913 Mapping courses delivered Online

All organizations have policies and procedures that guide how decisions are made and how the work is done in that organization. Professionally written policies and procedures increase organizational accountability and transparency and are fundamental to quality/standards assurance and quality improvement.

Face to Face training customised and bespoke. Live online or Face to Face.

About this Virtual Instructor Led Training (VILT) Asia Pacific is set to be the largest and fastest growing Hydrogen market globally. This growth is driven by decarbonisation of energy-use, ammonia production and rising demand of fuel cell electric vehicles. Hydrogen as a fuel has outstanding energy carrying capacity and many application possibilities ranging from Petroleum refinery, Ammonia and Methanol production, Transportation and Power generation. Although the current petrochemical market segment will remain strongest in the near future, it is the transport and power sector which spurs the vision of a massive market takeoff in the next decade. The ever-rising share of renewable energies require flexible and scalable storage solutions, which in turn offers many additional revenue streams beyond pure electricity sales. Adding to this the strong impetus towards decarbonization of the transport sector from cars, trucks, trains to ships and even airplanes creates the breed for an exciting and yet untapped market potential. This course aims to clarify and assess the hydrogen business case along its value chain and versatile market applications. Training Objectives Understanding current hydrogen market status and recent developments Major drivers and inhibitors influencing the growth of the market Understanding and comparing various production technology processes Challenges and solutions in transport, distribution and storage of hydrogen Mapping the many petrochemical, energy and transport applications Analyse business cases from around the world and understand their economics Target Audience Project developers Equipment Manufacturers Oil, Gas and Petrochemical sector companies IPPs and utilities Transport sector companies and port operators Policy makers and regulators Investors and lenders Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end the course. Trainer Your expert course leader is an internationally renowned energy communicator and business educator, focused on the interconnected clean energy transition topics of renewable power, energy storage, energy system electrification and hydrogen. His own independent technology tracking, market assessment and opportunity/risk analysis is delivered to clients through a mix of business advisory work, commissioned content, small-group training (online & in-person), and one-to-one executive coaching (online). In the hydrogen sector, he is currently lead consultant and trainer to the World Hydrogen Leaders network, and writer of their 'This Week in Hydrogen' news column. He is also co-presenter of the 'New Energy Chinwag' podcast, which regularly covers hydrogen-related issues. During more than 15 years as an independent energy expert, he has helped companies from large multinationals to innovative start-ups - totalling assignments in over 30 countries across 5 continents. Most recently, he has presented clean energy training in locations as diverse as Singapore, the UK, South Africa, The Philippines, the USA, Mexico, Spain and Dubai - and, in recent times of course, online to international audiences from across the world. Prior to this, he was Research Director for over 10 years at Informa, a $9 billion business intelligence provider; where he drove new market identification, analysis and project deployment work, and managed teams in the UK and US. He has a strong science background, holding a 1st Class Honours degree in Natural Sciences from the University of Cambridge, a PhD in Earth Sciences and a further Diploma in Economics & Sustainability from the UK's Open University. 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

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

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

Power BI is a powerful data visualisation program that allows businesses to monitor data, analyse trends, and make decisions. This course is designed to provide a solid understanding of the reporting side of Power BI, the dashboards, where administrators, and end users can interact with dynamic visuals that communicates information. This course focuses entirely on the creation and design of visualisations in dashboards, including a range of chart types, engaging maps, and different types of tables. Designing dashboards with KPI's (key performance indicators), heatmaps, flowcharts, sparklines, and compare multiple variables with trendlines. This one-day programme focuses entirely on creating dashboards, by using the many visualisation tools available in Power BI. You will learn to build dynamic, user-friendly interfaces in both Power BI Desktop and Power BI Service. 1 Introduction Power BI ecosystem Things to keep in mind Selecting dashboard colours Importing visuals into Power BI Data sources for your analysis Joining tables in Power BI 2 Working with data Utilising a report theme Table visuals Matrix visuals Drilling into hierarchies Applying static filters Group numbers with lists Group numbers with bins 3 Creating visuals Heatmaps in Power BI Visualising time-intelligence trends Ranking categorical totals Comparing proportions View trends with sparklines 4 Comparing variables Insert key performance indicators (KPI) Visualising trendlines as KPI Forecasting with trendlines Visualising flows with Sankey diagrams Creating a scatter plot 5 Mapping options Map visuals Using a filled map Mapping with latitude and longitude Mapping with ArcGIS or ESRI 6 Creating dashboards High-level dashboard Migration analysis dashboard Adding slicers for filtering Promote interaction with nudge prompts Searching the dashboard with a slicer Creating dynamic labels Highlighting key points on the dashboard Customised visualisation tooltips Syncing slicers across pages 7 Sharing dashboards Setting up and formatting phone views Exporting data Creating PDF files Uploading to the cloud Share dashboards in SharePoint online

Revenue Operations course is designed to provide a comprehensive overview of revenue operations within an organization, as well as its benefits, importance, and the roles that they play in the above mentioned organization

This course aims to teach you how to use art therapy to ease the suffering of others, including yourself.