Act on emissions and optimize energy performance
Reduce emissions, improve efficiency, and automate sustainability workflows across assets, facilities, and energy systems.
Measurement and planning are essential, but real impact comes from execution.
Many organizations struggle to translate sustainability strategies into practical action. Disconnected systems, manual processes, and limited real-time visibility can all prevent effective execution.
SLB digital solutions for execution and optimization help translate sustainability insights into actions that improve emissions and energy performance across relevant workflows and assets, including decarbonization solutions such as Digital CCUS, Digital Geothermal, and low-carbon energy systems.
By combining a wide range of data sources, advanced analytics, and automation, organizations can:
- Reduce emissions during asset and facility activities.
- Optimize energy consumption across facilities and systems.
- Automate sustainability workflows.
- Improve performance while meeting sustainability targets.
Core execution and optimization capabilities
Real-time performance optimization
Continuously optimize relevant assets, facilities, and energy systems to reduce emissions and improve efficiency.
Energy efficiency optimization
Identify and implement improvements in energy usage across assets, facilities, and systems.
Automation of sustainability workflows
Automate decision support and repeatable workflows to reduce manual intervention and accelerate response times.
Use of digital twins
Use digital twins to simulate, monitor, and optimize asset, facility, and energy system performance.
Continuous performance monitoring
Track emissions and energy performance in real time to support ongoing optimization.
From insights to action
Our solutions help organizations move from analysis to execution by embedding optimization into relevant technical, asset, and business workflows.
Examples include:
- Adjusting production parameters to reduce emissions.
- Optimizing facility performance to improve energy efficiency.
- Automating responses to emissions anomalies.
- Balancing production targets with sustainability constraints.
These capabilities help make sustainability part of day-to-day decision-making, not a periodic activity.
Applications across assets, facilities, and energy systems
- Real-time emissions reduction in production systems.
- Facility energy optimization.
- Methane emissions reduction workflows.
- Automation of sustainability and performance decision-making.
- Planning and operational optimization of CCUS performance and monitoring workflows.
- Geothermal system performance optimization, including subsurface interpretation, fracture characterization, permeability sweet spot identification, production forecasting, well placement support, and surface facility planning.
Business outcomes
- Achieve measurable emissions reduction.
- Improve efficiency and performance across assets, facilities, and energy systems.
- Reduce energy costs across assets and facilities.
- Accelerate implementation of sustainability strategies.
- Enable continuous optimization and improvement.
- Align asset, facility, and business performance with sustainability targets.
Sustainability action, not just reporting
Many sustainability solutions stop at measurement or planning. We put the focus on execution, where real value is created.
Unlike traditional approaches we:
- Embed optimization into relevant workflows and decision processes.
- Use data to drive meaningful decisions and action.
- Automate actions to reduce emissions.
- Connect sustainability performance with asset, facility, and business performance.
This helps sustainability initiatives deliver tangible performance, emissions, and financial results.
Built on SLB domain expertise and scalable digital capabilities
Data foundation
Support consistent, governed, and trusted emissions, energy, and performance data across relevant source systems and workflows.
Technical and asset context
Use relevant asset, facility, process, and energy system models where applicable to connect sustainability actions with performance outcomes.
Domain workflows
Deliver specialized workflows for emissions monitoring, optimization, automation, reporting, and analysis.
This approach helps scale sustainability execution and reduce siloed initiatives.
Automation and advanced analytics at scale
SLB solutions combine data, analytics, and automation to drive continuous improvement, while supporting practical outcomes such as easier reporting, auditable workflows, automated collection steps, report generation, work orders, and action management.
- AI-driven optimization and predictive analytics.
- Automated workflows and decision support.
- Scalable deployment across assets and regions.
This enables organizations to move from reactive to proactive sustainability management.
Extend your sustainability workflows
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Digital sustainability for energy and industrial performance
Measure | Plan | Act | ResourcesMeasure, plan, and act on emissions and energy performance with trusted emissions data, scenario-based planning, and scalable execution workflows across assets, portfolios, and energy systems.
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Measure emissions with confidence across assets and portfolios
Accurate, automated, and scalable emissions monitoring and MRV workflows integrated into your operational systemsAccurate, automated, and scalable emissions monitoring and measurement, reporting, and verification (MRV) workflows using trusted data from relevant source systems
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Plan decarbonization pathways with confidence
Plan your best path to a more sustainable future.Forecast emissions, model scenarios, and optimize strategies using technical, asset, and business data.
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Digital Sustainability Resources
View the sustainability glossary- a guide to commonly used terms and acronymsA collection of featured resources for sustainability and decarbonization topics.
Frequently asked questions
How can digital solutions support faster emissions reduction?
They use available data, analytics, and automation to identify opportunities, support faster decisions, and optimize assets, facilities, and energy systems over time.
What is performance optimization in sustainability?
It involves improving processes, assets, and systems to reduce emissions and energy usage while maintaining performance.
How do digital twins support sustainability?
They enable simulation and optimization of assets, facilities, and energy systems, helping identify and implement improvements.
What role does automation play in emissions reduction?
Automation enables faster responses and continuous optimization, reducing reliance on manual processes.
Turn strategy into measurable impact
Reduce emissions, improve performance, and achieve sustainability goals with digital sustainability solutions from SLB.
Speak with an expertExtend your sustainability workflows
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Digital sustainability for energy and industrial performance
Measure | Plan | Act | ResourcesMeasure, plan, and act on emissions and energy performance with trusted emissions data, scenario-based planning, and scalable execution workflows across assets, portfolios, and energy systems.
-
Measure emissions with confidence across assets and portfolios
Accurate, automated, and scalable emissions monitoring and MRV workflows integrated into your operational systemsAccurate, automated, and scalable emissions monitoring and measurement, reporting, and verification (MRV) workflows using trusted data from relevant source systems
-
Plan decarbonization pathways with confidence
Plan your best path to a more sustainable future.Forecast emissions, model scenarios, and optimize strategies using technical, asset, and business data.
-
Digital Sustainability Resources
View the sustainability glossary- a guide to commonly used terms and acronymsA collection of featured resources for sustainability and decarbonization topics.
