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
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Efficient ways to create professional-looking diagrams, images and screenshots Cherryleaf’s elearning course on creating screenshots and images for user guides gives you the foundations for creating professional images in an efficient way. The course includes exercises and model answers for the delegates to complete and review. Why attend this course? Creating screenshots, diagrams and images is something that every technical communicator needs to do, but very few have had any formal training in how to do it. Sometimes, the result is that the user guides and online Help contain images that are unclear, inconsistent, and frankly, unprofessional. They can make the product look like it's poor quality. Creating them can also tie up the Technical Writer's time, especially if they need to be changed frequently. Who is this course for? Anyone developing user guides and online Help who wants: A foundational understanding of how to use diagrams, screenshots and images, in an effective and efficient way. To see practical, real-world examples. It’s ideal for you if you’re: Creating screenshots, diagrams or images, but you’ve never had any proper training in how to do this well. Looking for more efficient ways to create or change screenshots, diagrams or images for end user or developer documentation. We’ll take you from first principles, so all you need is a basic understanding of what is a user guide. What you'll learn Cherryleaf's e-learning course on creating screenshots and images for user guides gives you the foundations for creating professional images in an efficient way. The goal of the course is to enable you to use diagrams, images and screenshots to communicate to your audience, with a focus on simplicity and ease of understanding. This is accomplished through a mix of design theory, best practices, software, and practical application. Please note, we don’t focus on highly detailed technical illustrations or 3D drawings that you might find in the aerospace or automotive industries. Also, the course does not cover Augmented Reality or Virtual Reality. You'll go through the key stages in developing screenshots, diagrams, and other images:in developing images. You’ll learn to understand the context, choose an effective visual display method, focus the user's attention, apply design best practices, and use the appropriate software tools to communicate your message. Introduction Understand the context Choose an appropriate visual display methodScreenshotsSimplified User InterfaceDiagramsAspect ratioIconsImage mapsWordless guides Focus attention where you want itGestalt theoryWhite space Think like a designerLayoutColourAccessibilityStyle guides SoftwareSoftware toolsSVGAutomating tasksStock imagesPresentation applications Animations Summary The course contains 22 exercises (and suggested answers) for you to practice your skills. Delivery format The course comprises eight modules in total, which you can complete at your own pace. The course will take delegates approximately 1 day to complete. You will have access to the modules from the moment you subscribe. You can download the course handouts. The courses are hosted and sold by via the Teachable platform. From a VAT perspective, they are the “Merchant of Record”, and receipts contain their VAT number. You have the option of taking the course on an iPhone or iPad, using the MyTeachable app in the Apple App Store. Prerequisites We'll take you from first principles, so all you need is a basic understanding of what is a user guide. You'll need access to PowerPoint, or a similar application, in order to complete some of the exercises. And it will help if you have a copy of Snagit. Our expertise As well as teaching technical communication, we also create end-user documentation, Help and UI text for clients. This means every course is based on practical experience of technical communication in today’s environment. Your Instructor Cherryleaf Cherryleaf is a technical writing services company formed in 2002 by people with a passion for technical communication and learning development. Cherryleaf is recognised as a leader within the technical communication profession. Our staff have written articles for the Society for Technical Communication's (STC) Intercom magazine, the Institute of Scientific and Technical Communicator's Communicator journal and tekom's TCWorld magazine. They've also written books on technical communication. We've presented webinars for Adobe, Madcap Software or the STC, and we've spoken at various conferences around the world. Today, organisations throughout Europe use Cherryleaf’s services so they can provide clear information that enables users and staff to complete tasks productively. Course Curriculum First Section Introduction (2:37) Understand the context (14:22) Choose an appropriate visual display method (55:15) Focus attention where you want it (10:39) Think like a designer (32:18) Software (70:12) Animations (21:09) Summary (1:59) Answers Frequently Asked Questions When does the course start and finish? The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.How long do I have access to the course?How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.What if I am unhappy with the course?We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.
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