308 Courses in Bradford

Participants at this workshop will have the opportunity to develop their knowledge and skills using a coaching style technique and practice these skills in a conducive manner during the session.

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

When used effectively, questioning is a useful teaching and learning strategy. During this workshop we will discuss how questioning can be used effectively to assess, challenge and stretch pupils progress.

Microsoft Project White Belt® 2013: In-House Training This workshop serves as an introduction to the interface and features of Microsoft® Project 2013. This course will be led by an IIL-certified instructor who will outline the benefits of Microsoft Project, provide tips on using various features and common shortcuts, recommend guidelines, and discuss the application of scheduling concepts to manage project work This workshop serves as an introduction to the interface and features of Microsoft® Project 2013. This course will be led by an IIL-certified instructor who will outline the benefits of Microsoft Project, provide tips on using various features and common shortcuts, recommend guidelines, and discuss the application of scheduling concepts to manage project work. What you Will Learn You'll learn how to: Define key scheduling concepts and terms Effectively navigate the user interface and interpret common views Configure essential elements of a new schedule Enter and modify a task list Set dependencies between tasks Create a basic resource list and generate assignments Format targeted areas of the Gantt Chart view Prepare the schedule for printing Getting Started Introductions Course objectives Course outline Navigating the User Interface and Views Navigate and use the Ribbon Use and customize the Quick Access Toolbar Modify general and display options Become familiar with major elements on the Project screen Navigate Gantt Chart, calendar, and network diagram views Search for a help topic Setting up a New Schedule Create new schedules Create a new schedule using existing information Enter and modify the schedule start date Enter and modify exception days in the calendar Entering, Modifying, and Outlining Task Data Enter, edit, correct, and clear information Enter unscheduled tasks Enter duration estimates for a single task or multiple tasks Organize tasks Set up a multi-level outline Add notes to tasks Creating Dependencies by Setting Links Identify a critical path in a simple schedule Understand how scheduling software calculates a critical path Describe dynamic schedules and dependencies Create links using various methods Display the critical path Entering and Assigning Resources Plan for resources Create a list of available resources Assign resources Formatting Gantt Chart View Format text and Gantt Chart bars Format a collection of items Configure print options

Hiring the right staff is one of the most important management and HR skills and it is critical to get it right. This course is designed for managers and HR specialists who either want to improve their interviewing skills or who are just now starting a recruitment role in the organisation.

