344 GRE courses in Coventry

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

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 This course is meant for legal professionals to enhance their skills in litigation and understand the core areas of the process so that they can deliver great services to their clients. The course will focus on updating the skills in civil procedure with recent case law and legislative reforms to everyday issues.

Overview Contract Management Principles and Practices provide an overview of all phases of contracting, from requirements development to closeout, and discuss how incentives can be used to improve contract results. Explore these vital issues from the manager's perspective, highlighting key roles and responsibilities to give participants greater influence over how work is performed. Finally, discover specific actions that can be taken to help ensure that contractors or subcontractors perform as required under the contract. This course guide you through all the principles and practices of contract management and preparation. 

Overview Corporate frauds have the inherent power to bring large organizations to their knees, cause huge monetary loss, prompt lawsuits followed by significant legal expenses, lead to the imprisonment of employees and deteriorate confidence in the market, governments, and institutions. In response, corporations and governments across the globe have stepped up their effort to inspect, prevent and penalize fraudulent practices; resulting in a greater emphasis on the domains of forensic auditing and accounting in the current economy. This training course will empower you to recognize the root causes of fraud and white-collar crime in the current economy, understand the categories of fraud, equip you with methodologies of fraud detection and prevention, and heighten your ability to detect potential fraudulent situations. In addition to the fundamentals of fraud investigation and detection in a digital environment; profit-loss evaluation, analysis of accounting books, legal concepts, and quantification of financial damages are also examined in this course

About this Training Course This 5 full-day course is aimed at engineers and supervisors who already have a basic understanding of well construction methods but who would benefit from a more detailed knowledge of completion design. The course will concentrate on the important aspects of completion design and what makes a safe and efficient well. A common thread of practical examples will be used throughout the course in the form of a case study or 'red-thread' exercise. The case study is based around data all taken from a single field where those attending will work through all the basic issues of a completion design. The exercises associated with the case study is performed in the student's own time after each of the formal sessions. However, at the start of the next day, the case study is reviewed and discussed. The whole case study will continue through all sessions, with each element being reviewed at the start of the next session. There is no 'right' answer to the exercise - producing interesting discussions! The purpose of the course is not to go over specific equipment in detail. Teaching methods include presentations, videos, and animations and the case study. The course will cover: Types and configurations of completions The completion design process Inflow performance, skin and formation damage Perforating; selection, deployment and interface with rest of completion Stimulation and impact on completion and flow performance with coverage of modern horizontal multifrac tools Open hole, non-sand control completions including open hole packers and horizontal well clean up Sand control; when do you need it, basic types and selection guidelines. Includes standalone screens, ICDs, various gravel packing techniques, frac packs and expandable screens Tubing sizing, flow estimation and liquid loading Artificial lift; types and selection criteria, interface with drilling, reservoir and facilities. Design of gas lift and ESPs included Production chemistry impacts on completion, prevention and removal (scales, wax, asphaltene, hydrates, and souring) Metallurgy, corrosion, and erosion; metal types and selection of Elastomers and plastics; types and selection of Tubing stress analysis; picking the grade and weight of tubing, plus selection criteria for packers and expansion devices. Interface between tubing stress analysis and casing design Completion equipment; basic types of equipment, reliability and selection criteria for each (tree, safety valve, mandrel, packers, expansion devices etc) Completion installation; importance of wellbore clean-out, function and types of brines, pointers for efficient completion installation Non-conventional wells; types and when / where to use them (multilaterals, smart (intelligent) wells and also SAGD, CO2 sequestration, CBM, etc) Training Objectives By the end of this course, the participants should be able to: Have a good understanding of the completion design process and what makes a good completion design Understand the importance of the installation process (completion running) in the design process Have an appreciation of new and developing completion techniques (intelligent wells) Target Audience This course will benefit engineers and field-based personnel such as completion supervisors and production engineers. It is also suitable for completion vendors, specialists such as chemists and subsurface personnel including geologists, reservoir engineers and petrophysicists. Trainer Your expert course leader has 30 years of oil and gas industry experience. A first class degree in geophysics and a master degree in Petroleum Engineering was a prelude to seven years with BP as a petroleum engineer. He left BP and following a short spell in Camco, jointly founded ICE Energy. After six years of completions and petroleum engineering consultancy and training, ICE Energy merged with TRACS International, where he continued with petroleum and completion engineering studies, leading integrated teams, and developing / delivering training courses for a variety of different clients in diverse world-wide locations. In the last five years, he is independent again - focusing on technical consulting and course delivery. 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  The prospect maturation process, from a lead to a drillable prospect, is at the heart of the exploration business. This 5 full day course will cover all aspects of the prospect maturation process: play understanding in the context of regional geological understanding, detailed prospect evaluation; realistic risk & volume assessment consistent with the play understanding and prospect details, and an introduction to exploration economics. Throughout the course, there is a strong focus on pragmatic (geo)logical approach for assessing those aspects that are input parameters for a meaningful assessment of prospect risks and volumes, with emphasis on a balanced integration of contributions from different sub-surface disciplines. Many examples from basins from around the world are used to illustrate how traps, reservoirs, seals and charge occur in different basin settings. Specifics topics that will be discussed include the following: The statistical fundamentals for risk and volume assessment will be presented, with practical exercises for understanding the results of a risk & volume assessment as they are displayed in expectation curves. The difference between risk and uncertainty. A full discussion of the essential requirements for a working petroleum system: Trap, reservoir, seal and charge. Examples of how traps, reservoirs, seals and charge work in different basin types around the globe and in Australian basins. Exercises and guidelines for estimating uncertainties for prospect parameters, including advice for deciding which distribution type to use, and how to constrain those distributions for meaningful uncertainty ranges (setting minimum most likely and maximum values). Particular emphasis will be given to estimating hydrocarbon column lengths with their associated uncertainties in undrilled prospects. Prospects and plays: The value of play maps and how these should be used for assessment of prospect risks and for ranking of prospects within a play. Calculating volume ranges for prospects. Calculating volumes for groups of prospects; how to add risked prospect volumes for a statistically correct representation of the volume promise of a portfolio of prospects. Geophysical evidence: Incorporating geophysical evidence (DHIs) consistently and realistically in a risk assessment. An understandable and geology-based workflow, consistent with Bayes theorem, will be presented. Exploration economics. Training Objectives What this course will cover in 5 days: This course describes the various aspects that need to be considered in the prospect maturation process, including: Play development in the context of a sound understanding of the regional geology Detailed prospect evaluation and understanding of the critical aspects of traps, reservoirs, seals and charge Examples from plays and prospects in different basin settings from around the globe Realistic and pragmatic risk and volume assessment, based on the geological understanding of plays and prospects An introduction to exploration economics Examples of plays, oil and gas fields and prospects from basins from around the world, including the Far East, will be given. Target Audience This course is designed primarily for Geoscientists in exploration who would like to improve their expertise of the prospect maturation process and risk and volume assessment. The course has proven to be of value for explorers in the early phase of their career, seasoned explorers and team leaders. It will also benefit staff from disciplines working closely with exploration staff including Prospect Portfolio Analysts, Petrophysicists, Geophysicists and Reservoir Engineers. Course Level Intermediate Training Methods At the end of the course, the participants will have a good understanding of the essentials for realistic risk and volume assessments of exploration prospects. The course should allow participants to produce well-considered and realistic assessments for prospects they may be working on, and to understand and constructively challenge risk and volume assessments of colleagues and/ or partners/ competitors. Each topic is introduced by a lecture, and learning is re-inforced by practical exercises and discussions. Hand-out materials in paper and/or electronic format will be provided. Time will be made available to discuss aspects of prospects that may be brought in by course participants. Trainer Your expert course leader has a PhD in Geology from the University of Utrecht. He worked for 31 years (1979 -2010) with Shell as an exploration geologist in a variety of functions across the globe. As Principle Technical Expert, he was responsible for ensuring that Risk & Volume assessments were carried out consistently and correctly in all of Shell's exploration units. In this capacity, he led and participated in countless prospect review sessions and developed and conducted a successful in-house course on Risks & Volume assessment. As manager of the Exploration Excellence Team, he performed in depth analysis of basins and plays and provided advice on exploration opportunities to senior management. Together with his team, he visited most of Shell's exploration offices, working hands-on with Shell's local exploration teams to generate new play and prospect ideas and to suggest evaluation techniques and technologies to apply. In 2010, he was appointed as extraordinary professor Regional and Petroleum Geology at the VU university of Amsterdam and in 2012 also at the University of Utrecht. He was visiting professor at the University of Malaya (Malaysia). Through his own consultancy, as of 2010, he provides advice on exploration activities to several companies and is regularly invited to carry out technical reviews. Activities cover all continents and include Portfolio Reviews, Prospect assessment, Play-based Exploration, and Geothermal activities. He conducts courses on several topics including Risk & Volume Assessment, Prospect Maturation, Basin Analysis, Play-based Exploration, Trap & Seal Analysis, Petroleum Geology for Non-geologists. Some of his recent publications include: De Jager, J. & van Winden, M. (2020): Play-Based Exploration of the petroleum potential of the Tremp-Graus, Aínsa and eastern Jaca Sub-basins in the southern Pyrenees. Invited contribution for Digital Geology, EAGE special publication (eds: Grötsch, J. & Pöppelreiter, M.) De Jager, J. (2020). Concepts of Conventional Petroleum Systems. Invited contribution for Regional Geology and Tectonics Volume 1: Global Concepts, Techniques and Methodology (eds: Adam, J., Chiarelly, D. & Scarselli, N.) De Jager, J. (2021): Handbook Risk & Volume Assessment. Self-published De Jager, J., Van Ojik, K & Smit, R. (2023 - in preparation): Geological Development of The Netherlands. In: Geology of The Netherlands (eds: Ten Veen, J., Vis, G-J., De Jager, J. @ Wong, T.) 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

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.

Python training course description This Python course focusses on teaching Python for use in network automation and network DevOps. We focus on getting delegates up and running with Python and network automation as quickly as possible rather than making them great programmers. In other words we concentrate on enabling delegates to use network automation libraries such as netmiko, NAPALM and Nornir, and APIs such as NETCONF and RESTCONF rather than enabling delegates to produce object oriented programs. Hands on sessions use Cisco and Juniper devices. What will you learn Run Python programs. Read Python programs. Write Python programs. Debug Python programs. Automate network tasks with Python programs. Configure network devices with Python. Collect data from network devices with Python. Python training course details Who will benefit: Network engineers. Prerequisites: TCP/IP Foundation Duration 5 days Python training course contents What is Python? Programming languages, Why Python? Python in interactive mode, Python scripts, ipython, Python version 2 versus version 3. A simple Python script. Comments. Hands on Installing Python, Hello world. A network example On box vs off box Python. telnet, ssh, NETCONF, HTTP, APIs, manufacturers and API support, analysis of a simple telnetlib program. Hands on Using Python to retrieve the configuration from a network device. Using wireshark to analyse the actions. Python basics I/O, operators, variables and assignment, types, indentation, loops and conditionals. Hands on Modifying the telnet program, changing configurations on a network devices. Functions, classes and methods What are functions, calling functions, builtin functions, useful builtin functions, file handling, classes, objects, creating instances. Hands on Storing configurations in files, configuring devices from files, using an inventory file to work on multiple devices. Libraries and modules Modules, files and packages, import, from-import, Python standard library, other packages, pip install, executing other programs. Managing python libraries. Hands on Using pip, installing and using ipaddress, subprocess to access netsnmp. For the more advanced, using the sockets library. Paramiko and netmiko SSH, enabling SSH on devices, keys. Paramiko versus netmiko, example scripts. pexpect. Hands on Configuring VLANs from Python. pySNMP Gathering facts using previous methods, SNMP review, pySNMP GET, pySNMP and SNMPv3. easySNMP library. Hands on Walking a MIB from Python. NETCONF What is NETCONF? Enabling NETCONF on devices, A first ncclient script, device handlers, get_config, edit_config, copy_config, delete_config, commit, validate, pyEZ, utils_config, utils.sw. Hands on Configuration using ncclient and PyEZ. This session is expanded for those interesting in JunOS automation. Manipulating configuration files Builtin functions, string handling. Unicode. Sequences, strings, lists, tuples. Dictionaries. TextFSM. Regular expressions. JSON, YAML, XML, YANG, Jinja2, templates. Hands on Jinja2 templating with Python to configure network devices. NAPALM Getters, configuration operations, supported devices, NAPALM transport, Config-replace, Config-merge, Compare config, Atomic changes, rollback. Example NAPLAM scripts. Hands on Using NAPALM to gather facts, Using NAPALM for configuration management REST and RESTCONF What is REST, HTTP methods, GET, POST, cURL, Postman, Python requests library. RESTCONF, a RESTCONF example. Hands on Modifying a configuration using RESTCONF. Scapy What is scapy, Scapy in interactive mode, Scapy as a module. Hands on Packet crafting from Python. Warning Errors and exceptions, Exception handling, try, except. Memory management. Garbage collection. Context management, With. Hands on Improving Python code. Nornir What is Nornir? A network automation framework, inventories, connection management and parallelization. Nornir architecture and other libraires. Hands on Setting up nornir, nornir fact gathering, nornir tasks. Optional Writing your own functions, Writing your own classes. pyntc. Hands on Writing reusable code.

About this training course Gas well performance is dictated by the combination of inflow and outflow performance. The outflow performance of any gas well is at risk as soon as the gas rate becomes insufficient to lift the associated liquid water and condensate to surface. This condition is referred to as liquid loading and invariably causes intermittent production and significant loss of well capacity and reserves. Liquid loading can be mitigated by different types of gas well deliquification such as compression, velocity string, plunger lift, foam-assisted lift, gas lift and downhole pump. This 5 full-day course will first show how to predict and recognize liquid loading. Next, it will describe how to select, design, install and operate the best sequence of deliquification measures. It will also consider deliquification in the presence of other production threats such as water production and halite blockage. These topics will be illustrated by an abundance of field examples and case studies. The participants will be completing a case study during the training. This case study is preferably based on their own relevant data set. If no such data is available, an external data set will be provided instead. Prerequisites skills: It is necessary for the participants to have a basic knowledge of petroleum engineering and gas well performance. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives On completion of this course, the participants will be able to: Develop skills and tools to understand and model gas well liquid loading and deliquification Understand the principles and practicalities of different deliquification methods Learn how to compare, select and apply deliquification measures by taking own field case as example Target Audience This course is intended for production engineer, surveillance engineer, completion engineer, production/process chemist, reservoir engineer, production programmer, production operator as well as professionals responsible for selecting, installing, operating, monitoring and optimizing deliquification. Course Level Basic or Foundation Training Methods This course utilizes Excel worksheets first introduced in the Optimising Gas Well Performance course. To derive maximum learning value, the participants are requested to bring their own relevant set of field data to complete their own case study during the training. The list of data required will be shared beforehand so data can be timely collected and cleared for external use. The participants should be prepared to complete any unfinished exercises and assignments before next day's session starts. The instructor will be available to discuss any remaining queries after the completion of the course. Trainer Your expert course leader brings with him 35 years of oil and gas field experience within Shell of which 25 years as gas well production engineer. He has covered the full spectrum of activities moving from R&D to green field development to brown field surveillance and optimisation, to become a leading gas well performance and deliquification specialist. He likes to capture the complex reality of gas well inflow, outflow and reservoir performance by means of practical data-driven rules and tools that cover a wide range of conditions i.e. shallow-to-deep, prolific-to-tight, dry-to-wet, green-to-brown, 1-1/2'-to-9-5/8' tubing, and depletion-to-aquifer drive. Before his retirement in end 2020, he worked for various Shell affiliated oil and gas companies including Shell Malaysia, Petroleum Development Oman, NAM Netherlands and Shell R&D in Netherlands and USA. 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