152 Simulation courses delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for Executives, Project Managers, Business Analysts, Business and IT stakeholders working with analysts, Quality and process engineers, technicians, managers; supervisors, team leaders, and process operators; anyone who wants to improve their Business Analysis skills. Overview After completing this course, students will know how to: Plan, manage and close requirements for software development project in reduced time using Agile Scrum practices Minimize project uncertainty and risk by applying Agile principles through the Scrum method Ensure your project delivers required functionality and adds value to the business Create an environment of self-management for your software development team that will be able to continuously align the delivered software with desired business needs, easily adapting to changing requirements throughout the process. Learn how to apply Agile Scrum by measuring and evaluating status based on the undeniable truth of working, testing software, creating a more accurate visibility into the actual progress of projects. Many of today?s Project Management and Business Analyst Professionals are finding themselves leading, managing and analyzing on Agile development teams - only to find that many of the tools and techniques applied when using a traditional project management approach no longer work as effectively or at all. In order to do more than survive in this iterative development environment, today?s Project Manager and Business Analyst must employ additional project management and business analysis tools and techniques to effectively lead their teams and deliver their projects. Introduction - Fundamentals of Agile Why Agile? Exercise 1a: Waterfall-Lean-Agile Simulation History & Mindset: Understand how the agile approach arose. The Agile Lifecycle Introducing Agile to the organization Roles and Responsibilities on an Agile project team. Understand the purpose, the concepts, the theory, and some applications around the importance of people as individuals providing value through working in teams. Establishing core hours - How will the team work during a day? How to build end-to-end systems in early iterations Exercise 1b: How to build end-to-end systems in early iterations Planning and Managing Business Analysis Communication and Performance Agile and CMMI Exercise 1c: Case Study Project Assembling the team ? Scrum Roles Value-Driven Development: Understand why agile development focuses so heavily on working products, its more general casting as 'value-driven' development, with incremental, iterative and risk-driven approaches. Themes, theory and applications. Exercise 2a: Identify the ?Product Owner? Identify Project Success Criteria Exercise 2b: Review the Scrum Cheat Sheet Establish your Agile team using RACI Exercise 2c: Build the Scrum Team Define the Product and Project Vision Envision the Product and Project outcomes Exercise 3a: Review Agile Checklist Project Chartering (Project Planning) Assemble the Agile project team ? what are their responsibilities? Compile the Product Backlog (Coarse-Grain Requirements) Discuss how to Plan Sprints and Releases Exercise 3b: Product Vision ? Goals and Strategies Establish the Project ?time-box? Exercise 3c: Create a Release Plan Embrace the High-Level (Coarse-Grain) Plan Managing different types of Personas on an Agile Project Identifying and managing ?Information Radiators? Planning in Agile Projects ? Common practices that work Determine how the team will tracking and monitoring activities Exercise 3c: Establish the Project Time-box Tools and Techniques ? Building the Scrum Task board Communications Exercise 4a: Discussion ? Tools and Techniques for Scrum Planning, Monitoring and Adapting Scrum Task Board Exercise 4c: Create a Scrum Task board ? Identify work streams Agile Estimating Agile Analysis and Design Burndown Chart Team Velocity Soft Skills Negotiation Estimating ad Prioritizing Effort Planning Releases. Understand the value, the concepts, the theory and some applications for learning and adapting at all levels and on all topics (the product, the process, the team, and the organization). Exercise 5a: Brainstorm Business Functionality Establishing decision and acceptance criteria for user stories Planning Poker Exercise 5b: Estimate Effort (Coarse-Grain) Prioritize themes and releases Prioritize user stories Exercise 5c: Confirm the Estimated Effort (Fine Grain) Estimating team velocity Preparing for change ? Is the organization ready? Exercise 5d: Hold a daily Scrum and update the Scrum Task Board Exercise 5e: Conduct a Scrum or Scrums Plan the Iteration (Sprint) Sprint Zero activities Elements of a successful Sprint Planning meeting Create a Sprint Backlog How to create a task board Exercise 6a: Using the case study ? Review Iteration Planning Checklist Create a Sprint plan ? Establishing Sprint success metrics Exercise 6b: Discussion Sprint ?Zero? Activities Define the vision and Iteration Requirements Estimating the level of effort (LOE) with the team Creating user Stories for the Product Backlog -Guidelines to consider The art of slicing user stories Exercise 6c: Review the Sprint Plan Managing the Solution Scope and Requirements using 2-4 week Sprints Exercise 6d: Adapting a change-driven Project plan that works Adapting a change-driven (Agile) Project plan that works ? what are the key differences from traditional (waterfall) project plans? Finalize the Iteration Plan and how the team will operate Running the Sprint - from Planning to Review and Retrospective Managing your Scrums and setting expectations with your team Exercise 7a: Using the case study ? Review the Review Planning checklist Using Burndown charts to track progress Exercise 7b: Using the case study ? Review the Review Retrospective checklist Manage changes during the Sprint ? What questions to ask Prepare for the Sprint Review Exercise 7c: Review of roles - Quiz Obtain Customer Acceptance of the Product Increment Hold a Sprint Retrospective - What is working and what needs to be improved upon during the Sprints Update the product backlog - Rework the High-Level (Coarse-Grain) Plan Plan and Execute the next Sprint Create an environment for continuous improvement ? Product, Process and People Additional Information Useful books and links on Agile

