The digital learning ecosystem An efficient management approach to capability development, delivering smarter teams, improved productivity and better business outcome for the managers.
Bridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
Industry and client recognition
Best Outreach Program Finalist: WorldOil Awards
Overall Customer Satisfaction Score
Training provider of the year: 2013, 14 and 15
Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
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Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
Develop measurable skills and capabilities
This course starts by teaching the fundamentals of acoustic waveform propagation in a borehole and how the waveforms recorded by an array sonic tool can be processed and interpreted to obtain valuable quantitative information about the petrophysical and mechanical properties of the rocks. It contains an overview of sonic acquisition technologies (both Wireline and LWD) and explains the different constraints and limitations of each measurements (monopole, dipole, quadrupole). The course contains several practical exercises using Techlog in which the participants will be able to load real sonic data from Wireline and LWD sonic tools and QC the quality of the raw waveforms, as well as the maint products such as slowness projections and slownesses. Then, the user will be able to compute compressional, shear, and Stoneley slownesses from these waveforms using non-dispersive and dispersive slowness time coherence (STC) processing and dispersion analysis tools. Further, cross-dipole data will be used to conduct anisotropy analysis and derive standard answer products such as anisotropic parameters, fast shear azimuth. Finally, an overview of the different applications of sonic data for geomechanical applications, petrophysics, and geophysics is provided.
Fundamentals of acoustic logging
Participants will have a short overview of acoustic logging, sonic tool hardware and the main uses of sonic data. They will learn the theory and basic techniques of sonic processing, and will be able to independently quality control the results of sonic processing delivered by a service provider. They will be able to spot problems in raw data, processed slownesses and make some corrections using slowness projections before finalizing the results.
Day 2Slowness processing workflows
Participants will learn how to perform the full processing workflow for obtaining slowness from Monopole, dipole and low-frequency sources. They will be able to appreciate the importance of dispersion analysis tool for selecting the optimal processing parameters as well as for quality control of the deliverables.
Day 3Sonic processing workflows
Participants will learn how to perform the full processing workflow for obtaining slowness from Monopole, dipole and quadrupole sources in challenging environments using dispersion analysis and depth-derived borehole compensation. They will be able to significantly improve the vertical resolution of the sonic logs by using multiple shot resolution based on multiple source firings. At the end of this session, they will be able to identify any poorly-processed intervals and recommend improved processing techniques.
Day 4Anisotropy analysis and its applications
Participants will learn how to perform the complete four-component rotation workflow using cross-dipole sonic data in order to identify zones exhibiting anisotropy. They will be able to derive several outputs (such as slowness anisotropy, time anisotropy and fast shear azimuth) for the anisotropic zones and comment on the dominant source of anisotropy by using dispersion analysis.
Day 5Applications of Acoustic interpretation to Geomechanics, Geophysics and Petrophysics
Participants will apply all the methods learned in the course to an exploration well with a rich dataset. They will be able to conduct anisotropy analysis and use dispersion analysis to explain the dominant source of acoustic anisotropy by integrating sonic with petrophysics (ELAN) and wellbore image interpretation. They will also learn the different uses of sonic outputs to other domains, especially petrophysics and geomechanics.
Anyone who desires an increased understanding of acoustic data from sonic tools and how to integrate them into their workflows. Examples: Log analysts, Petrophysicists, Geophysicists, Geomechanics engineers, and all end-users of sonic data
Basic understanding of geoscience and petroelum engineering
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