804 Courses in Cardiff delivered Live Online

The Preliminary Electronic Security Course is an introductory (or revision) course designed to provide participants who have no previous Electrical or Electronics experience with the background skills required to attend the CCTV Installation Course, Access Control Course or Fire Alarm Foundation Course. The course gives both an introduction to electronics and electronic security and shows how the two fields merge together. Ideal for a beginner wishing to learn more about this fascinating area. A large practical content is guaranteed. The day will be an excellent learning experience with a skilled instructor. It is a great introduction to the other courses we provide.

This Digital Electronics Course is designed to give practical knowledge of the type of electronic circuitry used in a modern Computer System or in any type of Computer Controlled equipment such as Photocopiers, Cash Registers, Tablets, mobile phones and many other types of IT equipment. Digital Electronics involves the use of Silicon chips (Integrated Circuits). The internal structure of a computer is to a large extent comprised of Digital Electronic Circuits.

About this training course This 5-days comprehensive training not only an introduction into the issue associated with the development of oil and gas fields but also provides an in depth understanding of the issues to be considered in the development of these fields. The theme throughout this training course is Flow Assurance and Innovative Technologies. Each day consists of lectures in the morning and a hands-on workshop in the afternoon. The workshop allows the participants to appreciate the design process associated with field developments. Various software will be available during the workshop to predict Multiphase flows through wells, pipelines and risers, as well as evaluating reservoir production profiles using alternative technologies to develop reservoirs. Further software to assess Surge and environmental safety will also be available. The field design approach will consider an integrated solution through modelling the reservoir decline, wells, flowlines, risers and the host facility. The participants will have a total appreciation of the methodology required to develop offshore oil and gas fields and have an understanding of all of the Flow Assurance issues and technology requirements. Training Objectives After the completion of this training course, participants will be able to: Understand the process required and identify data to analyse Flow Assurance for oil and gas fields. Examine and Identify the Flow Assurance issues required to be evaluated for oil and gas fields design. These include; Wax, Hydrates, Slugging, Corrosion, Sand Erosion, Scaling and Surge. Establish the studies to be undertaken for each area of Flow Assurance including 'Rules of Thumb' and software to be used. Prioritize the need for innovative methods and the technologies to solve Flow Assurance issues and the need for economics considerations. Appreciate the need for an integrated analysis of the oil and fields from the reservoir to the host processing facility. Gain an appreciation of the emerging and enabling technologies for offshore fields application. Dive deeper into the operational strategies requirements to mitigate Flow Assurance issues. Target Audience This training course is suitable and will greatly benefit the following specific groups: Reservoir Engineers Flow Assurance Engineers Thermodynamics Engineers Process and Chemical Engineers Pipeline Engineers Facilities Engineers Control and Subsea Engineers working in the Oil and Gas industries Engineers in other disciplines may attend that require an appreciation of Flow Assurance Course Level Intermediate 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 Course delivery: This course is limited to a maximum of 20 participants only. A basic understanding of thermo-hydraulics would be advantageous. Morning Lectures and afternoon hands-on practical workshop. Special features: PC-based simulation software demonstration Workshop for hands-on training Course References & Additional resources: 'Flow Assurance for Oil and Gas Fields Production Transport', 1st Edition Handouts Pre & Post Assessment Trainer Your expert course leader is a renowned specialist in flow assurance management for the oil & gas field developments. His expertise enables him to support the operating and contracting companies as well as financial institutions regarding due diligence on offshore development investment decisions and associated operational system risks. Technical assessment of fields for acquisition and production enhancement opportunity. He possesses specialist expertise in evaluating difficult pipeline fluids transport such as Ethylene, Carbon Dioxide and Hydrogen through feasibility studies and technical reviews for clients. He has an exceptional academic background and natural leadership abilities are supported by practical experience of diverse projects worldwide, along with numerous publications at key conferences and publication of four books. Particular interests in developing novel and innovative technologies for subsea applications to solve difficult flow assurance problem areas and improve field development economics. He has worked on major industry projects including; Concorde aircraft fuelling system, the Channel Tunnel aerodynamics and the first deep water oil field development (Foinaven) in the West of Shetland. He is also currently developing a renewable energy solar farm and carbon neutral energy crop (Miscanthus) for domestic and commercial power generation application. He has developed in-house resources including specialist oil & gas field development evaluation software for subsea and onshore field infrastructure development options including; costing and financial analysis, reservoir viability, flow assurance assessment, subsea processing and boosting technologies, flow induced vibrations, surge analysis, heat transfer and chemical injection systems.

