Fluidsdata and dataVediK Announce Partnership to Streamline OSDU Ingestion, and Unite Fluids and Log
Fluidsdata and dataVediK Announce Partnership to Streamline OSDU Ingestion, and Unite Fluids and Log
Fluidsdata and dataVediK Announce Partnership to Streamline OSDU Ingestion, and Unite Fluids and Log
Fluidsdata Joins The Open Group OSDU® Forum to Standardize and Unlock the Power of Fluids Data
Fluidsdata and dataVediK Announce Partnership to Streamline OSDU Ingestion, and Unite Fluids and Log
Fluidsdata and dataVediK Announce Partnership to Streamline OSDU Ingestion, and Unite Fluids and Log
Fluidsdata Launched the future of Fluids Intelligence AT SPE ATCE 2025
Fluidsdata and dataVediK Announce Partnership to Streamline OSDU Ingestion, and Unite Fluids and Log
Fluidsdata welcomes DFA spearhead Hani Elshahawi and expands Fluids Intelligence into DFA
Fluidsdata welcomes DFA spearhead Hani Elshahawi and expands Fluids Intelligence into DFA
Fluidsdata Launches Physics-Backed, Domain-Driven AI Model for Reservoir Fluid Property Predictions
Fluidsdata welcomes DFA spearhead Hani Elshahawi and expands Fluids Intelligence into DFA
Fluidsdata Expands Fluids Intelligence Platform with Launch of Agentic AI: Secure & Domain-Driven
Fluidsdata Launches Physics-Backed, Domain-Driven AI Model for Reservoir Fluid Property Predictions
Fluidsdata Launches Physics-Backed, Domain-Driven AI Model for Reservoir Fluid Property Predictions
Fluidsdata Launches Physics-Backed, Domain-Driven AI Model for Reservoir Fluid Property Predictions
Fluidsdata Launches Physics-Backed, Domain-Driven AI Model for Reservoir Fluid Property Predictions
Fluidsdata Launches Physics-Backed, Domain-Driven AI Model for Reservoir Fluid Property Predictions
Fluidsdata and ADNOC Onshore to Present Groundbreaking AI Solutions at SPE Workshop
Fluidsdata has been selected as a finalist at SPE ATCE's Startup Village Competition
Fluidsdata has been selected as a finalist at SPE ATCE's Startup Village Competition
Fluidsdata has been selected as a finalist at SPE ATCE's Startup Village Competition
Fluidsdata has been selected as a finalist at SPE ATCE's Startup Village Competition
Fluidsdata has been selected as a finalist at SPE ATCE's Startup Village Competition
Fluidsdata and dataVediK Announce Partnership to Streamline OSDU Ingestion and Unite Fluids and Log
Edmonton, AB and Houston, TX, November 2025 — Fluidsdata and dataVediK today announced a strategic partnership that brings together Fluidsdata’s domain-driven AI for fluids characterization and dataVediK’s DataMoKsha™ platform to deliver two immediate outcomes for energy operators: seamless loading of fluids characterization data to the OSDU™ Data Platform using dataVediK’s Universal Loader No-Code/Low-Code Data Ingestion Tool, and integrated analysis of fluids and log data to unlock deeper reservoir insights.
The collaboration is designed to give clients of both companies a simple path to move their data from Fluidsdata and dataVediK into OSDU, reducing friction, accelerating time to value, and enabling consistent governance. By making ingestion straightforward and standards based, the partnership lays a foundation for secure interoperability and scalable analytics across the subsurface lifecycle.
This joint effort also addresses a long-standing workflow gap. Operators acquire open hole logs during exploration or appraisal, and fluids samples are often collected immediately after logging. Yet the fluids laboratory report may not arrive for months, and different teams usually own each task. As a result, logs and fluids are rarely integrated end to end. Fluidsdata and dataVediK intend to remove these silos so that engineers can combine signals and context in one place and obtain clearer, faster decisions. The companies will further explore integration of their unique AI capabilities to advance fluids and log understanding.
Within the partnership, dataVediK will contribute its DataMoKsha™ Platform with logVediK™—a comprehensive geoscience analytics workflow that includes automated well logs digitization, LAS loading, logs processing, synthetic logs generation, real-time formation tops prediction, and lithology prediction. Together, these capabilities will augment geological insight with predictive modeling to enhance geosteering and reservoir understanding, while the Universal Loader simplifies data ingestion to OSDU.
Fluidsdata brings Fluids Intelligence, which turns decades of fluids characterization into an asset with domain-driven AI models that delivers measurement-quality predictions from existing fluids characterization data. Operators can reduce sampling and analysis costs as well as get the missing fluids characterization data while also benefiting from secure data management, advanced visualization, dashboards, exploration tools, and an Agentic AI that acts as a digital fluids expert. With new downhole fluids analysis expertise, Fluidsdata seeks to ingest optical and pressure data from formation testers, performs QA/QC, and provides explainable recommendations for faster fluid typing, contamination assessment, and real-time planning and execution of sampling programs.
