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. 30, 2024

Filed:

Feb. 14, 2020
Applicant:

King Fahd University of Petroleum and Minerals, Dhahran, SA;

Inventors:

Md Rafiul Hassan, Dhahran, SA;

Muhammad Imtiaz Hossain, Dhahran, SA;

Abdulazeez Abdulraheem, Dhahran, SA;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 7/01 (2023.01); G06N 3/086 (2023.01); G01N 15/08 (2006.01); G01N 33/24 (2006.01); E21B 49/00 (2006.01);
U.S. Cl.
CPC ...
G06N 7/01 (2023.01); E21B 49/00 (2013.01); G01N 15/08 (2013.01); G01N 33/246 (2013.01); G06N 3/086 (2013.01);
Abstract

Systems, methods, and apparatuses are provided for permeability prediction. The method acquires data associated with one or more geological formations, calculates, using processing circuitry and a trained Hidden Markov model, log-likelihood values to group the data into a plurality of clusters, and trains an artificial neural network for each of the plurality of clusters when the mode of operation is training mode. Further, the method acquires one or more formation properties corresponding to a geological formation, determines using the trained Hidden Markov model, a log-likelihood score associated with the one or more formation properties, identifies a cluster associated with the one or more formation properties as a function of the log-likelihood score, and predicts a permeability based at least in part on the one or more formation properties and a trained artificial neural network associated with the identified cluster when the mode of operation is forecasting mode.


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