343 Industry courses in Maidenhead

About this Virtual Instructor Led Training (VILT) This 2 half-day Virtual Instructor-Led Training (VILT) course will guide participants on the technoeconomic aspects of capture, utilization and geological storage of carbon dioxide. The VILT course will address the methods and techniques used in the technoeconomic assessment of Carbon Capture, Utilization & Storage (CCUS) projects. It will explore in detail the factors that affect the cost-effectiveness of current and emerging technologies for CO2 capture, transport and geological storage, including monitoring and verification. Given that the successful deployment of CCUS may require economic incentives, technical and economic drivers such as technological innovation, optimization, source sink matching and emerging opportunities will also be discussed. In addition, using several worked examples and case studies, this VILT course will explain the principles behind the analysis of the costs and opportunities of a CCS / CCUS project from source to sink and examines the possibilities of using carbon dioxide from an economic perspective. Training Objectives Upon completion of this VILT course, participants will be able to: Describe the economic considerations for CCS / CCUS projects Measure and calculate the cost-effectiveness of CCS / CCUS Identify the economic drivers for CCS / CCUS Understand the value of source to sink matching Outline the economic and environmental opportunities as well as challenges with using carbon dioxide injection in a range of applications Recognize niche opportunities for CO2 storage (coal seams, basalts, salt and others)   Target Audience This VILT course is ideally suited for a technical audience such as geoscientists, petroleum and chemical engineers as well as professionals such as economists, regulators, legal staff and managers wishing to learn more about the details of economic aspects and the basis for techno-economic analysis of Carbon Capture, Utilization and Storage projects. The VILT course is presented in an interactive workshop format, allowing for discussions. Participants should have: Basic background knowledge of CCUS technologies Experience with oil and gas, coal or other energy projects Basic understanding of the energy industry Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, with 2 breaks of 15 minutes per day. The VILT course is presented in an interactive workshop format that allows discussion. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Your expert course leader received his B.Eng. in Chemical and Environmental Systems in 2002 from Tecnológico de Monterrey, Mexico, and his Ph.D. in Chemical Engineering in 2008 from the University of New South Wales (UNSW), in Sydney, Australia, at the UNESCO Centre for Membrane Science and Technology. His doctoral used computational fluid dynamics (CFD) to analyse the flows within membrane modules used for water treatment and desalination. He also worked on a desalination linkage project between the UNSW and the European Union, as part of Framework Programme 6. From 2009 to 2014, he worked for the Cooperative Research Centre for Greenhouse Gas Technologies (CO2CRC), where he led the research into CO2 Transport Networks, co-led the development of a techno-economic model for the analysis of Carbon Capture and Storage (CCS) projects, and collaborated on several consultancy and feasibility studies conducted by CO2CRC for both Government and Industry. From 2014 to 2019, he held a CONACYT Research Fellowship at the Instituto Tecnológico de Sonora (ITSON) in Mexico, where he led collaborative research projects dealing with RO membrane biofouling (IHE-Delft), membrane modifications, solar energy use for desalination (CSIR-CSMCRI India) and CFD modelling of the hydrodynamics in membrane modules (UMP Malaysia). Since July 2019, he is a Research Fellow in the School of Chemical and Biomolecular Engineering at the University of Sydney, where his research focuses on finding ways to reduce the cost, energy use and environmental impact of technologies for providing clean energy and water. From 2015 to 2020, he was a Member of the Board of Directors of the Mexican Society of Membrane Science and Technology. He guest edited a special edition on CCS for the Journal 'Technologies' and is currently an Editorial Board member for the journal, 'Energies', a peer-reviewed open-access scientific journal. His research interests include improving the efficiency of osmotic membrane separation processes, modelling complex processes involving heat and mass transfer, and exploring the economic drivers of low emission technologies such as the Carbon Capture and Storage (CCS) chain. 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

