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

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

Milly Wright

Upcoming course

Stay tuned by joining our Mailing List.

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

Upcoming course

Stay tuned by joining our Mailing List.

Course contents

    Chapter 2 - Elements and Minerals

    02-01 - Common Mineral and Element Associations

    02-02 - Application of Well Data

    02-03 - Common Element-Mineral Links Quiz

    Chapter 3 - ED XRF - Calibration and QC

    03-01 - Instrumentation Setup

    03-02 - Effects and Solutions Quiz

    Chapter 4 - Interpretation Methods

    04-01 - Data Interpretation Methods

    04-02 - Examples - Key Elements Quiz

    Chapter 5 - Interpreting XRF Data

    05-01 - Benchmarking Data Sources

    05-02 - Horizontal Well Example

    05-03 - Integration of Elemental Data with TOC

    05-04 - Lateral Variations

    05-05 - Broader Examples and Datasets Quiz