Attribute Clustering Workflow using Machine Learning with SeisEarth

This course provides a hands-on introduction to the Attribute Clustering workflow in Integrated Canvas. You will understand how to use the Attribute Clustering workflow, which uses three different machine-learning methods for unsupervised classification.

Audience:

SeisEarth users, interpreters

Training Details

  • Course Id:

    SEI112

  • Duration:

    1 day(s)

  • CEUs Awarded:

    0.7

  • Level:

    Introductory

Approach

  • Instruction on basic topics
  • Discussion about the general approach
  • Instructor-guided demonstrations of features
  • Hands-on workshops that apply learned concepts
  • Detailed course notes

Pre-requisites

Agenda

  • Introduction
  • The Attribute Clustering Workflow
  • Performing Classification
    • Data Selection
    • Training
    • Classification
    • Smoothing
    • Saving the Workflow
    • Examining the Facies and Probability Volumes
  • Next Steps?
  • Appendices
    • Using Workflows in Integrated Canvas
    • Preparing the Data and Displays for the Exercises
    • Classifying along Well Trajectory
    • Classifying Along a Surface

Register for a Class

Date Class Type Location Price Language
Date(s): 03/6/2025 - 03/6/2025 Type: Public Virtual Location: Virtual-EMEA Price: (USD) 1000.00 Language: English Register
Date(s): 03/26/2025 - 03/26/2025 Type: Public Virtual Location: Virtual-EMEA Price: (USD) 1000.00 Language: English Register

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.