Milly Wright

Acquisition and Use of Elemental Data for Rock Characterization and Correlation Course

Analytical techniques, data interpretation, integration & industry best-practices

Milly Wright

This course explains how elemental geochemical data can be used to characterize rock properties, identify stratigraphic variations, and correlate geological intervals across wells. Participants learn how elemental measurements from cores, cuttings, and logging tools can reveal lithology, mineral composition, and reservoir variability. The course demonstrates practical workflows for integrating elemental datasets with petrophysical and geological interpretation to improve subsurface understanding. Through real examples and applied workflows, the course shows how elemental data enhances reservoir characterization and supports exploration, appraisal, and development decisions.Read more...

Who Should Take This Course
• Geoscientists and sedimentologists
• Petrophysicists and reservoir modelers
• Exploration and development geologists
• Engineers working with subsurface datasets

What You Will Learn
• How elemental data is acquired from rock samples
• Using geochemical data for stratigraphic correlation
• Integrating elemental data with petrophysics and geology
• Interpreting elemental signatures for lithology and mineralogy

Why This Course Works
• Demonstrates practical workflows used in real projects
• Provides applied examples for exploration and development
• Shows integration with petrophysical and engineering datasets
• Connects geochemical data directly to geological interpretation

Access All SAGA Wisdom Training content Subscribe
Already a member? Sign in

Course contents

Chapter 1 - Introduction

Chapter 2 - Elements and Minerals

  • 02-01 - Common Mineral and Element Associations (13 min.)
  • 02-02 - Application of Well Data (15 min.)
  • 02-03 - Common Element-Mineral Links (16 min.) Quiz

Chapter 3 - ED XRF - Calibration and QC

  • 03-01 - Instrumentation Setup (15 min.)
  • 03-02 - Effects and Solutions (9 min.) Quiz

Chapter 4 - Interpretation Methods

  • 04-01 - Data Interpretation Methods (23 min.)
  • 04-02 - Examples - Key Elements (13 min.) Quiz

Chapter 5 - Interpreting XRF Data

  • 05-01 - Benchmarking Data Sources (14 min.)
  • 05-02 - Horizontal Well Example (10 min.)
  • 05-03 - Integration of Elemental Data with TOC (17 min.)
  • 05-04 - Lateral Variations (12 min.)
  • 05-05 - Broader Examples and Datasets (12 min.) Quiz