Patent · US Active

Fluid type identification from downhole fluid analysis using machine learning techniques

US12146406B2 · kind B2 · utility

0Cited by

5References

14Claims

0Family size

Assignee

SCHLUMBERGER TECHNOLOGY CORPORATION · US

Inventors

Shahnawaz Hossain Molla · Watertown, US
Farshid Mostowfi · Boston, US
John Nighswander · Katy, US
Adriaan Gisolf · Sugar Land, US
Kai Hsu · Sugar Land, US
Shunsuke Fukagawa · Yokohama, JP
Thomas Pfeiffer · Kumhausen, DE

Key dates

Filing date	Oct 22, 2020
Grant date	Nov 19, 2024
Priority date	—
Expiry date	Dec 31, 2041

Classification

Technology area (CPC E)Fixed Constructions
CPC primaryE21B2200/22
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

Embodiments present a method for fluid type identification from a downhole fluid analysis that uses machine learning techniques that are trained and derived from a computer model using pressure, temperature and downhole optical characteristics of sampled fluid.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.