Formation Evaluation: Electrofacies Analysis using Aspen Geolog Facimage

This course covers the Facimage functionality in Geolog. It introduces Facimage methodology and provides hands-on experience with electrofacies analysis and data modeling. It focuses on Facimage
MRGC (Multi Resolution Graph Based Clustering) and KNN (K-Nearest Neighbor) approach. This method allows a simple, fast, and effective integration of all types of petrophysical and geological information: conventional logs, array and image logs, core measurement, and core description. This training course teaches you how to:

• Identify and select Training Datasets for use with the application dataset.
• Analyze Training Datasets for coherence with the application dataset.
• Perform Facies propagation to create electrofacies.
• Perform log prediction: log reconstruction and core data prediction.
• Perform comparison among cluster models using various methods.

Audience:

Geolog users, new Facimage users

Training Details

  • Course Id:

    GEO207

  • Duration:

    2 day(s)

  • CEUs Awarded:

    1.4

  • 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 prior experience with Geolog is recommended.

Agenda

  • Define Objective
  • Data Preparation
  • Basic Workflow
o Create a Facimage Project
o Insert a Cluster Model
o Facies Propagation
  • Features
  • Training Data
  • Comparing MRGC Electrofacies to a Lithology Log
  • Similarity Modeling
  • Log Prediction
  • Electrofacies Ordering -CFSOM
  • NMR T2 Electrofacies
  • Synthetic Clustering

Register for a Class

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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.