Subscriptions available in Domain profiles on Delfi
Choose the solutions you need from our subscription profiles. Available domain profiles cover the entire E&P life cycle.
Petrel software
Enable discipline experts to work together and make the best possible decisions from exploration to production
Shared Earth - Critical Insight
Petrel™ subsurface software is available on-premise and in the Delfi digital platform, for geoscientists and engineers to analyze subsurface data from exploration to production, enabling them to create a shared vision of the reservoir. This shared earth approach empowers companies to standardize workflows across E&P and make more informed decisions with a clear understanding of both opportunities and risks.
Domain profiles on Delfi
Petrel is available in domain profiles on Delfi
Latest features
Machine learning (ML) for facies modeling
A new generation of facies modeling is emerging, powered by machine learning and designed to overcome the limitations of traditional geostatistical workflows.
This innovation uniquely combines geostatistics with advanced machine learning (embedded model estimator [EMBER]), embedding geological rules directly into the learning process. The result is a step-change in capability: models that are not only data-driven, but geologically consistent, uncertainty-aware, and fully scalable.
Unlike conventional approaches that are labor-intensive, sequential, and often biased, this ML-driven solution delivers faster, automated, and more reliable facies models, reducing manual effort by up to 75% while preserving spatial continuity and honoring well and seismic data.
What makes this capability truly unique in the market is its ability to:
- Integrate multi-source data seamlessly (wells, properties, seismic, surfaces).
- Learn complex geological patterns across depositional environments (clastics and carbonates).
- Deliver unbiased facies probabilities and robust predictions.
- Generate multiple geologically consistent scenarios with quantified uncertainty.
- Automate QC and validation, including blind well testing.
By capturing depositional architecture and heterogeneity more accurately, this approach enables better-constrained reservoir models and more confident field development decisions. Ultimately, ML facies modeling introduces a new industry paradigm: simple, fast, and predictive modeling, where uncertainty is quantified, geology is respected, and decisions are accelerated.
Petrel geological scenario modeling: Simplify your modeling workflow. Unlock scenarios.
Petrel™ geological scenario modeling redesigns the structural modeling experience, embedding automation and guided workflows to deliver high quality structural models faster while expanding uncertainty coverage.
From interpretation through robust structural frameworks, Petrel geological scenario modeling leverages automation and machine learning (ML) tools to reduce manual editing, accelerate data preprocessing, and significantly cut modeling cycle times.
With integrated support for multi-scenario modeling within uncertainty and optimization workflows (and connection with agile reservoir modeling), users can explore alternative structures, widen uncertainty coverage and improve confidence in subsurface decision-making.
Machine learning for everyone
Easily accessible for on-prem Petrel users
Available for all Petrel software users
Video series
How to - Petrel video series
Discover the capabilities of Petrel through our demo video series. Learn about advanced features, practical applications, and tips to enhance your workflow. Explore what you can achieve with Petrel today!
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ML on-prem fault interpretation
Machine learning assisted fault interpretation is a geoscience driven fault prediction solution in PetrelMachine learning assisted fault interpretation is a geoscience driven fault prediction solution in Petrel.
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U&O Auto identify uncertainty parameters
Certain processes in Petrel allow you to auto identify uncertainty parameters in the U&O processCertain processes in Petrel allow you to auto identify uncertainty parameters in the U&O process.
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Histogram discrete display overlay backup save
It is now possible to add a statistics table to a histogram windowIt is now possible to add a statistics table to a histogram window.
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ML horizon interpretation
Machine learning assisted horizon interpretation enables tracking of multiple waveforms simultaneouslyMachine learning assisted horizon interpretation enables tracking of multiple waveforms simultaneously.
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ML quantitative Interpretation
Machine learning assisted quantitative interpretation is now available in PetrelMachine learning assisted quantitative interpretation is now available in Petrel.
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Perceptual Color Tables in Petrel
Perceptual colour tables have been added to Petrel 2024Perceptual colour tables have been added to Petrel 2024.
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Petrel Automated Well Tie
A new process in Petrel designed for rapid estimation of single and multi-well waveletsA new process in Petrel designed for rapid estimation of single and multi-well wavelets.
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Creating a sequence stratigraphy log in Petrel
Creating a sequence stratigraphy log in Petrel.Follow these steps
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U&O Shortcut to open processes
Defining uncertainty variables is an important step in any uncertainty workflowDefining uncertainty variables is an important step in any uncertainty workflow.
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Well data browser - filter wells by polygon
The well data browser can be used to interrogate wells, logs, and well topsThe well data browser can be used to interrogate wells, logs, and well tops.
Petrel subsurface software
Petrel core systems
Base configuration, providing an integrated platform for geoscience and reservoir engineering.
Petrel drilling
An integrated environment for geoscience and drilling from well design to geosteering
Petrel geology and modeling
Full suite of tools including petroleum systems modeling, well correlation, mapping, and geocellular modeling
Petrel geophysics
An unparalleled productivity environment, completely scalable with integrated pre- and poststack geophysical workflows
Petrel geomechanics
Integrated 3D and 4D geomechanics modeling and analysis workflows to understand subsurface behavior and plan wells in complex environments.
Petrel reservoir engineering
A collaborative environment for reservoir characterization, development planning, production evaluation, and optimizing reservoir performance.
Petrel unconventionals
Enhance the evaluation, development, and production of unconventional resources
Petrel guru
Quality and capability tool, including in-context guidance, guided and QC workflows, with the ability to capture knowledge and best practices.
Related Products
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GPM geological process modeling software
Improve reservoir prediction in clastic and carbonate sedimentsImprove reservoir prediction in clastic and carbonate sediments.
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Studio E&P knowledge software
Multiuser knowledge collaborationMultiuser knowledge collaboration and sharing to improve multidisciplinary productivity.
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Domain Profiles on Delfi
Brings together our collection of digital solutions for petrotechnical workflowsBrings together our collection of digital solutions for petrotechnical workflows.
