{"best_for":["Geoscientists","Reservoir engineers","Oil and gas companies","Energy companies"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/schlumberger-petrel-e-p-software-platform","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/schlumberger-petrel-e-p-software-platform.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-038.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: schlumberger petrel e p software platform (https://aitoolsforbusiness.ai/schlumberger-petrel-e-p-software-platform)"},"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."],"freshness_status":"fresh","name":"schlumberger petrel e p software platform","pricing_note":"Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.","pricing_url":null,"primary_category":"Other","profile_last_verified":"2026-06-23T14:20:08.406Z","secondary_categories":[],"short_description":"Subsurface software for geoscientists and engineers to analyze data and collaborate across the exploration-to-production lifecycle.","slug":"schlumberger-petrel-e-p-software-platform","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/schlumberger-petrel-e-p-software-platform","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."],"website_url":"https://www.slb.com/petrel"}