Who is this course for? Sketchup Artificial Intelligence Training Course. Mastering SketchUp Artificial Intelligence (AI) is essential for designers, offering automation, efficiency, and innovative solutions. It saves time, enhances visualizations, fosters collaboration, and future-proofs skills, ensuring a competitive edge in the design industry. Click here for more info: Website How to Book? 1-on-1 training. Customize your schedule from Mon to Sat from 9 am to 7 pm Call to book  Duration: 16 hours. Method: In-person or Live Online Sketchup and (Artificial Intelligence) Stable Diffusion Rendering Course (16 hours) Module 1: Sketchup Fundamentals (2 hours) Sketchup software overview and interface navigation Introduction to basic drawing tools and fundamental geometry creation techniques Module 2: Texturing and Material Mastery (2 hours) Application of textures and customization of materials Exploration of texture mapping and comprehensive material libraries Module 3: Illumination and Shadows (2 hours) Comprehending lighting principles and strategic light placement Crafting realistic shadows and reflections Module 4: Advanced Modeling Techniques (3 hours) Creating intricate shapes and harnessing advanced modeling tools Efficiently managing groups, components, and modifiers Module 5: Stable Diffusion Rendering (2 hours) Initiating stable diffusion rendering Optimizing rendering settings for superior outcomes Module 6: Scene Composition and Camera Configuration (2 hours) Exploring composition principles and camera perspectives Scene management and creation of captivating walkthrough animations Module 7: Rendering Optimization Strategies (2 hours) Techniques for optimizing models to expedite rendering Application of render passes and post-processing methods Module 8: Real-World Projects and Portfolio Building (1 hour) Application of acquired skills in completing authentic projects Professional portfolio presentation techniques Optional: Stable Diffusion and Python Installation (Additional 10 hours) Module 1: Introduction to Stable Diffusion and Python Comprehensive understanding of Stable Diffusion and Python's significance Module 2: System Prerequisites Hardware and software requirements for successful installation Module 3: Python Installation Guide Step-by-step installation process for various operating systems Module 4: Configuring Python Environment Configuration of environment variables and package managers Module 5: Stable Diffusion Installation Downloading and installing the Stable Diffusion package Module 6: Setting Up the Development Environment Configuration of integrated development environments (IDEs) for Python and Stable Diffusion Module 7: Troubleshooting and Common Issues Identification and resolution of common installation errors Module 8: Best Practices and Recommendations Effective management of Python and Stable Diffusion installations Module 9: Practical Applications and Projects Hands-on exercises exemplifying the practical usage of Stable Diffusion and Python Module 10: Advanced Topics (Optional) Exploration of advanced features and techniques Stable Diffusion https://stablediffusionweb.com https://stable-diffusion-ui.github.io https://stability.ai/stable-diffusion Upon successful completion of the Sketchup and Stable Diffusion Rendering Course with a focus on AI image rendering, participants will achieve the following: 1. Mastery of AI Image Rendering: Attain expertise in employing AI-powered rendering techniques to produce realistic and top-quality visualizations. 2. Proficiency in Sketchup for 3D Modeling: Navigate the software adeptly, utilize drawing tools with proficiency, and craft intricate 3D models. 3. Enhanced Rendering Optimization: Implement AI-based rendering to enhance model visuals, resulting in faster rendering times and superior image quality. 4. Application of AI-driven Lighting and Shadows: Employ AI algorithms for precise lighting placement, shadows, and reflections, elevating the realism of renderings. 5. Development of a Professional Portfolio: Present AI-rendered projects within a polished professional portfolio, highlighting advanced image rendering capabilities. 1. Mastering Sketchup: Attain proficiency in Sketchup, a renowned and user-friendly 3D modeling software, equipping you with the skills needed to adeptly create and manipulate 3D models. 2. Advanced Rendering Expertise: Explore stable diffusion rendering, an avant-garde technique that simplifies the creation of realistic and high-quality renderings. Broaden your rendering capabilities, producing visually stunning representations of your designs. 3. Practical Industry Applications: Cultivate practical skills relevant to diverse industries, encompassing architecture, interior design, product development, and visualization. Elevate your professional portfolio with captivating renderings that showcase your design prowess. 4. Interactive Learning: Participate in hands-on exercises and projects that promote active learning and the practical application of concepts. Benefit from personalized feedback and expert guidance, ensuring your continuous progress throughout the course. 5. Career Advancement: Elevate your career prospects by adding valuable skills to your toolkit. Proficiency in crafting detailed 3D models and impressive renderings through stable diffusion techniques opens doors to diverse job opportunities within the design and visualization sector. 6. Flexibility and Convenience: Access course materials online and learn at your own pace. Enjoy the flexibility of tailoring the coursework to your schedule, allowing you to harmonize your learning journey with other commitments. Course Advantages: Tailored Learning: Enjoy personalized 1-on-1 sessions, accommodating your schedule from Monday to Saturday, 9 am to 7 pm. Mastery of Sketchup: Develop proficiency in the widely-used and user-friendly 3D modeling software, enabling efficient creation and manipulation of 3D models. Advanced Rendering Proficiency: Acquire expertise in stable diffusion rendering for producing realistic, high-quality renderings that enhance the visual appeal of your designs. Practical Applicability: Develop practical skills applicable across diverse domains, including architecture, interior design, product development, and visualization, enriching your professional portfolio. Interactive Practical Experience: Engage in hands-on exercises with personalized guidance from seasoned instructors, ensuring consistent progress in your skillset. Career Progression: Boost your career opportunities by gaining valuable skills in 3D modeling and generating impressive renderings through stable diffusion techniques. Comprehensive Support: Benefit from free portfolio reviews, mock interviews, and career advice, providing additional resources to enhance your professional journey.

This foundational course introduces the key concepts behind experience thinking and user experience design. It's a great place to start your learning journey!

The Fire Alarm Foundation course is designed to give participants a practical knowledge of the operation and installation of Fire Alarm Systems at a foundation level. During this practical and theory-based course students will gain the skills and knowledge to install and wire up a Fire Alarm Control Panel to typical auxiliary equipment such as Break Glass Units, Smoke Detectors, Heat Detectors, Bells, and Sirens.

Duration 1 Days 6 CPD hours Time management training most often begins with setting goals. These goals are recorded and may be broken down into a project, an action plan, or a simple task list. Activities are then rated based on urgency and importance, priorities assigned, and deadlines set. This process results in a plan with a task list or calendar of activities. Routine and recurring tasks are often given less focus to free time to work on tasks that contribute to important goals. This entire process is supported by a skill set that should include personal motivation, delegation skills, organization tools, and crisis management. 1 - Getting Started Icebreaker Housekeeping Items The Parking Lot Workshop Objectives 2 - Setting SMART Goals The Three P?s The SMART Way Prioritizing Your Goals Visualization 3 - Prioritizing Your Time The 80/20 Rule The Urgent/Important Matrix Being Assertive 4 - Planning Wisely Creating Your Productivity Journal Maximizing the Power of Your Productivity Journal The Glass Jar: Rocks, Pebbles, Sand, and Water Chunk, Block, and Tackle Ready, Fire, Aim! 5 - Tackling Procrastination Why We Procrastinate Nine Ways to Overcome Procrastination Eat That Frog! 6 - Crisis Management When the Storm Hits Creating a Plan Executing the Plan Lessons Learned 7 - Organizing Your Workspace De-Clutter Managing Workflow Dealing with E-mail Using Calendars 8 - Delegating Made Easy When to Delegate To Whom Should You Delegate? How Should You Delegate? Keeping Control The Importance of Full Acceptance 9 - Setting a Ritual What is a Ritual? Ritualizing Sleep, Meals, and Exercise Example Rituals Using Rituals to Maximize Time 10 - Meeting Management Deciding if a Meeting is Necessary Using the PAT Approach Building the Agenda Keeping Things on Track Making Sure the Meeting Was Worthwhile 11 - Alternatives to Meetings Instant Messaging and Chat Rooms Teleconferencing E-mail Lists and Online Groups Collaboration Applications 12 - Wrapping Up Words from the Wise Review of Parking Lot Lessons Learned Completion of Action Plans and Evaluations Additional course details: Nexus Humans Time Management training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Time Management course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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

