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
Participants are trained to use the Techlog wellbore software platform to perform processing and interpretation of photorealistic Quanta Geo formation images. A simplified physics lecture gives students a foundation of understanding the Quanta Geo physics of measurement. Starting from raw Quanta Geo data, students are taught to apply tool-specific signal processing methods in Techlog to remove borehole and mud effects and produce images that are most representative of the formation. Students then learn to use and optimize standard Techlog Wellbore Imaging (Wbi) methods to optimally process and visualize Quanta Geo images for interpretation. Emphasis is placed on the recognition of artifacts, and the corrective actions to take to eliminate them. Optimum adaptation of common Techlog Wbi interpretation workflows is then covered, considering eventual processing artifacts and considering the nature of Quanta Geo images being acquired in resistive oil-base mud.
QG Physics & Processing Overview
Ex. 1--process QG with default parameters
QG Electromagnetics Fundamentals
QG Physics
QG Calibration
QG Z90 Modes
QG Corrected Amplitude & Blending
Ex. 2--processing parameters investigation
Ex. 2 Processing parameters investigation
Ex. 3--processing challenging datasets
QG Image Artifacts Catalog
Interactive Depth Correction
New Automatic Depth Correction
Ex. 4--depth correction
QG Utilities, Splicer, Drillmark Filter
Ex. 5--mode splicing & remedial
QG LQC & Deliverables
Ex. 6--Challenge Competition
QG Virtual Core & Virtual Slab
Ex. 6--Challenge Cont'd
Challenge Results Presentations
QG Inversion Principles & Demo
QG Advanced Applications
TL Wbi interpretation Basics
QG Structural Analysis
QG Sandcount
QG Facies Analysis
Results upscaling & export
Open Discussion & Conclusion
Geologists, Petrophysicists, and Geomechanics Specialists interpreting Quanta Geo images.
Quanta Geo physics of measurement.
Quanta Geo tool-specific signal processing in Techlog.
Quanta Geo Techlog Wbi processing and visualization.
Quanta Geo quality control and remediation of artifacts in Techlog.
Quanta Geo-adapted interpretation workflows in Techlog Wbi.
Students should have at least basic familiarity with the Techlog user interface, data structure, workflow manager, and plots. Experience using the Techlog Wellbore Imaging (Wbi) module is also a plus.
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