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Regular expressions training course description Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Python and MySQL. Regular expressions allow you to code complex and subtle text processing that you never imagined could be automated. Once you've mastered regular expressions, they'll become an invaluable part of your toolkit. You will wonder how you ever got by without them. What will you learn Use Regular Expressions. Troubleshoot Regular Expressions. Compare RE features among different versions. Explain how the regular expression engine works. Optimize REs. Match what you want, not what you don't want. Regular expressions training course details Who will benefit: Anyone looking to use regular expressions. Prerequisites: None. Duration 1 day Regular expressions training course contents Introduction to Regular Expressions Solving real problems, REs as a language, the filename analogy, language analogy, RE frame of mind, searching text files: egrep, egrep metacharacters, start and end of the line, character classes, matching any character with dot, alternation, ignoring differences in capitalization, word boundaries, optional items, other quantifiers: repetition, parentheses and backreferences, the great escape, expanding the foundation, linguistic diversification, the goal of a RE, more examples, RE nomenclature, Improving on the status quo. Extended introductory examples A short introduction to Perl, matching text with regular expressions, toward a more real-world example, side effects of a successful match, Intertwined regular expression, intermission, modifying text with regular expressions, example: form letter, example: prettifying a stock price, automated editing, a small mail utility, adding commas to a number with lookaround, text-to-HTML conversion, that doubled-word thing. Regular expression features and flavours The regex landscape, origins of REs, care and handling of REs, Integrated handling, procedural and object-oriented handling, search-and-replace example. strings character encodings and modes, strings as REs, character-encoding issues, unicode, regex modes and match modes, common metacharacters and features, character representations, character classes and class-like constructs, anchors and other 'zero-width assertions', comments and mode modifiers, grouping capturing conditionals and control. The mechanics of expression processing Two kinds of engines, new standards, regex engine types, from the department of redundancy department, testing the engine type, match basics, about the examples, rule 1: the match that begins earliest wins, engine pieces and parts, rule 2: the standard quantifiers are greedy, regex-directed versus text-directed, NFA engine: regex-directed, DFA engine: text-directed, first thoughts: NFA and DFA in comparison, backtracking, two important points on backtracking, saved states, backtracking and greediness, more about greediness and backtracking, problems of greediness, multi-character 'quotes', lazy quantifiers, greediness and laziness, laziness and backtracking, possessive quantifiers and atomic grouping, possessive quantifiers ?, +, *+, ++ and {m,n}+, the backtracking of lookaround, is alternation greedy? taking advantage of ordered alternation, NFA DFA and posix, the longest-leftmost', posix and the longest-leftmost rule, speed and efficiency. Practical regex techniques Continuation lines, matching an IP address, working with filenames, matching balanced sets of parentheses, watching out for unwanted matches, matching delimited text, knowing your data and making assumptions, stripping leading and trailing whitespace, matching and HTML tag, matching an HTML link, examining an HTTP URL, validating a hostname, plucking a hostname, plucking a URL, parsing CSV files. Crafting an efficient expression Efficiency vs. correctness, localizing greediness, global view of backtracking, more work for POSIX NFA, work required during a non-match, being more specific, alternation can be expensive, benchmarking, know what you re measuring, benchmarking with Python, common optimisations, the mechanics of regex application, pre-application optimizations, optimizations with the transmission, optimization of the regex itself, techniques for faster expressions, common sense techniques, expose literal text, expose anchors, lazy versus greedy: be specific, split into multiple REs, mimic initial-character discrimination, use atomic grouping and possessive quantifiers, lead the engine to a match, unrolling the loop, observations, using atomic grouping and possessive quantifiers, short unrolling examples, unrolling C comments, the free flowing regex, a helping hand to guide the match, a well-guided regex is a fast regex.

