1837 Courses in Leeds

Red Hat training course description This three day hands on course provides a comprehensive coverage of core Linux administration tasks on Red Hat Linux. What will you learn Administer & configure Linux systems. Maintain Linux by handling disk space and taking regular backups. Manage software packages. Perform basic troubleshooting. Maintain a secure Linux system. Describe the organisation and implementation of the filesystem. Red Hat training course details Who will benefit: System administrators. Network administrators. Prerequisites: Linux fundamentals Duration 3 days Red Hat training course contents Managing software Package Concepts, RPM, rpm Commands, Yum, Dependencies and Conflicts, Startup Script Problems, Shared Libraries, Library Management, Managing Processes, the Kernel: The First Process, Process Lists, Foreground & Background Processes, Process Priorities, Killing Processes. Configuring hardware Configuring Firmware and Hardware, IRQs, I/O Addresses, DMA Addresses, Boot Disks, Coldplug and Hotplug Devices, Configuring Expansion Cards and PCI Cards, Kernel Modules, USB Devices, Linux USB Drivers, Configuring Hard Disks, Partitioning Systems, LVM, Common Layouts, Creating Partitions and Filesystems, Maintaining Filesystem Health, Tuning, Journals, Checking Filesystems, Monitoring Disk Use, Mounting and Unmounting Filesystems. Managing files File Management Commands, File Naming and Wildcards, File Archiving, Links, Directory Commands, File Ownership and Group, File access control, Permissions, chmod, Defaults, File Attributes, Disk Quotas, Enabling and setting Quotas, Locating Files, The FHS. Booting Linux and editing files Installing Boot Loaders, GRUB Legacy, GRUB 2, Alternative Boot Loaders, the Boot Process, Boot Messages, Runlevels and the Initialization Process, Runlevel Functions, Runlevel Services, Alternative Boot Systems , Upstart, system. Administering the system Managing Users and Groups, Tuning User and System Environments, Using System Log Files, Understanding syslogd , Setting Logging Options, Manually Logging Data, Rotating Log Files, Reviewing Log File Contents, Maintaining the System Time, Linux Time Concepts, Manually Setting the Time, Using NTP, Running Jobs in the Future, Understanding the Role of cron, Creating System cron Jobs, Creating User cron Jobs, Using anacron, Using at. Configuring basic networking TCP/IP, Network Hardware, Network Addresses, Hostnames, Network Ports, Configuring Linux for a Local Network, Configuring with DHCP, Static IP Address, Configuring Routing, Using GUI Configuration Tools, ifup and ifdown, Diagnosing Network Connections, Testing Connectivity, Tracing a Route, Checking Network Status , Examining Network Traffic, Additional Tools. Securing your systems Administering Network Security, Super Server Restrictions, Disabling Unused Servers, Administering Local Security, Securing Passwords, Limiting root Access, Setting Login, Process, SUID/SGID Files, Configuring SSH, Using GPG, Generating, Importing and Revoking Keys, Encrypting and Decrypting Data, Signing Messages and Verifying Signatures. Clustered File Systems Principles of cluster file systems. Create, maintain and troubleshoot GFS2 file systems in a cluster, create, maintain and troubleshoot OCFS2 file systems in a cluster, Integration of GFS2 and OCFS2 with Pacemaker, the O2CB cluster stack, other commonly used clustered file systems.

