Method for analyzing cement integrity in casing strings using machine learning
US10858933B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 18, 2016 |
| Grant date | Dec 8, 2020 |
| Priority date | — |
| Expiry date | May 1, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01V2210/542
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The present disclosure provides methods and systems for analyzing cement integrity in a depth interval of a wellbore having a multiple string casing with an innermost annulus disposed inside at least one outer annulus. The method includes processing ultrasonic data obtained from ultrasonic measurements on the interval of the wellbore to determine properties of the innermost annulus. The method also includes processing sonic data obtained from sonic measurements on the interval of the wellbore to extract features of the sonic data. The features of the sonic data are input to a machine learning processing to determine properties of both the innermost annulus and the least one outer annulus. Additional processing of ultrasonic and sonic data can also be used to determine properties of both the innermost annulus and the least one outer annulus. These properties can be used to analyze cement integrity in the depth interval of the wellbore.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.