Upstream
You see an oil field.
We see 22 wells with suboptimal production.
Optimize upstream production, lower cost-per-barrel, and enhance safety
BakerHughesC3.ai helps leading E&P companies rapidly integrate data from enterprise systems, operational sources, sensor networks, and external providers to power machine learning models that generate predictive insights across upstream operations. This addresses critical issues such as optimizing production, reducing cost/barrel, improving safety, and generating $100s of millions in value annually.
Applications
BHC3 Predictive Asset Maintenance
Identify high-risk assets and recommend prescriptive actions before failures occur. BHC3 Predictive Maintenance enables operators to prioritize upstream maintenance expenditures and directly operationalize maintenance through seamless integration with existing work order management and business systems.
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BHC3 Inventory Optimization
Reduce parts inventory holding costs, improve cash flow, and enhance supply chain visibility. BHC3 Inventory Optimization applies advanced machine learning to analyze variability in demand, parts delivery times, quality issues, and supply disruptions to build real-time recommendations and monitoring. Users can set optimization by confidence level and receive real-time notifications and root-cause analyses.
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BHC3 Reliability
Monitor health and predict failure of systems, subsystems, assets, and components using advanced machine learning algorithms. BHC3 Reliability enhances upstream process performance, improves operational efficiencies, and boosts production.
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BHC3 Well Placement & Completion
Accelerate the tight oil and gas learning curve by helping companies determine the optimal location, completion parameters, and frac design for individual wells across a basin. By aggregating disparate sources of reservoir, drilling, and well completion data and utilizing industry-leading machine learning techniques, BHC3 Well Placement & Completion is able to supplement traditional geophysical and engineering approaches with empirical techniques that both increase recovery and reduce development costs.
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BHC3 Well Integrity & Health
Obtain real-time well monitoring and predict formation and mechanical issues before they result in well integrity issues. BHC3 Well Integrity & Health utilizes the latest machine learning techniques, allowing operators to pinpoint potential causes of failure. In addition to predictive failure functionality, engineers and operators receive insights for improved well completion and workover designs, further reducing future operational costs.
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BHC3 Sensor Health
Ensure the operational health and optimal deployment of IoT sensor devices with machine learning. BHC3 Sensor Health uses advanced AI/machine learning algorithms to predict sensor failures and identify sensor and network health issues with a high degree of precision.
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Drilling Risk & Productivity
Reduce non-productive time, improve drilling efficiency, and mitigate potentially hazardous conditions by giving drilling engineers and operators the insight to proactively identify and address unusual drilling conditions and equipment at risk of failure. Pinpoint drilling assets that have a high likelihood of failure and diagnose the most likely cause of failure (e.g., kicks, stuck pipe, twist-offs, lost circulation) so the appropriate corrective action can quickly be taken.
E&P Investment Planning
Build a prioritized list of capital investment projects that achieve desired risk outcomes efficiently and cost-effectively. Optimize investment decisions to maximize production, reliability, and safety by connecting exploration and production capital projects with their implications on well output, asset risk, and reliability. Collaboratively plan, manage, and track investment projects and dynamically adjust plans in response to changing operational priorities and production opportunities.
Address Upstream Use Cases with the BHC3 AI Suite
The BHC3 AI Suite is a purpose-built platform for developing and operating AI applications that address industry and company-specific use cases. It offers a cohesive, low-code/no-code development environment with a complete and comprehensive set of tools and services to design, build, deploy, and operate advanced, enterprise-scale AI applications.
Upstream Case Studies
Control Valve Failure Prediction and AI Model Management
Global oil & gas leader creates a predictive maintenance application for valves
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AI for Predictive Maintenance of Progressive Cavity Pumps
Improving well availability and productivity
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Minimizing Production Downtime of High-Value Offshore Wells
AI Predictive Asset Maintenance for Electrical Submersible Pumps
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AI for Predictive Asset Maintenance of Oilfield Equipment
Predict oilfield equipment failure and improve maintenance
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Testimonials
Dan Jeavons
GM Data Science
"The combination of our data science expertise and the software development expertise that C3.ai brings is really powerful."
Lorenzo Simonelli
Chairman and CEO
“With the quest to drive more efficiencies and productivity, we have selected C3.ai as our partner for artificial intelligence."
Proven results in weeks, not years
Get insights into BakerHughesC3.ai’s capabilities, enterprise AI best practices, and highest-value use cases.
Understand BHC3 AI Suite's capabilities, its model-driven architecture, and test it against your company's sample data set.
Identify a high-impact business problem and collaborate with the BakerHughesC3.ai team to rapidly build an AI application that solves it.
Scale and deploy a tested BakerHughesC3.ai application into production. Incorporate user feedback and optimize algorithms to drive maximum economic value.