Increase Quantitative Interpretation Effectivness with Aspen SeisEarth

Use innovative tools for workflow-driven quantitative interpretation, ranging from seismic interpretation and well data display to interactive extraction of geobodies. Learn how advanced visualization enables efficient and comprehensive seismic interpretation.

Audience:

Geoscientists and Engineers

Training Details

  • Course Id:

    SEI024

  • Duration:

    1 day(s)

  • CEUs Awarded:

    0.7

  • Level:

    Introductory

Benefits

Learn how to integrate seismic and well data to map out prospective geobodies

Approach

  • Clear guidance on fundamental topics
  • Industry workflows
  • Hands-on workshops
  • Experienced instructor-guided demonstrations
  • Q&A on student-specific problems

Pre-requisites

Base knowledge of Seismic Interpretation, Experience with the Aspen SeisEarth/QSI Interpretation Suite.

Subsequent Courses

QSI101

Agenda

Chapter 1: Overview of Aspen SeisEarth

Workshop: Learn the Aspen SeisEarth User Interface:

• Get familiar with an Epos project and Epos databases

• Integrated Canvas overview


Chapter 2: Seismic Data Screening

Workshop: Learn to reveal geological features hidden in your seismic data by applying advanced visualization techniques.


Chapter 3: Prospect Visualization using AVO attribute volumes

Workshop: Learn to create cross plot AVO attribute volumes and use rendering tools in 3D Canvas to visualize the spatial distribution of AVO anomalies.


Chapter 4: Seismic Classification Workflow and Geobody Extraction

Introduction to Seismic Facies Analysis

Learn to easily utilize unsupervised classification methods (Attribute Clustering) to generate seismic facies and probability volumes and compare the target seismic facies with the Electrofacies. Integrated Analysis of AVO Anomalies and Target Seismic Facies to Identify High-Quality Prospect Areas

Workshop: Use the Geobody Detection workflow to visually isolate and map target facies or features identified in the facies volume; use different tools to analyze its thickness and volumetric.


Chapter 5: Neural Network Inversion Workflow

Introduction to Neural Network Inversion

Workshop: Learn to use a convolutional neural network trained with well logs to predict any log property volume from post-stack seismic data and its attributes.

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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.