Geoscientists, explorationists, and technical staff wanting to understand the theory behind essential reservoir characterization techniques and how to use this into practical E&P project workflows
Rock PhysicsRock physics is the interdisciplinary glue between geology and geophysics, allowing us to connect the petrophysicist to the reservoir engineer. Here we learn how to do this using new software RockSI & LithoSI in HRS 10.4.* Rock Physics Theory & Application o Rock physics laws and bounds o Effective medium models o Monte Carlo simulation RockSI Practical Exercises o Data loading & RockSI software overview o Log analysis & rock physics templates o Rock physics models creation & log prediction o Uncertainty analysis using Mote Carlo simulation o LithoSI analysis using simulated PDF’sAVOProvides a comprehensive look at the theory and application of the AVO (amplitude versus offset) method and instructs the student on how to model and analyze anomalies with the AVO software in HRS-10.4.* AVO Theory & Application o AVO theory, Zoeppritz & fluid replacement modelling o Elastic waves & anisotropy o AVO analysis on seismic data o Cross-plotting and the third order term o AVO inversion & Lambda-Mu-Rho (LMR) theory AVO Practical Exercises o AVO compliant processing considerations o Calculating & using AVO attributes o AVO & fluid replacement modelling (FRM) o AVO inversionSeismic InversionProvides a largely non-mathematical overview of current seismic inversion methods and instructs the student on the application of these with STRATA (Deterministic) and GeoSI (Geostatistical) in HRS-10.4.* Inversion Theory & Application o The convolutional model o Model-based inversion methods o AVO inversion o Geostatistical (stochastic) inversion STRATA & GeoSI Practical Exercises o Wavelet extraction & well ties o Model building o Inversion analysis & QC o Facies predictionRock Property PredictionProvides a comprehensive review of how to use AVO, inversion and other attributes to construct and validate robust rock property volumes and logs using EMERGE in HRS-10.4 .* Attribute Analysis Theory & Application o Classifying attributes o Training attributes o Cross-validation o Gaussian analysis with linear and multi-linear schemes o Non-Gaussian analysis with neural networks o Latest deep learning schemes EMERGE Practical Exercises o Determining the optimal number of attributes to use o How to improve the resolution of the transform o Pitfalls in interpreting the predicted rock properties o Predicting missing logs from other logs
RockSI, LithoSI, AVO, STRATA, GeoSI & EMERGE
CGG GeoTraining offers the most comprehensive industry training based on years of practical experience acquired by our personnel.
Our proprietary courses are fully customizable and can be offered at a time and location convenient to you.
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