262 Roman courses

Discover the intricacies of integrated field development planning through EnergyEdge's expert led course. Enroll now!

This recording package is for individuals who did not attend the Rethinking Museums live event. If you attended online on 5 February and would like to upgrade your ticket to include a recording, please click here. Since the end of the pandemic, children, young people and families have faced a barrage of challenges to their standard of living, wellbeing, family life and place within society. Our conference will focus on how museums can become welcoming and accessible spaces that enable all children, young people and families to socialise, relax, play, work and learn. The three key themes of the conference are: Family Against the background of a slow post-Covid recovery and ingrained inequalities of access amongst museum audiences, we will share examples of museum programmes that have successfully welcomed children, young people and families who have historically been excluded. Often these new audiences have found a sense of safety and belonging in their local museums and become less isolated. Society In an increasingly polarised world where online disinformation proliferates, museums have a vital role in enabling people to build empathy and explore social justice issues. Work in this space helps museums remain relevant to younger audiences and helps them feel more optimistic about the future. Careers As the number of museum traineeships and apprenticeships are shrinking, so are the routes into a career in heritage. We’ll explore programmes that are opening up the museum workforce and enabling a wider group of young people to find meaningful work and build skills and confidence for future employment. You can read all about the conference and see the schedule on our website. About the recording The recording will include all of the conference sessions. You will receive the recordings approximately six weeks after the conference. You will be able to watch the recordings for six months from the date of the conference. All of the sessions will be captioned.

Unlock the potential of cross-border electricity trading in Southeast Asia with EnergyEdge. Explore our comprehensive training program for industry professionals.

Enhance your forecasting skills with EnergyEdge's Advanced Load Forecasting Methodology course. Join our classroom training for expert insights.

Explore cutting-edge power system training with EnergyEdge. Learn about integrating solar, storage, and DERs for efficient energy management. Enroll now!

Enhance your knowledge of natural gas and LNG sales agreements with EnergyEdge course. Enroll now to gain valuable industry knowledge and skills.

Enhance your skills in data analytics for artificial lift production and facility engineering with EnergyEdge's course. Sign up now!

Gain a deep understanding of Production Sharing Contracts (PSC) and related agreements through our expert-led course. Enroll now and excel in your field with EnergyEdge.

In this course, we will build a 3D model of a medieval windmill. Our main goal will be to use Blender to create realistic and completely functional windmill subcomponents, which will include a complex set of wooden supports, balconies, steps, a waterwheel, and windmill arms, and then export them to Unreal Engine 5.

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