Intelligence for Shale

Intelligence for Shale

Unlock insights with a 3D view of the subsurface and connected analytics built for the future of energy.

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  • Supercharge reservoir engineering with modern data science

    Eliminate repetition and auto-forecast thousands of wells in minutes. Automate the creation of type curves and generate economic forecasts for oil, gas, and NGL streams. Examine outcomes in a variety of price regimes and development scenarios.

    Key Features

    • Designed for multiphase flow and multi-segment declines, full control over decline models
    • Rapid calculation of accurate forecasts, 95% accuracy
    • Gunbarrel and well spacing with geomechanics
    AI and other aspects of digitalization will make engineers’ jobs easier, not replace them.
    Dr. Troy Ruths
    Dr. Troy Ruths Founder & CEO of Petro.ai
Solutions

Built differently. Revolutionary pricing.

Solutions

Team of Experts

Team of Experts

Petro.ai uses AI and Machine Learning to empower domain experts, data scientists, and executives with instant information in the right context, energizing teams and transforming data into action.

  • Microsoft Azure
  • MongoDB
  • Amazon Web Services
  • Open Subsurface Data Universe™

Start Today

Get the free Petro.ai Community license for unlimited users with 1 GB storage.

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Feb 24

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Latest Articles

Petro.ai Newsreel:  All the News You Need to Know

Petro.ai Newsreel: All the News You Need to Know

Charles Connell, VP of Product, introduces the new services in the Petro.ai platform.

Rosemary Jackson
Finding the Best Payout for Your Stacked Pay

Finding the Best Payout for Your Stacked Pay

The Petro.ai version of stacked pay analysis in the Pad Scenario Designer App is visited below. ROI is maximized in this modeling app through calculations that come from drainage including vertical stress profiles and frac geometries. Tradeoffs are created by moving wells between the layers in our stacked pay environment and evaluated as the associated ROI changes.

Rosemary Jackson
Well Spacing Design as Stacked Pay is Exploration in Shale

Well Spacing Design as Stacked Pay is Exploration in Shale

What determines well spacing design in unconventional plays? The placement of wells in a pad is based on vertical stress, ISIPs, drainage, microseismic data, fracture growth, parent/child interactions, stress shadow and acreage lithology. Well spacing design is exploration in shale. Exploration facilitated by using tools like the Pad Scenario Designer in Petro.ai which combines multi-variate calculations to produce an ROI value for each modeled pad configuration.

Rosemary Jackson
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