Improved preconditioned conjugate gradient algorithm and application in 3D inversion of gravity-gradiometry data

作     者：Wang Tai-Han Huang Da-Nian Ma Guo-Qing Meng Zhao-Hai Li Ye 王泰涵;黄大年;马国庆;孟兆海;李野

作者机构：College of Geo-Exploration Scienceand Technology Jilin University Claangchun 130021 China Tianjin Navigation Instrument Research Institute Tianjin 300131 China Jilin Provincial Electric Power Survey and Design Institute Changchun 130021 China. 

基　　金：the Sub-project of National Science and Technology Major Project of China(No.2016ZX05027-002-003) the National Natural Science Foundation of China(No.41404089) the State Key Program of National Natural Science of China(No.41430322) the National Basic Research Program of China(973 Program)(No.2015CB45300) 

出 版 物：《Applied Geophysics》 (应用地球物理（英文版）)

年 卷 期：2017年第14卷第2期

页      码：301-313,324页

摘      要：With the continuous development of full tensor gradiometer （FTG） measurement techniques, three-dimensional （3D） inversion of FTG data is becoming increasingly used in oil and gas exploration. In the fast processing and interpretation of large-scale high-precision data, the use of the graphics processing unit process unit （GPU） and preconditioning methods are very important in the data inversion. In this paper, an improved preconditioned conjugate gradient algorithm is proposed by combining the symmetric successive over-relaxation （SSOR） technique and the incomplete Choleksy decomposition conjugate gradient algorithm （ICCG）. Since preparing the preconditioner requires extra time, a parallel implement based on GPU is proposed. The improved method is then applied in the inversion of noise- contaminated synthetic data to prove its adaptability in the inversion of 3D FTG data. Results show that the parallel SSOR-ICCG algorithm based on NVIDIA Tesla C2050 GPU achieves a speedup of approximately 25 times that of a serial program using a 2.0 GHz Central Processing Unit （CPU）. Real airbome gravity-gradiometry data from Vinton salt dome （south- west Louisiana, USA） are also considered. Good results are obtained, which verifies the efficiency and feasibility of the proposed parallel method in fast inversion of 3D FTG data.

主 题 词：Full Tensor Gravity Gradiometry (FTG) ICCG method conjugate gradient algorithm gravity-gradiometry data inversion CPU and GPU 

学科分类：081801[081801] 081802[081802] 08[工学] 0818[工学-交通运输类] 

核心收录：

D　O　I：10.1007/s11770-017-0625-x

馆 藏 号：203236838...