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
Essential IMS training course description The IP Multimedia Core Network Subsystem (IMS) is defined by 3GPP as a new mobile infrastructure. This course studies the discreet elements in the IMS. What will you learn Describe the IMS. Describe the IMS architecture. Explain how charging, security and QoS is handled in the IMS. Explain how the IMS supports service enablers such as Push to talk and Presence. Essential IMS training course details Who will benefit: Telecommunications staff. Prerequisites: Mobile communications overview Duration 2 days Essential IMS training course contents Mobile communications review The role of IP in telecommunications. GSM to IMS. Enhanced multimedia services, Push To, convergence, conferencing, roaming. What is IMS? What it is, why IMS, standard bodies: 3GPP, IETF, OMA, IMS services. MMD comparison. IMS architecture blocks Overview, IMS functions, IMS interfaces, IMS protocols, IMS elements, IMS reference points. Access network, IMS in GSM, CDMA, WiFi & PSTN networks. Core network. Application, Control and Call planes. HSS - User database Identification. The user database, role of HSS, SLF and multiple HSSs. 'Normal' identities, IMPI, IMPU. IMS signalling: SIP What is SIP? SIP URI, contact address, UAs, Proxies, basic SIP call flow, SIP sessions. IMS other protocols Megaco, Diameter, XML, XCAP, COPS, RTP/RTCP, SDP, H.324M, IM and MSRP. Call/Session Control Call Session Control Functions (CSCF). Domains. Home networks, visited networks. CSCF and SIP. P-CSCF, P-CSCF discovery, P-CSCF functions. I-CSCF, DNS and I-CSCF. S-CSCF, S-CSCF functions, ENUM lookups. QoS. Example call flows. IMS services Open service platform, Application Servers, profiles, AS interface with S-CSCF. 'Normal' services (Caller ID, Call waiting, transferâ¦) Push to talk Over Cellular (PoC), IMS conferencing, Group management, IMS Presence, IMS Messaging. Other possible applications. Media servers. (MRFC, MRFP). Gateways IMS PSTN procedures, BGCF, PSTN interface. SGW, MGCF, MGW Charging Architecture, Offline, online and flow based charging, charging reference points, CCF, DIAMETER, ICID, IOI. IMS security IMS security architecture, identities, AAA, public and private user ID, service filters, Cx interface, RADIUS, Diameter protocol, 3GPP AKA, integrity, privacy, NDS, IPSEC, trust, assertion.
Overview Supply Management plays a very important role in order to maintain business harmony, maintaining good relationships, and information, having a smooth flow within the business process and delivering good customer service. The course will highlight some modern techniques of Project Management to implement in the supply management process. As research shows Project Management and Supply Management are very similar thus, we will learn the tools and techniques used to initiate, execute, execute and manage and control the project.
Advanced TCP/IP training course description An intensive advanced TCP/IP course focusing on the details of the protocols according to the RFCs. This course is designed to go into the technical details of the protocols and is not for those that are new to TCP/IP. A particular focus is on TCP and performance. Those more interested in routing protocols should see our Definitive IP routing for engineers course. It is expected that delegates are totally familiar with configuration addressing. Hands on sessions consist of protocol analysis using Wireshark. What will you learn Analyse packets and protocols in detail. Troubleshoot networks using Wireshark. Find performance problems using Wireshark. Perform network forensics. Advanced TCP/IP training course details Who will benefit: Advanced technical staff. Prerequisites: TCP/IP Foundation for engineers Duration 5 days Advanced TCP/IP training course contents IP Fragmentation and MTU issues, Path MTU discovery, Geolocation, unusual IP addresses, forwarding broadcasts, DiffServ, DSCP, ECN, assured and expedited forwarding. TTL usage in traceroute, Protocol field. Sanitising IP addresses in trace files. Wireshark and checksum errors. IPv6 The header. Extension headers. Traffic class and flow labels. Tunnelling. IPv6 and fragmentation. ARP Requests, responses, gratuitous ARP, Proxy ARP, ARP poisoning. ICMP ping, Round Trip Times, ICMP redirect, ICMP router advertisement and solicitation, Time Exceeded, Destination unreachable. ICMPv6: Similarity to ICMPv4, Neighbor discovery and the replacement of ARP. MLD. First hop redundancy ICMP discovery, HSRP, VRRP, GLBP. IGMP Multicast overview, multicast architecture, multicast addresses, IGMP v1, IGMPv2, IGMPv3. UDP Use in broadcasts and multicasts. Port numbers. TCP Connections, RST, FIN, sequence numbering, packet loss recovery, Fast recovery, RTO timeout, SACK, TCP flow control, receive window, congestion window, van Jacobsen, nagle, delayed ACKs, PSH, URG, TCP options, MSS, Window scaling, TCP timestamps. Congestion notification. Hands on Troubleshooting with sequence numbers, Wireshark IO and TCP graphs to analyse performance. Window size issues. DHCP