“Integrating fluids and logs has been a missing link for many teams,” said Afzal Memon, CEO of Fluidsdata. “By pairing end-to-end Fluids Intelligence software with dataVediK’s Universal Loader and logVediK™, we give clients a practical path to get their data into OSDU and a powerful way to analyze it together. The result is faster insight, less rework, and a step change in decision quality for reservoir engineers. In effect, we’re delivering what we believe is the industry’s first truly unified treatment of fluids and log information at scales, so operators can act on one integrated, standards-ready dataset rather than stitching workflows after the fact which seldom happens.”
“We built DataMoKsha™ to make complex subsurface data useful, trustworthy, and actionable,” said Sunil Garg, CEO of dataVediK. “Our collaboration with Fluidsdata will brings the industry what we believe is the first integrated approach to fluids and logs data at scale. It combines standards-based ingestion with advanced analytics, so operators can unify workflows, improve subsurface understanding, and accelerate sustainable performance. Additionally, our Universal Loader gives operators a low-code path to land their fluids datasets in OSDU quickly and consistently, ensuring they can operationalize that data across the enterprise.”
About Fluidsdata
Fluidsdata turns decades of fluid characterization data into an asset with domain-driven AI and Fluids Intelligence. Instead of re-sampling and re-analyzing fluids, operators get measurement-quality predictions from the data they already have, cutting future fluids sampling and analysis costs as well as providing missing fluids characterization data for the existing dataset. Fluidsdata also provides secure data management, advanced visualization, dashboards, and exploration tools, plus an Agentic AI that acts as a digital fluid expert to support decisions from reservoir to wellsite to surface. With new downhole fluids analysis expertise, the platform seeks to ingest optical and pressure data from formation testers, applies rigorous QA/QC and physics-backed interpretation, and delivers explainable recommendations for faster fluid typing, contamination assessment, and planning and execution of sampling programs in real time.
Media contact: Please connect with us through the Contact Us page on: Fluidsdata.com.
About dataVediK
dataVediK is an innovative AI/ML company headquartered in Houston, dedicated to advancing sustainable living through cutting-edge, data-driven innovation. dataVediK has developed DataMoKsha™, an integrated, end-user-centric, hyper-converged data and analytics platform which addresses complex optimization challenges in the energy industry. By combining energy domain expertise with advanced machine learning and intelligent automation, dataVediK empowers organizations to turbo-charge digital transformation initiatives, achieve operational excellence and accelerate their sustainability goals.
Fluidsdata Joins The Open Group OSDU® Forum to Standardize and Unlock the Power of Fluids Data
Houston, TX, October 2025: Fluidsdata, a vertically integrated AI software and solutions company specializing in fluids characterization across the hydrocarbon value chain, announced that it has joined and partnered with The Open Group OSDU® Forum. The collaboration will strengthen the industry’s ongoing transition toward open-source, standards-based, and technology-agnostic data platforms, accelerating digital transformation and unleashing the full potential of AI in the energy sector.
For decades, fluids characterization data has remained fragmented, unstructured, and trapped across multiple formats and service providers, limiting its accessibility and value. By aligning with the OSDU Data Platform, Fluidsdata aims to contribute its deep domain expertise, proprietary data models, and AI-driven framework to help define and standardize fluids data definitions, laying the foundation for interoperability across the industry.
“The true power of AI cannot be unleashed until fluids characterization data is structured, standardized, and liberated from silos,” said Afzal Memon, Founder and CEO of Fluidsdata. “We have spent years developing a domain-driven data standard internally, and we are proud to share and contribute this knowledge to the OSDU community. Our mission is simple: Turn our clients data into an asset through AI. Our clients own their data assets, and they should be able to take it anywhere they like. Through OSDU, we are helping them turn that data into a true asset.”
Fluidsdata’s Fluids Intelligence platform integrates physics-backed and domain-driven AI, with an Agentic AI that acts as a digital fluids expert, into an end-to-end software. The platform enables operators to generate measurement-quality predictions from existing data, reducing lab analysis costs by up to 80% and fluid sampling costs by 50%, while ensuring explainability, data integrity, and engineering trust. Our clients achieve significant savings through our software modules for data management, data QA/QC, studio, dashboards, and exploratory data analysis (EDA). The company’s participation in OSDU reinforces its commitment to open ecosystems and interoperability, ensuring that its AI models and data solutions align with the broader industry’s standards and innovation roadmap.
“The OSDU Forum is developing and evolving an open source, standards-based, technology-agnostic data platform that stimulates innovation, industrializes data management, and reduces time to market for emerging solutions. We’re very pleased that Fluidsdata has joined the Forum to bring the expertise required to drive significant progress towards the goals of our initiative,” said Judy Cerenzia, Vice President, Forum Operations, The Open Group.
By joining the OSDU Forum, Fluidsdata takes another step toward its mission to turn all fluids characterization data into an asset, empowering engineers and organizations to make faster, smarter, and more confident decisions grounded in physics, domain expertise, AI, and open data principles.
