1345 RES courses in Edinburgh

About this Virtual Instructor Led Training (VILT)  The Advanced Reservoir Engineering VILT course will address modern practical aspects of reservoir engineering during 5 half-days packed with lectures, virtual exercises, discussions and literature reviews. The participants' understanding of fundamental concepts and modern practical reservoir engineering methods will be deepened and a wide range of topics will be addressed. Topics covered The VILT course will emphasise reservoir engineering applications and include topics such as: Rock properties of clastic and carbonate reservoirs Reservoir characterisation Reservoir fluid behaviour Identification of main production mechanisms Design and analysis of well tests Production forecasting Application of Decline Curve Analysis in mature fields Detailed modeling of wells and reservoirs Water flooding Application of EOR methods Reserves and resource estimation Reservoir simulation approaches, model construction and well, aquifer and fluid modelling Development planning Uncertainty handling and scenario methods Depending on the background and requirements of the participants, some topics may be given more emphasis.   Training Objectives In this VILT course, reservoir engineering methods will be addressed which are of use in the daily reservoir engineering practice. The focus will be on practical applicability. Use is made of practical and actual reservoir engineering problems and examples to illustrate relevant subjects. By attending this VILT course, participants will have a deeper knowledge of modern reservoir engineering practices for reservoir development and production, including the construction and use of reservoir models. Target Audience The VILT course is intended for experienced reservoir engineers with prior technical or engineering exposure to production activities. Petroleum engineers and geoscientists who require more than general knowledge of reservoir engineering will also find this course useful. Participants are invited but not obliged to bring a short presentation (max of 15 minutes) on a practical problem they encountered in their work. This will then be explained and discussed in the VILT class. A short test or quiz will be held at the end the VILT course. Training Methods This VILT course will be delivered online over 5 half-days. There will be 2 blocks of two hours per day, including lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be required. Two breaks of 10 minutes will be provided each day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your course leader is an independent Reservoir Engineering Consultant. He provides project consultancy, quality assurance and reservoir engineering training for major oil companies, governments, engineering firms and other global customers. Before he retired from Shell in 2012, he held positions as Senior Reserves Consultant for the Middle East and Reservoir Engineering Discipline Lead. He is a petroleum engineering professional, with global experience, mostly in Shell companies and joint ventures (NAM, SSB, SCL, PDO, SKDBV). He has been involved in reserves and resource management, has extensive reservoir modelling and reservoir simulation expertise, and wide experience in the design and delivery of training programmes for employee development. PROFESSIONAL EXPERIENCE 2012 - 2016 Independent Reservoir Engineering Consultant Project consultancy, quality assurance and reservoir engineering training for major oil companies, governments, engineering firms and other global customers. Delivering specialised and general Reservoir Engineering courses to a multitude of international companies. 2008 - 2012 Shell International E&P, the Hague, the Netherlands Senior Reserves Consultant for the Middle East Region Assurance of SEC and SPE compliance of reserves and resources in Shell Middle East region. Contributor to the 2012 SPE guidelines on reserves and resources assessment. 2006 - 2008 Shell E&P Technology Solutions, Rijswijk, the Netherlands Reservoir Engineering Discipline Lead Responsible for QA/QC of Reservoir Engineering in global E&P projects as well as for staff development. (over 60 international Reservoir Engineers) 2001 - 2005 Centre for Carbonate Studies, SQU, Oman / Shell International E&P Technology Applications and Research /Shell Representative Office Oman Petroleum Engineering Manager PE manager in the Carbonate Research centre, at Sultan Qaboos University in Oman. Industrial research projects and support to teaching on recovery aspects of carbonate reservoir development. Design and delivery of industrial courses on carbonate reservoirs 1997- 2000 Shell International E&P, Rijswijk, the Netherlands Principal Reservoir engineer. Acting Shell Group Reserves Co-ordinator in 1997-1998. Facilitation of workshops with government shareholders, including discussions on sensitive reserves issues (BSP Petroleum Unit Brunei, PDO Oman, SPDC government Nigeria). Co-ordination of the NOV subsurface team in Shell Kazakhstan Development BV in 2000. Leading role in Shell Gamechanger project on natural gas hydrates. 1992- 1996 Shell Training Centre, Noordwijkerhout, the Netherlands Reservoir Engineering Programme Training Director Directed Shell Group Reservoir Engineering Training. Introduced advanced PE training events, QA/QC and learning transfer measures, Design and delivery of reservoir engineering and multidiscipline courses to Shell staff from a wide range of nationalities. 1985- 1992 Shell International, SIPM, the Hague, The Netherlands Senior Reservoir Engineer Full field reservoir simulation projects supporting Field Development Plans, operational strategies and unitisation negotiations for Shell Group Operating Companies in the United Kingdom, New Zealand and Egypt. Major contributor to the Shell internal Gas Field Planning Tool development. 1984- 1985 Geological Survey of the Netherlands (RGD), Ministry of Economic Affairs Reservoir Engineering Section Head Responsible for Petroleum Engineering advice on oil and gas licences to the Ministry of Economic Affairs. First-hand experience with a government view on resource management. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

About this Training Course This 5 full-day course has been designed to develop skills in understanding the geometry and petrophysical characteristics of carbonate reservoirs. Depositional fabric, grain type and size and subsequent diagenetic modifications are the major controls on carbonate reservoir behaviour. The complex inter-relationship of the depositional and burial history can be unravelled to allow prediction of reservoir facies and reconstruction of three-dimensional reservoir models. This course will demonstrate the value of the reservoir model in volumetric assessment and development of carbonate reservoirs. *Previous knowledge of carbonate sedimentology is not required. Course Content in Summary: Carbonate reservoirs: Basic principles; depositional concepts; grain types; textures and fabrics; environmental reconstruction. The reservoir model - depositional and diagenetic characteristics: Sabkha/tidal flat; lagoon; shelf; reef (rudist and coral/algal); barrier/shoal; slope and redeposited; aeolian and lacustrine; karst plays. Carbonate diagenesis: Primary and secondary porosity; compaction; pressure solution; cementation; dolomitisation; porosity generation and destruction; fractures. Carbonate sequence stratigraphy Log response in carbonate rocks: Gamma; sonic; neutron; density; FMS. Reservoir assessment: Fracture reservoirs; reservoir modelling; volumetric assessment in correlation and mapping; effects of capillary pressure; interface with engineering. Training Objectives By attending this course, participants will be able to: Understand carbonate depositional systems and controls. Recognise and model controls on reservoir quality and pore systems, including diagenesis and fracturing. Understand and apply carbonate seismic stratigraphy and sequence stratigraphy. Interpret log responses. Target Audience This course is intended for petroleum geologists, explorationists, petrophysicists, geophysicists and engineers involved with exploration of carbonate plays and development of carbonate reservoirs. Trainer Your expert course leader is a Director and Senior Consultant Geologist who has worked on various carbonate consultancy projects, conducted detailed sedimentological, sequence stratigraphic and diagenetic technical studies and delivered training programmes. He was formerly Managing Director of Robertson UK Limited and was responsible for the integration between different disciplines, recognition, and encouragement of technical innovation and research and development programmes across all oil and gas divisions in the company. He was also responsible for all aspects of the performance of the main Geological, Geophysical and Reservoir Engineering Services in the company. 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: 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)

Trauma Risk Management is an evidence based, peer delivered risk assessment and ongoing support system, designed specifically to help in the management of traumatic events.

OOAD training course description A workshop course providing thorough practical knowledge of object oriented analysis and design methods. What will you learn Perform Systems Analysis with Object Oriented methods. Identify key classes and objects. Expand and refine OO problem domain models. Design Class hierarchies using inheritance and polymorphism. Design programs with Object Oriented methods. OOAD training course details Who will benefit: System analysts, designers, programmers and project managers. Prerequisites: It is desirable that delegates have experience of programming in C++/Java or some other OOP language. Duration 5 days OOAD training course contents What is OO? Classes, objects, messages, encapsulation, associations, inheritance, polymorphism, reusability. What is Systems Analysis and design? Data flow diagrams, structure diagrams. The OO approach. OOA The problem domain and object modelling. Identifying classes and objects. Generalisation and inheritance. Defining attributes and methods. OOD Refining the OOA results. Designing the User Interface. Designing the algorithms and data structures using objects. Designing the methods. OOP Prototyping. Implementing OOD with OOPs and OOPLs.

This course will develop knowledge from the FD&FA foundation BS 5839-1 module and/or industry experience and apply this to the design of FD&FA systems.

This module focuses on developing leadership confidence through self-discovery, emphasising the importance of understanding one's unique leadership style and personal philosophy. Participants will explore their core identity as leaders and learn strategies to enhance their influence, credibility, and relationships within their organisation. Exploring the link between self-discovery and effective leadership, focusing on developing confidence to lead from within. Testimonial: “Without guidance, personal branding can quickly become an exercise in aspiration and competition; letting the carefully curated public personas of others dictate our own validity and definition of success. Clarity on who we truly are, what matters to us and therefore how we position ourselves in the world takes reflection and time. Rachael’s work in this area has inspired the nearly 100 delegates who have been part of our HR Leadership Academy over the past 8 years, and I have no doubt will continue to resonate with future cohorts.” MD, Nina Metson - Suffolk

The "Emergency Response for Care Homes" course is designed to provide care home staff with essential knowledge and skills to effectively respond to a wide range of emergency situations. This course aims to reinforce and update the participants' understanding of emergency protocols, procedures, and best practices, ensuring a safe and coordinated response in times of crisis.

It is a requirement within codes of practice e.g., BS 5839-1, and within legislation e.g., Health & Safety at Work Act 1974, that duties are placed upon employers and employees regarding health & safety and in particular electrical safety.

In the modern work environment, managers and leaders must treat all colleagues with respect, including those who are challenging. Understanding the causes of difficult behaviour and being self-aware are crucial for creating a fair and inclusive workplace. This training session equips participants with the knowledge and communication tools to manage and overcome difficult behaviours effectively. This course is available to book for delivery in-house for your organisation and people exclusively, for either a half or full days training workshop. Prices are dependent on size of group ranging from a minimum of 4 to a maximum of 12 delegates. If you have a smaller number of delegates the Puritas 1:1 Leadership Coaching Programme is recommended.