Workshop on Artificial Intelligence Applied to Hydrocarbon Analysis and ASTM Test Methods
(In-person only event)
Date: December 8, 2026
Event Location: Renaissance Orlando at Seaworld, Orlando, Florida, United States of America
Organized by: ASTM D02.04.L Committee on Gas Chromatography Methods
About the Event
The Workshop on Artificial Intelligence Applied to Hydrocarbon Analysis and ASTM Test Methods will be held December 8, 2026. The workshop is organized by ASTM D02.04.L Committee on Gas Chromatography Methods, and will be held at the Renaissance Orlando at Seaworld, Orlando, Florida, United States of America in conjunction with the standards development meetings of the committee. The language of the workshop will be English.
Objective and Scope
Artificial intelligence and machine learning technologies are increasingly being applied in analytical laboratories to enhance the efficiency, consistency, and interpretation of test data generated by ASTM methods used in hydrocarbon analysis.
These tools are beginning to support a variety of analytical techniques commonly used in petroleum and petrochemical laboratories, including chromatographic, spectroscopic, and physical property measurement methods.
This workshop will highlight practical applications, emerging tools, and future opportunities for integrating AI into laboratory testing and ASTM standards development. Presentations may include demonstrations, case studies, and discussions of implementation challenges, validation considerations, and potential impacts on existing and future ASTM test methods.
Topics for the workshop may include, but are not limited to:
- AI applications in petroleum, petrochemical, and hydrocarbon analytical laboratories
- Machine learning approaches for interpretation of analytical data from chromatographic, spectroscopic, and other analytical techniques
- Automated interpretation of complex analytical signals (e.g., peak integration, spectral deconvolution, pattern recognition)
- Real-time monitoring of instrument performance, drift detection, and anomaly identification
- AI-assisted laboratory workflow automation and predictive maintenance
- AI approaches for quality control, statistical monitoring, and alternatives to traditional statistical process control methods (e.g., ASTM D6299)
- Applications of AI in method development, experimental optimization, and robustness evaluation
- Use of AI in precision and bias evaluation, interlaboratory studies, or virtual ILS concepts
- Integration of AI tools with existing ASTM methods and laboratory information systems
- Validation, transparency, and regulatory considerations when using AI in analytical testing
- Concepts for future AI-augmented ASTM test methods
Contributions from analytical laboratories, instrument manufacturers, software developers, and research organizations are welcome. Presentations describing practical applications, pilot implementations, or emerging approaches to AI in hydrocarbon testing are encouraged, including experiences that highlight both the opportunities and challenges associated with implementation.
Who Should Attend
This workshop will be of interest to:
- Refinery and petrochemical laboratory managers
- Instrument manufacturers and software developers
- Third-party testing laboratories
- Researchers working in analytical chemistry and measurement science
- ASTM committee members involved in hydrocarbon test methods
- Regulatory and quality assurance professionals
Abstract Submission
To participate in the seminar, authors should submit an abstract of no more than 300 words to the technical chairs, Medrado Michael Leal and Frank DiSanzo (listed below), no later than June 30, 2026.
Technical Program
A technical program (presentation times, paper titles, and presenters’ names) will be posted on the ASTM website by September 2026.
Registrants will be emailed the digital Program Booklet, which will include the Technical Program and the full abstracts, approximately one week before the event, and also the morning of the start of the event. For more information, contact symposia@astm.org.
Registration
Registration opens approximately 10 weeks before the start of the workshop.
Technical Chair Contact Information
Medrado Michael Leal
Medrado Analytical Innovations, LLC
Email: medrado@medrado-ai.com
Phone: 1+281-705-5999
Frank DiSanzo, PhD
Email: chrom3185@gmail.com
Phone: 1+609-756-9426
Hotel Information
The event will be held at the Renaissance Orlando at Seaworld in Orlando, Florida. More information on how to make your sleeping room reservation will be posted approximately 12 weeks prior to the start of the event.
Standards Development Meetings
Committee D02 invites you to attend their future standards development meetings. There is no fee to attend these meetings, and membership in ASTM International is not required to attend. For more information about the D02 committee, its subcommittee D02.04.L and their future meetings, please visit the Committee D02 Homepage.