GPON and FTTx networks training course description Designed to benefit those requiring an in depth knowledge of the principles and applications of Ten Gigabit and Gigabit Passive Optical Networking and Fibre to the X in NG Networks applications and their associated equipment, its flexibility and function within a modern transmission network. Using an effective mix of 'hands on' equipment instruction and correlation to theory based learning the delegate will gain a complete understanding of the equipment and the tasks to be undertaken in a real life situation. What will you learn Compare PON/FTTx systems. Explain network elements and designs. Support applications and network interfaces. List circuit provisioning and bandwidth requirements. Understand upstream & downstream issues. Describe headend & network elements/OLT-ONT. Perform network testing with OTDR test sets. GPON and FTTx networks training course details Who will benefit: Anyone working with GPON and FTTx. Prerequisites: Introduction to data communications and networking. Duration 5 days GPON and FTTx training course contents FTTN, FTTC, FTTH SMF, MMF, Fibre safety and properties (dispersion/attenuation), Fibre reel cables and types, Fibre installation and air blown fibre, Transmitters and receivers - power budget/laser classes. Fibre to the home (FTTH), FTTC (Fibre to the Cabinet), FTTN (Fibre to the node) , FTTD (Fibre to the desk), FFTH topologies and wavelengths, Active or passive optical network. WDM equipment and GPON OSP design Wavelength considerations, WDM/DWDM/CWDM, EDFA optical amplification, AWG (Arrayed Waveguide Grating) splitters , Couplers (splitters) and losses, Optical splitters 1x2, 1x4, 1x8, 1x16, 1x32, 1x64, 2x64. PON variants Gigabit passive optical network (GPON), Gigabit Ethernet passive optical network (GEPON), Time division PON (TDM-PON), Wave Division Multiplexing PON (WDM-PON), 1Gbps, 10Gbps, 40Ggps, 100Gbps FSAN (Full Service Access Network) NGA (Next Generation Access), Strategies for TDM-PON to WDM-PON migration, Architecture of NG-PON (hybrid WDM/TDM PON), Additional services than triple play. GEPON design GPON OSP centralized and distributed design, GPON PON splitters x4 x8 x32, Fibre splice trays /cassette trays & enclosures, GPON field testing and installation verification, GPON physical layer testing, Optical time domain reflectometer (OTDR), Optical power source & meter, Optical return loss (ORL), APON/BPON/GPON/EPON comparisons. GPON ITU-T G.984.1 Reference model, terminology & architecture, Access network system management functions. ONT & OLT functional block examples. FTTx scenarios, 4 switching arrangements for external access network backup. GPON ITU-T G.984.2 Physical layer, Enhancement band, Bit rate and wavelengths, FEC and RAMAN. GPON ITU-T G.984.3 Frame structure, GPON encapsulation method (GEM), GTC adaptation and framing sublayer protocol stack, Status reporting & traffic monitoring DBA (SR-DBA & TM-DBA), Transmission container (T-CONT) types, Downstream & upstream multiplexing, GEM port identifier, Media access control and ONU registration, Extended bandwidth assignment model scheduling architecture, PLOAM & alarm messages, Downstream & Upstream FEC, Process order in a GTC transmit flow. GPON ITU-T G.984.4 and G.988 ONT management and control interface (OMCI) Management interface, Reference model, Typical ONT with SCTE 55-1 or SCTE 55-2 compliancy. GPON ITU-T G.984.5 enhancement band Band options, GPON NGA, Wavelength allocation. GPON ITU-T G.984.6 optical reach extension (G.984.re) Reach extension (RE), OA-based and OEO-based reach extenders, Protection, Reach extender with OTDR blocking filters (BF) and bypass (BYP) filters. GPON ITU-T G.984.7 long reach Quiet Window. 10-GPON ITU-T G.987.1 (XG-PON) Scenarios, reference access network architecture, XG-PON with G-PON through WDM1r, G-PON and XG-PON wavelength allocation, G-PON and XG-PON co-existence with video overlay option, RE migration scenarios. G.989 40Gbps XG-PON2 Functional reference architecture, NG-PON2 system coexistence with legacy systems, Definitions of legacy compatibility terminology. GPON issues and standards GPON components GPON OLT / GPON ONT, GPON management, Operational support systems (OSS), Network management systems (NMS), OMCI (ONT Management control interface), RG (Residential gateway), Data and prioritised voice channel product, GPON broadband-forum standards, Broadband-forum , TR-069 and TR-156, HPNA (home phone network alliance), Powerline carrier (PLC), GPON DLNI G.hn or G.9960, MOCA, FTTH council certification standard for network certification. Fibre-connected home badge, Ethernet in the first mile (EFM), GPON frame synchronization to network timing, Direct clock synchronization interface (BITS), Multiservice access platform (MSAP), Software planning tool, Superconnected cities / voucher scheme. Hands on practical assignments Single and multimode fibre recognition, Fibre Cleaning methods, Checking cleaning with an optical microscope, Optical light source and optical power meter referencing, PON splitter and fibre drum testing with an optical power meter, 6km classroom passive optical network testing with an OTDR at 1310/1550nm, Using decibels (dB's) and decibel milliwats (dBm's), Designing networks up to 20km long using vendor specifications (power budget), Fault finding with a visible fault locator.

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

This course focuses on empowering managers to foster a culture of ownership, leverage effective delegation practices, and enhance productivity within their teams. Participants will explore strategies and techniques to delegate effectively, promote accountability, and optimise team performance. This course is available to book for delivery in-house for your organisation and people exclusively, for either a half or full days training workshop. Prices are dependent on size of group ranging from a minimum of 4 to a maximum of 12 delegates. If you have a smaller number of delegates the Puritas 1:1 Leadership Coaching Programme is recommended.

About this training course Gas-lift is one of the predominant forms of artificial lift used for lifting liquids from conventional, unconventional, onshore and offshore assets. Gas-lift and its various forms (intermittent lift, gas-assisted plunger lift) allows life of well lift-possibilities when selected and applied properly. This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts. This training course covers main components such as application envelope, relative strengths and weaknesses of gas-lift and its different forms like intermittent lift, gas-assisted plunger lift. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the fundamental theories and procedures related to Gas-Lift operations Easily recognize the different components of the gas-lift system and their basic structural and operational features Be able to design a gas-lift installation Comprehend how digital oilfield tools help address ESP challenges Examine recent advances in real-time approaches to the production monitoring and lift management Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about implications of gas-lift systems for their fields and reservoirs Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Mastering effective feedback is crucial for empowering others but can be damaging if not delivered thoughtfully. This course equips mangers and leaders with tools to deliver sensitive, factual, and specific feedback for positive outcomes. It also guides them in soliciting feedback, processing it constructively, and fostering a growth mindset for continuous improvement. This course is available to book for delivery in-house for your organisation and people exclusively, for either a half or full days training workshop. Prices are dependent on size of group ranging from a minimum of 4 to a maximum of 12 delegates. If you have a smaller number of delegates the Puritas 1:1 Leadership Coaching Programme is recommended.

About this Training Course Gas wells are the most uncertain hence critical component of any gas production system. A successful gas project relies on a reliable forecast of gas well production and on timely implementation of measures that restore, sustain and improve gas well capacity, and maximize reserves. This 5-day course provides the skills to understand and analyze (changes in) gas well performance, and to select and design those remedial measures. It addresses all four gas well components i.e. reservoir performance, inflow performance, outflow performance and surface performance, individually and combined. In depletion-drive reservoirs, the gas well outflow performance becomes inevitably compromised as the reservoir pressure depletes and the gas rate becomes insufficient to lift liquid water and condensate to surface. This condition is referred to as liquid loading and causes significant loss of well capacity and reserves. This 5-day course provides the means to recognize and predict liquid loading, introduces the deliquification techniques that mitigate liquid loading, and then teaches how to select, design, install and operate the optimum suite of deliquification measures. Training Objectives On completion of this course, participants will be able to: Recognize and model gas well reservoir, inflow, outflow and surface performance Understand and model gas well production forecast and reserves Identify and model gas well performance threats and opportunities, specifically liquid loading and deliquification Select and justify remedial measures that mitigate those threats or realize those opportunities, specifically deliquification measures Understand design, installation and operation of those deliquification measures Target Audience This course is intended for production engineer, surveillance engineer, completion engineer, production/process chemist, reservoir engineer, production programmer, production operator, as well as other professionals responsible for selecting, installing, operating, monitoring and optimizing deliquification. Course Level Basic or Foundation Training Methods This course consists of a series of lectures and exercises. The lectures are interactive with field examples to illustrate models and concepts, where participants are encouraged to contribute their own relevant field examples. The exercises make use of a series of Excel worksheets for model calculations. Participants are invited to implement their own field specific well data. When arranged beforehand, PROSPER gas well performance software can be used as well. This course addresses ways and means to monitor and manage gas well performance and deliquification. It covers the purpose, outcome and benefit of gas well surveillance and capacity measures to assist future surveillance and capacity planning. Specifically, it addresses the selection and implementation of deliquification measures. This course introduces the skills and tools required for periodic review of gas well performance in support of critical business processes Trainer Your expert course leader brings with him 38 years of oil and gas field experience largely within Shell of which 25 years as gas well production engineer. He has covered the full spectrum of activities moving from R&D to green field development to brown field surveillance and optimisation, to become a leading gas well performance and deliquification specialist. He likes to capture the complex reality of gas well inflow, outflow and reservoir performance by means of practical data-driven rules and tools that cover a wide range of conditions i.e. shallow-to-deep, prolific-to-tight, dry-to-wet, green-to-brown, 1-1/2'-to-9-5/8' tubing, and depletion-to-aquifer drive. Before his retirement end 2020, He worked for Shell affiliated oil and gas companies including Shell Malaysia, Petroleum Development Oman, NAM Netherlands and Shell R&D in Netherlands and USA. Since then, he has been active as an independent trainer and consultant, amongst others for Cairn India. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Lean Six Sigma Green Belt Certification Program: In-House Training This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps

Laser, Facial and Beauty

About this Training Course There are various kinds of geophysical data available. They are separated into seismic and non-seismic (multi-physics) data. Non-seismic or multi-physics data (which includes gravity, magnetics, electrical, electromagnetics, spectral etc - apart from providing complimentary information to seismic) is the main source of information for very shallow subsurface applications such as engineering, mapping pollution, archaeology, geothermal energy, and related areas. This 5 full-day blended course will focus specifically on seismic data which is the main method used in the Oil & Gas industry. In this blended course, participants will be equipped to understand that seismic data represents the movement of the surface, resulting from waves generated by a source, dynamite or vibrator which are reflected by changes in the subsurface rocks. The basic principles of acquisition and processing will be explained and insights into advanced methods, allowing a much more accurate interpretation of seismic data than previously considered possible, will also be provided. This blended course contains an introduction to Machine Learning and its important role in all aspects of seismic acquisition, processing, and interpretation. There is no need to know in detail how the algorithms work internally but it is necessary to know how to use them correctly to achieve optimum results. Training Objectives By attending this course, participants will be able to acquire the following: Obtain an understanding of the strengths and limitations of geophysical methods, specifically seismic, and the costs and risks involved, and how to reduce these. Be able to communicate more effectively with staff in other disciplines. Understand the potential applications of seismic data and know how to formulate the requirements needed for prospect and field evaluation. Gain an awareness of modern seismic technology. Apply the learning in a series of practical, illustrative exercises. Know what types of questions to ask to assess the necessary quality of a seismic project in its role in a sequence of E&P activities Target Audience The blended course is intended for non-geophysicists who have intensive interaction with geophysicists. But it may be of interest to those who want to know about the recent progress made in geophysics, leading to amazing imaging results, which could not be imagined a decade ago. The blended course will bring to the attention of the geologists, petrophysicists and reservoir/petroleum engineers an awareness of how the data they will work with is acquired and processed by the geophysicist. It will introduce the concepts that are of importance in geophysics and thus relevant for non-geophysicists to know and be able to communicate with geophysicists as well as formulate their requests. Course Level Intermediate Trainer Your expert course leader has degree in Geology (University of Leiden), a Master's degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on 'Full wave theory and the structure of the lower mantle'. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the 'shadow zone' of the core. These observations were then translated into rock properties of the D' transition zone. After his PhD, he joined Shell Research in The Netherlands to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. He subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben. As part of the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments. After his return to The Netherlands, he headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of 'Contractor' software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that period, he was also a part-time professor in Applied Geophysics at the University of Utrecht. From 2001 to 2005, he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, he became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods. After his retirement from Shell, he founded his own company, specialising in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies. In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating 'Artificial Intelligence' in his courses, he also developed a dedicated Machine Learning course for geophysics. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations