This course provides a hands-on introduction to the Rock Type Classification workflow in Aspen SeisEarth. Rock Type Classification uses a unique machine learning approach to predict rock facies away from the wellbore using well and seismic data. In this training, you will learn how to use the workflow, QC results and fine tune parameters to create a probabilistic facies model based on input lithology logs and seismic attributes. |
Existing Aspen SeisEarth users, interpreters, geoscientists. |
SEI111
0.5 day(s)
0.4
Intermediate
- Instruction on basic topics - Discussion about the general approach - Instructor-guided demonstrations of features - Hands-on workshops that apply learned concepts - Detailed course notes |
Background in geosciences Some experience with Aspen SeisEarth or completion of the training course: SEI101: Multi-Survey (2D/3D) Seismic Interpretation using Aspen SeisEarth |
Introduction to Rock Type Classification using Machine Learning Creating a New Rock Type Classification Workflow Selecting Input Data Training Set Creation Training the Data Classifying the Data Smoothing Classification Examining the Results |
Aspen Technology, Inc. awards Continuing Education Units (CEUs) for training classes conducted by our organization. One CEU is granted for every 10 hours of class participation.