About this Virtual Instructor Led Training (VILT)  Electrification of the transportation sector will impact the power system in several ways. Besides the additional load, local impact on the grid needs to be managed by the grid operators. Simultaneously charging of many electric vehicles (EVs) might exceed the limits in specific locations. On the other hand, EVs can provide flexibility and other ancillary services that will help grid operators. This 3 half-day VILT course will provide a complete overview of integrating electric vehicles (EVs) into the power grid. It will cover the whole value chain from grid operations to the car battery. This includes the control room, possible grid reinforcement, demand side management and power electronics. This course will demonstrate the impact on the grid and solutions for a safe & cost-effective grid plan and operation, with examples of successful integration of EVs. The course will also provide vital knowledge about technology used for EVs such as power electronics, demand side management, communication and batteries. In this context, the focus will be on power electronics as it has the highest impact on the grid. The grid planning tool, pandapower, is introduced as an open source tool for power system modelling. The set-up of the training course allows for discussion and questions. Questions can be formulated by the participants upfront or during the training. This course is delivered in partnership with Fraunhofer IEE. Training Objectives At the end of this course, the participants will: Understand the charging options for EVs and its impact on the grid and batteries Identify system services for EVs with regards to voltage quality at the point of common coupling Discover what are the 'grid friendly' and grid supporting functions in EVs Uncover the different applications, standards and data researched on EVs Examine the application of a grid planning tool (pandapower) for power system modelling Be able to develop code snippets with pandapower Apply and execute a code example for power system modelling with pandapower Target Audience EV and grid project developers and administrators Power grid operators and planners EPC organisations involved in grid development EV/ battery manufacturers and designers EV transport planners and designers Government regulators and policy makers Training Methods The VILT will be delivered online in 3 half-day sessions comprising 4 hours per day, with 2 x 10 minutes breaks per day, including time for lectures, discussion, quizzes and short interactive exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10 mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end of every session/day. Trainer Our first course expert is Head of Department Converters and Electrical Drive Systems at Fraunhofer IEE and Professor for Electromobility and Electrical Infrastructure at Bonn-Rhein-Sieg University of Applied Sciences. He received his engineering degree in automation in 2008 by the THM Technische Hochschule Mittelhessen (FH Giessen-Friedberg). Afterwards he studied power engineering at University of Kassel and received his diploma certificate in 2010. In 2016 he received the Ph.D. (Dr.-Ing.) from the University of Hannover. The title of his dissertation is Optimized multifunctional bi-directional charger for electric vehicles. He has been a researcher at the Fraunhofer IEE in Kassel since 2010 and deals with power converters for electric vehicles, photovoltaics and wind energy. His current research interests include the bidirectional inductive power transfer, battery charger and inverter as well as new power electronic components such as SiC MOSFETs and chokes. Additionally, our key expert is Chairman of the IEEE Joint IAS/PELS/IES German Chapter and a member of the International Scientific Committee of the EPE Association. Our second course expert is deputy head of energy storage department at Fraunhofer IEE. Prior to this he was the Director of Grid Integration department at SMA Solar Technology AG, one of the world's largest manufacturers of PV power converters. Before joining SMA, our course expert was manager of the Front Office System Planning at Amprion GmbH (formerly RWE TSO), one of the four German transmission system operators. He holds a degree of electrical engineering of the University of Kassel, Germany. In 2003 he finished his Ph.D. (Dr.-Ing.) on the topic of wind power forecasting at the 'Institute of Solar Energy Supply Technology' (now Fraunhofer IEE) in Kassel. In 2004 he started his career at RWE TSO with main focus on wind power integration and congestion management. Our course expert is chairman of the IEC SC 8A 'Grid Integration of Large-capacity Renewable Energy (RE) Generation' and has published several papers about grid integration of renewable energy source and forecasting systems on books, magazines, international conferences and workshops. Our third course expert is Research Associate at Fraunhofer IEE. He is actively working on different projects related to the integration of electric vehicle charging into the electric distribution grid. The focus of this work concerns time series based simulations for grid planning and operation in order to investigate the effect of a future rollout of electric vehicles and charging infrastructure on economics e.g. costs for grid reinforcement. He completed his master degree (MSc.) in Business Administration and Engineering: Electrical Power Engineering at RWTH Aachen University, Germany. Our trainers are experts from Fraunhofer Institute for Energy Economics and Energy System Technology (Fraunhofer, IEE), Germany. The Fraunhofer IEE researches for the national and international transformation of energy supply systems POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

