1281 Business courses in London

Generating new leads and new business can be both time-consuming and frustrating. It's not easy - it takes skill, careful preparation and the creation of effective models and methods, even perhaps using formal approaches and scripts. Once generated, a new lead or enquiry must also be carefully managed to maximise the potential revenue it can generate. But it's crucial to get it right. If your company can afford not to worry about getting new business - congratulations! If your company is completely confident that it is performing at peak potential in generating new leads - again, congratulations! But if your company is working in the real world, couldn't your team do with some help, to become even just that little bit more effective, to make the process just that little less painful? This highly practical, intensive workshop gives sales teams the proven strategies and tactics they need to build a sustainable new business pipeline. This course will help participants: Develop a clear and consistent process for new business development and lead-generation Master the secret of effective new business development and lead-generation - 'only sell the appointment or next stage of the sales process, not your product or service' Set and achieve the right level of new business development and lead-generation activity to achieve your personal and organisational sales goals Apply the key principles of effective prospecting and pipeline management using a proven toolkit and approach Overcome the most common 'put-offs' when conducting telephone or face-to-face business-development and lead-generation activities Develop an engaging telephone voice and manner - and a 'networking personality' Qualify potential opportunities with more accuracy on a consistent basis Prioritise opportunities and manage their time when sourcing new business Discover online sources of leads, contacts and referrals Overcome psychological blocks to cold or warm calling - theirs and the client's Identify potential prospects - and decision-makers and influencers within target prospects - with greater accuracy Make outbound sales or appointment calls with improved confidence, control and results Improve the conversion of calls to appointments by using more effective questions and sales messages Get past gatekeepers and assistants more effectively Make the most of your CRM software and systems 1 Online marketing - what works! Workshop overview and learning objectives Choosing your social media channels LinkedIn for sales and marketing Designing and implementing an effective new business email campaign online Creating a lead-generation strategy online - with case studies Avoiding common mistakes in social media marketing Case study: 'Best practice in social media sales and marketing' Using blogs and video-based marketing (eg, YouTube) New trends and how to keep your finger on the 'social media' pulse Twenty essential websites and online marketing tools 2 Making appointments by telephone Planning the call, telephone techniques, integrating with email and online marketing Developing a clear and consistent process to appointment-making Setting and achieving the right level of telephone activity to achieve your appointment goals Applying the key principles of effective prospecting and pipeline management generation, using a proven toolkit and approach Overcoming the most common 'put-offs' to seeing or engaging with you Overcoming psychological blocks to cold or warm calling - yours and the client's Identifying potential prospects - and decision-makers and influencers within target prospects - with greater accuracy Making outbound sales or appointment calls with improved confidence, control and results Improving conversion of calls to appointments by using more effective questions and sales messages The five keys to developing an engaging telephone voice and approaching manner 3 Power networking Strategies for networking and B2B referral-based marketing The importance, and different types, of networking How to work a room - preparation and strategy Communication dynamics in networking - the power of the listening networker Assumptions when networking Business networking etiquette Making connections, asking for cards, contact details and referrals, gaining follow-up commitments Building relationships - follow-up and follow-through 4 Developing new leads Strategies for first-time sales calls Gaining rapport and opening first-time and new business sales calls effectively Advanced consultative selling - questioning techniques to quickly and efficiently uncover opportunities, need areas and preferences Presenting your solution to a new or first-time customer - creating an enthusiastic and compelling personalised and persuasive summary of your proposal Value message - differentiate your solutions clearly and accurately, with tailored value statements Presenting the right initial USPs, features and benefits and making them relevant and real to the customer Smart ways to position price, emphasise value and be a strong player without being the cheapest or leading on price Learn and use advanced techniques to determine customer needs, value and decision-making criteria in depth on a first-time call 5 Organised persistence - CRM and prospect-tracking Organised persistence - sales tracking, following up on 'sleeping' customers, gaining referrals, time and territory management Maintaining a good database for maximising new business ROI Developing a contact strategy with different types and levels of contact Analysing your contact base using state-of-the-art software and tools Making the most of your CRM systems and solutions Understanding that your attitude makes a difference when sourcing new business Setting SMART objectives for new business development and lead-generation Practical exercise - setting personal development and business goals Time management tips to improve daily productivity New business pipeline management strategies for peak sales performance 6 Workshop summary and close Practical exercise - developing your new business action plan Review and feedback

About this Training Front End Loading (FEL) is a methodology that takes a deliberate approach to capital project planning. Where traditional project plans seek to help an operator reach production targets and budgets, FEL methodology aligns an operator's technical and business goals to create a more comprehensive development plan. The FEL approach increases project definition and lowers risk to positively impact total investment costs and return on investment. Training Objectives Upon completion of this course, participants will be able to: Learn the methods applied for Pre-FEL and FEL process Understand the importance of FEL, FEL stages; visualisation, conceptualisation, definition Uncover how to apply project management during FEL Determine risk management in the FEL process Understand benchmarking & value improving practices   Target Audience The course is recommended for anyone who wish to gain in-depth knowledge and understanding of the importance of Front-End Loading and how to apply Front End Loading best practices, including: Team Leaders Senior Managers (Line and Function) Project Managers Development Engineers Graduate Engineers Quality Assurance Engineers Key Contractor's Management FEED engineers Design engineers Mechanical engineers Process engineers   Course Level Basic or Foundation Trainer Your expert course leader is a subsea pipeline consultant with extensive experience in the design, construction, and installation of subsea pipelines for the oil and gas industry. As a consultant, he provides technical expertise and support to clients on all aspects of subsea pipeline projects, from the initial planning and design phase through to construction and commissioning. He is knowledgeable about industry standards, regulations, and best practices for subsea pipelines, and works closely with clients to ensure that projects are delivered safely, on time, and within budget. He has over thirty years' experience in early concept and front-end studies for the initiation of numerous high value upstream oil and gas projects worldwide. He has worked for both Operating Companies and Consultants managing the FEL process for complex, multi-discipline and technically challenging concepts, combining both his technical and project management skills. He has been working with companies like ExxonMobil, Quantum Power, North Caspian Operating Company, OMV Petrom, Port Meridian, BG Group, and etc.   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

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Global leading Asset Management Certificate course in-person leading to the IAM Certificate and CAMA, Manchester UK, September 2023

About this Training Energy insurance is a type of insurance designed to protect businesses that work in the energy industry. This type of insurance covers a wide range of risks that are unique to the energy industry, such as damage to oil rigs, power plants, pipelines, or other energy infrastructure, as well as accidents, explosions, fires, and environmental damage. Energy insurance can also provide coverage for business interruption caused by unforeseen events that can disrupt energy production or supply, such as natural disasters, equipment breakdown, and cyber-attacks. It may also include coverage for liability and loss of income resulting from lawsuits and legal claims. Training Objectives Upon completion of this course, participants will be able to: Understand the risk sharing between oil companies and contractors Know how this is dealt within the insurance products available Understand insurer's perception of risk Create awareness of how market insurance products meet industry needs Be familiar with insurer's pricing methodologies Better understanding of the broker interface Understand technical evaluation of the coverage wordings Putting technical knowledge into practice with claims workshop Target Audience The course is intended for individuals who work in the energy industry, particularly those who are involved in managing risk or making decisions related to insurance coverage. The following personnel will benefit from the knowledge shared in this course: Insurers Brokers Adjusters Lawyers Risk Managers Treasury Contracts Legals Contract Adjustor Project Managers Course Level Basic or Foundation Trainer Your expert course leader has worked in the insurance sector for 59 years. He has worked as a broker for reputable firms, such as Marsh, where he served as the managing director of Energy Construction. He has also participated in peer review for different Lloyds Syndicates. He also served as a broker for Sedgwick, AAA, and Miller in the offshore energy sector. He has helped businesses including Shell, BP, Chevron, ConocoPhillips, Petrofina, Woodside, ENI, and Brunei Shell for their policy reviews during his career. 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

Lean Six Sigma Black Belt Certification Program 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)

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)

Introduction to Design Thinking: In-House Training Innovation is the cornerstone of highly successful companies, especially those that continue to be successful over the years and decades. Design thinking practices fuel this continual innovation, as they are the critical links from inspiration to delivery, concept to showroom floor, and start-up to global business. Design thinking is a structured approach to promoting innovation and creative problem-solving. It is not a new approach. It has been around for centuries, as the art, architecture, and inventions of mankind illustrate. By examining the steps to achieving great design and maximum utility of product, design thinking approaches provide a framework in which to develop new solutions to problems and new products to sell. This highly interactive course is designed to help participants think like designers to generate innovation, and to help teams to produce more innovation and creativity. Since design thinking is based on doing rather than thinking, we participants are challenged to apply the techniques, in the classroom, to create new ideas and solutions to a case study project. What you will Learn At the end of this program, you will be able to: Explain the underlying principles and value of using Design Thinking for innovation Describe the basic concepts of the Stanford Model for Design Thinking Evaluate a set of basic Design Thinking techniques for application to your projects Apply tools, techniques, and skills aligned with the 5 stages of the Stanford Model Drive innovation through Design Thinking at some level in your work environment Foundation Concepts Problems and solutions The Design Thinking difference Design Thinking skills and abilities Design Thinking mindset Design Thinking frameworks Stages of Design Thinking Problems and solutions The Design Thinking difference Design Thinking skills and abilities Design Thinking mindset Design Thinking frameworks General Practices Team formation Visualization Improvisation Personalization Empathize Practices Overview of Empathize techniques Observation Engagement Interviews Define Practices Overview of Define practices Unpacking techniques Defining the customer techniques Integrating the Define experience Ideate Practices Overview of Ideate practices Reusable techniques for the Ideate stage New Ideate techniques to explore Prototype & Test Practices Overview of Prototype practices Examples of prototypes Overview of Testing practices Forms of testing techniques Adopt and Adapt Design Thinking Overview of Design Thinking implementation Design Thinking implementation challenges Success in implementing Design Thinking Summary and Next Steps Workshop summary Next steps: Personal Action Plans

Introduction to Design Thinking Innovation is the cornerstone of highly successful companies, especially those that continue to be successful over the years and decades. Design thinking practices fuel this continual innovation, as they are the critical links from inspiration to delivery, concept to showroom floor, and start-up to global business. Design thinking is a structured approach to promoting innovation and creative problem-solving. It is not a new approach. It has been around for centuries, as the art, architecture, and inventions of mankind illustrate. By examining the steps to achieving great design and maximum utility of product, design thinking approaches provide a framework in which to develop new solutions to problems and new products to sell. This highly interactive course is designed to help participants think like designers to generate innovation, and to help teams to produce more innovation and creativity. Since design thinking is based on doing rather than thinking, we participants are challenged to apply the techniques, in the classroom, to create new ideas and solutions to a case study project. What you will Learn At the end of this program, you will be able to: Explain the underlying principles and value of using Design Thinking for innovation Describe the basic concepts of the Stanford Model for Design Thinking Evaluate a set of basic Design Thinking techniques for application to your projects Apply tools, techniques, and skills aligned with the 5 stages of the Stanford Model Drive innovation through Design Thinking at some level in your work environment Foundation Concepts Problems and solutions The Design Thinking difference Design Thinking skills and abilities Design Thinking mindset Design Thinking frameworks Stages of Design Thinking Problems and solutions The Design Thinking difference Design Thinking skills and abilities Design Thinking mindset Design Thinking frameworks General Practices Team formation Visualization Improvisation Personalization Empathize Practices Overview of Empathize techniques Observation Engagement Interviews Define Practices Overview of Define practices Unpacking techniques Defining the customer techniques Integrating the Define experience Ideate Practices Overview of Ideate practices Reusable techniques for the Ideate stage New Ideate techniques to explore Prototype & Test Practices Overview of Prototype practices Examples of prototypes Overview of Testing practices Forms of testing techniques Adopt and Adapt Design Thinking Overview of Design Thinking implementation Design Thinking implementation challenges Success in implementing Design Thinking Summary and Next Steps Workshop summary Next steps: Personal Action Plans

About this Training Course Gas wells are the most uncertain hence critical component of any gas production system. A successful gas project relies on a reliable forecast of gas well production and on timely implementation of measures that restore, sustain and improve gas well capacity, and maximize reserves. This 5-day course provides the skills to understand and analyze (changes in) gas well performance, and to select and design those remedial measures. It addresses all four gas well components i.e. reservoir performance, inflow performance, outflow performance and surface performance, individually and combined. In depletion-drive reservoirs, the gas well outflow performance becomes inevitably compromised as the reservoir pressure depletes and the gas rate becomes insufficient to lift liquid water and condensate to surface. This condition is referred to as liquid loading and causes significant loss of well capacity and reserves. This 5-day course provides the means to recognize and predict liquid loading, introduces the deliquification techniques that mitigate liquid loading, and then teaches how to select, design, install and operate the optimum suite of deliquification measures. Training Objectives On completion of this course, participants will be able to: Recognize and model gas well reservoir, inflow, outflow and surface performance Understand and model gas well production forecast and reserves Identify and model gas well performance threats and opportunities, specifically liquid loading and deliquification Select and justify remedial measures that mitigate those threats or realize those opportunities, specifically deliquification measures Understand design, installation and operation of those deliquification measures 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 other professionals responsible for selecting, installing, operating, monitoring and optimizing deliquification. Course Level Basic or Foundation Training Methods This course consists of a series of lectures and exercises. The lectures are interactive with field examples to illustrate models and concepts, where participants are encouraged to contribute their own relevant field examples. The exercises make use of a series of Excel worksheets for model calculations. Participants are invited to implement their own field specific well data. When arranged beforehand, PROSPER gas well performance software can be used as well. This course addresses ways and means to monitor and manage gas well performance and deliquification. It covers the purpose, outcome and benefit of gas well surveillance and capacity measures to assist future surveillance and capacity planning. Specifically, it addresses the selection and implementation of deliquification measures. This course introduces the skills and tools required for periodic review of gas well performance in support of critical business processes Trainer Your expert course leader brings with him 38 years of oil and gas field experience largely 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 end 2020, He worked for Shell affiliated oil and gas companies including Shell Malaysia, Petroleum Development Oman, NAM Netherlands and Shell R&D in Netherlands and USA. Since then, he has been active as an independent trainer and consultant, amongst others for Cairn India. 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