109 Courses

About this Training Course Well engineers who are responsible for technically evaluating and authorizing programs for drilling or working over wells must have the required skills and competencies to safely design wells of varying nature. They also need to be able to confirm that well delivery and intervention programs generate intrinsic well control assurance. Such work programs must establish, verify, monitor and maintain suitable and sufficient barriers for the entire well lifecycle - from spud to abandonment. Well engineers must also be able to select a suitable drilling or workover rig, capable of safely performing the work within its operational envelope. This 3 full-day course aims to further develop and assess the knowledge required to work on and eventually, authorize a well delivery program as deemed fit for purpose. It also addresses elements of well control that must be embedded into well design, well work programming and equipment selection. This course is intended for participants who already have a sound understanding of the principles of the design and/or delivery of wells and with more than 3 years of relevant industry experience. Training Objectives By the end of this course, participants will be able to: Feel confident to design and plan drilling and workover activities while considering geological risks, formation pressures/strengths, and any integrity or well control concerns. Monitor wells operations and ensure that they can and will remain within the accepted design envelope. Assess risks and then apply mitigation or recovery methods in cases where design envelopes are threatened. Participants should be capable of assessing a drilling or workover program and then be able to answer the following key questions: Does the program delivery have a sound design and work plan that allows the well(s) to be drilled or worked over safely? Have we determined the appropriate kick tolerance for each open hole section and is it realistic for all drilling hazards that may be encountered? Have all drilling hazards been suitably assessed, and the associated risk mitigated to a level as low as reasonably practicable? Are there adequate, verifiable barriers in place throughout the operation and does everybody know their role and responsibility? And, as applicable, is the selected rig capable of implementing the work program? Target Audience This course is intended for personnel directly or indirectly involved in the preparation, review or authorization of drilling and workover programs. This includes: Well engineers and drilling supervisors who are responsible for planning and executing drilling and workover operations. Contractor well engineers, rig managers and other senior drilling staff. Senior well engineers and rig superintendents who are responsible for managing the delivery of a project or well. Technical authority holders who are responsible for licensing drilling and workover operations from a regulatory perspective. Assessment: A satisfactory command of critical knowledge and skills is assured by a 1+ hour closed book assessment. This assessment has a mix of multiple-choice questions (MCQs), calculations and answers that must be written up. The exam is taken electronically. Participants are provided with a suitable formula sheet. The pass mark for issuing a certificate is 70% and participants who are not successful will be issued with a certificate of attendance instead. Trainer Your expert course leader has over 45 years of experience in the Oil & Gas industry. During that time, he has worked exclusively in the well engineering domain. After being employed in 1974 by Shell, one of the major oil & gas producing operators, he worked as an apprentice on drilling rigs in the Netherlands. After a year, he was sent for his first international assignment to the Sultanate of Oman where he climbed up the career ladder from Assistant Driller, to Driller, to wellsite Petroleum Engineer and eventually on-site Drilling Supervisor, actively engaged in the drilling of development and exploration wells in almost every corner of this vast desert area. At that time, drilling techniques were fairly basic and safety was just a buzz word, but such a situation propels learning and the fruits of 'doing-the-basics' are still reaped today when standing in front of a class. After some seven years in the Middle East, a series of other international assignments followed in places like the United Kingdom, Indonesia, Turkey, Denmark, China, Malaysia, and Russia. Apart from on-site drilling supervisory jobs on various types of drilling rigs (such as helicopter rigs) and working environments (such as jungle and artic), he was also assigned to research, to projects and to the company's learning centre. In research, he was responsible for promoting directional drilling and surveying and advised on the first horizontal wells being drilled, in projects, he was responsible for a high pressure drilling campaign in Nigeria while in the learning centre, he looked after the development of new engineers joining the company after graduating from university. He was also involved in international well control certification and served as chairman for a period of three years. In the last years of his active career, he worked again in China as a staff development manager, a position he nurtured because he was able to pass on his knowledge to a vast number of new employees once again. After retiring in 2015, he has delivered well engineering related courses in Australia, Indonesia, Brunei, Malaysia, China, South Korea, Thailand, India, Dubai, Qatar, Kuwait, The Netherlands, and the United States. The training he provides includes well control to obtain certification in drilling and well intervention, extended reach drilling, high pressure-high temperature drilling, stuck pipe prevention and a number of other ad-hoc courses. He thoroughly enjoys training and is keen to continue taking classes as an instructor for some time to come. 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

Dive deep into well integrity management with EnergyEdge's classroom training. Take your skills to the next level today!

About this Training Course This intensive 5 full-day has been designed as a separately bookable course comprising 3 days of Well Integrity (Basic) and 2 days of Advanced Well Integrity. The intensive 3 full-day course will equip the participants with a thorough knowledge of well integrity management and risk assessment in producing assets. Based on the regulatory requirements and using real examples and exercises from around the world, this represents best practice integrity management within the oil and gas industry. When to take action with a well is a critical decision, both from a safety and economic perspective. A consistent approach to decision-making provides certainty within the organisation, focusing effort, and spending wisely. The decision-making steps will be set out to ensure all critical aspects are captured consistently. Risk analysis approaches used by different organisations and examples of risk management and risk-ranking methods will be discussed. The 2 full-day course will deepen the participants' knowledge of well integrity management, and skills for designing, operating, and maintaining well equipment. The ultimate goal is to optimise productivity at the lowest Unit Operating Cost (UOC) and to maintain mechanical integrity throughout well life cycle. Well Integrity management is looked at in three distinct stages. The first stage is during the well design which includes material selection, engineering design, cement design, coating and inhibitors and cathodic protection. The second stage is monitoring the well during the life of the well, locating possible leaks and / or loss of metal. The last stage is to manage and control any well integrity issues using specialised products, services and techniques. Training Objectives 1. Well Integrity Training: Upon completion of this course, the participants will be able to: Define the building blocks of a successful well integrity management system Develop an approach to risk management, understand risk analysis and methods applied across the industry How do we 'Make Wells Safer', learn about emerging technologies for well integrity problem diagnosis and new techniques available to 'repair' the issues Execute the basic elements of well integrity management training for field operators Evaluate well design elements that enhance or hinder well integrity status definition during the operating phase of the well life-cycle Gain the demonstrable benefits of well integrity management from field experience Review cases studies and discuss them to enhance knowledge and take on board lessons learned 2. Advanced Well Integrity: Define well integrity well categorization based on compliance to the barrier policy outlined in the regulations and develop an approach to risk management Discuss well-completion design and construction to create a 'integer' well with the lowest life cycle maintenance cost from a WIM perspective Monitoring and surveillance of well integrity, focusing on barrier competence such as cementing and corrosion Investigate and manage well integrity issues, causes & potential solutions Understand repairs needed to address 'Loss of Well Operating Envelope' Gain an overview understanding of Well Suspension & Well Abandonment Discuss further case studies as well as conduct a post course test Target Audience Invaluable for production, operations, and integrity professionals involved in implementing & managing well integrity and seeking to improve performance. It is also essential for those who need to develop and implement such systems, or who have a general need to know and understand more about well integrity management. The course will also provide a fresh approach for senior professionals and managers. Designed for professionals in the oil and gas industry who are involved in the design, construction and operation of wells from the following disciplines: Production Maintenance Production Operations Drilling Engineering Safety engineering Well Intervention Well Integrity Engineering Asset Management Course Level Intermediate Advanced Trainer Gordon Duncan has over 40 years of experience in the Oil & Gas industry. During that time, he has worked exclusively in well intervention and completions. After a number of years working for intervention service companies (completions, slickline & workovers), he joined Shell as a well service supervisor. He was responsible for the day-to-day supervision of all well intervention work on Shell's Persian/Arabian Gulf platforms. This included completion running, coil tubing, e-line, slickline, hydraulic workovers, well testing and stimulation operations. An office-based role as a senior well engineer followed. He was responsible for planning, programming and organising of all the well engineering and intervention work on a number of fields in the Middle East. He had a brief spell as a Site Representative for Santos in Australia before joining Petro-Canada as Completions Superintendent in Syria, then moved to Australia as Completions Operations Superintendent for Santos, before returning to Shell as Field Supervisor Completions and Well Interventions in Iraq where he carried out the first ever formal abandonment of a well in the Majnoon Field. While working on rotation, he regularly taught Completion Practices, Well Intervention, Well Integrity and Reporting & Planning courses all over the world. In 2014, he started to focus 100% on training and became the Technical Director for PetroEDGE. Since commencing delivering training courses in 2008, he has taught over 300 courses in 31 cities in 16 countries to in excess of 3,500 participants. 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

Dive deep into well integrity management with EnergyEdge's classroom training. Take your skills to the next level today!

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Dive into the world of coiled tubing operations, equipment, well control, safety, and emerging technologies with EnergyEdge's comprehensive classroom training course. Enroll now to stay ahead.

Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune