About this training course Gas well performance is dictated by the combination of inflow and outflow performance. The outflow performance of any gas well is at risk as soon as the gas rate becomes insufficient to lift the associated liquid water and condensate to surface. This condition is referred to as liquid loading and invariably causes intermittent production and significant loss of well capacity and reserves. Liquid loading can be mitigated by different types of gas well deliquification such as compression, velocity string, plunger lift, foam-assisted lift, gas lift and downhole pump. This 5 full-day course will first show how to predict and recognize liquid loading. Next, it will describe how to select, design, install and operate the best sequence of deliquification measures. It will also consider deliquification in the presence of other production threats such as water production and halite blockage. These topics will be illustrated by an abundance of field examples and case studies. The participants will be completing a case study during the training. This case study is preferably based on their own relevant data set. If no such data is available, an external data set will be provided instead. Prerequisites skills: It is necessary for the participants to have a basic knowledge of petroleum engineering and gas well performance. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives On completion of this course, the participants will be able to: Develop skills and tools to understand and model gas well liquid loading and deliquification Understand the principles and practicalities of different deliquification methods Learn how to compare, select and apply deliquification measures by taking own field case as example Target Audience This course is intended for production engineer, surveillance engineer, completion engineer, production/process chemist, reservoir engineer, production programmer, production operator as well as professionals responsible for selecting, installing, operating, monitoring and optimizing deliquification. Course Level Basic or Foundation Training Methods This course utilizes Excel worksheets first introduced in the Optimising Gas Well Performance course. To derive maximum learning value, the participants are requested to bring their own relevant set of field data to complete their own case study during the training. The list of data required will be shared beforehand so data can be timely collected and cleared for external use. The participants should be prepared to complete any unfinished exercises and assignments before next day's session starts. The instructor will be available to discuss any remaining queries after the completion of the course. Trainer Your expert course leader brings with him 35 years of oil and gas field experience within Shell of which 25 years as gas well production engineer. He has covered the full spectrum of activities moving from R&D to green field development to brown field surveillance and optimisation, to become a leading gas well performance and deliquification specialist. He likes to capture the complex reality of gas well inflow, outflow and reservoir performance by means of practical data-driven rules and tools that cover a wide range of conditions i.e. shallow-to-deep, prolific-to-tight, dry-to-wet, green-to-brown, 1-1/2'-to-9-5/8' tubing, and depletion-to-aquifer drive. Before his retirement in end 2020, he worked for various Shell affiliated oil and gas companies including Shell Malaysia, Petroleum Development Oman, NAM Netherlands and Shell R&D in Netherlands and USA. 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
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
Microsoft security training course description A hands on training course focusing on security in the Microsoft environment. The course progresses from patch management onto the use of Microsoft security tools. Then server, desktop and network security are studied in the Microsoft environment. What will you learn Use Microsoft security tools. Secure Microsoft servers. Secure Microsoft desktops. Secure Microsoft networks. Microsoft security training course details Who will benefit: Technical server support staff. Technical desktop support staff. Technical network staff. Technical security staff. Prerequisites: Supporting Windows server 2016 Networking Microsoft systems. Duration 3 days Microsoft security training course contents Introduction Security threats, Microsoft defaults, admin accounts, security patches, patch management, patch tools. Hands on: Studying Microsoft defaults, applying security patches. Microsoft security tools Microsoft updates, WSUS, Inventory tool, baseline security analyser, URLscan, EventCombMT, Cipher security tool, Port reporter, PortQry. Tools hackers use. Hands on: Using Microsoft security tools. Server security Checklists, core server security, AD, Member server security, Domain controller security, Specific roles. Hands on Hardening Microsoft servers, security templates. Active Directory Admin authority in AD, group policy, trust and authentication. Desktop security Checklists, core client security, anti virus software, anti spyware software, firewalls, securing clients with AD, securing clients with group policy, software restriction policies. Hands on Securing Microsoft desktops. Network security Checklist, IP security, VPNs, PKI, certificate authorities, RAS, RRAS, IAS. Hands on: VPN configuration, IAS configuration. Monitoring Auditing, authorisation and logons, tracking, system monitoring, detecting attacks. Hands on: Monitoring Microsoft systems. Summary Microsoft security response centre, security advisories.
