1215 Courses in Leicester

NFV training course description Network Functions Virtualization (NFV) brings many benefits, this training course cuts through the hype and looks at the technology, architecture and products available for NFV. What will you learn Explain how NFV works. Describe the architecture of NFV. Explain the relationship between NFV and SDN. Recognise the impact NFV will have on existing networks. NFV training course details Who will benefit: Anyone wishing to know more about NFV. Prerequisites: Introduction to Virtualization. Duration 2 days NFV training course content Introduction What is NfV? What are network Functions? NfV benefits, NfV market drivers. ETSI NfV framework. Virtualization review Server, storage and network virtualization and NfV. Virtual machines, containers and docker. Data centres, clouds, SaaS, IaaS, PaaS. Virtualization of Network Functions Network virtualization versus Network Function virtualization. ETSI NfV architecture ETSI documents, Architecture overview, compute domain, hypervisor domain, infrastructure network domain. IETF and NfV Creating services, Service Functions, Service Function Chaining. SPRING and source packet routing. YANG and NetConf. RESTCONF. VLANs, VPNs, VXLAN. MANO Management and Orchestration. OpenStack, OpenDaylight PaaS and NfV. The VNF domain. Service graphs, MANO descriptors, Open orchestration. The virtualization layer VM centric model, containers versus hypervisors, FD.io. Summary Deploying NfV, performance, testing. Futures.

Definitive VPNs training course description A hands on course covering VPNs from the basics of benefits and Internet vs. Intranet VPNs through to detailed analysis of the technologies involved in VPNs. All the major VPN protocols are covered including PPPoE, L2TP, SSL, IPsec and dynamic VPNs. MPLS L3 VPNs are also covered. What will you learn Describe what a VPN is and explain the difference between different VPN types. Recognise the design and implementation issues involved in implementing a VPN. Explain how the various technologies involved in a VPN work. Describe and implement: L2TP, IPsec, SSL, MPLS L3 VPNs. Evaluate VPN technologies. Definitive VPNs training course details Who will benefit: Network personnel. Prerequisites: IP Security foundation for engineers. Duration 3 days Definitive VPNs training course contents VPN overview What is a VPN? What is an IP VPN? VPNs vs. Private Data Networks, Internet VPNs, Intranet VPNs, Remote access VPNs, Site to site VPNs, VPN benefits and disadvantages. VPN Tunnelling VPN components, VPN tunnels, tunnel sources, tunnel end points, hardware based VPNs, Firewall based VPNs, software based VPNs, tunnelling topologies, tunnelling protocols, which tunnelling protocol should you use? requirements of tunnels. VPN security components Critical VPN security requirements, Encryption and authentication, Diffie Hellman, DES, 3DES, RSA, PKI, Ca server types, pre shared keys versus certificates, Enrolling with a CA, RADIUS in VPNs. PPP Encapsulation, operation, authentication. Hands on Setting up PPPoE and analysing PPP packets. PPTP Overview, Components, How it works, control and data connections, GRE. Hands on Building a PPTP VPN. L2TP Overview, components, how it works, security, packet authentication, L2TP/IPSec, L2TP/PPP, Layer 2 versus layer 3 tunnelling. Hands on Implementing a L2TP tunnel. IPSec AH, HMAC, ESP, transport and tunnel modes, Security Association, use of encryption and authentication algorithms, manual vs automated key exchange, NAT and other issues. Hands on Implementing an IPSec VPN. Intranet VPNs Headers, architecture, label switching, LDP, MPLS VPNs. VPN products and services PE and CPE, management, various VPN products. VPN issues and architectures VPN architectures: terminate VPN before/on/ after/in parallel with firewall, resilience issues, VRRP, performance issues, QoS and VPNs. documentation.

Windows clustering training course description This course covers high availability and disaster recovery technologies such as live migration, storage migration and Hyper-V Replica, as well as providing indepth coverage of failover clustering including a detailed implementation of failover clustering of Hyper- V using SoFS. The course also covers System Center Virtual Machine Manager and implementing Network Load Balancing (NLB) and load balancing clusters. What will you learn Plan and implement a failover cluster. Describe managing server roles and clustering resources. Implement and manage virtual machines. Use System Center Virtual Machine Manager. Describe cloud-based storage and high availability solutions. Implement a Network Load Balancing (NLB) cluster. Windows clustering training course details Who will benefit: Technical staff working with Microsoft clusters. Prerequisites: Supporting Microsoft Windows server Duration 3 days Windows clustering training course contents High Availability in Windows Server Defining levels of availability, High Availability and disaster recovery solutions with Hyper-V Virtual Machines, High Availability with failover clustering in Windows Server. Hands on Configuring High Availability and Disaster Recovery. Implementing failover clustering Planning a failover cluster, creating a new failover cluster. Hands on Creating and Administering a Cluster. Server roles and clustering resources Configuring highly available applications and services on a failover cluster, managing and maintaining a failover cluster, troubleshooting a failover cluster, implementing site high availability with multisite failover clusters. Hands on Managing server roles and clustering resources. Failover clustering with Hyper-V Overview of integrating Hyper-V with failover clustering, implementing Hyper-V with failover clustering, managing and maintaining Hyper-V Virtual Machines on failover clusters. Hands on Implementing failover clustering by using Hyper-V Storage Infrastructure Management with Virtual Machine Manager Virtual Machine Manager, managing storage infrastructure with Virtual Machine Manager, provisioning failover clustering in Virtual Machine Manager. Hands on Managing storage infrastructure. Cloud-Based storage and High Availability Azure storage solutions and infrastructure, cloud integrated storage with StorSimple, disaster recovery with Azure Site Recovery. Hands on Managing cloud-based storage and high availability Network Load Balancing Clusters Overview of NLB, configuring an NLB cluster, planning NLB. Hands on Implementing a Network Load Balancing Cluster

Summary This half day course is designed to help managers and supervisors understand the causes of poor behaviour and look at different strategies for dealing with this. The course can be run as a one-off session or can be incorporated into a series of sessions on managing staff. Alternatively it could be increased to a day-long course with participant’s role playing different scenarios in the afternoon. For voluntary and community organisation participants the course could include dealing with difficult volunteers as well as paid staff.

About this Training Course There are various kinds of geophysical data available. They are separated into seismic and non-seismic (multi-physics) data. Non-seismic or multi-physics data (which includes gravity, magnetics, electrical, electromagnetics, spectral etc - apart from providing complimentary information to seismic) is the main source of information for very shallow subsurface applications such as engineering, mapping pollution, archaeology, geothermal energy, and related areas. This 5 full-day blended course will focus specifically on seismic data which is the main method used in the Oil & Gas industry. In this blended course, participants will be equipped to understand that seismic data represents the movement of the surface, resulting from waves generated by a source, dynamite or vibrator which are reflected by changes in the subsurface rocks. The basic principles of acquisition and processing will be explained and insights into advanced methods, allowing a much more accurate interpretation of seismic data than previously considered possible, will also be provided. This blended course contains an introduction to Machine Learning and its important role in all aspects of seismic acquisition, processing, and interpretation. There is no need to know in detail how the algorithms work internally but it is necessary to know how to use them correctly to achieve optimum results. Training Objectives By attending this course, participants will be able to acquire the following: Obtain an understanding of the strengths and limitations of geophysical methods, specifically seismic, and the costs and risks involved, and how to reduce these. Be able to communicate more effectively with staff in other disciplines. Understand the potential applications of seismic data and know how to formulate the requirements needed for prospect and field evaluation. Gain an awareness of modern seismic technology. Apply the learning in a series of practical, illustrative exercises. Know what types of questions to ask to assess the necessary quality of a seismic project in its role in a sequence of E&P activities Target Audience The blended course is intended for non-geophysicists who have intensive interaction with geophysicists. But it may be of interest to those who want to know about the recent progress made in geophysics, leading to amazing imaging results, which could not be imagined a decade ago. The blended course will bring to the attention of the geologists, petrophysicists and reservoir/petroleum engineers an awareness of how the data they will work with is acquired and processed by the geophysicist. It will introduce the concepts that are of importance in geophysics and thus relevant for non-geophysicists to know and be able to communicate with geophysicists as well as formulate their requests. Course Level Intermediate Trainer Your expert course leader has degree in Geology (University of Leiden), a Master's degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on 'Full wave theory and the structure of the lower mantle'. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the 'shadow zone' of the core. These observations were then translated into rock properties of the D' transition zone. After his PhD, he joined Shell Research in The Netherlands to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. He subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben. As part of the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments. After his return to The Netherlands, he headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of 'Contractor' software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that period, he was also a part-time professor in Applied Geophysics at the University of Utrecht. From 2001 to 2005, he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, he became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods. After his retirement from Shell, he founded his own company, specialising in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies. In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating 'Artificial Intelligence' in his courses, he also developed a dedicated Machine Learning course for geophysics. 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 Gas wells are the most uncertain hence critical component of any gas production system. A successful gas project relies on a reliable forecast of gas well production and on timely implementation of measures that restore, sustain and improve gas well capacity, and maximize reserves. This 5-day course provides the skills to understand and analyze (changes in) gas well performance, and to select and design those remedial measures. It addresses all four gas well components i.e. reservoir performance, inflow performance, outflow performance and surface performance, individually and combined. In depletion-drive reservoirs, the gas well outflow performance becomes inevitably compromised as the reservoir pressure depletes and the gas rate becomes insufficient to lift liquid water and condensate to surface. This condition is referred to as liquid loading and causes significant loss of well capacity and reserves. This 5-day course provides the means to recognize and predict liquid loading, introduces the deliquification techniques that mitigate liquid loading, and then teaches how to select, design, install and operate the optimum suite of deliquification measures. Training Objectives On completion of this course, participants will be able to: Recognize and model gas well reservoir, inflow, outflow and surface performance Understand and model gas well production forecast and reserves Identify and model gas well performance threats and opportunities, specifically liquid loading and deliquification Select and justify remedial measures that mitigate those threats or realize those opportunities, specifically deliquification measures Understand design, installation and operation of those deliquification measures 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 other professionals responsible for selecting, installing, operating, monitoring and optimizing deliquification. Course Level Basic or Foundation Training Methods This course consists of a series of lectures and exercises. The lectures are interactive with field examples to illustrate models and concepts, where participants are encouraged to contribute their own relevant field examples. The exercises make use of a series of Excel worksheets for model calculations. Participants are invited to implement their own field specific well data. When arranged beforehand, PROSPER gas well performance software can be used as well. This course addresses ways and means to monitor and manage gas well performance and deliquification. It covers the purpose, outcome and benefit of gas well surveillance and capacity measures to assist future surveillance and capacity planning. Specifically, it addresses the selection and implementation of deliquification measures. This course introduces the skills and tools required for periodic review of gas well performance in support of critical business processes Trainer Your expert course leader brings with him 38 years of oil and gas field experience largely 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 end 2020, He worked for Shell affiliated oil and gas companies including Shell Malaysia, Petroleum Development Oman, NAM Netherlands and Shell R&D in Netherlands and USA. Since then, he has been active as an independent trainer and consultant, amongst others for Cairn India. 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 Geomechanical evaluations are about the assessment of deformations and failure in the subsurface due to oil & gas production, geothermal operations, CO2 storage and other operations. All geomechanical evaluations include four types of modelling assumptions, which will be systematically addressed in this training, namely: 1. Geometrical modelling assumption: Impact of structural styles on initial stress and stress redistribution due to operations 2. Formation (or constitutive) behaviour: Linear elastic and non-linear behaviour, associated models and their parameters, and methods how to constrain these using 3. Initial stress: Relation with structural setting and methods to quantify the in-situ stress condition 4. Loading conditions: Changes in pore pressure and temperature on wellbore and field scale This 5 full-day course starts with the determination of the stresses in the earth, the impact of different structural styles, salt bodies, faulting and folding on the orientation of the three main principal stress components. Different (field) data sources will be discussed to constrain their magnitude, while exercises will be made to gain hands-on experience. Subsequently, the concepts of stress and strain will be discussed, linear elasticity, total and effective stress and poro-elasticity in 1D, 2D and 3D, as well as thermal expansion. Participants will be able to construct and interpret a Mohr-circles. Also, different failure mechanisms and associated models (plastic, viscous) will be discussed. All these concepts apply on a material point level. Next, geomechanics on the wellbore scale is addressed, starting with the stress distribution around the wellbore (Kirsch equations). The impact of mudweight on shear and tensile failure (fracturing) will be calculated, and participants will be able to determine the mudweight window stable drilling operations, while considering well deviation and the use of oil-based and water-based muds (pore pressure penetration). Fracturing conditions and fracture propagation will be addressed. Field-scale geomechanics is addressed on the fourth day, focussing on building a 3D geomechanical model that is fit-for-purpose (focussing on the risks that need evaluation). Here, geological interpretation (layering), initial stress and formation property estimation (from petrophysical logs and lab experiments) as well as determining the loading conditions come together. The course is concluded with interpretation of the field-wide geomechanical response to reservoir depletion with special attention to reservoir compaction & subsidence, well failure and fault reactivation & induced seismicity. Special attention is paid to uncertainties and formulating advice that impacts decision-making during development and production stages of a project. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives Upon completing of this course, the participants will be able to: Identify potential project risks that may need a geomechanical evaluation Construct a pressure-depth plot based on available field data (density logs, (X)LOT, FIT, RFT) Employ log-based correlation function to estimate mechanical properties Produce a simplified, but appropriate geometrical (layered, upscaled) model that honours contrasts in initial stress, formation properties and loading conditions, including Construct and interpret a Mohr-circle for shear and tensile failure Calculate the mud weight that leads to shear and tensile failure (fracturing conditions) Identify potential lab experiments to measure required formation properties Describe the workflow and data to develop a field-wide fit-for-purpose geomechanical model Discuss the qualitative impact of pressure and temperature change on the risk related to compaction, well failure, top-seal integrity and fault reactivation 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, the participants 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. Course Level Intermediate Trainer Your expert course leader has over 30 years of experience in the Oil & Gas industry, covering all geomechanical issues in the petroleum industry for Shell. Some of his projects included doing research and providing operational advice in wellbore stability, sand failure prediction, and oil-shale retortion among others. He guided multi-disciplinary teams in compaction & subsidence, top-seal integrity, fault reactivation, induced-seismicity and containment. He was also involved in projects related to Carbon Capture Storage (CCS). He is the founding father of various innovations and assessment tools, and developed new insights into the root causes seismicity induced by Oil & Gas production. Furthermore, he was the regional coordinator for technology deployment in Africa, and Smart Fields (DOFF, iField) design advisor for Shell globally. He was responsible for the Geomechanical competence framework, and associated virtual and classroom training programme in Shell for the last 10 years. He served as one of the Subject Matter Expert (SME) on geomechanics, provided Technical Assurance to many risk assessments, and is a co-author of Shell's global minimun standard on top-seal integry and containment. He has a MSc and PhD in Civil Engineering and