257 Courses in London

Video coding training course description This course investigates the characteristics of video coding with an emphasis on compression and the standards used in IP networks. What will you learn Explain how video coding works. Describe the main video coding standards. Evaluate and compare the major video coding standards. Video coding training course details Who will benefit: Anyone working with MPEG. Prerequisites: None. Duration 2 days Video coding training course contents Introduction Video coding systems, encoding, transmission, decoding. Digital video formats: Old formats (CIF…), PC formats (VGA…), SD, HD, UHD. Video codecs What is a CODEC, pictures and audio, digitisation, sampling, quantisation, encoding, compressing. Codec types Lossy, lossless, uncompressed. Quality, bandwidth. Video Fps, bitstreams, pictures, frames, fields. Aspect ratios. Colour Colour perception, RGB, YUV, YCbCr sampling, 4:00, 4:2:0, 4:2:2, 4:4:4. Hybrid video coding scheme Picture partitioning, intra prediction, inter prediction, motion estimation, residual coding, in loop filtering, entropy coding. Containers Relationship with codecs, audio, video. Audio Video Interleave (.avi), .asf, QuickTime, AVCHD, Flash, .mp4, 3gp. MPEG-TS. MPEG Analysing MPEG frames. Video coding standards H.264/AVC: Profiles MPEG, bit rates, resolution. I, B, P frames, GOP. MPEG 2, MPEG 4, H.264, H.265, VP9, AV1. Hands onand levels, how it works. H.265/HEVC: Profiles and levels, Quadtrees, slices, how it works. Open video coding: VP8, VP9, AV1.

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 This 5 full-day course will focus on geological fundamentals: how different basin types differ in subsidence mechanisms, basin cycles, heat flow through time, depositional systems, structural styles and their type of petroleum systems. This will allow participants to make realistic interpretations in new areas; interpretations that are consistent with the specific basin type and to be expected depositional systems and structural styles. In addition, through simple paper-based exercises, the course will provide background and understanding of how some of the typical PBE products are made: creaming curves, Field-size plots and Yet-to-find. Finally, the essentials of commercial assessments will be covered. Training Objectives To provide participants with a sound understanding how, and under which conditions different basin types develop, and what the impact of their development is on the typical petroleum systems of these different basin types. To teach evaluation techniques that assist in the regional understanding and illustration of sedimentary basins and their development. While some of these techniques can be done using computers, in the course these will be done 'by hand' for maximum understanding. Target Audience This course is designed in the first place for geoscientists working in exploration and their direct supervisors. The course is also very instructive for specialist staff working closely with exploration staff such as (bio)stratigraphers, geochemists, basin modelers, structural geologists, geophysicists, reservoir engineers and petrophysicists. Course Level Intermediate Training Methods Each topic is introduced by a lecture, and leaning is re-enforced by practical exercises (on paper). There is ample time for discussions of general issues and any specific questions participants may have. For several exercises participants will be invited to do exercises on a basin of their choice, which will make the course more impactful for the participants. Participants will be provided with the following pre-read material: Concepts of Conventional Petroleum Systems. De Jager, J. (2020). Invited contribution for Regional Geology and Tectonics Volume 1: Global Concepts, Techniques and Methodology (eds: Adam, J., Chiarelly, D. & Scarselli, N. Play-Based Exploration of the petroleum potential of the Tremp-Graus, Ainsa and eastern Jaca Sub-basins in the southern De Jager, J & van Winden, M. (2020). invited contribution for Digital Learning - Multi-scale analysis of depositional systems and their subsurface workflows (eds: Grötsch, J. & Pöppelreiter, M.), EAGE. Trainer Your expert course leader has a PhD in Geology from the University of Utrecht. He worked for 31 years (1979 -2010) with Shell as an exploration geologist in a variety of functions across the globe. As Principle Technical Expert, he was responsible for ensuring that Risk & Volume assessments were carried out consistently and correctly in all of Shell's exploration units. In this capacity, he led and participated in countless prospect review sessions and developed and conducted a successful in-house course on Risks & Volume assessment. As manager of the Exploration Excellence Team, he performed in depth analysis of basins and plays and provided advice on exploration opportunities to senior management. Together with his team, he visited most of Shell's exploration offices, working hands-on with Shell's local exploration teams to generate new play and prospect ideas and to suggest evaluation techniques and technologies to apply. In 2010, he was appointed as extraordinary professor Regional and Petroleum Geology at the VU university of Amsterdam and in 2012 also at the University of Utrecht. He was visiting professor at the University of Malaya (Malaysia). Through his own consultancy, as of 2010, he provides advice on exploration activities to several companies and is regularly invited to carry out technical reviews. Activities cover all continents and include Portfolio Reviews, Prospect assessment, Play-based Exploration, and Geothermal activities. He conducts courses on several topics including Risk & Volume Assessment, Prospect Maturation, Basin Analysis, Play-based Exploration, Trap & Seal Analysis, Petroleum Geology for Non-geologists. Some of his recent publications include: De Jager, J. & van Winden, M. (2020): Play-Based Exploration of the petroleum potential of the Tremp-Graus, Aínsa and eastern Jaca Sub-basins in the southern Pyrenees. Invited contribution for Digital Geology, EAGE special publication (eds: Grötsch, J. & Pöppelreiter, M.) De Jager, J. (2020). Concepts of Conventional Petroleum Systems. Invited contribution for Regional Geology and Tectonics Volume 1: Global Concepts, Techniques and Methodology (eds: Adam, J., Chiarelly, D. & Scarselli, N.) De Jager, J. (2021): Handbook Risk & Volume Assessment. Self-published De Jager, J., Van Ojik, K & Smit, R. (2023 - in preparation): Geological Development of The Netherlands. In: Geology of The Netherlands (eds: Ten Veen, J., Vis, G-J., De Jager, J. @ Wong, T.) 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

Video conferencing over IP course description A current hot topic in recent years has been the provision of multimedia services over IP networks - triple play. This course investigates the characteristics of video transmission and then studies the impact on IP networks. What will you learn Describe the issues of video and data convergence. Describe techniques, which can be used in IP to provide low uniform delay. Evaluate video technologies. Design data networks, which will support video.. Video conferencing over IP course details Who will benefit: Technical staff. Prerequisites: TCP/IP fundamentals Intro to data communications & networking Duration 3 days Video conferencing over IP course contents Review Traditional video, digital video, video formats, MPEG, brief review of IP, Uses of video: downloading, streaming, TV, CCTV, conferencing. Video over IP issues Delivery methods: FTTH, ADSL, VDSL, 3G and others. Bandwidth, delay, jitter, signalling. Digitising video, CODECS, packetising video, comparison of techniques. IP performance and QOS IP TOS field, queuing strategies; FIFO, WFQ, custom, priority, RED. Differentiated services, diffserv. Video over IP protocol stack RTP, RTCP, mixers and translators, RSVP. IPv6. Conferencing Traditional solutions, Video conferencing over IP, point to point, multipoint, architectures, bridges. IETF - Session Initiation Protocol Comparison with H.323, SIP proxy, proxy server, redirect server. SDP. Multicasting Multicasting compared to unicasting and broadcasting, when to use and when not to use multicasting. IGMP, DVMRP, PIM. Security Impact of firewalls and NAT, ISMA, DRM, DTCP.

Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.

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

Broadband access training course description ADSL is a broadband technology providing fast Internet access (amongst other applications) over existing telephone lines. This course covers an overview of the DSL family, what ADSL is through to how ADSL works. What will you learn Describe what ADSL is. Describe how ADSL works. Describe the ADSL architecture. Recognise the limitations of ADSL. List the elements required for an ADSL installation. Broadband access training course details Who will benefit: Network engineers and anyone who will be working with ADSL. Prerequisites: Intro to data communications & networking Duration 2 days Broadband access training course contents What is ADSL? Broadband definitions, OSI layer 1, ADSL services, WANS. ADSL features: always on, point to point, Asymmetric, speeds. ADSL benefits, xDSL family, standards, history, example DSL forum documents. ADSL architecture The big picture, The PSTN and telephones, Digital and analogue, PSTN and modems, ADSL vs. modem speeds, Block 1: Customer premises, Block 2: The last mile, Block 3: The exchange, Block 4: the core network. Customer premises Splitters, micro filters, splitter architectures, Splitterless ADSL, ADSL modems, USB, ADSL routers. The local loop ADSL PHY, Some basics, ADSL margins, speed implications, distances, RADSL, Line testing, whoosh tests, line coding, multiple channels, FDM, echo cancellation, Modulation: AM, FM, PM, QAM, QAM constellations, DMT, CAP, Framing, Superframes, fast data mode, interleaved mode, RADSL revisited. The exchange Local exchange ADSL items, DSLAMs, ADSL racks, Contention. The core network The role of the core network, ATM, ATM VPI/VCI, ATM cells, ATM layers, AAL5, RAS, Home gateways. ADSL and the higher layers Layer 2 choices, PPPoA, PPP, CHAP, Layer 4 and above, ADSL and ATM. Installing and configuring ADSL Choosing providers, line activation, hardware requirements, Configuring layer 1 and layer 2, Configuring IP. Summary ITU ADSL standards

The course is a four-hour refresher session for those who have completed the Mental Health First Aid two day course. Just like physical first aid, we recommend you refresh your skills regularly and keep up-to-date.

Face to Face training customised and bespoke. One to One Online or Face to Face

ADSL training course description An introduction to ATM. What will you learn Recognise the benefits of ADSL. Describe what ADSL is. Describe how ADSL works. Describe the ADSL architecture Recognise the limitations of ADSL. List the elements required for an ADSL installation. ADSL training course details Who will benefit: Network engineers and anyone who will be working with ADSL. Prerequisites: Intro to data comms & networking Duration 2 days ADSL training course contents What is ADSL? Broadband definitions, OSI layer 1, ADSL services, WANS. ADSL features: always on, point to point, Asymmetric, speeds. ADSL benefits, xDSL family, standards, history, example DSL forum documents. ADSL architecture The big picture, The PSTN and telephones, Digital and analogue, PSTN and modems, ADSL vs. modem speeds, Block 1: Customer premises, Block 2: The last mile, Block 3: The exchange, Block 4: the core network. Customer premises Splitters, micro filters, splitter architectures, Splitterless ADSL, ADSL modems, USB, ADSL routers. The local loop ADSL PHY, Some basics, ADSL margins, speed implications, distances, RADSL, Line testing, whoosh tests, line coding, multiple channels, FDM, echo cancellation, Modulation: AM, FM, PM, QAM, QAM constellations, DMT, CAP, Framing, Superframes, fast data mode, interleaved mode, RADSL revisited. The local loop ADSL PHY, Some basics, ADSL margins, speed implications, distances, RADSL, Line testing, whoosh tests, line coding, multiple channels, FDM, echo cancellation, Modulation: AM, FM, PM, QAM, QAM constellations, DMT, CAP, Framing, Superframes, fast data mode, interleaved mode, RADSL revisited. The exchange Local exchange ADSL items, DSLAMs, ADSL racks, Contention. The core network The role of the core network, ATM, ATM VPI/VCI, ATM cells, ATM layers, AAL5, RAS, Home gateways. ADSL and the higher layers Layer 2 choices, PPPoA, PPP, CHAP, layer 4 and above, ADSL and IP, ADSL and ATM. Installing and configuring ADSL Choosing providers, line activation, hardware requirements, Configuring layer 1 and layer 2, Configuring IP. Summary ITU ADSL standards.