CPRI training course description This course is designed to give the delegate a technical overview of the CPRI protocols and link setup. We will explain the industry cooperation to define the key internal interface between the radio equipment control (REC) and the radio equipment (RE). Also explained will be the SAP that the CPRI link supports for IQ Interface, frame synchronisation, link control and management and the master and slave ports. We will investigate the CPRI block diagram and together with the data formats and sample mapping solutions. The CPRI frame hierarchy and hyperframe construction will be detailed during this three day overview course. What will you learn Explain the CPRI Block diagram. Understand hyperframing capabilities. Explain the CPRI frame format. Understand how the synchronisation is compliant with 3GPP & WiMAX requirements. Understand the two electrical characteristics of CPRI standard. Understand the CPRI standards structure. Understand the CPRI system & Interface definitions. List the four standard bit rates of the CPRI specification. Understand the CPRI Protocol stacks. CPRI training course details Who will benefit: Anyone looking for a technical overview of the CPRI protocols and link set up. Prerequisites: None. Duration 3 days CPRI training course contents System Description Subsystems. Nodes. Protocol layers. Protocol data planes. User data planes. Antenna carriers. Service Access Points (SAP). Link. Passive Link. Hop. Multi-hop Connection. Logical Connection. Master Port & Slave Port. System Architecture Basic System Architecture & Common Public Radio Interface Definition. System Architecture with a link between Res. Reference configurations: Chain topology, Tree topology, Ring topology. RECs & REs in both chain & tree topology Functional description Radio Functionality. Functional Decomposition between REC and RE: For UTRA FDD, For WiMAX & E-UTRA, For GSM. CPRI Control Functionality. Interface Baseline Interface Specification. Protocol Overview. IQ Data. Synchronisation. L1 Inband Protocol. C & M Data. Protocol Extensions. Vendor Specific Information. Physical Layer Specifications Line Bit Rate. Physical Layer Modes. Electrical Interface. Optical Interface. Line Coding. Bit Error Correction/Detection. Frame Structure. Mapping Methods. Container Blocks. Hyperframes. GSM, UMTS & WiMAX Timing. Link Delay Accuracy & Cable Delay Calibration. Link Maintenance Data Link Layer (Layer 2) Specification Layer 2 Framing for Fast & Slow C & M Channels. Medium Access Control/Data Mapping. Flow Control. Start-up Sequence General. Layer 1 Start-up Timer. State Description. Transition Description. Interoperability Reserved Bandwidth. Version Numbers. Supplementary Specification Details Delay Calibration Example. Reference Test Points. List of Abbreviations & Gloss
The Master of Business Administration (MBA) is a prestigious postgraduate qualification that is highly valued by leading employers. It can boost your salary, increase your professional reputation and expand your networking opportunities. If you're a graduate with some business experience and ambitions for a high-flying career, studying for an MBA could be just what you need to make the next step. Our 24 months MBA programme equips you to think logically, laterally and independently through 2 stage intensive, immersive, and challenging programme. With the advantage of studying on the job, anytime and anywhere, you get Cost Advantage and same degree which is given to full time students at the University Campus. This 24 months MBA programme is not just an academic course. By exploring and examining real-life business problems to work on and solve, you enhance your own understanding of how a business works. We take a strategic perspective on business and management that helps you develop the skills to contribute to the major business decisions organisations have to make about their future. Program Overview: Master of Business Administration (MBA) - 24 Months Key Highlights of Master of Business Administration (MBA) - 24 Months qualification are: Fully Recognized and Globally Accepted Degree Program Duration: 24 Months (12 months / 18 months duration programme also available) Program Credits: 180 Designed for working Professionals Format: Online Student to faculty ratio of just 15:1 No Written Exam. The Assessment is done via Submission of Assignment and University Dissertation Project Same Degree which is given to Full Time students at the University Campus. Study material: Comprehensive study material and e-library support available at no additional cost. Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Doctorate / PhD programme. LSBR Alumni Status No Cost EMI Option Top Skills You Will Learn MBA 24 months is widely seen as a passport to a successful career. It demonstrates the breadth and depth of your functional competence, strategic knowledge and problem-solving ability. Course Structure: MBA 24 MonthsThis 24 months MBA programme consists of 2 Stages.Stage 1: This stage is delivered by London School of Business and Research. The programme involves delivery through on-line Learning Management System (LMS). This stage leads to award of Level 7 Diploma in Strategic Management and Leadership. Credits earned at this stage - 120 credits (60 ECTS). Mandatory units Strategic Management (20 Credits)Strategic Leadership (20 Credits)Strategic Human Resource Management (20 Credits)Advanced Business Research Methods (20 Credits) Optional units(Choose any 2units to make 120 credits) Strategic Financial Management (20 Credits)Supply Chain and Operations Management (20 Credits)Entrepreneurship and Innovation (20 Credits)Globalisation and Corporate Governance (20 Credits)Strategic Change Management (20 Credits)Strategic Marketing (20 Credits) Successful completion of Stage 1 leads to Progression to Stage 2Stage 2: Delivered by the University / awarding body. On completion of the diploma programme you progress / Top up with Degree through a UK University for progression to the MBA degree. The stage 2 is delivered via distance learning by faculties from the University / awarding body. Credits earned at this stage - 60 credits (30 ECTS). Completion of Stage 2 leads to award of MBA Degree Dissertation Project Successful completion of Stage 2 leads to award of Degree by the university. Who is this course for? MBA in 24 Months programme is ideal for working professionals, successful managers, executives and professionals who want to take their career to a new level and Ambitious people who want to fast track their chosen career or start a new enterprise