DocumentCode
2295783
Title
Improved Gauss-Newton-Marquardt algorithms for displacement back analysis of casing external loads in salt stratum
Author
Yan, Xiangzhen ; Wang, Tongtao ; Yang, Xiujuan ; Feng, Yaorong ; Wang, Jianjun
Author_Institution
Coll. of Storage & Transp. & Archit. Eng, China Univ. of Pet., Dongying, China
Volume
7
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
3354
Lastpage
3358
Abstract
An improved Gauss-Newton-Marquardt (GNM) algorithm is proposed in the paper for displacement back analysis of casing external loads in salt stratum to optimize the solution based on traditional GNM algorithm. In the improved GNM algorithm, the direct solution method of partial derivative used in stochastic finite element method is adopted to substitute the difference method employed in traditional GNM algorithm. The calculation results show that the improved GNM algorithm is more efficient and precise in solving the displacement back analysis of casing external loads in salt stratum than traditional GNM algorithm. And the improved GNM algorithm is worthy to be applied greatly in the engineering practice. The calculating results of displacement back analysis are agreeable with the measured values indicating it´s suitable and valuable in practice. The improved GNM algorithm is versatile and suitable to solve the displacement back analysis problems in other engineering fields.
Keywords
Newton method; finite element analysis; hydrocarbon reservoirs; mechanical stability; oil drilling; Improved Gauss-Newton-Marquardt Algorithms; displacement back analysis; external load casing; partial derivatives; salt stratum; stochastic finite element method; Accuracy; Algorithm design and analysis; Analytical models; Creep; Finite element methods; Petroleum; Stress; casing; displacement back analysis; improved Gauss-Newton-Marquardt algorithm; optimization algorithm; salt stratum;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5583653
Filename
5583653
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