DHCP header. Relationship to BOOTP. Discover, offer, request, decline, ACK, release. Lease, renewal and rebind times. Relay agents. DHCPv6 DNS Names and addresses, Resource Records, queries, responses, problems. MDNS. HTTP Requests, methods, request modifiers, response codes. HTTPS. SSL, TLS. Proxies. Hands on Redirects, recreating pages from packets. FTP Commands, responses, passive/active mode. Email SMTP, POP3, IMAP, commands responses. Voice and Video RTP, RTCP, SIP. IP PBXs. Traffic flows. Hands on Voice playback. SNMP MIBs, GET, TRAP, polling. Performance Baselining, high latency, Wireshark and timings, packet loss, redirections, small packets, congestion, name resolution. Security Network forensics, scanning and discovery, suspect traffic. IPsec, SSH.
SAFe® for Government Transitioning to Lean-Agile practices for building technology-based capabilities is especially challenging in the government context. But issues of legacy governance, contracting, and organizational barriers can be overcome with the right information and strategies. During this course, attendees will learn the principles and practices of the Scaled Agile Framework® (SAFe®), how to execute and release value through Agile Release Trains, and what it means to lead a Lean-Agile transformation of a program inside a government agency. Attendees gain an understanding of the Lean-Agile mindset and why it's an essential foundation for transformation. They'll also get practical advice on building high-performing, multi-vendor Agile teams and programs, managing technology investments in Lean flow, acquiring solutions with Agile contracting, launching the program, and planning and delivering value using SAFe®. Attendees also learn how specific leadership behaviors can drive successful organizational change in government. What you will Learn To perform the role of a SAFe® for Government leader, you should be able to: Transition government programs from traditional software and systems development models to Lean-Agile and DevOps mindsets, principles, and practices using SAFe® Adapt technology strategy, budgeting and forecasting, acquisition, compliance, and governance processes to flow-based practices using emerging government guidelines Organize government programs into one or more Agile Release Trains (ARTs) and execute in Program Increments (PIs) Explore Large Solution coordination in a government and multi-vendor environment Identify and internalize the mindset and leader behaviors essential to successful Lean-Agile transformation Follow success patterns for SAFe® implementations adapted to the government context Build a preliminary outline of next steps to begin and / or accelerate the SAFe® implementation in your program or agency Advancing Lean-Agile in government Embracing a Lean-Agile mindset Understanding SAFe® Principles Creating high-performing Agile teams and programs Planning with cadence and synchronization Delivering value in Program Increments Mapping the path to agency and program agility Leading successful change
SAFe® for Government: In-House Training Transitioning to Lean-Agile practices for building technology-based capabilities is especially challenging in the government context. But issues of legacy governance, contracting, and organizational barriers can be overcome with the right information and strategies. During this course, attendees will learn the principles and practices of the Scaled Agile Framework® (SAFe®), how to execute and release value through Agile Release Trains, and what it means to lead a Lean-Agile transformation of a program inside a government agency. Attendees gain an understanding of the Lean-Agile mindset and why it's an essential foundation for transformation. They'll also get practical advice on building high-performing, multi-vendor Agile teams and programs, managing technology investments in Lean flow, acquiring solutions with Agile contracting, launching the program, and planning and delivering value using SAFe®. Attendees also learn how specific leadership behaviors can drive successful organizational change in government. What you will Learn To perform the role of a SAFe® for Government leader, you should be able to: Transition government programs from traditional software and systems development models to Lean-Agile and DevOps mindsets, principles, and practices using SAFe® Adapt technology strategy, budgeting and forecasting, acquisition, compliance, and governance processes to flow-based practices using emerging government guidelines Organize government programs into one or more Agile Release Trains (ARTs) and execute in Program Increments (PIs) Explore Large Solution coordination in a government and multi-vendor environment Identify and internalize the mindset and leader behaviors essential to successful Lean-Agile transformation Follow success patterns for SAFe® implementations adapted to the government context Build a preliminary outline of next steps to begin and / or accelerate the SAFe® implementation in your program or agency Advancing Lean-Agile in government Embracing a Lean-Agile mindset Understanding SAFe® Principles Creating high-performing Agile teams and programs Planning with cadence and synchronization Delivering value in Program Increments Mapping the path to agency and program agility Leading successful change
