. You will also get a widely accepted renowned professional certificate which will change your career curve. With this intensive Level 3 Award in Education and Training (RQF) qualification, learners will get a Premium CPD accredited Educational Psychology and Development course completely FREE!!! These courses will boost the Level 3 Award in Education and Training (RQF) qualification and grow to understand children's psychology, its role and development, and so on. With this Level 3 Award in Education and Training (RQF) qualification, learners will get 20 Premium CPD accredited courses completely FREE!!! With this Level 3 Award in Education & Training AET (former PTLLS) Course, learners will get the 20 Premium courses absolutely FREE. Course 01: Education Management Course 02: Educational Psychology and Development Course 03: Advanced Teaching Assistant Diploma Course 04: Special Education Needs (SEN) Training - Level 2 Course 05: EYFS Teaching - Level 3 Course 06: Phonics Teaching Diploma Level 3 Course 07: Leadership in Teaching Course 08: Lesson Planning for Teaching Course 09: Remote Teaching Online Course 10: Classroom Behaviour Management Course 11: Performance Management Course 12: Work Area Organisation for Increased Office Productivity Course 13: Report Writing Course 14: Domestic Violence and Abuse Awareness - Level 2 Course 15: Child Neglect Awareness Certificate Course Course 16: Level 3 Mental Health and Adolescent Course Course 17: Safeguarding Children Level 3 Course 18: Functional Skills English Practice Level 2 Course 19: Train the Trainer Course 20: Leadership & Management Diploma Educational Psychology & Development This course will help you enrich your learning and grow your understanding of educational psychology, development and so on. Enrol today and step forward to achieve greater things in your career! Qualification Summary Qualification type: Focus Level 3 Award Qualification title: Focus Level 3 Award in Education and Training (RQF) Accreditation status: Accredited Level: 3 Guided Learning Hours (GLH): 48 Total Qualification Time (TQT): 120 Qualification number (QN): 601/6099/8 ****Qualification Curriculum**** **Level 3 Award in Education and Training (RQF)** Unit 1: Understanding Roles, Responsibilities and Relationships in Education and Training Unit 2: Understanding and Using Inclusive Teaching and Learning Approaches in Education and Training Unit 5: Understanding Assessment in Education and Training ***Curriculum of The FREE Course*** **Educational Psychology and Development** Module 1: Educational Psychology: An Overview Module 2: Educational Psychology and its History Module 3: Behavioural Views of Learning Module 4: Cognitive Development Module 5: Social, Moral and Emotional Development Module 6: Constructivism and Motivation Module 7: Dyslexia and Learning Difficulties Module 8: Applying Educational Psychology to Teaching Module 9: Effective Instruction and Technology in Education Module 10: Opportunities and Careers in Educational Psychology Learning Outcomes What skills will I gain from this Level 3 Award in Education & Training (RQF) and Educational Psychology and Development Course? Inclusive Teaching and Learning Teaching, Learning and Assessment Approaches Providing opportunities for English, Maths, ICT and Wider Skills Theories of Learning Communication Induction, Icebreakers and Ground Rules Creating a Scheme of Work Devising an Inclusive Teaching and Learning Plan (Session Plan) Self-Evaluation and Continuing Professional Development Course Duration Total Qualification Time This is an estimate of the total length of time it is expected that a learner will typically take to achieve and demonstrate the level of attainment necessary for the award of the qualification i.e. to achieve all learning outcomes. Total Qualification Time is GLH and an estimate of the number of hours a learner is likely to spend in preparation, study, or any other learning including assessment, which takes place as