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:
Apr. 02, 2024

Filed:

Feb. 10, 2021
Applicant:

Saudi Arabian Oil Company, Dhahran, SA;

Inventors:

Leyla Ismailova, Moscow, RU;

Sergey Safonov, Moscow, RU;

Egor Tirikov, Moscow, RU;

Mokhles Mezghani, Dhahran, SA;

Mustafa Al Ibrahim, Safwa, SA;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
E21B 49/00 (2006.01);
U.S. Cl.
CPC ...
E21B 49/003 (2013.01); E21B 49/005 (2013.01); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05);
Abstract

A method for formation properties prediction in near-real time may include obtaining lab measurements of existing drill cuttings at a plurality of depths of a first well. The method may include obtaining historical drilling surface data at the plurality of depths from a plurality of wells. The method may include obtaining real-time digital photos and real-time drilling surface data of new drill cuttings at a new depth of a new well. The method may include generating, using a prediction model, predicted formation properties of the new drill cuttings based on the real-time digital photos, the real-time drilling surface data, and the new depth. The method may include predicting, using a near-real-time model and the predicted formation properties, near-real-time formation properties in the new well, wherein the prediction model comprises a historical model that employs a machine-learning algorithm.


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