Disciplined Agile Value Stream Consultant (DAVSC) Training Workshop The Disciplined Agile Value Stream Consultant workshop teaches you how to use value stream management to create a tailored approach for any organization to accelerate delivery of value to their customers. It provides a combination of Lean, Flow, Theory of Constraints and Organizational Development theories and practices. The workshop integrates with the Disciplined Agile tool kit to provide those practices that will be most effective for where it is applied, whether it be a new Agile transition or continuing a stagnated SAFe® or Spotify one. What You Will Learn After the completion of this course, you will be able to: Learn to determine the best place for an organization to start - portfolio management, product management or development area Be equipped to tailor an organization's improvement plan based on their unique needs, while also attending to the culture of the organization to evolve at their proper pace Be able to train an organization to continue to improve on their own Know how to accelerate value delivery at scale Be prepared to take the Disciplined Agile Value Stream Consultant (DAVSC) exam and earn valuable, credible certification. Your exam fee is included in tuition. The course is comprised of an introduction and 14 lessons and supplemental materials provided electronically: Introduction: The Disciplined Agile Mindset Lesson 1: Value Stream Consultant: Role and Work Lesson 2: The Idealized Value Stream Lesson 3: Removing Delays in the Workflow Lesson 4: The Minimum Business Increment Lesson 5: The Discovery Workflow and the Development Intake Process Lesson 6: Value Flow Planning and Coordination Lesson 7: Working with a Common Cadence and Synchronization Lesson 8: End of Increment Activities and Reducing, Not Accommodating Dependencies Lesson 9: Factors for Effective Value Streams Lesson 10: Value Creation Structure Lesson 11: Agile Budgeting and Lean Funding Lesson 12: Creating Visibility Across the Organization Lesson 13: Key Roles Lesson 14: The Disciplined Agile Playbook
Join us in our studio to learn about the joys of botanical resin.
Join us for a transcendent afternoon of movement, medicine and connection. Join us for a transcendent afternoon of movement, medicine and connection at Never For Ever. Leave the outside world behind and join us for an ecstatic dance journey, merging powerful beats, heart-opening cacao, and grounding Rapé with soulful intention. This alcohol and drug-free event is a space to move freely, express yourself fully, and enjoy being part of our amazing community. Event Flow: Doors open at 11.30am No entry after 12.15pm to maintain the integrity of the space. We'll begin with warm-up music from 11.30 - 12.15pm to help you settle in. Rapé will be served between 11.30 and 12.15pm—please book this when you book your ticket if you would like to receive Rapé. At 12.15pm, we’ll share a ceremonial cacao together, a sacred plant medicine to open your heart and energise your body, preparing you for the dance. The dance begins at 12.30pm. Holly, our phenomenal resident DJ, will guide you through an eclectic mix of deep, tribal, and uplifting beats. Known for her ability to craft sets that resonate deeply with the body, mind, and soul, Holly will take you on a journey where every track invites you to move more freely and feel more alive. The cool down will be from 2 - 2.30pm. Venue: Never For Ever is known for its chic, warehouse-style interior and vibrant atmosphere. It has an incredible line-up of non-alcoholic cocktails making it the perfect setting for our dance. After the dance, you're welcome to stay, relax, and grab a bite to eat and connect with the community - the food is AMAZING. The entrance to the dance is the door on the far left of the building. As you enter, come down the stairs immediately in front of you and follow the corridor round to the space. Etiquette: To create a safe and sacred space for everyone: No talking on the dance floor - let your body do the communicating. This is a sober event. Help us keep the space light and clear. Respect boundaries - honour your own space and the space of others. Barefoot or socks only on the dancefloor. No phones - stay present and enjoy the dance. Listen to your body - move in a way that feels natural and right for you. Refund Policy: You can cancel your booking automatically through Cademy with 7 days’ notice. After this point NO REFUNDS will be issued. Price: Price is on a sliding scale. Please pay what you can afford. @numinity.collective Join our Whatsapp Group for new event updates.
About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 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 Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) 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