An automated PetroVisor™ workflow unified data, analytics, and KPI-driven ranking to identify and prioritize the most profitable well workovers, cutting costs, boosting production, reducing risk, and accelerating ROI while freeing engineers for higher-value projects.
Comprehensive, data-validated well designs and standardized operations boosted production by 13%, improved pump performance and longevity, and reduced equipment failures through proactive monitoring and optimized maintenance.
Real-time MEG purity monitoring with Red Eye® Hydrate Guard optimized regeneration and dosing, cutting chemical use by up to 9%, eliminating lab sampling, reducing operational risk, and enabling automated re-injection control.
Automated PetroVisor™ dataflows identified and quantified production losses in real time, enabling early issue detection, faster decisions, and improved efficiency to cut deferred production and control costs.
The MetaFlow virtual flow meter provided real-time oil, water, and gas flow rates for gas-lift and ESP wells without new hardware or downtime, enabling continuous well visibility, faster issue detection, and reduced travel, HSE risk, CAPEX, and OPEX.
By combining the PetroVisor™ unified data platform with automated ML workflows, this solution accelerated well and workover ranking, improving forecasts, cutting CAPEX by 34%, reducing risk, and delivering a $751 million NPV gain.
An ML platform unified 40+ data sources to automate well reviews across 220 brownfields, achieving 85% faster project completion, 77% higher CAPEX efficiency, and identifying 30% more profitable wells with just two engineers.
Learn how this cloud-based, real-time operations platform centralizes drilling data, models, and collaboration tools.
Explore how to integrate rig equipment for machine-to-machine communication, real-time analysis of downhole conditions, and rapid automated responses from a central location.
Watch how accelerated real-time intelligence, automation, and control at the asset to enhances performance.
Discover how to optimize production, extend lift run life, and reduce emissions, powered by real-time analytics and physics-based modeling for continuous performance and profitability.
Explore how to enhance field operations, decision-making, and train your AI with behavioral insights, performance benchmarking, and predictive analytics.
Watch how autonomous field systems—combine smart cameras, IoT, and edge intelligence for real-time visibility and insight for safer and smarter operations.
See how transforming sensor data into actionable insight enhances recovery potential, increases production efficiency, and reduces the cost of asset ownership.
Learn how the industry’s first hybrid flow solution extends visibility to more wells, improves physical meter calibration, and significantly reduces lifecycle costs.
Discover the more about the industry’s first stand-alone subsea water-cut meter that delivers ultimate multiphase-support redundancy for harsh, ultradeepwater environments.
Explore how this built-for-the-digitalized oilfield tech integrates seamlessly with field systems to automate testing, optimize production, and enable smarter, faster decisions.
Learn how this cloud-based, real-time operations platform centralizes data, models, and collaboration tools for high-volume production.
See how distributed fiber optic sensing transforms massive data volumes into instant insights right at the wellsite.
Industrial Intelligence is the Weatherford digital portfolio that unifies data, analytics, and control across the oilfield and manufacturing enterprise. Built on three pillars—Edge Computing, Unified Data Modeling, and software LaunchPad applications—it connects physical operations with digital execution to drive faster decisions, reduce risk, and optimize performance.
Traditional solutions often solve isolated problems with siloed tools. Industrial Intelligence, by contrast, provides a cohesive ecosystem that spans the field, IT, and the business. It contextualizes data across systems, enables enterprise-wide analytics, and supports decision-making at every level—from the wellsite to the boardroom.
All three. Operators gain real-time visibility and control at the asset level, IT teams benefit from scalable architecture and secure data integration, and business leaders receive actionable intelligence that ties operational performance to financial and strategic outcomes.
Yes. It is designed to work with existing SCADA, PLC, historians, and enterprise applications. You don’t need to rip and replace—Industrial Intelligence overlays current systems, extending their life while unlocking new digital capabilities.
Everything from field sensors, controllers, and remote terminal units (RTUs) to enterprise resource planning (ERP) and financial systems can be connected. Industrial Intelligence bridges OT and IT environments to create a seamless flow of data across the enterprise.
Edge applications bring intelligence to the asset itself. By running analytics and control locally—without waiting on central systems—they enable faster responses, reduce downtime, and support autonomy in remote or bandwidth-limited environments.
A historian is an edge-native, time-series database that collects, stores, and contextualizes high-frequency data directly at the source. It ensures critical operational data is captured reliably, even when network connectivity is intermittent, and makes it available for enterprise use.
No. Industrial Intelligence enhances and modernizes your existing systems. It can integrate with legacy SCADA and PLC infrastructures, providing advanced analytics and control without the cost and disruption of a full system replacement.
A unified data model standardizes and contextualizes diverse data streams into a single, consistent framework. This matters because it eliminates silos, improves collaboration, and ensures every decision is based on a common, trusted source of truth.
It normalizes data formats, enriches them with contextual tags, and aligns them to enterprise taxonomies. This creates a common language that allows field data, IT systems, and business metrics to be seamlessly analyzed together.
Yes. The platform is designed to be open and interoperable. You can bring your own AI/ML models, or build new ones within the portfolio, and deploy them directly at the edge or enterprise level.
LaunchPad hosts both Weatherford-developed and third-party apps, as well as customer-built solutions. These range from operational dashboards and optimization tools to AI-driven analytics and workflow automation applications.
Both. Developers have the tools to build and deploy applications, while non-technical users can leverage ready-made apps, intuitive dashboards, and low-code/no-code environments to drive value without needing programming expertise.
Very easy. LaunchPad is built for enterprise scalability. Apps and workflows can be deployed centrally and pushed across wells, fields, or entire global operations with minimal reconfiguration, ensuring consistent performance at scale.
Talk to our experts or schedule a demo to see how Industrial Intelligence fits into your operations.
