Fluidsdata Launches Physics-Backed, Domain-Driven AI Model for Reservoir Fluid Property Predictions
May 2025 — Fluidsdata, a leader in AI-powered reservoir fluids characterization, today announced the launch of Agentic AI, a core module within its Fluids Intelligence platform. This new capability delivers a secure, evolving AI agent tailored specifically to fluids engineers—designed to operate within the data boundaries of each client while leveraging Fluidsdata’s unparalleled domain expertise.
Agentic AI is not a general-purpose model. It is a digital fluids expert that learns, adapts, and supports engineering workflows—without compromising data privacy. With rising concerns in the industry around proprietary data being used to train third-party models, Fluidsdata took a different path: one rooted in security, transparency, and deep domain knowledge.
“Our clients made it clear: they cannot afford to hand over their data to train someone else’s AI,” said Afzal Memon, Founder and CEO of Fluidsdata. “That’s why we built Agentic AI into the Fluids Intelligence platform. It’s your private AI, infused with fluids expertise and deployed in your environment. Over time, it becomes a true digital teammate—without ever exposing your data outside.”
Unlike traditional AI deployments, Agentic AI is embedded with expert-driven instructions, best practices, and proprietary logic derived from real-world reservoir fluids characterization. It is securely deployed in the client’s cloud or infrastructure of choice, and it evolves uniquely based on user interaction and expert feedback.
“This isn’t a chatbot,” said Dr. John Nighswander, Cofounder and Chief Domain Expert at Fluidsdata. “This is an agent that understands fluids. We've embedded everything from phase behavior to compositional analytics and PVT interpretation into the AI core. It supports engineering judgment, contextual reasoning, and actionable insights—right where engineers need it most.”
As part of the Fluids Intelligence platform, Agentic AI integrates seamlessly with Fluidsdata’s physics-backed models and digitized data environment to deliver:
• Private, adaptive AI agents for every client
• Secure deployment with zero data exposure
• Guided evolution through real-world use and expert oversight
• Accelerated engineering insights and smarter fluid decisions
The launch of Agentic AI further strengthens Fluids Intelligence as an end-to-end solution for fluids data management, prediction, and decision support—designed specifically for the energy sector.
To learn more or schedule a demonstration, visit www.fluidsdata.com
Fluidsdata Launches Physics-Backed, Domain-Driven AI Model for Reservoir Fluid Property Predictions
May 2025 — Fluidsdata is proud to announce the release of its Physics-Backed, Domain-Driven AI Model, a breakthrough component of the company’s next-generation AI platform, Fluids Intelligence. This new model enables engineers to predict key reservoir fluid properties with greater accuracy—and using significantly less data than traditional approaches.
In industries where fluid characterization data is expensive and sparse, this advancement offers an opportunity to transform how reservoir and production engineers approach PVT analysis and decision-making.
“Unlike generic large language models, our AI understands the problem from first principles,” said Afzal Memon, Founder and CEO of Fluidsdata. “We have embedded decades of reservoir fluid expertise and physics-based logic into this model, allowing it to deliver accurate predictions using limited fluid composition and minimal PVT test inputs. This is AI that thinks like a reservoir engineer.”
This new module within Fluids Intelligence has demonstrated the ability to reduce sampling costs by up to 50% and fluid analysis costs by up to 80%—a compelling impact in today’s cost-conscious, data-limited environments.
What sets the model apart is its reliance on physics-informed patterns and domain-expert heuristics, rather than brute-force training on large datasets. The model leverages insights such as the impact of composition clustering on phase behavior, compressibility, and GOR—insights typically reserved for specialists.
“Our goal wasn't just to build a predictive model,” said Dr. John Nighswander, Co-Founder and Chief Domain Expert at Fluidsdata. “We wanted to distill the judgment of a seasoned reservoir fluids specialist into a form that can scale—and assist any engineer, anywhere, instantly. That’s what domain-driven AI means.”
The new model is now available to clients as part of Fluids Intelligence, Fluidsdata’s AI suite designed to accelerate data interpretation, property estimation, and workflow efficiency in upstream operations.
About Fluidsdata
Fluidsdata is an AI technology company focused on transforming how energy companies manage, analyze, and act on fluids characterization data. With a unique blend of domain expertise, physics modeling, and AI innovation, Fluidsdata helps engineers unlock insights and make better decisions—faster and with fewer resources.
For media inquiries or product demos, please contact us at:
www.fluidsdata.com
Fluidsdata and ADNOC Onshore to Present Groundbreaking AI Solutions at SPE Workshop
Oct 2024 — We are proud to announce that Fluidsdata, in collaboration with ADNOC Onshore, will be presenting our innovative work at the SPE Workshop: Complex Reservoir Fluids—PVT in Brown Assets Towards Energy Transition and Improved Recovery, taking place from 23-24 October 2024 at Crowne Plaza Muscat, Sultanate of Oman.
The energy industry is facing challenges in reservoir fluid compositions precision, and Fluidsdata is at the forefront of addressing these issues through advanced AI models, domain expertise and specialized experimental results. Our physics-based AI solutions are designed to reduce uncertainties in reservoir management, mitigate risks in field development, and enhance production optimization.
During the workshop, on behalf of Fluidsdata, our very own, Afzal Memon, alongside Dr. Muataz Al Shuaibi from ADNOC Onshore, will showcase how these cutting-edge technologies are shaping the future of the energy sector and driving the industry towards a more efficient and sustainable future.
Session Details:
- Session 4: 23 October 2024 | 15:00 – 16:00
- Session 5: 23 October 2024 | 16:30 – 17:30
For more information about the workshop and to register, visit the SPE website at: https://www.spe-events.org/workshop/complex-reservoir-fluids.
Join us in Muscat as we discuss the transformative impact of AI in the energy industry and how Fluidsdata is leading the charge towards innovation and improved recovery in brownfield assets.
Fluidsdata has been selected as a finalist at SPE ATCE's Startup Village Competition
Sept 2024. Designed to ignite the entrepreneurial spirit in the energy industry, SPE ATCE Startup Village competition showcases a coveted collection of emerging startups in the energy field. Fluidsdata is proud to be selected as a finalist in the competition. This year's SPE ATCE conference will be held in New Orleans as the conference celebrates 100 years.
Afzal Memon, Fluidsdata's Founder and CEO will pitch Fluidsdata on September 24, 2024 at 11:00 am in the competition. We hope to see you there!