Management of Value (MoV®) Foundation This interactive MoV® Foundation course provides a modular and case-study-driven approach to learning Management of Value (MoV). The core knowledge is structured and comprehensive; and well-rounded modules cover the methodology and various techniques. A case study is used to help appreciate the relevance of MoV in its practical application. What you will Learn Upon completion of an MoV course candidates should be able to discuss and explain: The main processes and techniques used within MoV and the reasons for using them How MoV may be applied at portfolio, program, project and operational levels The differences in applying MoV at different stages in a project and the expected outputs from a MoV Study at each stage The circumstances under which MoV should be used The concept of value and how value may be improved The main benefits arising from the use of MoV Approaches for implementing MoV How to respond to external and internal influences The principles of embedding MoV into an organization The key topics in document checklists, the toolbox, health check, organizational maturity and individual competence. Upon successful completion of this course, you will be able to: Organize and contribute constructively to a Management of Value (MoV) Study Demonstrate a knowledge of MoV principles, processes, approach and environment Analyse a company, program or project to establish its organizational value; includes identification and weighting of Value Drivers Pass the AXELOS MoV Foundation Examination Introduction to value management and MoV Value and Value Management Capabilities, Outcomes, Benefits and Disbenefits What is Value? What is Management of Value (MoV)? Why use MoV? Where use MoV? When MoV should be used? What using MoV involve? Selected MoV benefits Relationship with other AXELOS Global Best Practices and Models How MoV fits with other AXELOS Global Best Practice Guides MoV principles Align with organization's objectives Focus on functions and required outcomes Balance the variables to maximise value Apply throughout the investment decision Tailor MoV to suit the subject Learn from experience and improve Assign clear roles and responsibilities and build a supportive culture MoV processes Frame the programme or project Gather information Analyse information Process information Evaluate and select Develop Value Improving Proposals Implement and share outputs MoV techniques Function Analysis Function Analysis System Technique (FAST) Traditional (or classic) FAST Technical FAST Customer FAST Value Trees Measuring value Value profiling (a.k.a. value benchmarking) Simple multi-attribute rating technique (a.k.a. SMART) Value index Value metrics Value for money (VfM) ratio Value Engineering / Analysis Common techniques used in MoV Analysis of information Benchmarking Process Mapping Root Cause Analysis Discounted Cash Flow Analysis Generating Ideas Brainstorming Evaluation and option selection Option Selection Matrix Idea selection Allocation to Categories Idea Selection Matrix Weighting techniques Paired Comparisons Points Distribution Developing VIPs Developing Proposals Cost Benefit Analysis Building Decisions Implementing VIPs Implementation Plans Feedback Following up Tracking Benefits Approach to Implementation Generic approach to MoV implementation Plan the MoV activities Understand and articulate value Prioritize value Improve value Quantify value Monitor improvements in value Learn lessons Environmental factors Portfolio Considerations Programme considerations Project considerations Operational Considerations Embedding MoV into an organization Benefits of Embedding MoV into an organization MoV Policy MoV Policy Composition Embedding MoV into an organisation Key steps Suggested MoV Management Structure Overcoming barriers We do it anyway It takes up too much time We can't afford to make the changes What's in it for me? Don't fix it if it ain't broke Fixed returns on investment MoV products Briefing Meeting Agenda (A.1) Communications Checklist (A.2) Equipment list for an Effective Study/Workshop (A.3) Invitation to join the Study Team (A.4) Option Evaluation Matrix (A.5) Plan the Study (A.6) Recording Idea Selection (A.7) Reporting Study outputs (A.8) Scoping the Study (A.9) Study or Workshop Handbook (A.10) Value-Improvement Proposal Forms (A.11) Value Improvement Tracking Report (A.12) MoV toolbox MoV health check and maturity model P3M3 Maturity Model MoV Maturity Model (aligned with P3M3)

A workshop designed specifically for healthcare professionals to meet the standards of the NHS Serious Incident Framework. The day will provide clinical leaders with practical skills to enable them to undertake a root cause analysis and develop an action plan in order to improve quality and safety in their clinical setting.

About this training course Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Understanding of these important production concepts is a must have to exploit the existing assets profitably. 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 basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses Easily recognize the different components from downhole to the surface and their basic structural and operational features Design and analyze different components using appropriate software tools Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization Learn about use cases of Machine learning and artificial intelligence in the artificial lift 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 selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course. 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

SAFe® Agile Software Engineering: In-House Training The introduction of Lean-Agile and DevOps principles and practices into software engineering has sparked new skills and approaches that help organizations deliver higher-quality, software-centric solutions faster and more predictably. This workshop-oriented course explores foundational principles and practices and how continuous flow of value delivery and built-in quality are enabled by XP technical practices, Behavioral-Driven Development (BDD), and Test-Driven Development (TDD). Attendees will learn proven practices to detail, model, design, implement, verify, and validate stories in the SAFe® Continuous Delivery Pipeline, as well as the practices that build quality into code and designs. Attendees will also explore how software engineering fits into the larger solution context and understand their role in collaborating on intentional architecture and DevOps. What you will Learn To perform the role of a SAFe® Agile Software Engineer, you should be able to: Define Agile Software Engineering and the underlying values, principles, and practices Apply the Test-First principle to create alignment between tests and requirements Create shared understanding with Behavior-Driven Development (BDD) Communicate with Agile modeling Design from context for testability Build applications with code and design quality Utilize the test infrastructure for automated testing Collaborate on intentional architecture and emergent design Apply Lean-Agile principles to optimize the flow of value Create an Agile Software Engineering plan Introduction to Agile Software Engineering Connecting Principles and Practices to Built-in Quality Accelerating Flow Applying Intentional Architecture Thinking Test-First Discovering Story Details Creating a Shared Understanding with Behavior-Driven Development (BDD) Communicating with Models Building Systems with Code Quality Building Systems with Design Quality Implementing with Quality

A study day designed for HCAs who are working in a supportive role in primary care, offering care for patients with asthma. This day provides an overview of how asthma is diagnosed and managed and includes a practical inhaler delivery systems workshop.