The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 10, 2023

Filed:

Jul. 28, 2020
Applicants:

Schlumberger Technology Corporation, Sugar Land, TX (US);

Saudi Arabian Oil Company, Dhahran, SA;

Inventors:

Sharath Chandra Mahavadi, Lexington, MA (US);

Robin Singh, Oakmont, PA (US);

Wael Abdallah, Al-Khobar, SA;

Mohammed Al-Hamad, Saihat, SA;

Bastian Sauerer, Khobar, SA;

Shouxiang Ma, Dhahran, SA;

Leilei Zhang, Houston, TX (US);

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/28 (2006.01); E21B 49/08 (2006.01); G06F 30/27 (2020.01); G01N 11/00 (2006.01); G01N 9/00 (2006.01); G01V 99/00 (2009.01); E21B 47/07 (2012.01); G06F 111/10 (2020.01); E21B 41/02 (2006.01); E21B 49/10 (2006.01); E21B 43/38 (2006.01);
U.S. Cl.
CPC ...
G06F 30/27 (2020.01); E21B 47/07 (2020.05); E21B 49/081 (2013.01); E21B 49/0875 (2020.05); G01N 9/00 (2013.01); G01N 11/00 (2013.01); G01N 33/2823 (2013.01); G01V 99/005 (2013.01); E21B 41/02 (2013.01); E21B 43/38 (2013.01); E21B 49/087 (2013.01); E21B 49/10 (2013.01); E21B 2200/20 (2020.05); G06F 2111/10 (2020.01);
Abstract

Methods and systems are provided for characterizing interfacial tension (IFT) of reservoir fluids, which involves obtaining fluid property data that represents fluid properties of a reservoir fluid sample measured downhole at reservoir conditions, and inputting the fluid property data to a computational model that determines a value of oil-water IFT of the reservoir fluid sample based on the fluid property data. In embodiments, the fluid property data represents single-phase fluid properties of the reservoir fluid sample, such as fluid density and viscosity of an oil phase of the reservoir fluid sample and fluid density of a water phase of the reservoir fluid sample. In embodiments, the computation model can be based on machine learning or analytics combined with a thermodynamics-based physics model.


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