19 Courses in Belfast

When used effectively, questioning is a useful teaching and learning strategy. During this workshop we will discuss how questioning can be used effectively to assess, challenge and stretch pupils progress.

Get strategies for developing numeracy and literacy across the curriculum.

NPORS MEWP Boom (N108)

NPORS Excavator Micro (up to 1 Tonne) (N016)

NPORS Suction Excavator (N021)

If you want to start installing independently or with an electrical contractor look no further as this course will give you the skills and knowledge required. This package which will allow you to become a fully qualified domestic installer and enable you to join a Competent Person Self-Certification Scheme and certify your own domestic work.

The NVQ Level 3 is designed to provide both new entrants and those seeking progression in their career, with the opportunity to develop the necessary skills to carry out job roles and responsibilities associated with the installation and maintenance of Electrotechnical systems. The EWR is for electricians who have been working in the industry for at least 5 years but have not formally completed an industry apprenticeship or Level 3 NVQ qualification. Successful completion of the NVQ and AM2 assessment will satisfy the entry criteria for JIB accredited Gold Card status. Bear in mind that the C&G 2391-50 and 18th Edition courses are pre-requisites to the Experienced Worker route. In case you don’t hold them, we can help you with a Pre-Experienced Worker Route package.

The NVQ Level 3 is designed to provide both new entrants and those seeking progression in their career, with the opportunity to develop the necessary skills to carry out job roles and responsibilities associated with the installation and maintenance of Electrotechnical systems. There are two options to complete the NVQ Level 3 in Electrical Installations, these are the C&G 2346 and C&G 2357. Successful completion of the NVQ and AM2 assessment will satisfy the entry criteria for JIB accredited electricians

ABOUT THIS TRAINING COURSE This course aims to help geologists, geophysicists, stratigraphers and reservoir engineers gain a thorough understanding of the concepts and practical applications of sequence stratigraphy through integration of seismic sequence stratigraphy with well log sequence stratigraphy and the application of biostratigraphy to sequence stratigraphy. The course examines the geological principles, processes and terminology related to the interpretation and use of seismic sequence stratigraphy and its integration with well log sequence stratigraphy and biostratigraphy. Concepts are illustrated with field examples of seismic, well-log, core, and outcrop data and reinforced with practical exercises using real data. Course Content in Summary: 1. Introduction to concepts, eustatic controls, seismic stratigraphy and definition of key terms. 2. Controls - eustatic and basinal controls, accommodation and equilibrium types, systems tracts and systems tract boundaries. 3. Sequences and systems tracts - highstand, falling stage, lowstand, transgressive and shelf margin systems tracts. 4. Key surfaces and their identification from well logs, core, outcrop and seismic reflections. 5. Sequence expression in well logs - log characters of parasequences, maximum flooding surfaces and criteria for picking sequence boundaries. 6. Interpretation of systems tracts from well logs - integration of well log sequence stratigraphy with seismic sequence stratigraphy. 7. Seismic expression of sequences - Interpretation of seismic reflections in depositional sequences - seismic sequence; seismic facies. 8. Clastic and carbonate depositional environments - depositional responses to changes in relative sea level. Mixed systems and evaporites. 9. Variations on the model. 10. A review of application and exploration significance. Training Objectives By the end of this course, participants will be able to: * Gain an understanding of sequence stratigraphic controls and concepts. * Recognise sequence stratigraphic surfaces, systems tracts and stratigraphic sequences on well-log cross-sections, seismic lines, and outcrop profiles and depositional facies. * Construct a sequence stratigraphic model by integrating lithological, biostratigraphical, seismic and well data. * Apply sequence stratigraphy effectively for facies predictions in exploration and production. Target Audience This course will benefit explorationists, geologists, stratigraphers and geophysicists who wish to extend their knowledge through integration of seismic sequence stratigraphy with well log sequence stratigraphy. Trainer Your expert course leader is the Geosciences Technical Director for PetroEdge. She was previously, the manager of Robertson Petroleum Training Centre and a Senior Project Scientist at Robertson CGG. She has over 20 years of experience in teaching geology and leading field trips. Prior to her 8 years at Robertson, she was in academia as a lecturer for 6 years and a Research Fellow for 3 years. She has conducted fieldwork and led field trips in the US and many areas in the UK. In addition, she has led university regional geology day schools and has comprehensive experience in course and study programme writing. She has extensive experience in delivering courses and in Clastic and Carbonate Reservoir Geology, Deepwater Turbidites, Sandstone Reservoirs, Wireline Log Interpretation, Integrated Sequence Stratigraphy, Basin Analysis and Exploration & Appraisal workshops globally. In delivering the Exploration Team Management Workshop, she has project managed and taught key principles and modules on project planning, data collection/collation, geophysical assessment, stratigraphy and facies mapping, source rock facies and hydrocarbon generation, play fairway mapping, risking and prospect evaluation. Her knowledge and enthusiasm for instructing is reflected in consistently being rated as excellent by trainees, and clients specifically requesting her participation in courses. 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 Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: * Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. * Industry data sets for participants to practice on and take home. * No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: * Understand digital oil field transformation and its impact on business * Examine machine learning methods * Review workflows and code implementations * After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: * Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level * Intermediate * Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: * Understanding of petroleum production concepts * Knowledge of Python is not a must but preferred to get the full benefit. * The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises * Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: * At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. * Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. * Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. * Developed a workshop on digital oilfield approaches for production engineers. Patents: * Principal inventor: 'Smarter Slug Flow Conditioning and Control' * Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' * Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: * Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. * He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: * Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. * Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. * Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations