3811 Engineer courses in Aberystwyth delivered Online

About this Training Course  This five-day course provides an intermediate level of understanding of the geomechanical factors that affect wellbore instability, sand production and hydraulic fracture design. The course is structured such that upon completion, participants will have understood the value that geomechanics can bring to drilling, completion and production operations and will be able to leverage this value wherever it applies. The course emphasis will be on integrating the topics presented through a combination of lectures, case-studies and hands-on exercises. A special focus will be on how geomechanics knowledge is extracted from routinely acquired well data and how it is applied in the prediction and prevention of formation instability. Course Highlights The course is essentially non-mathematical and makes wide use of diagrams, pictures and exercises to illustrate the essential concepts of geomechanics Essential Rock Mechanics Principles Wellbore Stability Analysis Anisotropic Rock Properties for unconventional projects Lost Circulation and Wellbore Strengthening applications Sand Production Management Input to Hydraulic Fracture design Salt instability Training Objectives By attending this training, you will be able to acquire the following: Apply the basic concepts of geomechanics to identify, predict and mitigate against formation instability during drilling, completion and production Target Audience This course is intended for Drilling Engineers, Well Engineers, Production Technologists, Completion Engineers, Well Superintendents, Directional Drillers, Wellsite Supervisors and others, who wish to further their understanding of rock mechanics and its application to drilling and completion. There is no specific formal pre-requisite for this course. However, attendees are requested to have been exposed to drilling, completions and production operations in their positions and to have a recommended minimum of 3 years of field experience. Trainer Your Expert Course Instructor is an operational geomechanics advisor with over 46 years of experience in exploration, development and production in the upstream oil and gas industry. After obtaining a BSc (Hons) Physics degree from Aberdeen University, he worked for a variety of oil service companies in wireline operations, management and formation evaluation, before joining Schlumberger in 1995. Since 2000 he has worked principally in real-time geomechanics operations and developing acousto-geomechical applications, taking on the role of geomechanics advisor and technical manager within the Europe-Africa area of operations. Before forming his own company in 2014, Your Expert Course Instructor was one of Schlumberger's principal instructors, delivering cross-discipline internal and external geomechanics training to petrophysicists, geologists, reservoir, petroleum, well construction and drilling engineers at operating company locations, training centers and operational centers worldwide. Through extensive operational and wellsite experience gained in the North Sea, Europe, Africa, South America and the Far East, he has gained a broad based knowledge of drilling, production, log data acquisition, analysis and interpretation that has allowed him to develop and deliver pragmatic solutions to the geomechanical challenges of drilling, sand production, fracturing and unconventional reservoirs, faced by operators. His principal interests include the development and application of acousto-geomechanical techniques for the evaluation of anisotropic formations and fracture systems and the identification and prevention of wellbore instability 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

About this training course Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Understanding of these important production concepts is a must have to exploit the existing assets profitably. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses Easily recognize the different components from downhole to the surface and their basic structural and operational features Design and analyze different components using appropriate software tools Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization Learn about use cases of Machine learning and artificial intelligence in the artificial lift Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course. Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 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. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. 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

Learners will develop knowledge of FD&FA systems and apply this to the provision of detection and electrical actuation for gas extinguishing systems.

Duration 5 Days 30 CPD hours This course is intended for System administrators System engineers Overview By the end of the course, you should be able to meet the following objectives: Install and configure ESXi hosts Deploy and configure vCenter Use the vSphere Client to create the vCenter inventory and assign roles to vCenter users Create virtual networks using vSphere standard switches and distributed switches Create and configure datastores using storage technologies supported by vSphere Use the vSphere Client to create virtual machines, templates, clones, and snapshots Create content libraries for managing templates and deploying virtual machines Manage virtual machine resource allocation Migrate virtual machines with vSphere vMotion and vSphere Storage vMotion Create and configure a vSphere cluster that is enabled with vSphere High Availability (HA) and vSphere Distributed Resource Scheduler Manage the life cycle of vSphere to keep vCenter, ESXi hosts, and virtual machines up to date This five-day course features intensive hands-on training that focuses on installing, configuring, and managing VMware vSphere 8, which includes VMware ESXi 8 and VMware vCenter 8. This course prepares you to administer a vSphere infrastructure for an organization of any size. This course is the foundation for most VMware technologies in the software-defined data center. Course Introduction Introductions and course logistics Course objectives vSphere and Virtualization Overview Explain basic virtualization concepts Describe how vSphere fits in the software-defined data center and the cloud infrastructure Recognize the user interfaces for accessing vSphere Explain how vSphere interacts with CPUs, memory, networks, storage, and GPUs Installing and Configuring ESXi Install an ESXi host Recognize ESXi user account best practices Configure the ESXi host settings using the DCUI and VMware Host Client Deploying and Configuring vCenter Recognize ESXi hosts communication with vCenter Deploy vCenter Server Appliance Configure vCenter settings Use the vSphere Client to add and manage license keys Create and organize vCenter inventory objects Recognize the rules for applying vCenter permissions View vCenter logs and events Configuring vSphere Networking Configure and view standard switch configurations Configure and view distributed switch configurations Recognize the difference between standard switches and distributed switches Explain how to set networking policies on standard and distributed switches Configuring vSphere Storage Recognize vSphere storage technologies Identify types of vSphere datastores Describe Fibre Channel components and addressing Describe iSCSI components and addressing Configure iSCSI storage on ESXi Create and manage VMFS datastores Configure and manage NFS datastores Deploying Virtual Machines Create and provision VMs Explain the importance of VMware Tools Identify the files that make up a VM Recognize the components of a VM Navigate the vSphere Client and examine VM settings and options Modify VMs by dynamically increasing resources Create VM templates and deploy VMs from them Clone VMs Create customization specifications for guest operating systems Create local, published, and subscribed content libraries Deploy VMs from content libraries Manage multiple versions of VM templates in content libraries Managing Virtual Machines Recognize the types of VM migrations that you can perform within a vCenter instance and across vCenter instances Migrate VMs using vSphere vMotion Describe the role of Enhanced vMotion Compatibility in migrations Migrate VMs using vSphere Storage vMotion Take a snapshot of a VM Manage, consolidate, and delete snapshots Describe CPU and memory concepts in relation to a virtualized environment Describe how VMs compete for resources Define CPU and memory shares, reservations, and limits Deploying and Configuring vSphere Clusters Create a vSphere cluster enabled for vSphere DRS and vSphere HA View information about a vSphere cluster Explain how vSphere DRS determines VM placement on hosts in the cluster Recognize use cases for vSphere DRS settings Monitor a vSphere DRS cluster Describe how vSphere HA responds to various types of failures Identify options for configuring network redundancy in a vSphere HA cluster Recognize vSphere HA design considerations Recognize the use cases for various vSphere HA settings Configure a vSphere HA cluster Recognize when to use vSphere Fault Tolerance Managing the vSphere Lifecycle Enable vSphere Lifecycle Manager in a vSphere cluster Describe features of the vCenter Update Planner Run vCenter upgrade prechecks and interoperability reports Recognize features of vSphere Lifecycle Manager Distinguish between managing hosts using baselines and managing hosts using images Describe how to update hosts using baselines Describe ESXi images Validate ESXi host compliance against a cluster image and update ESXi hosts Update ESXi hosts using vSphere Lifecycle Manager Describe vSphere Lifecycle Manager automatic recommendations Use vSphere Lifecycle Manager to upgrade VMware Tools and VM hardware

About this Training Course This 3 full-day course will provide insights into many aspects of operating the modern refinery as a business. This will include technical information on refining processes, crude oils and processing options, the place of the refinery in the value chain, refinery cost structure and management, optimization and profit margin, energy and oil loss reduction. This course will also address important management tools and techniques used for economic evaluations in refineries including future trends. This course will include presentations, simulations, a trading game, and exercises. This is an interactive session where participants can propose relevant topics upfront to discuss during class. This course can be further tailored for inexperienced or experienced personnel. Further customization can also include addressing a specific refinery, plant or unit. The option for post-course consultancy or help-desk support is also available. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives By participating in this highly intensive course, participants will be able to: Understand the main functions in refining processes, configurations and its operating characteristics Analyse the choice of crude, processing options and desired products and product quality parameters Closely review refinery economics and planning, margins, costing & valuation including trading Apply the methodology of refinery optimization and product improvement Gain an application of analytical tools to refinery management, supply chain and their economic drivers Appreciate the current challenges, opportunities and future trends impacting the refining industry Target Audience This course will benefit all refinery technical personnel, operations' process engineers and process managers, technical services engineers and managers, refinery planners, newly-hired refinery personnel and current semi-technical personnel who require introductory training to acquire the broader perspective of refinery economics and supply. Course Level Basic or Foundation Trainer Your expert course leader is a passionate world-class expert with 35 years of international experience in Crude Oil, Refinery Planning and Masterplanning, Process Modelling, LP Modelling and Optimization Best Practices. He has a sound understanding of refinery processes and economics. After retiring from Shell in 2020, he is now a principal consultant for Crude Oil & Refinery Modelling. He enjoys dealing with challenging technical problems and opportunities to deliver value through practical solutions. He has a hands-on mentality, is flexible and builds strong relationship with clients. During his career, he coached many engineers and delivered countless inhouse and external courses on crude oil, hydrocracking and general refinery processes and economics at the Shell Open University and many other client locations. He authored and co-authored several publications and presentations at international conferences and has three patents to his name. He understands how to deliver outstanding services in sometimes difficult cultural and commercial situations, having worked for clients around the world. He works effectively in multi-disciplinary teams, has strong analytical and problem-solving skills as well as excellent consulting, facilitation and interpersonal and multilingual skills. He has an MSc in Chemical & Agricultural Engineering (cum laude) and a BSc in Chemical & Agricultural Engineering from the University Ghent, Belgium. He is currently the Principal Consultant for Crude Oil & Refinery Modeling at Petrogenium, the international, independent, technical consultancy in oil refining, petrochemicals, oil & gas production & renewable resources. 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

Duration 5 Days 30 CPD hours This course is intended for Data Warehouse Administrator Database Administrators Support Engineer Technical Administrator Technical Consultant Overview Use Oracle Flashback Technologies to recover from human error Use Recovery Manager (RMAN) to create backups and perform recovery operations Use the Data Recovery Advisor to diagnose and repair failures Plan effective backup and recovery procedures Describe the Oracle Database architecture components related to backup and recovery operations Perform an encrypted database backup and restore Perform tablespace point-in-time recovery Configure the database for recoverability Describe Cloud Tooling for Backup and Recovery Describe Oracle Database backup methods and recovery operations that can be used to resolve database failure In this Oracle Database 12c R2: Backup and Recovery Workshop, students learn how to perform backup and recovery based on the related Oracle Database architecture components. Various backup, failure, restore, and recovery scenarios are provided so that students learn to evaluate their own recovery requirements and develop an appropriate strategy for backup and recovery procedures. This course includes an interactive workshop, with scenarios that provide participants with opportunities to diagnose and recover from several failure situations. Introduction Curriculum Context Assess your recovery requirements Categories of failures Oracle backup and recovery solutions Oracle Maximum Availability Architecture Oracle Secure Backup Benefits of using Oracle Data Guard Basic Workshop Architecture Getting Started Core Concepts of the Oracle Database, critical for Backup and Recovery Oracle DBA Tools for Backup and Recovery Connecting to Oracle Recovery Manager (RMAN) Configuring for Recoverablility RMAN commands Configuring and managing persistent settings Using the Fast Recovery Area (FRA) Control File Redo Log File Archiving Logs Using the RMAN Recovery Catalog Creating and Configuring the Recovery Catalog Managing Target Database Records in the Recovery Catalog Using RMAN Stored Scripts Maintaining and Protecting the Recovery Catalog Virtual Private Catalogs Backup Strategies and Terminology Backup Solutions Overview and Terminology Balancing Backup and Restore Requirements Backing Up Read-Only Tablespaces Data Warehouse Backup and Recovery: Best Practices Additional Backup Terminology Performing Backups RMAN Backup Types Incrementally Updated Backups Fast Incremental Backup Block Change Tracking Oracle-Suggested Backup Reporting on Backups Managing Backups Improving Your Backups Compressing Backups Using a Media Manager Backup and Restore for Very Large Files Creating RMAN Multi-section Backups, Proxy Copies, Duplexed Backup Sets and Backups of Backup Sets Creating and Managing Archival Backups Backing Up Recovery Files Backing Up the Control File to a Trace File Cataloging Additional Backup Files Using RMAN-Encrypted Backups Creating RMAN-Encrypted Backups Using Transparent-Mode Encryption Using Password-Mode Encryption Using Dual-Mode Encryption Diagnosing Failures Reducing Problem Diagnosis Time Automatic Diagnostic Repository Data Recovery Advisor Handling Block Corruption Restore and Recovery Concepts Restoring and Recovering Instance Failure and Instance/Crash Recovery Media Failure Complete Recovery (Overview) Point-in-Time Recovery (Overview) Recovery with the RESETLOGS Option Performing Recovery, Part I RMAN Recovery in NOARCHIVELOG Mode Performing Complete Recovery (of critical and noncritical data files) Restoring ASM Disk Groups Recovery with Image Files Performing Point-in-Time (PITR) or Incomplete Recovery Performing Recovery, Part II Recovery of Server Parameter File, Control File (One and All) Redo Log File Loss and Recovery Password Authentication File Re-creation Index, Read-Only Tablespace, and Temp file Recovery Restoring the Database to a New Host Disaster Recovery Restoring RMAN Encrypted Backups RMAN and Oracle Secure Backup Oracle Secure Backup Overview and Interface Options RMAN and OSB: Overview and Basic Process Flow Starting with Oracle Secure Backup Configuring Oracle Secure Backup for RMAN RMAN Backup and Restore Operations Oracle Secure Backup Jobs Displaying OSB log files and transcripts for RMAN activities Using Flashback Technologies Flashback Technology: Overview and Setup Using Flashback Technology to Query Data Flashback Table Flashback Transaction (Query and Back out) Flashback Drop and the Recycle Bin Flashback Data Archive Using Flashback Database Flashback Database Architecture Configuring Flashback Database Performing Flashback Database Best Practices for Flashback Database Transporting Data Transporting Data Across Platforms Transporting Data with Backup Sets Database Transport: Using Data Files Performing Point-in-Time Recovery When to use TSPITR TSPITR Architecture Performing RMAN TS Point-in-time Recovery Recovering Tables from Backups Duplicating a Database Using a Duplicate Database Duplicating Database with 'push' and 'pull' techniques Choosing Database Duplication Techniques Creating a Backup-up Based Duplicate Database Understanding the RMAN Duplication Operation RMAN Troubleshooting and Tuning Interpreting RMAN Message Output Tuning Principles Diagnosing Performance Bottlenecks RMAN Multiplexing Restore and Recovery Performance Best Practices Cloud Tooling for Backup and Recovery Backup Destinations Customize Backup Configuration On-Demand Backup and Recovery Oracle Backup Cloud Service Installing the Backup Module Backup and Recovery Workshop Workshop Structure and Approach Business Requirements for Database Availability and Procedures Diagnosing the Failures

This course is designed to equip electrical engineers with the essential knowledge and tools to analyse and mitigate short-circuit faults in High Voltage three-phase systems. Under expert guidance and hands-on exercises, you will develop the expertise to assess short-circuit conditions and design effective protection schemes for HV three-phase systems. This Course At A Glance Accredited by CPD UK Understand system modelling Know Asymmetrical three-phase fault analysis Understand transformers and per unit analysis Know change of base Understand per unit analysis Learn short-circuit and fault analysis Understand per phase analysis Know symmetrical components Short Circuit Analysis for HV Three Phase Systems Course Overview This short-circuit analysis for short-circuit analysis for HV three-phase systems course is crafted for those who want to upgrade their knowledge in asymmetrical three-phase fault analysis, system modelling, and transformers. You will learn everything about per-phase analysis, per-unit analysis, and change of base. This online course will teach you basic concepts of fault studies on a high voltage three-phase system, methods of system faults, and the ability to analyse faults using symmetrical components. By the end of the course, you will have a solid understanding of the high-voltage three-phase systems, per phase analysis, symmetrical components, and system modelling. Who should take this course? This short-circuit analysis for HV three-phase systems course is suitable for those who want to have deep knowledge in system modelling, understand basic concepts of fault studies on a high-voltage three-phase system and symmetrical components. Entry Requirements There are no academic entry requirements for this short-circuit analysis for HV three-phase systems course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This short-circuit analysis for HV three-phase systems course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Course Curriculum Introduction Ch - 00 Introduction to Short Circuit Analysis for HV Three Phase Systems course Ch - 01 Short Circuit _ Fault Analysis Overview Ch - 02 Per Phase Analysis Ch - 03 Per Unit Analysis Ch - 04 Change of Base Ch - 05 Transformers & Per Unit Analysis Ch - 06 Symmetrical Components Ch - 07 Asymmetrical Three Phase Fault Analysis Ch - 08 System Modeling Assessment Assessment - Short Circuit Analysis for HV Three Phase Systems Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Certificate of Achievement Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35.   FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Learners will develop knowledge from the FD&FA foundation module and/or industry experience and apply this to the commissioning, handover, and acceptance of FD&FA systems.

About this training course Gas-lift is one of the predominant forms of artificial lift used for lifting liquids from conventional, unconventional, onshore and offshore assets. Gas-lift and its various forms (intermittent lift, gas-assisted plunger lift) allows life of well lift-possibilities when selected and applied properly. This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts. This training course covers main components such as application envelope, relative strengths and weaknesses of gas-lift and its different forms like intermittent lift, gas-assisted plunger lift. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the fundamental theories and procedures related to Gas-Lift operations Easily recognize the different components of the gas-lift system and their basic structural and operational features Be able to design a gas-lift installation Comprehend how digital oilfield tools help address ESP challenges Examine recent advances in real-time approaches to the production monitoring and lift management Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about implications of gas-lift systems for their fields and reservoirs Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 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. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. 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

Dive deep into the vast realm of Python data science with our meticulously crafted course: 'Python Data Science with Numpy, Pandas and Matplotlib'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you. Learning Outcomes Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries. Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays. Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning. Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities. Create visually striking and informative graphs using the power of Matplotlib. Why buy this Python Data Science with Numpy, Pandas and Matplotlib course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Python Data Science with Numpy, Pandas and Matplotlib there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Python Data Science with Numpy, Pandas and Matplotlib course for? Beginners eager to jumpstart their journey in Python data science. Analysts looking to enhance their data manipulation skills using Python. Statisticians keen on expanding their toolset with Python-based libraries. Data enthusiasts desiring a deep dive into Python's data libraries and structures. Professionals aiming to upgrade their data visualisation techniques. Prerequisites This Python Data Science with Numpy, Pandas and Matplotlib does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Data Science with Numpy, Pandas and Matplotlib was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Scientist: £40,000 - £80,000 Python Developer: £35,000 - £70,000 Data Analyst: £30,000 - £55,000 Business Intelligence Analyst: £32,000 - £60,000 Research Analyst: £28,000 - £52,000 Data Visualization Engineer: £33,000 - £65,000 Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:09:00 Introduction to Python, Pandas and Numpy Introduction to Python, Pandas and Numpy 00:07:00 System and Environment Setup System and Environment Setup 00:08:00 Python Strings Python Strings - Part 1 00:11:00 Python Strings - Part 2 00:09:00 Python Numbers and Operators Python Numbers and Operators - Part 1 00:06:00 Python Numbers and Operators - Part 2 00:07:00 Python Lists Python Lists - Part 1 00:05:00 Python Lists - Part 2 00:06:00 Python Lists - Part 3 00:05:00 Python Lists - Part 4 00:07:00 Python Lists - Part 5 00:07:00 Tuples in Python Tuples in Python 00:06:00 Sets in Python Sets in Python - Part 1 00:05:00 Sets in Python - Part 2 00:04:00 Python Dictionary Python Dictionary - Part 1 00:07:00 Python Dictionary - Part 2 00:07:00 NumPy Library - Introduction NumPy Library Intro - Part 1 00:05:00 NumPy Library Intro - Part 2 00:05:00 NumPy Library Intro - Part 3 00:06:00 NumPy Array Operations and Indexing NumPy Array Operations and Indexing - Part 1 00:04:00 NumPy Array Operations and Indexing - Part 2 00:06:00 NumPy Multi-Dimensional Arrays NumPy Multi-Dimensional Arrays - Part 1 00:07:00 NumPy Multi-Dimensional Arrays - Part 2 00:06:00 NumPy Multi-Dimensional Arrays - Part 3 00:05:00 Introduction to Pandas Series Introduction to Pandas Series 00:08:00 Introduction to Pandas Dataframes Introduction to Pandas Dataframes 00:07:00 Pandas Dataframe conversion and drop Pandas Dataframe conversion and drop - Part 1 00:06:00 Pandas Dataframe conversion and drop - Part 2 00:06:00 Pandas Dataframe conversion and drop - Part 3 00:07:00 Pandas Dataframe summary and selection Pandas Dataframe summary and selection - Part 1 00:06:00 Pandas Dataframe summary and selection - Part 2 00:06:00 Pandas Dataframe summary and selection - Part 3 00:07:00 Pandas Missing Data Management and Sorting Pandas Missing Data Management and Sorting - Part 1 00:07:00 Pandas Missing Data Management and Sorting - Part 2 00:07:00 Pandas Hierarchical-Multi Indexing Pandas Hierarchical-Multi Indexing 00:06:00 Pandas CSV File Read Write Pandas CSV File Read Write - Part 1 00:05:00 Pandas CSV File Read Write - Part 2 00:07:00 Pandas JSON File Read Write Pandas JSON File Read Write Operations 00:07:00 Pandas Concatenation Merging and Joining Pandas Concatenation Merging and Joining - Part 1 00:05:00 Pandas Concatenation Merging and Joining - Part 2 00:04:00 Pandas Concatenation Merging and Joining - Part 3 00:04:00 Pandas Stacking and Pivoting Pandas Stacking and Pivoting - Part 1 00:06:00 Pandas Stacking and Pivoting - Part 2 00:05:00 Pandas Duplicate Data Management Pandas Duplicate Data Management 00:07:00 Pandas Mapping Pandas Mapping 00:04:00 Pandas Grouping Pandas Groupby 00:06:00 Pandas Aggregation Pandas Aggregation 00:09:00 Pandas Binning or Bucketing Pandas Binning or Bucketing 00:08:00 Pandas Re-index and Rename Pandas Re-index and Rename - Part 1 00:04:00 Pandas Re-index and Rename - Part 2 00:05:00 Pandas Replace Values Pandas Replace Values 00:05:00 Pandas Dataframe Metrics Pandas Dataframe Metrics 00:07:00 Pandas Random Permutation Pandas Random Permutation 00:08:00 Pandas Excel sheet Import Pandas Excel sheet Import 00:07:00 Pandas Condition Selection and Lambda Function Pandas Condition Selection and Lambda Function - Part 1 00:05:00 Pandas Condition Selection and Lambda Function - Part 2 00:05:00 Pandas Ranks Min Max Pandas Ranks Min Max 00:06:00 Pandas Cross Tabulation Pandas Cross Tabulation 00:07:00 Matplotlib Graphs and plots Graphs and plots using Matplotlib - Part 1 00:06:00 Graphs and plots using Matplotlib - Part 2 00:02:00 Matplotlib Histograms Matplotlib Histograms 00:03:00 Resource File Resource File - Python Data Science with Numpy, Pandas and Matplotlib 00:00:00