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Petra

Advance your E&P workflows to find more oil and gas.

Petra® is a cost-effective software solution for managing, manipulating and visualizing integrated geological, geophysical and engineering data. Geologists, engineers, technicians and analysts use Petra for exploration, exploitation, infill drilling, reserves analysis, unconventional plays, production analysis and more. With Petra, you can quickly visualize results using mapping, cross-sections, seismic interpretations, log plots, cross-plots, production and reservoir analysis, and 3D visualization. To maximize your subscription, IHS Markit offers technical support as well as Petra training courses at select locations and on site, by request.

Ranked high in the upper right quadrant of the Welling Report for easy-to-use geological interpretation software, Petra enables you to:

  • Expedite drilling decisions with shorter cycle times
  • Integrate large IHS well, production and log datasets
  • Quickly define reservoirs and prospects
  • Focus on analysis rather than map-making
  • Analyze mergers, acquisitions and divestitures

Customer Testimonials


Is Petra right for you?

Who uses Petra?How?
Geologists
  • Identify area of interest
  • Integrate well, log and seismic information
  • Target drilling and recompletions
Drilling Engineers
  • Derive surface and profile plans
  • Analyze planned borehole paths
  • Perform cost estimates and analysis
Reservoir Engineers
  • Identify recompletion and drilling opportunities
  • Optimize production and recovery
  • Analyze reservoir trends
Completion Engineers
  • Model completion performance
  • Provide technical specifications and operating instructions
  • Optimize completion and workover designs and operations
Production Engineers
  • Evaluate separation of produced fluids
  • Monitor downhole flow control
  • Maximize profitability
Technologists
  • Load information
  • Verify and quality check information
  • Collaborate on project development
Petrophysicists
  • Understand reservoir properties
  • Perform well, core and log analysis
  • Build reservoir models
  • Evaluate reservoir models
Managers
  • Assess strategy
  • Manage risk
  • Ensure compliance

Build your project with direct access to IHS Energy E&P information

IHS Well Information
  • 4+ million current and historic well records
  • Continuously updated well header, formation top, logs run, completion, production test information and more
IHS Raster & Digital Well Log Information
  • 2.6+ million depth-registered raster images
  • 250,000+ digital logs
IHS Production Information
  • Production information within days of receipt from the regulatory authorities
  • Fluids, operation hours, injection records, ratios and cumulative values
IHS Directional Survey Information
  • Surveys for determining potential productivity, pressure, permeability and extent of oil or gas reservoirs or formations in open well bores
  • Information to understand the wellbore path from surface to reservoir, particularly for unconventional plays
IHS Interpreted Formation Tops Information
  • Information for mapping gross geologic structures within a consistent stratigraphic framework for an entire basin, increasing depositional environment understanding, and validating new or existing prospects

Integrate Petra with IHS Energy analytics for extended analysis

Related IHS applicationDescriptionIntegrate with Petra to:
AccuMap®Desktop access to land, well, pressure, production, pipelines, core, reserves and logs data for the Western Canadian Sedimentary Basin and Frontier areas, as well as Montana, North Dakota and WyomingPerform in-depth analysis of well-centric data for Canada and US; quickly evaluate prospects
Energy Web ServicesAPI, Direct Connect and third-party software options for connecting your IHS Energy data subscription with IHS Energy software solutionsUpload your IHS Energy data subscription into Petra
GeoSyn®Global synthetic generation, cross-plotting, AVO analysis and 2D modeling package designed for geoscientistsExport synthetics and 2D models into Petra to test multiple scenarios and achieve the best results
Information HubCentral repository of all IHS quality-controlled Canadian energy dataPerform in-depth analysis of Canadian well data
LOGarc®A global well information management system that allows you to integrate well log information with existing in-house mapping and analysis toolsPerform mapping and analysis
PowerTools®Easy-to-use analytical tool for evaluating US reserves and economics and lease and well production performanceDevelop a short list of “hot” areas, prospects and operating strategies; plan for future production and depletion of your reservoirs; benchmark production for tight gas sand reservoirs
Enerdeq® BrowserUser-friendly browser that allows you to quickly access US upstream informationStreamline workflows, access the most current data, quickly evaluate prospects, and make decisions faster
FieldDIRECT®Field-to-office service that captures daily US field production information and stores it in a secure server for you and your team to analyze immediatelyConduct historical trending, analyze ROI on workovers and perform reservoir analysis; develop a short list of “hot” areas, prospects and operating strategies; plan for future production and depletion of your reservoirs

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Dec 02

Now that we know how much #oil a supertanker holds- how much does it cost to operate one each day? Ouch, what a bil… https://t.co/vrSOXyFh6T

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Oct 26

Do investments in oil and gas constitute “systemic risk”?

IHS Energy Strategic Report by Daniel Yergin and Elena Pravettoni A new IHS Energy report disputes concerns by some central banks and regulators that climate change may pose “systemic risk” to the financial system.  This view was notably articulated by Mark Carney, Governor of the Bank of England, who declared in a September 2015 speech th..more

Oct 21

Fault enhancements and visualization with 3D log-Gabor filter array

Many seismic attributes today reveal fault and fracture patterns. However, these fault attributes often suffer from noise or artifacts in the input data, resulting in data that is not high enough a quality for automatic fault pickers to use directly without a post-attribute enhancement. In a paper written for and presented in Dall..more


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