AI TOOL PROFILE

Petrel Subsurface Software | SLB

Petrel helps energy companies and geoscientists analyze subsurface data and manage reservoir characterization. It is designed for teams that need a shared vision of a reservoir to support decision-making across E&P workflows.

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

At a glance

Best for
Geoscientists, Reservoir engineers, Oil and gas companies, Energy companies
Key use cases
Subsurface Interpretation, Reservoir Characterization, Multi-Disciplinary Collaboration, New Energy Analysis
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How AI is used

Petrel is a subsurface data analysis platform by SLB for geoscientists, reservoir engineers, and petrotechnical professionals. The software supports data analysis from exploration through to production, allowing different technical disciplines to maintain a shared view of the reservoir.

Key Features

  • Live Collaboration

    Supports teamwork in geophysical and geological interpretation across various data types in real time.

  • ML-Assisted Interpretation

    Includes machine learning tools for fault prediction, horizon tracking, and quantitative interpretation.

  • Fluid Migration Analysis

    Analyzes migration pathways and CO2 storage potential on seismic volumes.

  • Conventional Model Builder

    A plug-in designed to support the generation of simulation models for conventional reservoirs.

  • Local Grid Refinements (LGRs)

    Allows users to increase model resolution near wells, faults, or specific regions of interest.

  • Delfi Domain Profiles

    Provides browser-based access with subscription profiles covering the E&P life cycle.

Use Cases

  • Subsurface Interpretation

    Using machine learning to assist in the identification of faults and horizons.

  • Reservoir Characterization

    Building conventional models and analyzing fluid migration to support development planning.

  • Multi-Disciplinary Collaboration

    Connecting geoscientists and engineers in a real time environment to support workflows.

  • New Energy Analysis

    Evaluating conditions for carbon capture, storage, and lithium brine resource estimates.

FAQ

Who is Petrel designed for?

It is designed for geoscientists, reservoir engineers, and petrotechnical professionals working in oil, gas, and new energy sectors.

How is Petrel deployed?

Petrel can be run as on-premise software or accessed through the Delfi digital platform via domain profiles.

Does Petrel use AI or machine learning?

Yes, it includes machine learning-assisted tools for fault interpretation, horizon interpretation, and quantitative interpretation.

Source category: Other

Source subcategory: Oil & Gas Software

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