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:
Sep. 26, 2023

Filed:

Mar. 03, 2023
Applicant:

Chengdu University of Technology, Chengdu, CN;

Inventors:

Jun Li, Chengdu, CN;

Zhengwei Xu, Chengdu, CN;

Xuben Wang, Chengdu, CN;

Rui Wang, Chengdu, CN;

Shengxian Liang, Chengdu, CN;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/27 (2020.01); G06F 111/04 (2020.01);
U.S. Cl.
CPC ...
G06F 30/27 (2020.01); G06F 2111/04 (2020.01);
Abstract

Disclosed are a hybrid density abrupt interface inversion method based on machine learning constraints. The inversion method includes constructing an initial basin interface and randomly generating a disturbed basin interface data set; obtaining a basin interface data set through Hadamard product operation on the initial basin interface and the disturbed basin interface data set; obtaining a high-resolution density interface model data set through filling the basin interface data set with advanced functions; performing forward calculation to obtain a simulated gravity data set; carrying out mathematical transformation on the simulated gravity data set and weighting to obtain a low-resolution migration density interface model data set; optimizing a migration model-based deep learning network and mapping to obtain a high-resolution constrained density interface prior model; and constructing a stable nonlinear loss function and performing regularization inversion to obtain a high-resolution density interface model.


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