Fluidsdata to Present AI Driven Approach for Accurate MPFM Performance at SPE Workshop

Society of Petroleum Engineers workshop attendees in San Antonio will hear from Afzal Memon on a growing industry challenge: how to improve Multiphase Flow Meter (MPFM) performance through better access to fluids characterization data and AI driven prediction workflows.

Afzal Memon will present "Democratizing Fluids Characterization Data with Artificial Intelligence for Accurate MPFM Performance" during Session 2: Master Flow Assurance & Phase Behavior with MPFM on May 7, 2026, at the San Antonio Marriott Riverwalk, Texas.

The presentation focuses on two critical industry challenges impacting production measurement and engineering workflows today.

The first challenge is the democratization of fluids characterization and phase behavior data. Across many organizations, critical PVT and compositional data remain trapped in disconnected reports, spreadsheets, and siloed repositories. This limits accessibility for engineers, flow assurance teams, and MPFM workflows that require reliable, fit for purpose fluid data for accurate configuration and decision making.

The presentation will discuss practical workflows to standardize, QA/QC, centralize, and operationalize fluids characterization data with Agentic AI so it becomes governed, searchable, and usable across wells, facilities, and engineering teams.

The second challenge addresses missing, sparse, outdated or NEW fluids characterization data. Fluidsdata will present a physics backed AI modeling workflow capable of generating phase behavior data from existing operator PVT databases using thermodynamically similar fluids and local interpolation modeling techniques.

This AI driven approach helps improve MPFM configuration robustness and measurement accuracy while reducing fluid sampling requirements, laboratory costs, and engineering turnaround time.

"At Fluidsdata, we believe the future of engineering workflows lies in combining domain expertise, physics, and Agentic AI to transform existing fluids characterization data into an intelligent operational asset," said Afzal Memon, Technical Director of Fluidsdata.

The session will also highlight how democratized fluids data and domain driven AI can enable faster, more reliable, and more defensible engineering decisions across production and flow assurance workflows.

Fluidsdata looks forward to engaging with industry peers and discussing how "fluids data everywhere" can help reshape the future of production measurement and fluids intelligence.