Waveform Classification using Machine Learning in Aspen SeisEarth

This training course introduces you to waveform classification, an innovative machine learning technique used in Aspen SeisEarth for delineating subtle variations in seismic responses related to reservoir characteristics. You will learn how to effectively utilize the Waveform Classification workflow within Integrated Canvas, which uses neural networks to generate facies maps from seismic attributes.

Audience:

Existing Aspen SeisEarth users, interpreters, geoscientists.

Training Details

  • Course Id:

    SEI113

  • 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: Waveform Classification and Machine Learning

Chapter 1: Unsupervised Waveform Classification

Chapter 2: Supervised Waveform Classification using Seismic Traces or Well Logs

Chapter 3: Supervised Waveform Classification Workflow using a 2D (Wedge) Model

Register for a Class

Date Class Type Location Price Language
Date(s): 10/14/2025 - 10/14/2025 Type: Public Virtual Location: Virtual-India Price: (INR) 21000.00 Language: English Register
Date(s): 08/28/2025 - 08/28/2025 Type: Public Virtual Location: Virtual-APAC Price: (USD) 300.00 Language: English Register
Date(s): 05/22/2025 - 05/22/2025 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.