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. 18, 2022

Filed:

May. 15, 2019
Applicants:

Ifp Energies Nouvelles, Rueil-Malmaison, FR;

Sorbonne Université, Paris, FR;

Centre National DE LA Recherche Scientifique, Paris, FR;

Inventors:

Pauline Le Bouteiller, Rueil-Malmaison, FR;

Jean Charlety, Rueil-Malmaison, FR;

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/30 (2006.01); E21B 41/00 (2006.01); E21B 49/00 (2006.01);
U.S. Cl.
CPC ...
G01V 1/301 (2013.01); E21B 41/0092 (2013.01); E21B 49/00 (2013.01); G01V 1/307 (2013.01);
Abstract

The invention is a method applicable to oil and gas exploration and exploitation for automatically detecting geological objects belonging to a given type of geological object in a seismic image, on a basis of a priori probabilities of belonging to a type of geological object assigned to each of samples of the image to be interpreted. The image is transformed into seismic attributes applied beforehand, followed by a classification method. For each of the classes, an a posteriori probability of belonging to a type of geological object is determined for each of the samples of the class according to the a priori probabilities, of the class, of belonging, and according to a parameter α describing a confidence in the a priori probabilities of belonging. Based on the class of the sample, the determined a posteriori probability of belonging to a type of geological object is assigned for the samples of the class. The geological objects belonging to the type of geological object are detected based on determined of the a posteriori probabilities of belonging to the type of geological object for each of the samples of the image to be interpreted.


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