Projected Barzilai-Borwein method for the acceleration of gravity field data inversion
文献类型:期刊论文
作者 | Meng, Zhaohai2,3; Li, Wei1; Li, Fengting3; Li, Hongyu4 |
刊名 | EXPLORATION GEOPHYSICS
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出版日期 | 2020-09-10 |
页码 | 12 |
关键词 | Gravity inversion exploration methodologies |
ISSN号 | 0812-3985 |
DOI | 10.1080/08123985.2020.1814140 |
英文摘要 | The recovery of 3D volume of density from gravity field data is a key feature of geophysical and geological interpretations. Gravity field data inversion involves solving an underdetermined problem; therefore, large-scale data inversion is costly in time and memory consumption. Calculation efficiency is a primary concern for gravity field data inversion; therefore, multiple methods are considered and applied to increase the inversion efficiency. The solution for an inversion problem was formulated by incorporating constraints to obtain stable inversion results, and a new projected Barzilai-Borwein iterative algorithm was applied to accelerate convergence of the inversion method. To test the potential application of the projected Barzilai-Borwein iterative method, synthetic gravity data simulations and real data applications were carried out. Numerical performances and practical application indicate the fast convergence of projected Barzilai-Borwein iterative method and the increase in the calculated efficiency. |
WOS关键词 | FAST 3D INVERSION ; MAGNETIC INVERSION ; MASSIVELY-PARALLEL ; AIRBORNE GRAVITY ; GRADIOMETRY DATA ; 3-D INVERSION ; TOMOGRAPHY ; GRADIENT ; COMPRESSION |
资助项目 | Young Scholars Science Foundation of Lanzhou Jiaotong University[2019003] ; Key Technologies Research and Development Program[2017YFC0601601] ; China Postdoctoral Science Foundation[2019M660091XB] ; 2020 Innovation Capacity Improvement Project for Colleges and Universities in Gansu Province[2020A-37] ; Open fund of Key Laboratory of oil and gas resources research, Chinese Academy of Sciences[KLOR2018-8] |
WOS研究方向 | Geochemistry & Geophysics |
语种 | 英语 |
WOS记录号 | WOS:000576315100001 |
出版者 | TAYLOR & FRANCIS LTD |
资助机构 | Young Scholars Science Foundation of Lanzhou Jiaotong University ; Young Scholars Science Foundation of Lanzhou Jiaotong University ; Key Technologies Research and Development Program ; Key Technologies Research and Development Program ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; 2020 Innovation Capacity Improvement Project for Colleges and Universities in Gansu Province ; 2020 Innovation Capacity Improvement Project for Colleges and Universities in Gansu Province ; Open fund of Key Laboratory of oil and gas resources research, Chinese Academy of Sciences ; Open fund of Key Laboratory of oil and gas resources research, Chinese Academy of Sciences ; Young Scholars Science Foundation of Lanzhou Jiaotong University ; Young Scholars Science Foundation of Lanzhou Jiaotong University ; Key Technologies Research and Development Program ; Key Technologies Research and Development Program ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; 2020 Innovation Capacity Improvement Project for Colleges and Universities in Gansu Province ; 2020 Innovation Capacity Improvement Project for Colleges and Universities in Gansu Province ; Open fund of Key Laboratory of oil and gas resources research, Chinese Academy of Sciences ; Open fund of Key Laboratory of oil and gas resources research, Chinese Academy of Sciences ; Young Scholars Science Foundation of Lanzhou Jiaotong University ; Young Scholars Science Foundation of Lanzhou Jiaotong University ; Key Technologies Research and Development Program ; Key Technologies Research and Development Program ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; 2020 Innovation Capacity Improvement Project for Colleges and Universities in Gansu Province ; 2020 Innovation Capacity Improvement Project for Colleges and Universities in Gansu Province ; Open fund of Key Laboratory of oil and gas resources research, Chinese Academy of Sciences ; Open fund of Key Laboratory of oil and gas resources research, Chinese Academy of Sciences ; Young Scholars Science Foundation of Lanzhou Jiaotong University ; Young Scholars Science Foundation of Lanzhou Jiaotong University ; Key Technologies Research and Development Program ; Key Technologies Research and Development Program ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; 2020 Innovation Capacity Improvement Project for Colleges and Universities in Gansu Province ; 2020 Innovation Capacity Improvement Project for Colleges and Universities in Gansu Province ; Open fund of Key Laboratory of oil and gas resources research, Chinese Academy of Sciences ; Open fund of Key Laboratory of oil and gas resources research, Chinese Academy of Sciences |
源URL | [http://ir.iggcas.ac.cn/handle/132A11/98290] ![]() |
专题 | 地质与地球物理研究所_中国科学院油气资源研究重点实验室 |
通讯作者 | Meng, Zhaohai |
作者单位 | 1.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou, Peoples R China 2.Chinese Acad Sci, Key Lab Petr Resources Res, Inst Geol & Geophys, Beijing 100029, Peoples R China 3.Tianjin Nav Instrument Res Inst, Tianjin 300131, Peoples R China 4.Informat Ctr Geol & Mineral Resources Henan Prov, Zhengzhou, Henan, Peoples R China |
推荐引用方式 GB/T 7714 | Meng, Zhaohai,Li, Wei,Li, Fengting,et al. Projected Barzilai-Borwein method for the acceleration of gravity field data inversion[J]. EXPLORATION GEOPHYSICS,2020:12. |
APA | Meng, Zhaohai,Li, Wei,Li, Fengting,&Li, Hongyu.(2020).Projected Barzilai-Borwein method for the acceleration of gravity field data inversion.EXPLORATION GEOPHYSICS,12. |
MLA | Meng, Zhaohai,et al."Projected Barzilai-Borwein method for the acceleration of gravity field data inversion".EXPLORATION GEOPHYSICS (2020):12. |
入库方式: OAI收割
来源:地质与地球物理研究所
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