

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.
Supports teamwork in geophysical and geological interpretation across various data types in real time.
Includes machine learning tools for fault prediction, horizon tracking, and quantitative interpretation.
Analyzes migration pathways and CO2 storage potential on seismic volumes.
A plug-in designed to support the generation of simulation models for conventional reservoirs.
Allows users to increase model resolution near wells, faults, or specific regions of interest.
Provides browser-based access with subscription profiles covering the E&P life cycle.
Using machine learning to assist in the identification of faults and horizons.
Building conventional models and analyzing fluid migration to support development planning.
Connecting geoscientists and engineers in a real time environment to support workflows.
Evaluating conditions for carbon capture, storage, and lithium brine resource estimates.
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
It is designed for geoscientists, reservoir engineers, and petrotechnical professionals working in oil, gas, and new energy sectors.
Petrel can be run as on-premise software or accessed through the Delfi digital platform via domain profiles.
Yes, it includes machine learning-assisted tools for fault interpretation, horizon interpretation, and quantitative interpretation.
Source category: Other
Source subcategory: Oil & Gas Software
Petrel is subsurface analysis software for geoscientists and reservoir engineers. It supports the exploration-to-production workflow using machine learning for fault and horizon interpretation and live collaboration tools. Users can choose between an on-premise installation or the Delfi cloud-based subscription model.