Near real-time return-on-fracturing-investment optimization for fracturing shale and tight reservoirs
US10935684B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 24, 2016 |
| Grant date | Mar 2, 2021 |
| Priority date | — |
| Expiry date | Jun 24, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01V2210/646
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Near real-time methodologies for maximizing return-on-fracturing-investment for shale fracturing. An example system can calculate, based on sonic data and density data, mechanical properties and closure stress of a portion of shale rocks for fracture modeling. The system can generate one or more rock mechanical models based on the mechanical properties and closure stress of the portion of shale rocks, and perform one or more fracture modeling simulations based on one or more treatment parameter values. Based on the one or more fracture modeling simulations, the system can generate a neural network model which predicts a fracture productivity indicator of an effective propped area (EPA) and/or an effective propped length (EPL), and calculate a return-on-fracturing-investment (ROFI) based on the EPA or EPL predicted by the neural network model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.