computational mechanics from Delft University of Technology, The Netherlands. Training experience: Developed and delivered the following (between 2010 and 2020): The competence framework for the global geomechanical discipline in Shell Online Geomechanical training programs for petroleum engineers (post-doc level) The global minimum standard for top-seal integrity assessment in Shell Over 50 learning nuggets with Subject Matter Experts Various Shell virtual Geomechanical training courses covering all subjects Developed Advanced Geomechanical training program for experienced staff in Shell Coaching of KPC staff on Geomechanics and containment issues on an internship at Shell in The Netherlands, Q4 2014 Lectured at the Utrecht University summer school (The Netherlands, 2020) on induced seismicity among renowned earthquake experts (Prof. Mark Zoback, Prof. Jean-Philippe Avouac, Prof. Jean-Pierre Ampuero and Prof. Torsten Dahm) (https://www.nwo.nl/onderzoeksprogrammas/deepnl/bijeenkomsten/6-10-juli-2020-deepnl-webinar-series-induced-seismicity) Lectured at the Danish Technical University summer school (Copenhagen, 2021) summer school on Carbon Capture and Storage (https://www.oilgas.dtu.dk/english/Events/DHRTC-Summer-School) Virtual Carbon Capture and Storage (CCS): Project Risks & How to Manage Them training course (October and November 2021) 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

WiMax training course description Broadband wireless access is an emerging technology area. This course looks at WiMAX, where it can be used, how it works and the alternative technologies. What will you learn Describe WiMAX. Explain how WiMAX works. Compare and contrast WiMAX with alternative broadband wireless access technologies. WiMax training course details Who will benefit: Anyone wishing to know more about WiMAX. Prerequisites: None. Duration 2 days WiMax training course contents Introduction What is WiMAX? WiMAX applications, The Internet, Internet access choices, wireless broadband access, WiMAX benefits. WiMAX overview Spectrums, LOS vs. non-LOS, bit rates, modulation, mobility, channel bandwidth, cell radius. WiMAX standards The WiMAX forum, IEEE, ETSI, HIPERACCESS, HIPERMAN, 802.16, 802.16-2004, 802.16a, 802.16e, 802.16f. WiMAX architecture Subscriber Stations (SS), Indoors, outdoors, antennas, Radio Base Stations (BS), LOS, Non LOS BackHaul, Point to multipoint, mesh support. Physical layer 10 - 66GHz, TDMA, TDD, FDD, 2 -11 GHz, SC2, OFDM, OFDMA, QPSK, QAM, Radio Link Control (RLC), uplink, downlink. MAC layer Traffic types (continuous, bursty), QoS, service types. MAC operations, connection oriented, frame structure, addressing. Convergence sublayers, service specific, common part, profiles (IP, ATM). Bandwidth request-grant, ARQ, Management messages. Security MAC privacy sublayer, network access authentication, AAA, 802.1x, key exchange and privacy. WiMAX alternatives WiMAX vs. 3G, WiMAX vs. 802.20.

DevOps demystified training course description This course is an introduction to DevOps. The course emphasizes communication, collaboration , integration, and automation to improve the workflow between developers and IT operations professionals. Improved workflows lead to more opportunities to design software and services in a more agile fashion. This course is a basis for discovering the most important DevOps concepts and to understand the principles and methods behind this. The course will leave you with the inspiration to be the advocate of change. What will you learn Explain DevOps principles. Describe the relationship between Agile , Lean and IT Service Management ( ITSM). Describe methods for automation and technology factors. Describe considerations when changing. Describe challenges, risks and critical success factors. DevOps demystifieds training course details Who will benefit: Non-technical staff involved with DevOps. Prerequisites: None. Duration 1 day DevOps demystified training course contents Why DevOps? From a business perspective From an IT perspective Stereotypes of Dev and Ops: perception and reality What is DevOps? Introduction DevOps Goals DevOps Added value of DevOps Proven Results DevOps for businesses DevOps principles (The Three Ways) DevOps and other frameworks DevOps and Agile DevOps and Lean DevOps and IT Service Management DevOps culture Characteristics of a DevOps culture Organizational Considerations DevOps DevOps stakeholders DevOps roles DevOps teams DevOps organizational structures DevOps methods Continuous Integration Continuous delivery Continuous deployment Value stream mapping Kanban Theory of Constraints Improvement Kata Deming's quality circle ITSM processes DevOps and Automation Methods for DevOps automation Longevity and tools categories DevOps applications Transitioning to a DevOps culture Implementation Challenges, risks and critical success factors Measuring DevOps successes

This half day or whole day course is designed to support both novice and experienced trustees in providing effective governance within their organisations. It considers their roles and responsibilities in general before looking at particular areas in more detail. The half day course covers all the essential information; the whole day session includes specific exercises and case studies to develop the participants’ problem-solving skills.