The purpose of this course is to describe the principles and procedures of Hazard and Operability (HAZOP) Studies. HAZOP is a structured and systematic technique for examining a defined system, with the objective of: Identifying potential hazards in the system. The hazards involved may include both those essentially relevant only to the immediate area of the system and those with a much wider sphere of influence, e.g. some environmental hazards; Identifying potential operability problems with the system and in particular identifying causes of operational disturbances and production deviations likely to lead to nonconforming products. An important benefit of HAZOP studies is that the resulting knowledge, obtained by identifying potential hazards and operability problems in a structured and systematic manner, is of great assistance in determining appropriate remedial measures. The course is designed using the tools and techniques identified by IEC 61882:2016. LEARNING OUTCOMES By the end of this course you will understand how to: prepare for a HAZOP study meeting and programme – including defining the scope of the study and choosing the team choose nodes (parts of the drawings or operation for HAZOP study) estimate the programme requirements for the successful completion of a study use facilitation techniques to motivate the team and keep them on task avoid common problems encountered during study meetings, including challenging behaviours formulate the HAZOP study report fulfil the team leader’s role in implementing recommendations and managing the process FOR WHOM Anyone with experience of the HAZOP technique who is required to lead HAZOP studies Process safety engineers, loss prevention specialists, production engineers, process design engineers, project engineers, process programmers and instrument control engineers Risk Managers COURSE CONTENT Introduction to HAZOPWhat is a HAZOP?What are Hazards and Risk?Limitations of HAZOPsEssential Features of HAZOP Principles of examination Design representation Design requirements and design intent Applications of HAZOP Relation to other analysis toolsFailure Mode Effect AnalysisAs Low As Reasonably Practicable (ALARP)Fail Tree AnalysisEvent Tree Analysis HAZOP study limitations Risk identification studies during different system life cycle stagesConcept stageDevelopment stageRealization stageUtilization stageEnhancement stageRetirement stage The HAZOP study procedure Initiate the study Define scope and objectives Define roles and responsibilities Preparation Plan the study Collect data and documentation Establish guide words and deviations Examination Structure the examination Guidewords and Deviations Causes, Consequences and Safeguards Perform the examination Risk Ranking Documentation and follow up Establish method of recording Output of the study Record information Sign off the documentation Follow-up and responsibilities Case Study and practical application TRAINING METHODOLOGIES Presentation Case Study Individual Exercises Group Exercises DURATION: 4 Days (Examination on day 4)