About this Virtual Instructor Led Training (VILT) Governments, regulators and energy companies are pursuing CO2 storage technologies to meet their net-zero carbon commitments as well as targets set by the international Paris Agreement on climate change. For successfully executing Carbon Capture & Storage (CCS) projects, various technical, operational, economic and environmental risks and associated stakeholders need to be managed. In this 5 half-day Virtual Instructor Led Training (VILT) course, the methods for managing risk in CCS projects are addressed with a focus on CO2 injection and storage. The VILT course will also demonstrate how to assess storage capacity of a potential CO2 storage reservoir, model framing techniques, and well injectivity issues related to CO2 injection. The potential leak paths will be discussed such as reservoir seals, leakage along faults and aspects of well integrity. In the VILT course, the design of a monitoring programme will also be discussed. The VILT course will be supported by various case studies. This VILT course will cover the following modules: CCS projects in an international context Site selection and site characterization Storage capacity assessment Injectivity assessment Containment assessment Measurement, monitoring & verification Training Objectives On completion of this VILT course, participants will be able to: Uncover the functions and associated components required to capture, transport and store CO2 in subsurface aquifers and (depleted) hydrocarbon reservoirs Find a systematic and integrated approach to risk identification and assessment for CO2 storage projects (maturation) Appreciate the requirements (physics modelling) and uncertainties to assess the CO2 storage capacity of a selected site. Understand the challenges, data and methods to assess CO2 well injectivity and well integrity Identify the leakage pathways of a selected storage site, and understand the assessment methods and associated uncertainties Learn how to design a monitoring program Target Audience This VILT course is intended for all surface and subsurface engineers such as facility engineers, geologists, geophysicists, reservoir engineers, petrophysicists, production technologists/engineers, well engineers and geomechanical specialists. Also, (sub)surface team leads, project managers, business opportunity managers, decision executives, and technical risk assessment & assurance specialists will benefit from this VILT course as it provides a common framework and workflow to develop a CCS project. For each class, it is highly recommended that a mix of disciplines mentioned above are represented to facilitate discussions from different perspectives. Course Level Basic or Foundation Training Methods This VILT course is built around cases in which teams work to identify and assess CO2 storage site issues using a systematic thought approach in this course. In addition, exercises are used to practise the aspects of the CCS risk assessment process. The VILT course provides a venue for discussion and sharing of good practices as well as opportunities to practise multi-discipline co-operation and facilitation. Participants are encouraged to bring their own work issues and challenges and seek advice from the expert course leaders and other participants about all aspects of CCS. This VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Trainer Trainer 1: Your expert course leader has more than 36 years of experience in the oil & gas industry with Shell. He gained broad experience in petroleum engineering, with expertise in integrated production systems from subsurface, wells and surface. He has had assignments in Production Technology, R&D, Production Chemistry, Rock Mechanics and Reservoir Engineering cEOR, with a proven track record in technology screening, development and deployment, field development planning, conceptual well design and Production System Optimization (PSO) of gas and oil fields as well as preparing Well, Reservoir & Facility Management (WRFM) strategies and plans. He had also worked on assignments in NAM and did fieldwork in Oman, Gabon and Shell Nigeria. He is a skilled workshop facilitator. He discovered his passion for teaching following an assignment in Shell Learning. During his time in Shell, he developed and taught technical courses to Shell professionals via blended learning. Trainer 2: Your second expert course leader has over 30 years of experience identifying, assessing and mitigating technical risks with Shell. The main focal point of his experience is in subsurface and Geomechanical risks. He is the the founding father of various innovations in how we assess risks by tool development (for bore hole stability, 3D geomechanical field evaluations and probabilistic assessment). He also developed an eye for people motivation, change management and facilitation. He was also responsible for the Geomechanical competence framework, and associated virtual and classroom training programme in Shell for 10 years. Trainer 3: Your third expert course leader has more than 30 years of experience in Shell, focusing on research and development in drilling and offshore systems. His areas of expertise is in project management, finance, business planning, investment, development studies and economics models. In 2021, he worked on a project that looked into the economic evaluation of P18A field complex for CO2 storage. He has an MSc in Mechanical Engineering (M.E.) TU Delft Netherlands (Hons) and a baccalaureate from Erasmus University Rotterdam. 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

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