About this Training Course This 3 full-day course will provide insights into many aspects of operating the modern refinery as a business. This will include technical information on refining processes, crude oils and processing options, the place of the refinery in the value chain, refinery cost structure and management, optimization and profit margin, energy and oil loss reduction. This course will also address important management tools and techniques used for economic evaluations in refineries including future trends. This course will include presentations, simulations, a trading game, and exercises. This is an interactive session where participants can propose relevant topics upfront to discuss during class. This course can be further tailored for inexperienced or experienced personnel. Further customization can also include addressing a specific refinery, plant or unit. The option for post-course consultancy or help-desk support is also available. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives By participating in this highly intensive course, participants will be able to: Understand the main functions in refining processes, configurations and its operating characteristics Analyse the choice of crude, processing options and desired products and product quality parameters Closely review refinery economics and planning, margins, costing & valuation including trading Apply the methodology of refinery optimization and product improvement Gain an application of analytical tools to refinery management, supply chain and their economic drivers Appreciate the current challenges, opportunities and future trends impacting the refining industry Target Audience This course will benefit all refinery technical personnel, operations' process engineers and process managers, technical services engineers and managers, refinery planners, newly-hired refinery personnel and current semi-technical personnel who require introductory training to acquire the broader perspective of refinery economics and supply. Course Level Basic or Foundation Trainer Your expert course leader is a passionate world-class expert with 35 years of international experience in Crude Oil, Refinery Planning and Masterplanning, Process Modelling, LP Modelling and Optimization Best Practices. He has a sound understanding of refinery processes and economics. After retiring from Shell in 2020, he is now a principal consultant for Crude Oil & Refinery Modelling. He enjoys dealing with challenging technical problems and opportunities to deliver value through practical solutions. He has a hands-on mentality, is flexible and builds strong relationship with clients. During his career, he coached many engineers and delivered countless inhouse and external courses on crude oil, hydrocracking and general refinery processes and economics at the Shell Open University and many other client locations. He authored and co-authored several publications and presentations at international conferences and has three patents to his name. He understands how to deliver outstanding services in sometimes difficult cultural and commercial situations, having worked for clients around the world. He works effectively in multi-disciplinary teams, has strong analytical and problem-solving skills as well as excellent consulting, facilitation and interpersonal and multilingual skills. He has an MSc in Chemical & Agricultural Engineering (cum laude) and a BSc in Chemical & Agricultural Engineering from the University Ghent, Belgium. He is currently the Principal Consultant for Crude Oil & Refinery Modeling at Petrogenium, the international, independent, technical consultancy in oil refining, petrochemicals, oil & gas production & renewable resources. 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

Advanced Certified Scrum Product Owner® (A-CSPO®): In-House Training All Advanced CSPO courses are taught by Educators approved by the Scrum Alliance. Taking an Advanced CSPO course, meeting the learning objectives, and accepting the license agreement designates you as an Advanced Certified Scrum Product Owner. Please review your trainer's course description below to determine which learning objectives this course satisfies. What you will Learn You'll learn to: Manage multiple business initiatives from competing stakeholders Clearly order and express Product Backlog items Define a clear product vision that ensures your product remains focused on the features your customers and end users will actually use Communicate effectively with various stakeholder groups to achieve alignment Identify the crucial opportunities and avoid wasting time Define and validate business value Increase your credibility as a product expert and become recognized as a person who delivers real business results Benefits Build on your foundational knowledge with enhanced implementation skills Distinguish yourself in the global marketplace Stand out in your industry as a member of the Scrum Alliance globally-recognized community Show advanced value to your employer (or potential employer) as a highly trained Agile professional

About this training Mature fields differ from green field developments in that major infrastructure is in place, static reservoir data has accumulated from development drilling and a growing volume of production and processing performance data has become available. Decisions therefore relate to incremental projects, which may be small in scope and are often economically marginal. A firm understanding of the technical fundamentals associated with reservoir, wells and surface facilities is therefore required to make quality decisions in this environment, supported by realistic uncertainty ranges, and consistent application of incremental project economics and risk analysis. Various strategies may be considered to manage the mature asset, from harvest to divest, and the selected incremental activities should support a clear chosen strategy. Training Objectives Upon completion of this course, participants will be able to: Characterize the overall challenges associated with mature field developments Evaluate critical insights from subsurface data and apply this to modelling options and recovery methods Assess associated well data, typical late life issues and drilling and completion options for mature developments Manage the role of risk and uncertainty when making mature field development planning decisions Prepare a strategy and implementation plan Target Audience The course is intended for individuals who play a part in evaluating, screening and maturing oil and gas field development opportunities. The following personnel will benefit from the knowledge shared in this course: Petroleum engineers Geoscientist Facilities engineers Commercial staffs Reservoir engineer Production engineer Drilling engineer Project manager Asset manager Field engineer Exploration manager Course Level Basic or Foundation Trainer Your expert course leader, boasts nearly four decades of experience in the upstream oil & gas industry. He began his career in the back in 1982, spending 13 years with Shell International across several global locations. During his tenure, he served primarily as a reservoir engineer, contributing to exploration prospect evaluation, field development planning, corporate business planning, and drilling operations. Throughout his career, he has executed a diverse range of reservoir engineering projects for multiple UK and international firms, and has successfully led several PE study teams. Furthermore, he has continuously provided reservoir engineering and commercial training to oil company staff on a national and international scale. 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