directed by, but not under the supervision of a lecturer, supervisor, or tutor. The credit value, where given, for qualification, is determined by TQT, as one credit corresponds to 10 hours of learning. Total Qualification Time for this qualification is 120 hours. Guided Learning Hours These hours are made up of all contact time, guidance, or supervision of a learner by a lecturer, supervisor, tutor, trainer, or other appropriate provider of education or training. Guided Learning Hours for this qualification is 48. Assessment Unit 1: Understanding roles, responsibilities and relationships in education and training: You will be required to submit a written assignment demonstrating your knowledge of legal responsibilities, equality and diversity, individual learner needs, maintaining a safe and supportive learning environment, and your role as a teacher and your superiors. Unit 2: Understanding and using inclusive teaching and learning approaches in education You will be required to complete a written assignment demonstrating your knowledge and understanding of inclusive teaching and learning, as well as your understanding of your own role's strengths and limitations, how to motivate learners, ground rules, and teaching and learning resources.You must perform a micro-teach (15 minutes - 1 hour long) to a group of at least three people of your choosing. Unit 5 - Understanding assessment in education and training You will be required to complete a written assignment that reflects your knowledge of the purpose of assessment, different assessment types, how to conduct assessments, understanding learner involvement in assessment, reasons for constructive feedback, and effective assessment record keeping. Video Assessment You have to plan many things, such as observation, questioning/ professional discussion, and inspection of supporting work product evidence. Detailed assignment instructions will be made available to you in the 'Guidance for Achieving the Unit' section of your learning portal with a careful and clear explanation. You have to submit all your assignments via the online portal. Certification Successful candidates will be awarded a Level 3 Award in Education and Training (RQF) Qualification Certificate from Focus Awards Limited. Learners will also get CPD accredited Phonics Teaching Diploma and Special Education Needs (SEN) Training certificate from Apex Learning. Progression Level 4 Certificate in Education and Training Level 5 Diploma in Education and Training Level 3 Award in Understanding the Principles and Practices of Assessment Level 3 Award in Assessing Competence in the Work Environment Level 3 Award in Assessing Vocational Related Achievement Level 3 Certificate in Assessing Vocational Achievement Level 4 Award in Understanding the Internal Quality Assurance of Assessment Processes and Practice Level 4 Award in the Internal Quality Assurance of Assessment Processes and Practice Level 4 Certificate in Leading the Internal Quality Assurance of Assessment Processes and Practice Level 4 Award in Learning and Development Level 4 Diploma in Learning and Development. Who is this course for? Those who have already worked in the teaching profession The aspiring professionals who want to add new skills to their CV Individuals who want to start their career as a teacher or teaching assistant ** Completing this course does not imply that you are qualified to work as a Practitioner Psychologist. If you are seeking a course that fits the HCPC's standards, please contact the HCPC or the RCSLT. ** Requirements Level 3 Award in Education & Training (RQF) qualification does not have any specific entry requirements for students. However, you must be at least 19 years old or above to register. Career path Level 3 Award in Education & Training (RQF) You will have the ability to accomplish a lot of things with this certificate. Here are just a few examples: Primary School Teacher Secondary School Teacher Private Tutor Freelance Teacher/ Trainer

