Tailored solutions
Tangible value creation
Accelerate business growth and time to value
Our tailored solutions form a suite of proven, reusable, and customizable digital technologies that can accelerate business growth and time to value for customers.
Underpinned by our network of Innovation Factori centers, our tailored solutions use cutting-edge AI and machine learning techniques to deliver mature, deployable solutions to suit use cases across the energy industry.
Tailored solutions for subsurface
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Machine learning-assisted history matching
Our ML-assisted history matching technique has been developed to find the optimum values of subsurface parameters.
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Machine learning-assisted log quality control (QC) and reconstruction
Machine learning for log QC and legacy data reconstruction.
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Machine learning-assisted log normalization and hydrocarbon correction
An ML assisted log normalization and hydrocarbon correction workflow to accelerate preprocessing of logs.
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Machine learning-driven well placement
Petrel software plug-in that automates hotspot detection and well trajectory design to optimize infill well placement under uncertainty.
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Machine learning history matching
Use AI to accelerate history matching.
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Ensemble insights and analytics
Ensemble insights and analytics software combining AI, ML, and physics-based material balance to deliver efficient alternatives without simulation.
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Permeability log estimation
Machine learning predicts reservoir permeability from core and log data.
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Horizontal well calibration
Identify trajectory issues and keep wells in the desired zone.
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AI waterflood Insights
AI waterflood management solution that optimizes reservoir performance using advanced analytics, machine learning, and cloud-based automation.
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Automated dynamic reservoir model initialization
Petrel™ subsurface software plug-in that streamlines the entire workflow for initializing reservoir models.
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Dynamic reservoir model assessment
Automate dynamic model updates and QC.
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Static reservoir model assessment
A Petrel software-integrated solution streamlines the quality control (QC) of static reservoir models through automation and advanced diagnostics.
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Water saturation log calculation
Calculate and apply water saturation modeling within reservoir workflows.
Tailored solutions for drilling
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Stuck pipe averter
Use AI to generate risk classifications for stuck pipe.
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Stuck pipe averter (on-premises)
An on-premises AI solution that proactively manages stuck pipe risks by combining inference with domain expertise.
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Drilling parameter recommender
A deployable ML-based solution designed to optimize drilling performance by identifying the most effective drilling parameters.
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Rig activity scheduler
A deployable ML-based solution designed to optimize drilling performance by identifying the most effective drilling parameters.
Tailored solutions for production
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Electrical submersible pump (ESP) prognostic health management (PHM)
Predicts ESP failure probabilities by analyzing anomalies in operating parameters and correlating them with historical failure patterns.
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Intervention opportunity manager (IOM)—on-premises
Automates the entire manual well review process with advanced analytics, cutting well screening time from weeks to minutes.
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Compressor health and reliability
An advanced machine learning solution to monitor and assess compressor systems to improve operational safety.
Tailored solutions for energy transition
- Anomaly detection for ESP.
- NLP information from daily drilling reports.
- Sand management with Pipesim steady-state multiphase flow simulator.
- Virtual flowmeter choke model.
- Stuck pipe averter.
- Well header extraction from unstructured files.
- AI waterflood insights.
- Automated dynamic reservoir model initialization.
- Machine learning (ML)-assisted unconventional production forecasting.
- ML-assisted marker prediction.
- Log visualization dashboard.
- Automated decline curve analysis production forecasting.
- ESP gas lock detection.
