Improve Demand Forecasting, Minimize Costs, and Maximize OTIF Performance.

Key Capabilities

Accurate and granular AI-based drilling performance predictions

Accurate and granular AI-based drilling performance predictions

AI-based demand forecasting

  • Increase well productivity with optimal drilling parameters prescriptions such as the rate of penetration, mud weight regime and drilling fluids
  • Optimize steering decisions by augmenting domain knowledge with AI insights
  • Provide probability distribution and confidence intervals to gauge inaccuracies
Drilling design parameters recommendations and scenario analysis

Drilling design parameters recommendations and scenario analysis

Optimal manufacturing and distribution schedules

  • Make optimal design decisions with recommendations on bottom hole equipment selections, configurations and well bore trajectories
  • Analyze and benchmark what-if scenarios to assess the impact of design modifications on well productivity and cost
  • Tune the machine learning models to accommodate any level of drilling operations complexity
AI-enabled drilling Non-Productive Time (NPT) risk predictions

AI-enabled drilling Non-Productive Time (NPT) risk predictions

AI-based change order predictions

  • Enhance offset well analysis efficiency and quality by leveraging machine learning algorithms based on all historical data and planned drilling programs
  • Minimize NPT costs by continuously factoring in real-time and periodic drilling data as well as simulator data
Automated data and context gathering

Automated data and context gathering

Elastic solver for scheduling

  • Readily analyze information and perform timely or automated real-time decisions during drilling operations
  • Interpretable AI insights provide visibility into major drivers
Hybrid predictions leveraging physics-based and deep learning models

Hybrid predictions leveraging physics-based and deep learning models

Scenario analyses

  • Combine ML models with physics-based Baker Hughes or third-party systems to optimize drilling planning and execution
  • Interoperate AI and in-house or third-party simulation models to unlock larger value
  • Enable real time decision making, automated calibration of physics-based model parameters and process control with fast computational time and initial set up
Unified, integrated, and OSDU-compliant

Unified, integrated, and OSDU-compliant

Enterprise-wide collaboration

  • Create a single unified view of the drilling operations integrating all internal and external data (e.g., log data, daily drilling reports, subsurface data, well design and configuration data)
  • Benefit from OSDU interfaces and APIs built in the application to facilitate data exchange through O&G-specific data access and exposition standards
https://bakerhughesc3.ai/wp-content/uploads/2021/04/20_1217_BHC3_Production_Schedule_Optimization.pdf

Application Scope

BHC3 Well Development Optimization can be deployed to any oil and gas drilling operation.

Scope of Insights

Global, regional, local

Daily, weekly, monthly time horizon

Planning

Execution

AI-Insights and Optimization

Non-Productive Time

Drilling Parameters

Drilling Design and Trajectory

Drilling Configuration

Upstream Drilling

Onshore

Offshore

Brownfield

Benefits for Application Users

Data and Architecture


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