580 Other courses in Manchester

OVERVIEW -------------------------------------------------------------------------------- This is particularly important for PPP projects where long-term commitments are made now based on bankability, value for money and risk allocation. During the course, participants will gain knowledge and skills on the frameworks, tools, and methodologies necessary to build quantitative models for financial decision-making in order to improve the financial viability and bankability of PPP projects. Participants will master modelling frameworks on capital budgeting, risk measurement, regression analysis and Monte Carlo Simulation among others.

OVERVIEW -------------------------------------------------------------------------------- The protocol is one of the most modern terms in terms of language but very old in terms of history as the word protocol is a development of the word of the conventions and understandings this is in the world of politics and at the international level, but within the field of business management has become the formulation of protocols is one of the important and necessary skills and very necessary for people who wish to They must take administrative duties. Through this course, we are going to introduce the rules and practices of gentle behaviour, the best practices for communication with others, and good reception, since all such related matters represent a large portion of our personality.

OVERVIEW -------------------------------------------------------------------------------- Business modelling requires analysts to produce the quantitative models that top management uses to support their decision-making, but top management must also understand the strengths and weaknesses of the models if they are to use them effectively to support their decisions and robustly navigate the strategic negotiation landscape. This is particularly important for PPP projects where long-term commitments are made now based on bankability, value for money and risk allocation. During the course, participants will gain knowledge and skills on the frameworks, tools, and methodologies necessary to build quantitative models for financial decision-making in order to improve the financial viability and bankability of PPP projects. Participants will master modelling frameworks on capital budgeting, risk measurement, regression analysis and Monte Carlo Simulation among others.

ADVANCED PYTHON TRAINING COURSE DESCRIPTION This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. WHAT WILL YOU LEARN * Write Python modules and functions. * Evaluate techniques to parse unstructured data. * Use NETCONF filters. * Handle Python errors effectively (try, assert…). * Use postman. * Automate testing and validation of the network. * Use scrapli, Genie, batfish and Suzieq. ADVANCED PYTHON TRAINING COURSE DETAILS * Who will benefit: Network engineers. * Prerequisites: Python for network engineers * Duration 5 days ADVANCED PYTHON TRAINING COURSE CONTENTS * Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. * Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. * Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. * Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. * Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. * Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. * Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. * Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. * Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. * Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. * Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.

This half-day course provides an introduction to promote mental health awareness in the workplace for all employees. Group activities are designed to encourage and empower individuals to prioritise their mental wellbeing and recognise signs of mental ill health in both themselves and others. The session emphasises the importance of mental wellbeing conversations, self-care and how to access further support.

The course is designed to help improve your understanding of the legal requirements, the theoretical and practical principles for both the initial verification and certification of an electrical installation, further your knowledge and practical skills in the testing and inspection of a range of existing electrical installations, and help improve your understanding of the legal requirements, the theoretical and practical principles for the periodic inspect and testing and certification of an electrical installation.

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

ABOUT THIS TRAINING COURSE  This five-day course provides an intermediate level of understanding of the geomechanical factors that affect wellbore instability, sand production and hydraulic fracture design.  The course is structured such that upon completion, participants will have understood the value that geomechanics can bring to drilling, completion and production operations and will be able to leverage this value wherever it applies.  The course emphasis will be on integrating the topics presented through a combination of lectures, case-studies and hands-on exercises. A special focus will be on how geomechanics knowledge is extracted from routinely acquired well data and how it is applied in the prediction and prevention of formation instability. Course Highlights The course is essentially non-mathematical and makes wide use of diagrams, pictures and exercises to illustrate the essential concepts of geomechanics * Essential Rock Mechanics Principles * Wellbore Stability Analysis * Anisotropic Rock Properties for unconventional projects * Lost Circulation and Wellbore Strengthening applications * Sand Production Management * Input to Hydraulic Fracture design * Salt instability Training Objectives By attending this training, you will be able to acquire the following: * Apply the basic concepts of geomechanics to identify, predict and mitigate against formation instability during drilling, completion and production Target Audience This course is intended for Drilling Engineers, Well Engineers, Production Technologists, Completion Engineers, Well Superintendents, Directional Drillers, Wellsite Supervisors and others, who wish to further their understanding of rock mechanics and its application to drilling and completion. There is no specific formal pre-requisite for this course.  However, attendees are requested to have been exposed to drilling, completions and production operations in their positions and to have a recommended minimum of 3 years of field experience. Trainer Your Expert Course Instructor is an operational geomechanics advisor with over 46 years of experience in exploration, development and production in the upstream oil and gas industry.  After obtaining a BSc (Hons) Physics degree from Aberdeen University, he worked for a variety of oil service companies in wireline operations, management and formation evaluation, before joining Schlumberger in 1995.  Since 2000 he has worked principally in real-time geomechanics operations and developing acousto-geomechical applications, taking on the role of geomechanics advisor and technical manager within the Europe-Africa area of operations.  Before forming his own company in 2014, Your Expert Course Instructor was one of Schlumberger's principal instructors, delivering cross-discipline internal and external geomechanics training to petrophysicists, geologists, reservoir, petroleum, well construction and drilling engineers at operating company locations, training centers and operational centers worldwide.  Through extensive operational and wellsite experience gained in the North Sea, Europe, Africa, South America and the Far East, he has gained a broad based knowledge of drilling, production, log data acquisition, analysis and interpretation that has allowed him to develop and deliver pragmatic solutions to the geomechanical challenges of drilling, sand production, fracturing and unconventional reservoirs, faced by operators. His principal interests include the development and application of acousto-geomechanical techniques for the evaluation of anisotropic formations and fracture systems and the identification and prevention of wellbore instability POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

ABOUT THIS TRAINING COURSE 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

The NVQ Level 3 NVQ Diploma in Occupational Work Supervision is appropriate for individuals who supervise others in a construction area and are looking to become eligible for the Gold CSCS Card. The qualification modules will be discussed and agreed upon with each individual candidate to ensure that the qualification will be suited to your job role. Each candidate will be allocated a designated and qualified assessor to provide support throughout the qualification and provide information, advice and guidance to candidates in order that they can achieve the qualification. If you require further information or are looking to undertake this qualification, please contact us. CSCS Cards Candidates can undertake the CSCS test and obtain the red (Provisional) CSCS card on signing up for various qualifications. The red card can usually be obtained within 7 to 14 days and can be used to access the construction sites for a period of 12 months. On completion of the qualification candidates can upgrade or renew their CSCS Card to the full 5 year card.