Spectral analysis and machine learning for determining cluster efficiency during fracking operations
US11740377B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 10, 2020 |
| Grant date | Aug 29, 2023 |
| Priority date | — |
| Expiry date | Dec 10, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldCivil engineering
- WIPO sectorOther fields
Abstract
This disclosure presents systems, methods, and apparatus for determining cluster efficiency during hydraulic fracturing, the method comprising: measuring acoustic vibrations in fracking fluid in a fracking wellhead, circulating fluid line, or standpipe of a well; converting the acoustic vibrations into an electrical signal in a time domain; recording the electrical signal to memory; analyzing the electrical signal in the time domain for a window of time and identifying two amplitude peaks corresponding to a fracture initiation; measuring a time between the two amplitude peaks; dividing the time by two to give a result; multiplying the result by a speed of sound in the fracking fluid to give a distance between the fracture initiation and a plug at an end of a current fracking stage of the well; and returning a location of the fracture initiation to an operator based on the distance between the fracture initiation and the plug.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.