Fluidsdata Launched Fluids Intelligence at SPE ATCE 2025
Houston, TX, October 2025
Fluidsdata successfully showcased its latest innovations in physics-backed and domain-driven AI along with end-to-end software for fluids characterization at the Society of Petroleum Engineers (SPE) Annual Technical Conference and Exhibition (ATCE) 2025 in Houston, Texas.
Over the three-day event, Fluidsdata engaged with clients, partners, and industry leaders from around the world, sharing its vision of turning all fluids characterization data into an asset through its Fluids Intelligence platform and end-to-end software suite.
Throughout the exhibition, attendees experienced how physics-backed and domain-driven AI, combined with Agentic AI and modular software tools, empower engineers to make faster, smarter, and more cost-efficient decisions. The Fluidsdata team demonstrated real-world applications across the reservoir, production, and flow assurance domains while showcasing measurable impact in data efficiency, prediction accuracy, and cost savings.
Each day featured a dedicated technical presentation:
Day 1: Discover the Power of Fluidsdata's AI and End-to-End Software, highlighting real-world use cases and the impact of integrated data management, visualization, and agentic AI on engineering workflows.
Day 2: Fluids Intelligence: The Dawn of a New Era in AI for Fluids Characterization, unveiling Fluidsdata's flagship AI solution that enables clients to save on sampling costs, predict missing data, and unlock actionable insights.
Day 3: Where Fluids Meet Logs and AI Connects the Dots, a joint session with dataVediK demonstrating how combining fluids and log data can reveal deeper reservoir insights.
Fluidsdata extends its sincere appreciation to all visitors, clients, and partners who joined us at booth #1206 and contributed to thought-provoking discussions on the future of AI and fluids characterization. The strong industry engagement at SPE ATCE 2025 reinforces our mission to democratize fluids data, integrate physics and AI, and empower engineers with explainable intelligence across the energy value chain.