HTTP streaming training course description This course looks at the delivery of video streams using HTTP adaptive streaming. Both MPEG DASH and HLS are investigated. Hands on sessions primarily involve using Wireshark to analyse streams. What will you learn Use Wireshark to analyse and troubleshoot HTTP video streams. Explain HTTP adaptive streaming works. Evaluate and compare MPEG DASH and HLS. Use tools to create HTTP adaptive streams. HTTP streaming training course details Who will benefit: Anyone working in the broadcast industry. Prerequisites: TCP/IP foundation for engineers Duration 2 days HTTP streaming training course contents What is HTTP streaming? The old way. Progressive downloads versus streaming. Why not UDP and RTP for delivery? Adaptive bit rate streaming. Standards. Hands on Base network setup. Using WireShark for HTTP streams. HTTP protocol stack IP, TCP, IPv6. HTTP. HTTP 1.0, HTTP 1.1, HTTP 2.0, HTTP header fields. HTML 5. Hands on Analysing HTTP. Adaptive bitrate streaming principles Chunks, fragments, segments. Manifest files. Encoding, resolution, bitrates. Addressing, relative and absolute URLs, redirection. When does the client switch streams? Switch points. Hands on Walk through of client behaviours on a stream. HTTP streaming architecture Server components, distribution components, client software. CDN, caching, multiple servers. Hands on Analysing CDN and Internet delivery. TCP and HTTP streaming interactions TCP ACK, TCP connections, unicast only. TCP flow control, TCP and performance. Hands on TCP window sizes. MPEG DASH Stakeholders, DASH architecture and model, codec agnostic, XML, Media Presentation Description, Media Presentation, segment formats. Hands on MPEG DASH analysis. HTTP Live Streaming and others Stakeholders. Media segments, media playlists, master playlists. Adobe HTTP dynamic streaming, Microsoft smooth streaming. Hands on Analysing HLS. Tools mp4dash, mp4fragment, libdash. Apple developer tools for HLS. Hands on Creating segmented content. Security HTTPS, encryption, content protection. Hands on Encryption analysis. Summary Choosing a streaming method. Impact of live versus VoD. Web sockets.

About this Training Course Well interventions have a large opportunity to enhance well production if correctly designed and implemented. Conversely, they can have a large negative impact on production if they're not. The Well Intervention & Productivity School (WIPS) is designed to help well intervention specialists, well service supervisors, and petroleum engineers become more aware of the problems that can arise in the planning and execution of well interventions. This 5 full-day course is designed to make those that attend aware of how their job can directly impact the productivity. Early identification of problems in wells and effective interventions to fix problems can have a significant impact by minimising lost oil through formation damage and non productive time. As well as discussing best practice, time will be made available for discussion relating to specific problems that may be affecting fields operated by members of the class. The course is a mixture of informal teaching and lectures. In addition, group exercises are used to reinforce the subjects covered during the lectures. This encourages cross discipline awareness, communication and motivates team building. The course has recently been updated in the areas of Subsea and HPHT interventions. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives Upon completion of this course, the participants will be able to: Identify the main reasons for performing well interventions. Identify the main formation damage mechanisms and understand how to prevent them. Improve your knowledge and understanding of well barriers. Improve your knowledge of pumping and stimulation operations. Improve your knowledge of wireline, coiled tubing and hydraulic workover operations. Target Audience The course is aimed at all engineers and contractors involved in the planning and execution of well interventions. This is a school where engineers and supervisors can hone their skills, especially at a time when increased production is a high priority. In the past, course attendees have been a mix of Petroleum engineers, Well Intervention engineers, Reservoir and Drilling engineers, Production Operators, Wellsite supervisors, as well as Geologists. In recent years, delegates have come from a wide range of disciplines and backgrounds. Experience before coming on the course has varied from no field experience and no experience of planning and programming well interventions through to many years working in well interventions. In order to be able to best adapt the course to the delegates expectations, you will be required to submit a pre-course questionnaire upon submission of your registration. Course Level Intermediate Trainer Your expert course leader has over 40 years in the oil industry. During that time, he has worked exclusively in well intervention and completions. After a number of years working for intervention service companies (mostly slickline), he joined BP as an offshore well service supervisor. He was responsible for the day-to-day supervision of well intervention work on many of BP's North Sea platforms and subsea wells. This included coil tubing, e-line, slickline, stimulation and well test operations. An office-based role as a well operations engineer followed. He was responsible for planning, programming and organising of all the well intervention work on the Bruce and later the Magnus fields. In 1995, he moved into completion design. Since then, he has designed many platform and sub-sea completions, often travelling to the rig site to oversee the installation. In addition to his day-to-day work as a completion engineer, he regularly teaches completion and well intervention courses all over the world. He is also the author of the book, Well Control for Completions and Interventions, Gulf Publishing - April 2018. He has also appeared as an expert witness ant the International Court of Arbitration.   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 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

