The digital learning ecosystem An efficient management approach to capability development, delivering smarter teams, improved productivity and better business outcome for the managers.
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. Enjoyable
Develop measurable skills and capabilities
The course focuses on seismic interpretation workflows, techniques and best practices. This includes how to create and use different seismic attributes like Generalized Spectral Decomposition (GSD), Consistent Dip, Consistent Curvature, Directional Blending etc., different techniques of seismic attributes blending, attributes overlay in an interpretation window, Seismic Mixer (RGB/CMY - blending, Flip/Roll, Mask), attributes map generation, interactive cross-plotting of seismic attributes, populate seismic attributes in a 3D structured grid for analysis, optical stacking, conventional & contemporary methods of faults extraction, modelling while interpreting and workflow editor setup for automatic attributes creation.
Furthermore, the course explains Multi-Z interpretation, snapping, create triangle mesh, interactive mesh editing, convert editable triangle mesh to multi-Z interpretation, workflows for geobody interpretation using different probes, populate a geobody into a 3D grid, chair cut displays of seismic attributes & modeled properties, RGB blending of seismic attributes, perform Principal Component Analysis (PCA) of seismic attributes, Train estimation model using Neural Networks to find correlation in seismic attributes for interpretation purposes and lithology identification. It also discusses genetic inversion for volume attributes.
Modules 1, 2 & 3
During this first day, the participants will learn how seismic attributes extracted or derived from seismic data can be analyzed to gain more information from the data and improve itsinterpretation.
This session will also focus on adding objectivity to the mapping of discontinuities and optimizing the workflow's time cost. The participants will discover the Ant-tracking attribute algorithm and how to automate the process for generating multiple seismic attributes. They will also apply traditional and contemporary methods of automated fault extraction using seismic attribute cubes, as well as how to automatically extract fault patches.
Finally, the participants will learn about the Petrel Structural framework which combines interpretation data to build a structural model.
Modules 4, 5 & 6
Complex structures, such as salt domes, overhangs, and reefs, have multiple Z values. To interpret such complex bodies, it is necessary to use a specific type of interpretation that is able to handle these Multi-Z values. In this session, the participants will start by learning how to perform Multi-Z interpretation and the associated quality control methods.
The second part of this session will be dedicated to the process and benefits of interpreting geobodies; i.e. isolating and capturing features (salt domes, channels, lobes, etc.) seen in seismic data. In addition to seismic attributes RGB blending and Seismic volumes compression methods, the participants will learn how to interpret geobodies and sample them into 3D models.
Finally, the participants will become familiar with the process for training neural networks and work with genetic inversion which derives petrophysical properties linked to seismic amplitude volumes and can be applied to lithology identification, volumetric estimations improvement and increase in target wells precision.
Development and exploration geophysicists, geologists, reservoir engineers and asset team members with prior experience in Petrel
General knowledge of Exploration and Development geophysics, intermediate interpretation and software skills required
Customize your own learning journey and track your progress when you start using a defined learning path.