Tailored solutions
Turn your operational priorities into measurable value.
SLB tailors AI, machine learning, and domain workflows to your data, assets, and decisions—helping your teams act with greater speed, confidence, and consistency.
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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AI waterflood insights
Turn waterflood data into clearer insights that support surveillance and reservoir-management decisions.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
Accelerate model setup and create a more consistent starting point for dynamic reservoir workflows.Petrel™ subsurface software plug-in that streamlines the entire workflow for initializing reservoir models.
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Dynamic reservoir model assessment
Assess dynamic models more efficiently and focus technical review on the factors that influence forecast confidence.Automate dynamic model updates and QC.
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Ensemble insights and analytics
Explore model ensembles and compare uncertainty to support more informed development decisions.Ensemble insights and analytics software combining AI, ML, and physics-based material balance to deliver efficient alternatives without simulation.
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Horizontal well calibration
Calibrate horizontal-well models to strengthen alignment between modeled behavior and available data.Identify trajectory issues and keep wells in the desired zone.
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Machine learning-assisted history matching
Use machine learning to support history-matching workflows and focus expert effort on interpretation and decisions.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 normalization and hydrocarbon correction
Improve consistency across log datasets and support interpretation where hydrocarbon effects require correction.An ML assisted log normalization and hydrocarbon correction workflow to accelerate preprocessing of logs.
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Machine learning-assisted log quality control (QC) and reconstruction
Identify log-quality issues and support reconstruction to create more dependable inputs for interpretation.Machine learning for log QC and legacy data reconstruction.
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Machine learning-assisted tight gas forecasting
Apply machine learning to support forecasting for tight-gas assets and evaluate production outlooks.A machine learning–assisted forecasting solution for tight gas reservoirs that combines engineering physics with AI to predict short-term production.
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Machine learning-driven well placement
Use data-driven analysis to evaluate well-placement options against reservoir objectives.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 machine learning to support history-matching workflows and focus expert effort on interpretation and decisions.Use AI to accelerate history matching.
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Permeability log estimation
Estimate permeability logs to support reservoir characterization where direct measurements are limited.Machine learning predicts reservoir permeability from core and log data.
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Static reservoir model assessment
Evaluate static model quality and uncertainty before models inform downstream decisions.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 water-saturation logs to support formation evaluation and reservoir understanding.Calculate and apply water saturation modeling within reservoir workflows.
Tailored solutions for drilling
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Drilling parameter recommender
Support parameter selection with data-informed recommendations aligned with drilling conditions and objectives.A deployable ML-based solution designed to optimize drilling performance by identifying the most effective drilling parameters.
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AI rig activity scheduler
Support rig-activity planning and sequence work more consistently as operational requirements change.A deployable ML-based solution designed to optimize drilling performance by identifying the most effective drilling parameters.
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Stuck pipe averter
Provide decision support that helps teams recognize and respond to conditions associated with stuck-pipe risk.Use AI to generate risk classifications for stuck pipe.
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Stuck pipe averter (on-premises)
Bring stuck-pipe decision support into an on-premises deployment for defined operating and data requirements.An on-premises AI solution that proactively manages stuck pipe risks by combining inference with domain expertise.
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Tela™ agentic-AI assistant for well schematics advisor
Help users interpret and work with well-schematic information through an agentic-AI assistant.AI-powered solution turns well reports into dynamic Wellbarrier™ solution schematics, speeding P&A and CCUS screening with auditable workflows.
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Tela agentic-AI assistant for offset wells insights
Help teams surface relevant offset-well insights for planning and technical evaluation.Design wells faster and smarter with instant, contextual insights.
Tailored solutions for production
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Compressor health and reliability
Assess compressor condition and support maintenance and reliability decisions with relevant equipment insights.An advanced machine learning solution to monitor and assess compressor systems to improve operational safety.
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Electrical submersible pump (ESP) prognostic health management (PHM)
Support earlier, more informed decisions about ESP condition and performance through prognostic health management.Predicts ESP failure probabilities by analyzing anomalies in operating parameters and correlating them with historical failure patterns.
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Intervention opportunity manager—on-premises
Identify and prioritize intervention opportunities within an on-premises operating environment.Automates the entire manual well review process with advanced analytics, cutting well screening time from weeks to minutes.
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Tela agentic-AI assistant for production analytics advisor
Help teams interrogate production information and surface insights that support performance decisions.Agentic AI workflows streamline production data analysis to spot underperforming wells using forecasting and type curves.
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Tela agentic-AI assistant for Pipesim™ steady-state multiphase flow simulator advisor
Help users navigate steady-state multiphase flow simulation questions and workflows with support from agentic AI.Empower every engineer with the full potential of the Pipesim simulation.
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.
