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IMAGE '25 MeetingVenue: George R. Brown Convention Center, Houston, TX

Date: August 24, 2025

Short Course:  SC-01: Chemometric Tools to Establish Petroleum Systems, Predict Physical Properties, and De-Convolute Mixed Production

Special Software Discount for SC-01 Attendees

Join Infometrix at IMAGE 2025 and discover how multivariate data analysis is transforming petroleum geoscience.

Dr. Kenneth Peters from LSB NExT Training and Brian Rohrback from Infometrix will be leading the short course Sunday, August 24th at the George R. Brown Convention Center.

This one-day course demonstrates how chemometric techniques, using real-world datasets, can enhance interpretation of geochemical, petrophysical, and production data – all powered by Infometrix Pirouette® software.

Exclusive Offer:
Register for SC-01 and receive a discount on Infometrix software license, optimized for the workflows presented in the course.

Expand your skillset. Enhance your toolkit. 
Learn from experienced instructors and leave with the power of advanced analytics at your fingertips.

Register today and claim your software discount.


Infometrix: Turning complex data into confident decisions.

 

Chemometrics-enhanced Classification of Source Rock Samples Using their Bulk Geochemical Data: Southern Persian Gulf Basin

Chemometrics-enhanced Classification of Source Rock Samples Using their Bulk Geochemical Data: Southern Persian Gulf Basin, co-authored by Infometrix’ Scott Ramos has recently been published. See abstract below and contact us if you have any questions.

Abstract

Chemometric methods can enhance geochemical interpretations, especially when working with large datasets. With this aim, exploratory hierarchical cluster analysis (HCA) and principal component analysis (PCA) methods are used herein to study the bulk pyrolysis parameters of 534 samples from the Persian Gulf basin. These methods are powerful techniques for identifying the patterns of variations in multivariate datasets and reducing their dimensionality. By adopting a “divide-and-conquer” approach, the existing dataset could be separated into sample groupings at family and subfamily levels. The geochemical characteristics of each category were defined based on loadings and scores plots. This procedure greatly assisted the identification of key source rock levels in the stratigraphic column of the study area and highlighted the future research needs for source rock analysis in the Persian Gulf basin.

Keywords: Chemometric Classification, Source Rock Geochemistry, Rock-Eval Pyrolysis Data, HCA, PCA.