Attribute Clustering using Machine Learning in Aspen SeisEarth

This hands-on course focuses on the Attribute Clustering workflow in Aspen SeisEarth. Attribute Clustering employs three machine learning methods for unsupervised classification and is used to create facies and probability volumes, maps, or logs from seismic attributes. After an introduction on the theory behind the Attribute Clustering workflow, you will learn how to use the workflow, QC results and fine tune parameters to ensure the best results.

Audience:

Existing Aspen SeisEarth users, interpreters, geoscientists.

Training Details

  • Course Id:

    SEI112

  • Duration:

    0.5 day(s)

  • CEUs Awarded:

    0.4

  • Level:

    Intermediate

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

Background in geosciences

Some experience with Aspen SeisEarth or completion of the training course: SEI101: Multi-Survey (2D/3D) Seismic Interpretation using Aspen SeisEarth

Agenda

Introduction to Attribute Clustering using Machine Learning

Creating a New Attribute Clustering Workflow

Selecting Input Data

Performing Training

Running Classification

Smoothing

Saving the Workflow

Examining the Facies and Probability Volumes

Register for a Class

Date Class Type Location Price Language
Date(s): 10/28/2025 - 10/28/2025 Type: Public Virtual Location: Virtual-India Price: (INR) 21000.00 Language: English Register
Date(s): 06/10/2025 - 06/10/2025 Type: Public Virtual Location: Virtual-APAC Price: (USD) 300.00 Language: English Register
Date(s): 08/12/2025 - 08/12/2025 Type: Public Virtual Location: Virtual-APAC Price: (USD) 300.00 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.