Official PetroAI Blog
A Machine Learning Approach to Basin Scale Inventory Forecasting
Popular Articles
A Machine Learning Approach to Basin Scale Inventory Forecasting
PetroAI Cloud: Empowering Asset Teams with AI
URTeC: Best of 2022 and More to Come in 2023
Troy Ruths Joins Energy Industry Leaders in Forty Under 40
Our Founder and CEO Troy Ruths joins the exclusive Hart Energy Forty under 40 list. The honorees of the Forty Under 40 list exemplify excellence across various facets of the energy industry. Their collective achievements highlight the importance of innovative leadership, technological advancement, sustainability, and collaboration. These professionals not only drive their organizations forward but also contribute significantly to the broader goals of energy efficiency, environmental stewardship, and industry advocacy.
Creating and Saving Type Curves in PetroAI
New Feature Alert! Use AI models trained on subsurface properties to move beyond analog well comparisons.
Dynamic Inventory Valuation
Creating accurate forecasts for inventory locations is challenging due to both the large number of potential locations and the many variables impacting well performance. With PetroAI, engineers can create unique predictions on each inventory location that account for geology, well design, offset PDP wells, and the timing of development.
Evaluating a Model
Evaluate model performance within each interval, across completion years, and for parent, child, and sibling wells using the DIAG dashboard.
Requesting New Builds in PetroAI Cloud
Navigate between existing model versions (called "builds") and request new sensitivities for PetroAI to run within an existing build.
Evaluate Well Landings with Internal Structure
Land any well in a dataset against internal structure grids. Automatically create gun barrel views, map views, and lateral views.