Ofqual Regulated | ATHE Awarded | Tutor Support Available

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

Level 5 QLS Endorsed Course with FREE Certificate | CPD Accredited |150 CPD Points | Lifetime Access

Inflammation is a key feature of many illnesses and conditions - so what is an Anti-Inflammatory Diet, and how can you put yours in place?

There are quite a few issues with manual memory management. Therefore, to avoid memory leaks and optimally use your memory, automatic memory management is essential. In this course, we'll learn about garbage collection as a form of automatic memory management.

2 QLS Endorsed Course | CPD Certified | Free PDF + Hardcopy Certificates | 80 CPD Points | Lifetime Access

Parsing or syntactic analysis is one of the first stages in designing and implementing a compiler. Implementing a full manual parser from scratch allows understanding and seeing this process from the inside, demystifying internal structures, and turning building parsers into an interesting engineering task.

About this Virtual Instructor Led Training (VILT) Hydrogen will play an increasingly critical role in the future of energy system as it moves forward to supplement and potentially replace fossil fuels in the long run. Offshore wind offers a clean and sustainable renewable resource for green hydrogen production. However, it can also be volatile and presents inherent risks that need to be managed. Even though offshore production of hydrogen has yet to achieve a high state of maturity, many current projects are already dealing with the conditions and effects of offshore production of hydrogen and are grappling with the technological requirements and necessary gas transportation with grid integration. This 2 half-day Virtual Instructor Lead Training (VILT) course will examine the technological options for on-site production of hydrogen by electrolysis (onshore or offshore directly at the platform) as well as the transport of hydrogen (pipeline or ship). This VILT course will also explore the economic considerations and the outlook on future market opportunities. There will be exercises for the participants to work on over the two half-days. This course is delivered in partnership with Fraunhofer IEE. Training Objectives By the end of this VILT course, participants will be able to: Understand the technological attributes and options for green hydrogen production based on electricity from offshore wind. Explore the associated economic analysis for offshore wind hydrogen production, including CAPEX, OPEX, LCOE and LCOH Identify the critical infrastructure and technical configuration required for offshore green hydrogen including transportation networks and grid connectivity Learn from recent findings from current Research & Development projects concerning the differences between onshore and offshore hydrogen production. Target Audience This VILT course is intended: Renewable energy developers and operators Offshore oil & gas operators Energy transport and marine operators Energy policy makers and regulators IPPs and power utilities Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Trainer 1: Your expert course leader is Director of Energy Process Technology Division at the Fraunhofer Institute for Energy Economics and Energy System Technology, IEE. The research activities of the division link the areas of energy conversion processes and control engineering. The application fields covered are renewable energy technologies, energy storage systems and power to gas with a strong focus on green hydrogen. From 2006 - 2007, he worked as a research analyst of the German Advisory Council on Global Change, WBGU, Berlin. He has extensive training experience from Bachelor and Master courses at different universities as well as in the context of international training activities - recently on hydrogen and PtX for partners in the MENA region and South America. He holds a University degree (Diploma) in Physics, University of Karlsruhe (KIT). Trainer 2: Your expert course leader is Deputy Head of Energy Storage Department at Fraunhofer IEE. Prior to this, he was the director of the Grid Integration Department at SMA Solar Technology AG, one of the world's largest manufacturers of PV power converters. Before joining SMA, he was manager of the Front Office System Planning at Amprion GmbH (formerly RWE TSO), one of the four German transmission system operators. He holds a Degree of Electrical Engineering from the University of Kassel, Germany. In 2003, he finished his Ph.D. (Dr.-Ing.) on the topic of wind power forecasting at the Institute of Solar Energy Supply Technology (now known as Fraunhofer IEE) in Kassel. In 2004, he started his career at RWE TSO with a main focus on wind power integration and congestion management. He is Chairman of the IEC SC 8A 'Grid Integration of Large-capacity Renewable Energy (RE) Generation' and has published several papers about grid integration of renewable energy source and forecasting systems on books, magazines, international conferences and workshops. Trainer 3: Your expert course leader is Deputy Director of the Energy Process Technology division and Head of the Renewable Gases and Bio Energy Department at Fraunhofer IEE. His work is mainly focused on the integration of renewable gases and bioenergy systems into the energy supply structures. He has been working in this field since more than 20 years. He is a university lecturer in national and international master courses. He is member of the scientific advisory council of the European Biogas Association, member of the steering committee of the Association for Technology and Structures in Agriculture, member of the International Advisory Committee (ISAC) of the European Biomass Conference and member of the scientific committees of national bioenergy conferences. He studied mechanical engineering at the University of Darmstadt, Germany. He received his Doctoral degree on the topic of aerothermodynamics of gas turbine combustion chambers. He started his career in renewable energies in 2001, with the topic of biogas fired micro gas turbines. Trainer 4: Your expert course leader has an M. Sc. and she joined Fraunhofer IEE in 2018. In the Division of Energy Process Technology, she is currently working as a Research Associate on various projects related to techno-economic analysis of international PtX projects and advises KfW Development Bank on PtX projects in North Africa. Her focus is on the calculation of electricity, hydrogen and derivative production costs (LCOE, LCOH, LCOA, etc) based on various methods of dynamic investment costing. She also supervises the development of models that simulate different PtX plant configurations to analyze the influence of different parameters on the cost of the final product, and to find the configuration that gives the lowest production cost. She received her Bachelor's degree in Industrial Engineering at the HAWK in Göttingen and her Master's degree in renewable energy and energy efficiency at the University of Kassel. 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