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

STGO Abnormal Loads

Overview This is a 2 day applied course on XVA for anyone interested in going beyond merely a conceptual understanding of XVA and wants practical examples of Monte Carlo simulation of market risk factors to create exposure distributions and profiles for derivatives used for XVA pricing Learn how to do Monte Carlo simulation of key market risk factors across major asset classes to create exposure distributions and profiles (with and without collateral) for derivatives used for XVA pricing. Learn how to calculate each XVA. Learn sensitivities of each XVA and how XVA desks manage these. Learn regulatory capital treatment of counterparty credit risk (both for CCR and CVA volatility) and how to stress test this within ICAAP or system-wide external, supervisor-led capital stress test. Who the course is for Anyone involved in OTC derivatives XVA traders XVA quants Derivatives traders and salespeople Risk management Treasury staff Internal audit and finance Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Our unique 5 day workshop prepares you for a first time pass of your CISSP exam. Covering each of the famous 8 CBK's, cram the theory before testing your knowledge during exam simulations. Led by a multi-award winning InfoSec consultant, this workshop delivers everything you need to pass,

Medical Gases Course Overview: The "Medical Gases" course provides essential knowledge on the safe and effective use of medical gases in healthcare settings. This course is designed to offer learners a comprehensive understanding of medical gases, including their types, applications, and safety protocols. It emphasises safe handling and storage procedures, with a focus on correct administration techniques and monitoring. Upon completion, learners will be well-equipped with the skills to manage medical gases within various healthcare environments, ensuring patient safety and regulatory compliance. Course Description: This course covers a broad range of topics, starting with an introduction to medical gases and their significance in healthcare. Learners will explore essential safety and handling guidelines, focusing on regulations and best practices for safe usage. The course delves into the different types of medical gases used in clinical settings, such as oxygen, nitrous oxide, and medical air. It also includes detailed instruction on the proper storage, transportation, and documentation of these gases, as well as techniques for their administration and monitoring in patient care. By the end of the course, learners will have gained the necessary skills to manage medical gases competently and safely in various healthcare settings. Medical Gases Curriculum Module 01: Introduction to Medical Gases Module 02: Safety and Handling Guidelines Module 03: Common Medical Gases Module 04: Storage, Transportation, and Documentation Module 05: Administration Techniques and Monitoring Module 06: Practical Skills and Simulation (See full curriculum) Who is this course for? Individuals seeking to gain knowledge in the use of medical gases. Professionals aiming to advance their healthcare skills. Beginners with an interest in the medical field or healthcare roles. Healthcare workers seeking to improve their knowledge of safety and regulatory requirements in gas management. Career Path: Medical gas technician Healthcare assistant in respiratory care Clinical support roles in hospitals and healthcare settings Medical equipment management Occupational health and safety in healthcare environments

Course Overview: This course provides a comprehensive introduction to the field of renewable energy, focusing on solar energy systems. Learners will explore the fundamentals of solar power, including system components, design, and application. With a practical approach, the course offers insights into both off-grid and on-grid systems, solar water pumping, and system protection. The course equips learners with essential skills for designing and optimising photovoltaic (PV) systems using industry-standard software like PVSyst, MATLAB, and ETAP. Upon completion, participants will be able to contribute to renewable energy projects, enhance their career prospects in the solar energy sector, and implement solar systems with a deeper understanding of the technological and environmental impacts. Course Description: This course delves into the key aspects of solar energy systems, offering a clear overview of essential topics such as solar panel components, battery storage, system design, and optimisation. Learners will gain in-depth knowledge of off-grid and on-grid solar energy systems, solar water pumping, and system protection. The course incorporates theoretical knowledge and system design techniques using industry-standard tools, including PVSyst, MATLAB, and ETAP. Additionally, students will learn how to design and simulate PV systems, as well as the design of system diagrams using Excel. By the end of this course, learners will have acquired the skills to confidently design and optimise solar energy systems for a range of applications, contributing to the growing renewable energy sector and ensuring sustainable energy solutions. Course Modules: Module 01: Basics of Solar Energy System Module 02: Batteries in PV System Module 03: Components and Design of Off Grid Solar Energy System Module 04: Designing of ON Grid Solar Energy System Module 05: Design of PV System Using PVSyst Programme Module 06: Solar Water Pumping System Module 07: Protection of PV System Module 08: Design Using Excel Sheet Module 09: Single Line Diagram of PV System Module 10: MATLAB and ETAP PV Simulation (See full curriculum) Who is this course for? Individuals seeking to enter the renewable energy sector. Professionals aiming to develop expertise in solar energy system design. Beginners with an interest in sustainable energy solutions. Engineers or technicians looking to broaden their knowledge of solar energy applications. Career Path Solar Energy System Designer Renewable Energy Consultant Solar Power Technician Project Manager in Renewable Energy Energy Analyst Sustainability Specialist

Level 7 Diploma In Strategic Management & Leadership - Pathway To MBA Degree Level 7 Diploma in Strategic Management & Leadership (QCF) – 6 - 8 Months Credits: 120 Credits This Level 7 Diploma in Strategic Management and Leadership (QCF) leading to an MBA is designed to fit around work and personal commitments. World-class teaching is delivered via pre-recorded online lectures to enrich the learning experience. MSBM has perfected the art of delivering practical management education. Our practice-based approach focuses on addressing real-world business problems. We don’t just give you the theory; we ensure you learn how to apply it in your working life immediately, with case studies, webinars, business simulations, and 100% project-based. This programme is a Pathway to Master of Business Administration Degree. Course Details Assessment: Assignments The objective of the Level 7 Diploma in Strategic Management and Leadership qualification is to develop strategic management and leadership skills for managers who have the authority and personal attributes to translate organizational strategy into effective operational performance. This qualification reflects current practice in Strategic Management and Leadership and allows learners to develop and expand their high-level understanding of strategic management and leadership in the workplace. This qualification is suitable for mature learners with a background business industry. The qualification has a clear work-related emphasis on practical skills development alongside theoretical fundamentals. Successful completion of the Level 7 Diploma in Strategic Management and Leadership qualification will equip learners with the key skills and capabilities to become an effective strategic manager. The qualification also allows learners to progress into or within employment and/or continue their study towards an MBA with advanced standing. Accreditation All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. University Progression University Top-up On completion of this course, students have the opportunity to complete a Master degree programme from a range of UK universities. The top-up programme can be studied online or on campus. The top-up comprises the final 60 credits which consist of either a dissertation or a dissertation and one module. (The course tuition fee listed above does NOT include the top-up fees) University Progression Click here to see University routes and fee information for progression. Entry Requirements For entry onto the Level 7 Diploma in Strategic Management & Leadership leading to the Master of Business Administration qualification, learners must possess: An honours degree in related subject or UK level 6 diploma or equivalent overseas qualification i.e. Bachelors Degree or Higher National Diploma OR Mature learners (over 25) with at least 5 years of management experience if they do not possess the above qualification (this is reviewed on a case by case basis) Workshops Workshops are conducted by live webinars for online students. Classroom workshops are available if there is a local branch in your country. Speak our course advisors on this subject. Visa Requirements There is no Visa requirement for this programme.

About this Training Course This 3 full-day course will provide insights into many aspects of operating the modern refinery as a business. This will include technical information on refining processes, crude oils and processing options, the place of the refinery in the value chain, refinery cost structure and management, optimization and profit margin, energy and oil loss reduction. This course will also address important management tools and techniques used for economic evaluations in refineries including future trends. This course will include presentations, simulations, a trading game, and exercises. This is an interactive session where participants can propose relevant topics upfront to discuss during class. This course can be further tailored for inexperienced or experienced personnel. Further customization can also include addressing a specific refinery, plant or unit. The option for post-course consultancy or help-desk support is also available. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives By participating in this highly intensive course, participants will be able to: Understand the main functions in refining processes, configurations and its operating characteristics Analyse the choice of crude, processing options and desired products and product quality parameters Closely review refinery economics and planning, margins, costing & valuation including trading Apply the methodology of refinery optimization and product improvement Gain an application of analytical tools to refinery management, supply chain and their economic drivers Appreciate the current challenges, opportunities and future trends impacting the refining industry Target Audience This course will benefit all refinery technical personnel, operations' process engineers and process managers, technical services engineers and managers, refinery planners, newly-hired refinery personnel and current semi-technical personnel who require introductory training to acquire the broader perspective of refinery economics and supply. Course Level Basic or Foundation Trainer Your expert course leader is a passionate world-class expert with 35 years of international experience in Crude Oil, Refinery Planning and Masterplanning, Process Modelling, LP Modelling and Optimization Best Practices. He has a sound understanding of refinery processes and economics. After retiring from Shell in 2020, he is now a principal consultant for Crude Oil & Refinery Modelling. He enjoys dealing with challenging technical problems and opportunities to deliver value through practical solutions. He has a hands-on mentality, is flexible and builds strong relationship with clients. During his career, he coached many engineers and delivered countless inhouse and external courses on crude oil, hydrocracking and general refinery processes and economics at the Shell Open University and many other client locations. He authored and co-authored several publications and presentations at international conferences and has three patents to his name. He understands how to deliver outstanding services in sometimes difficult cultural and commercial situations, having worked for clients around the world. He works effectively in multi-disciplinary teams, has strong analytical and problem-solving skills as well as excellent consulting, facilitation and interpersonal and multilingual skills. He has an MSc in Chemical & Agricultural Engineering (cum laude) and a BSc in Chemical & Agricultural Engineering from the University Ghent, Belgium. He is currently the Principal Consultant for Crude Oil & Refinery Modeling at Petrogenium, the international, independent, technical consultancy in oil refining, petrochemicals, oil & gas production & renewable resources. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

