1079 FA courses in Sheffield

About this Training Course Wind has surpassed hydro-power generation in many countries recently. Wind energy offers many advantages, which explains why it's one of the fastest-growing energy sources in the world. The following are the advantages of wind power: Wind power is cost effective: Land-based utility-scale wind is one of the lowest-priced energy sources available today The fuel for wind power is free. This reduces the operation and maintenance cost of wind power plants significantly Wind is a clean source of power generation that does not pollute the air like power plants which rely on combustion of fossil fuel Wind power plants create jobs. Wind turbine technician is the fastest growing career in many countries Wind enables industry growth and competitiveness due to its low cost Wind power is a domestic source of energy. The wind supply is abundant and inexhaustible. The wind power generation capacity has become the largest source of renewable power in many countries Wind turbines can be built on existing farms and ranches. This greatly benefits the economy in rural areas, where most of the best wind sites are found. Wind power plant owners make rent payments to the farmers or ranchers for the use of their land, providing landowners with additional income This 5 half-day course covers all aspects of wind power plants including evaluation of a potential location for a wind power plant using wind data and using statistical distributions to approximate available wind energy at a wind power plant site. It provides also an in-depth understanding of all wind power plant equipment including wind turbines, generators, instrumentation and control systems, drive trains, gearboxes, doubly fed induction generators, synchronous generators, nacelles, towers, transformers, etc. The economics of a wind power plant including economic analysis of wind power generation, economic comparison between a large- and small-scale wind power plant, economic decision making, rate of return from a wind power plant, economic life and replacement of a wind power plant as well as the cost of electricity from wind power plants are covered in detail in this course. A thorough explanation of the design, operation and maintenance of on-shore and off-shore wind farms is presented in detail in this course as well as all the significant improvements that have been made to wind power generating plants during the last two decades. Training Objectives Evaluation of a Potential Location for a Wind Power Plant Using Wind Data: Learn how to evaluate the potential location for a wind turbine power plant using wind data. Using Statistical 'Rayleigh' Distribution to Approximate Available Power Generation from a Wind Turbine at a Specific Site: Learn how to use statistical 'Rayleigh' distribution to approximate available power generation from a wind turbine at a specific site. Calculate the Wind Energy Available at a Site: Gain an understanding on how to calculate the wind energy available at a site. Rated Capacity of a Wind Facility and Capacity Factor: Understand how to determine the rated capacity of a wind facility and its capacity factor. Designing a Wind Power Generating Plant: Learn how to design a wind power generating plant. Wind Power Plant Equipment Operation and Maintenance: Understand the operation and maintenance requirements for all wind power plant equipment including wind turbines, generators, nacelles, towers, transformers, etc. Wind Power Plant Instrumentation and Control Systems: Gain a thorough understanding about the latest instrumentation and control systems of wind power plants. Economics of Wind Power Plants: Gain a thorough understanding of the economics of wind power plants including economic analysis of wind power generation, economic comparison between a large- and small-scale wind power plant, comparison of alternatives, rate of return from a wind power plant, financial statements for a wind power plant, cost of electricity from a wind power plant, and levelized cost of wind energy.   Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Training Methods Your specialist course leader relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all 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 to their own organization. Each delegate will receive a soft copy of the following materials written by the instructor: POWER GENERATION HANDBOOK' second edition, published by McGraw-Hill in 2012 (800 pages) Wind Power Generating Plant Manual (500 pages) 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

Facilitation Skills Training

Overview To achieve maximum effectiveness, managers and professionals must continually expand their business knowledge and sharpen their skills. This program is designed to achieve this goal in a time-efficient manner. Integration of Downstream Refining and Petrochemicals to achieve greater efficiencies is yet another critical factor in this business which will be covered in this course

Overview Having a detailed understanding of financial statements is critical to assessing financial risk, and the rate of change in financial statement standards makes this a continuing challenge for users. This course brings together the key elements of financial statement analysis to help participants develop their skills in this area and enable them to ask the right questions to really get under the skin and see the real risks facing businesses and investors in these challenging times. The reference reporting framework used will be IFS. 

Overview Many hospitals and clinics will use a smile, “customer service” and good intentions to hide the fact they have poor or no training in service and professional staff about the different care that medical tourists or expat local patients need. At the heart of appropriate care for medical travellers is a need for institutional awareness of the unique differences between local patients and medical tourists. Having a better understanding of what medical tourists, their care managers and home-based doctors expect from the receiving hospital or clinic at the medical destination will lead to a better quality of patient care for medical travellers.

Overview An ineffective audit can mean severe consequences; resulting in process failure, customer dissatisfaction and regulatory noncompliance. Optimize your generic auditing skills with this Internal Auditing training course not aimed at any specific ISO management systems standard or Process. Boost your internal audit capabilities by gaining confidence in planning and performing an effective audit and reporting and taking corrective action where necessary. This course develops the necessary skills to assess and report on the conformance and implementation of processes based on management systems. You'll learn how to initiate an audit, prepare and conduct audit activities, compile and distribute audit reports and complete follow-up activities

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

Overview This project is intended for managers to know a way to prepare and arrange comes, and meet the deadlines the side of dominant their budget. it'll facilitate in saving time and cash for the delegates through increased schedules, improved plans and communications. This project is intended for managers to know a way to prepare and arrange comes, and meet the deadlines the side of dominant their budget. it'll facilitate saving time and cash for the delegates through increased schedules, improved plans and communications. This course may be quick paced comes that's designed to fulfil the fast wants of the managers. It includes the fundamental principles and terms of Project Management with a straightforward set of tools and self-check tools. These tools facilitate managers to arrange their projects exactly.

Join a Climate Fresk Climate science workshop to learn about the causes and effects of climate change through a fun and collaborative experience.

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