OTT TV for engineers course description This course covers OTT TV by primarily looking at the delivery of video streams using HTTP adaptive streaming. Both MPEG DASH and HLS are investigated. Hands on sessions involve using Wireshark to analyse streams as well as crafting segmented content. What will you learn Explain what OTT TV is, and how it works. Describe the OTT TV architecture. Use Wireshark to analyse and troubleshoot OTT video streams. Explain how HTTP adaptive streaming works. Evaluate and compare MPEG DASH and HLS. Use tools to create OTT TV adaptive streams. OTT TV for engineers course details Who will benefit: Anyone working in the broadcast industry. Prerequisites: TCP/IP foundation for engineers. Duration 2 days OTT TV for engineers course contents What is OTT TV? Brodeo providers vs ISPs. Progressive downloads versus streaming. Why not UDP and RTP for delivery? Adaptive bit rate streaming. Standards. Hands on: Base network setup. Using WireShark for HTTP streams. HTTP protocol stack IP, TCP, IPv6. HTTP. HTTP 1.0, HTTP 1.1, HTTP 2.0, HTTP header fields. HTML 5. Hands on: Analysing HTTP. Adaptive bitrate streaming principles Chunks, fragments, segments. Manifest files. Encoding, resolution, bitrates. Addressing, relative and absolute URLs, redirection. When does the client switch streams? Switch points. Hands on: Walk through of client behaviours on a stream. OTT TV streaming architecture Server components, distribution components, client software. CDN, caching, multiple servers. Hands on: Analysing CDN and Internet delivery. TCP and HTTP streaming interactions TCP ACK, TCP connections, unicast only. TCP flow control, TCP and performance. Hands on: TCP window sizes. MPEG DASH Stakeholders, DASH architecture and model, codec agnostic, XML, Media Presentation Description, Media Presentation, segment formats. Hands on: MPEG DASH analysis. HTTP Live Streaming and others Stakeholders. Media segments, media playlists, master playlists. Adobe HTTP dynamic streaming, Microsoft smooth streaming. Hands on: Analysing HLS. Tools mp4dash, mp4fragment, libdash. Apple developer tools for HLS. Hands on: Creating segmented content. Security HTTPS, encryption, content protection. Hands on: Encryption analysis. Summary Choosing a streaming method. Impact of live versus VoD. Web sockets.

SMPTE 2022 training course description SMPTE 2022 is the standard for IP video transport in the broadcast industry. This course covers the seven section of the standard in detail. Particular attention is given to FEC and seamless protection switching areas of the standard. What will you learn Use Wireshark to analyse. SMPTE 2022 streams. Explain the role of FEC in SMPTE 2022. Explain how SMPTE 2022 provides resilience. SMPTE 2022 training course details Who will benefit: Anyone working with TV distribution. Prerequisites: TCP/IP foundation for engineers Duration 1 day SMPTE 2022 training course contents Introduction What is SMPTE 2022, SMPTE 2022 parts. SDI over IP. Contribution and distribution versus delivery. The SMPTE 2022 protocol stack SMPTE 2022-2 (mapping of MPEG TS into IP) and SMPTE 2022-6 mapping uncompressed video into IP. IP: Best effort, connectionless, DF flag, routers, Diffserv, RSVP. IPv6. UDP: Unreliable, connectionless, broadcasts, multicasts and unicasts. RTP RTP, ports, payloads types, sequence numbers, timestamps. RTP header extensions. RTCP. MPEG2-TS: Elementary streams, transport over IP. FEC Forward Error Correction. SMPTE 2022-1, SMPTE 2022-5. Logical rows and columns. 1D and 2D parity. FEC header format. FEC configuration and choosing dimensions. FEC traffic shaping. Overheads and delays. Seamless protection switching IP failover. SMPTE 2022-7: Sending two matching streams over different paths. Stream synchronization. The HBRMT header. Calculating the packet to switch over. Summary Summary of the 7 sections of the SMPTE 2022 standard. Clock recovery.

About this Virtual Instructor Led Training (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: Why place more focus on data assets? Is data management just about serving geoscientists or engineers with fresh data? What is the value of data management in the E&P sector for decision making? How to convince the data consumers that the data we provide is reliable? Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: Understand why the data asset is now considered as a main asset by energy organizations Appreciate the importance of data governance and become an active stakeholder of it Understand the architecture and implementation of data structure in their professional environment Get familiarized with the more important data management activities such as data security and data quality Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives A detailed reference manual A lexicon of terms for data-management Limited class size to encourage the interactivity Target Audience This VILT course is intended for: Junior/new data managers Geoscientists Reservoir engineers Producers Maintenance specialists Construction specialists Human resources Legal Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm.       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