About this Virtual Instructor Led Training (VILT) This 5 half-day VILT course will comprehensively cover the technical aspects of gas processing. The scope will be from the wellhead through the typical gas processing plant and discuss gas gathering (pipeline hydraulics), natural gas treating (H2S, CO2 removal), acid gas injection and sulfur recovery. One unique aspect of this training course is the operations and troubleshooting discussions in each module. This VILT course is suited to technical personnel or technical management. Training Objectives After the completion of this VILT course, participants will be able to: Grasp the key specifications of natural gas and liquid products Understand the physical and transport properties of gases and liquids and liquid-vapor phase behavior Explore the various technologies for processing natural gas and to make the specifications Examine the design of the technologies Learn how to diagnose operating problems to keep facilities running reliably Target Audience This VILT course is intended for all surface technical personnel such as process engineers & technologists, facility engineers and production engineers & technologists. This VILT course will greatly benefit but not limited to: Process, petroleum and production engineers Field operators and technicians Personnel involved in gas treatment and processing Managers and Supervisors involved with gas processing operations Course Level Basic or Foundation Intermediate Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). The maximum number of participants for this course is 20 persons. Case studies and Exercises: This VILT course will use actual case references throughout its duration in various forms. This will allow the application of the participants' newly-acquired knowledge. Case studies also stimulate independent thinking and discussion among the participants Trainer Your expert course leader has written several papers that have been published in both academic and industry journals. He has over 30 years of industry experience, specializing in gas processing (pipeline hydraulics, separation, dehydration, treating, sulphur recovery and refrigeration processes) and also has experience with crude oil dehydration, stabilization and micro-refining topping plants. He has experience with developing new technology and is recently involved in lithium, waste biomass and used motor oil pyrolysis and geothermal projects. He has recognized expertise in thermodynamics and physical and transport properties of fluids. He has consulted for several EPC and operating companies through his company Chem-Pet Process Tech., and currently holds the role of Director of Technology in an integrated engineering and solutions provider to the energy industry. He is currently involved with a small power-based carbon capture project as well as helping clients determine the best options for utilities decisions. He has been involved with CO2 dehydration and CO2 flood gas treating as well as acid gas injection projects for several years. Highlighted Achievements: Developed ORC geothermal model to determine the available power from wells in Alberta Acting on the Technical Advisory Board for E3 Metals, extracting lithium from formation water. Acted as a Subject Matter Expert for assessing the performance of the Plains Midstream Canada, Empress 1 Deep Cut Straddle Plant in a potential litigation. Acted as an Expert Witness for JL Transportation patent defence of a dense phase technology. Process engineer lead on the addition of the new Orloff gas plant for Deltastream. Also troubleshooted the oil battery shipping pump, plate exchanger and FWKO and treater. Evaluated gas processing and sulphur recovery options for new feeds to the Zhaikmunai Zelenovsky Gas Plant, Kazakhstan (with PM Lucas, Serbia). Completed capacity analysis for hydrocarbon dew point versus liquid recovery of three trains at Birchcliff Pouce Coupe facility including amine unit, refrigerated gas plant and acid gas injection. Completed process design for CO2 flue gas dehydration for Husky Energy Inc (with Status Engineering) Provided simulations of EnCana Foster Creek and Christina Lake and Husky McMullen SAGD facilities (with Vista Projects). Performed process engineering for Cenovus Pelican Lake SAGD pilot (with GRB Engineering) Bear Lake heavy oil polymer injection pilot (with GRB Engineering). Lead process engineer on the design of IEC Kerrobert crude oil micro-refinery (topping plant). Provided engineering support and troubleshooting for Enerchem Slave Lake Crude tower and product blending (with Status Engineering). 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