About Fluidsdata
Fluidsdata turns decades of fluid characterization data into an asset with domain-driven AI and Fluids Intelligence. Instead of re-sampling and re-analyzing fluids, operators get measurement-quality predictions from the data they already have, cutting lab analysis costs by up to 80% and fluid sampling costs by 50%.
Fluidsdata also provides secure data management, advanced visualization, dashboards, and exploration tools, plus an Agentic AI that acts as a digital fluid expert to support decisions from reservoir to wellsite to surface. With new downhole fluids analysis capabilities, the platform ingests optical and pressure data from formation testers, applies rigorous QA/QC and physics-backed interpretation, and delivers explainable recommendations for faster fluid typing, contamination assessment, and planning and execution of sampling programs in real time.
For media contact, use the contact us form below.
About The Open Group
The Open Group is a global consortium that enables the achievement of business objectives through technology standards and open source initiatives by fostering a culture of collaboration, inclusivity, and mutual respect among our diverse group of 900+ Memberships. Our Membership includes customers, systems and solutions suppliers, tool vendors, integrators, academics, and consultants across multiple industries. More information on The Open Group can be found at www.opengroup.org.
Media Contact:
Hotwire for The Open Group
UKOpengroup@hotwirepr.com
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Fluidsdata welcomes DFA spearhead Hani Elshahawi and expands Fluids Intelligence into DFA
September 2025 — Fluidsdata announced that Hani Elshahawi has joined the company as an advisor to help expand Fluids Intelligence AI solutions into the downhole fluids analysis (DFA) market. Elshahawi brings more than three decades of leadership across service, consulting, and operating roles in the energy industry, including deep technical authority in formation testing and fluid sampling, several patents, 150+ technical publications, and broad industry recognition as past chair of the Offshore Technology Conference committee, president and foundation chair of Society of Petrophysicists and Well Log Analysts (SPWLA), and distinguished lecturer for SPE and SPWLA.
“Our mission is simple. Turn decades of ALL fluids characterization data, be it lab, wellsite or downhole in an asset that helps our client take fast and trusted decisions, and saves costs.” said Afzal Memon, Founder and CEO of Fluidsdata. “Hani’s experience in real world DFA, from wellsite to workflow, strengthens our ability to deliver physics-backed, domain driven AI solutions that reduces cost and improves confidence for operators. As we are the AI-first, digital fluids characterization company and not the measurement and sampling service company, our incentives align with our clients’ objective to leverage their existing data assets.”
“Bringing DFA into Fluids Intelligence closes a critical loop. By unifying fluids characterization data at all points of the data journey, from downhole to wellsite to lab, within one AI framework,” said Dr. John Nighswander, Cofounder of Fluidsdata and domain expert in fluids characterization. “Our clients will be able to obtain never-seen before insights, validate interpretations with an expert digital companion, and not a black box.”
“I am excited to be part of Fluidsdata to scale practical DFA insights. The team blends scientific rigor with cutting-edge AI and a clear focus on real world impact. DFA delivers the most value when paired with holistic fluids knowledge. Fluidsdata’s approach brings that discipline to real time operations so engineers can act with confidence while taking crucial decisions for DFA that impacts the reservoir lifecycle,” said Hani Elshahawi, DFA Domain and AI Advisor to Fluidsdata.
Fluidsdata’s end-to-end Fluids Intelligence AI software will be extended to include DFA.
Fluidsdata will integrate DFA centric capabilities into its platform, including ingestion of downhole optical and pressure data, interpretation and contamination workflows, real-time sampling decisions, and explainable recommendations aligned with established reservoir engineering practices. Early focus will include the streamlining of existing DFA data irrespective of measurement service company, gather all associated fluids data from lab, and update the physics backed, domain-driven AI model to include DFA model predictions on client’s data.
About Fluidsdata
Fluidsdata turns decades of fluid characterization data into an asset with domain-driven AI and Fluids Intelligence. Instead of re-sampling and re-analyzing fluids, operators get measurement-quality predictions from the data they already have, cutting lab analysis costs by up to 80% and fluid sampling costs by 50%.
With new downhole fluids analysis capabilities, the platform ingests optical and pressure data from formation testers, applies rigorous QA/QC and physics-backed interpretation, and delivers explainable recommendations for faster fluid typing, contamination assessment, and planning and execution of sampling programs in real time. Fluidsdata also provides secure data management, advanced visualization, dashboards, and exploration tools, plus an Agentic AI that acts as a digital fluid expert to support decisions from reservoir to wellsite to surface.
To learn more or schedule a demonstration,
Fluidsdata Expands Fluids Intelligence Platform with Launch of Agentic AI: Secure & Domain-Driven
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 is why we built Agentic AI into the Fluids Intelligence platform. It is your private AI, infused with fluids domain expertise and deployed in your environment. Over time, it becomes a true digital teammate that adapts and learns from your workflows 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 have 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 about this partnership or schedule a demonstration,
Fluidsdata welcomes DFA spearhead Hani Elshahawi and expands Fluids Intelligence into DFA
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 is 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.
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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.
To learn more about this partnership or schedule a demonstration,
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!