Inverse analysis of horizontal earth stresses based on borehole mechanics and soft computing

Title:

Inverse analysis of horizontal earth stresses based on borehole mechanics and soft computing

Creator:

Zhang, Shike and Yin, Shunde

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:a76b5d29-b998-4347-9e98-d7c6fa65c8a4
uuid:a76b5d29-b998-4347-9e98-d7c6fa65c8a4

Subject:

earth stress, borehole mechanics, inverse analysis, artificial neural network, and genetic algorithm

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

This paper presents a hybrid model based on the displacement back analysis to estimate the earth stress magnitude and direction from the obtained borehole displacements. An artificial neural network (ANN) is used to map the non-linear relationship between the maximum horizontal earth stress, σH, the minimum horizontal earth stress, σh, the direction of the largest horizontal earth stress, θ and the borehole displacements. The genetic algorithm (GA) is used to search the set of unknown earth stresses and direction according to the objective function. Results of the numerical experiments show that the displacement back analysis method can effectively identify the earth stress based on the wellbore motions during drilling. and Obsahuje seznam literatury

Language:

English

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

393-409

Source:

Engineering mechanics: international journal for theoretical and applied mechanics | 2014 Volume:21 | Number:6

Harvested from:

CDK

Metadata only:

false