Geomodeling Webinar

Quantitative Integration of Well Data and Seismic Attributes Through Bayes Classification In 2-D and 3-D Cross Plots

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Date: Wednesday, September 30^th, 2020
Time: 9:00 AM-10:00 AM (MST)

This webinar will show you a new workflow of quantitative integration between well data and seismic attributes through Bayes classification in 2-D and 3-D cross plots.  The new workflow function is available in AttributeStudio since version 8.4. The workflow can be applied to a horizon, a seismic interval or a strata-grid, with the following major steps:

1. Prepare facies logs in wells that are to be used as the training data. Facies log can be obtained inside AttributeStudio project through either supervised or unsupervised well log facies classification. Facies logs imported from other software can also be used.
2. Upscale facies log to the target horizon, interval or strata-grid after defining the training wells.
3. Extract seismic attributes to the training wells.
4. Estimate the joint probability density of the seismic attributes in either 2-D or 3-D cross plots for upscaled well facies. This step results in the training model for facies classification.
5. Cross plot and estimate the joint probability density of the seismic attributes on the horizon, interval or strata-grid.
6. Select a training model derived from the step 4 above to assign facies code for each sample in the horizon, interval or strata-grid by calculating the posterior probability through Bayes’ theorem.
7. Quality control of Bayes classification results by examining the posterior probability of each facies and classification error distributions.

We will first introduce Bayes theorem as a framework to integrate well data and seismic attributes, then illustrate the above workflow to generate a facies strata-grid from well facies log and seismic attributes.

Click here to register
Date: Wednesday, September 30^th, 2020
Time: 9:00 AM-10:00 AM (MST)