Intelligence for Shale
Unlock insights with a 3D view of the subsurface and connected analytics built for the future of energy.
Empower your team
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 Founder & CEO of Petro.ai
Built differently. Revolutionary pricing.
Solutions
Petro.ai Community Edition
A risk-free start on your Connected Energy Analytics journey, bringing cross-disciplinary teams together for a single view of the most important drivers of unconventional production.
An Immersive 3D View of the Subsurface
Petro.ai Earth Technology delivers a single view of public subscription data and private geotechnical data, offering insights to previously hidden optimization opportunities.
Machine Learning & Data Science
Accelerate digital transformation and create powerful analytics across the complete well lifecycle.
Geo Pad Optimization
Deliver the next wave of optimization in shale development with insights from modern geomechanics.
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.
Events
Latest Articles
Petro.ai Newsreel: All the News You Need to Know
Charles Connell, VP of Product, introduces the new services in the Petro.ai platform.
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.
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.
