Announcements

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APACT 2025 Conference. Don’t Miss It.

APACT 2025 ConferenceVenue: Hilton Glasgow, 1 William Street, Glasgow, G3 8HT

Date: Sep 23 – 25, 2025

https://apact.co.uk/

 

The APACT meeting is one of the most dynamic forums for integrating a detailed knowledge of analytical chemistry and how to best manage change from data-centric to information-centric processes.

The combination of process-focused academics and a diverse set of industry people makes the APACT meeting both informative and enjoyable.  The team at CPACT is second to none at organizing and conducting a tight meeting.

Chemometrics & Advanced Data Analysis
Tuesday Sept 23, 2025
11:00 – 11:25
Chemometrics versus machine learning
Brian Rohrback
Infometrix, Inc.

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Unlock Data. Discover Systems. Save Big

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.

 

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IMAGE ’25 – International Meeting for Applied Geoscience & Energy

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

Date: August 24-28, 2025

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

Course Leaders: Dr. Kenneth Peters from LSB NExT Training and Brian Rohrback from Infometrix will be leading the short course on August 24th.

This one-day course is for all geoscientists who want to extract hidden information from substantial amounts of chemical and physical data using multivariate statistical (chemometric) tools. The course emphasizes applications rather than the mathematics of various chemometric methods and will include a demo version of Pirouette 5.0 chemometric software. Case studies focus on the following topics of immediate interest to geoscientists:

• Hierarchical cluster analysis (HCA) and principal component analysis (PCA) of biomarker and stable isotope data for oil-oil and oil-source rock correlation to establish petroleum systems.
• Quantitative regression analysis of chromatographic peaks by alternate least squares (ALS) to de-convolute mixed oils derived from two or more sources. In exploration, ALS identifies mixed oils (e.g., pre-salt and post-salt oils in the Middle East and Southern Atlantic). In production, ALS allows allocation of mixtures originating from multiple reservoir zones.
• Prediction of physical properties by partial least squares (PLS) of data obtained by micro-analytical techniques. PLS allows investigators to predict API gravity, sulfur, and viscosity for reservoir zones where only small samples of cuttings from storage are available for analysis.

For questions or more information, contact info@infometrix.com.

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Minnesota Chromatography Forum 2025 – Join Us at Booth #35

Venue: Heritage Center of Brooklyn Center, Minneapolis, MN

Date: Jun 10 – 12, 2025

Location: Booth #35

Brian Rohrback of Infometrix will be presenting at the Minnesota Chromatography Forum  on Wednesday, June 11th. 

Title: Demystifying Chemometrics for use in Chromatography

Abstract:

Chemometrics technology is often neglected in chromatographic analysis, but the technology is useful in both signal processing and automated interpretation.  The primary application is to handle the problem of peak migration.  Adjusting for retention time variability can be done automatically at the end of the run and it does not require internal or external standards. It also can be used well after data collection to update a chromatographic library.  Ultimately this leads to simplified methods development, improved instrument calibration, and effective management of chromatographic databases. Chemometrics also allows the interpretation of a chromatographic pattern to be automated, leading to more complex quality monitoring exercises to be brought on-line or near-line.

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SciX 2025 Conference – On Machine Learning, PLS, and Local Weighting

Venue: Northern Kentucky Convention Center, Covington, KY

Date: Oct 5 – 10, 2025

Brian Rohrback will be presenting in the session on Artificial Intelligence and Machine Learning in Process Analytical Technology (PAT). See abstract below.

On Machine Learning, PLS, and Local Weighting

AUTHOR: Brian Rohrback
ABSTRACT:
A dozen years ago, Infometrix embraced the target of completely automating the installation and maintenance of any optical spectrometer and for any application. Ultimately, the goal is to identify a generic machine learning approach that can be taken to mimic the results that an experienced chemometrician would achieve if charged with producing an optimized model.  The idea has been presented in numerous publications and this specific work was triggered initially by Workman et al. (1995). Clearly, the chemometrics tasks can be broken down, assigning best practices procedures for each. One part of this process is choosing the algorithmic approach. Partial Least Squares (PLS) is the workhorse and is incorporated into nearly every spectroscopy system.   In cases of non-linearity, a locally weighted application of PLS will avoid the failures of non-linear methods.  Local models can also simplify model maintenance as conditions (spectrometer, ingredients, unit operations) change.

Automation of Local Regression Model Building for Spectroscopic Data – Journal of Chemometrics