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:
Nov. 28, 2023

Filed:

Dec. 14, 2021
Applicant:

Shandong University, Shandong, CN;

Inventors:

Bin Liu, Jinan, CN;

Yuxiao Ren, Jinan, CN;

Peng Jiang, Jinan, CN;

Senlin Yang, Jinan, CN;

Qingyang Wang, Jinan, CN;

Xinji Xu, Jinan, CN;

Duo Li, Jinan, CN;

Assignee:

SHANDONG UNIVERSITY, Jinan, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/30 (2006.01);
U.S. Cl.
CPC ...
G01V 1/303 (2013.01); G01V 2210/6222 (2013.01); G01V 2210/66 (2013.01);
Abstract

A multi-scale unsupervised seismic velocity inversion method based on an autoencoder for observation data. Large-scale information is extracted by the autoencoder, which is used for guiding an inversion network to complete the recovery of different-scale features in a velocity model, thereby reducing the non-linearity degree of inversion. A trained encoder part is embedded into the network to complete the extraction of seismic observation data information at the front end, so it can better analyze the information contained in seismic data, the mapping relationship between the data and velocity model is established better, then the inversion method is unsupervised, and location codes are added to the observation data to assist the network in perceiving the layout form of an observation system, which facilitates practical engineering application. Thus a relatively accurate inversion result of the seismic velocity model when no real geological model serves as a network training label can be achieved.


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