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Optimizing staggered-grid finite-difference method based on the least-squares combination of the square window function

文献类型：期刊论文

作者Chen, Chao-pu1; Liu, Hong2,3; Wang, Zhi-yang1; Bai, Wen-lei1; Zhang, Cheng-fang1; Meng, Zi-rui1
刊名APPLIED GEOPHYSICS
出版日期2021-08-25
页码12
关键词staggered-grid finite-difference window function least squares dispersion elastic wave
ISSN号1672-7975
DOI10.1007/s11770-021-0884-4
英文摘要The staggered-grid finite-difference method (SGFDM) has been extensively employed in numerical modeling, seismic imaging, and waveform inversion because of its high efficiency, accuracy, and practicality. Numerical modeling accuracy is crucial for imaging and inversion. Truncating the spatial convolution sequence of the pseudospectral method by window functions can derive the finite-difference method. However, truncation error is inevitable; it can create illusions in numerical modeling, leading to misjudgments. To reduce the truncation error and improve numerical modeling accuracy, enhancing the performance of the truncated window function is imperative. In this study, a new optimal window function was investigated based on the least-squares combination of square windows. Then, the new optimized window function was used to truncate the spatial convolution sequence of the pseudospectral method and obtain an optimized SGFDM. Dispersion analysis showed that the optimized SGFDM has wider spectrum coverage than the conventional SGFDM at the same order. In addition, at low orders, the error range of the new optimized SGFDM could be strictly controlled within 1 parts per thousand, whereas, at high orders, while ensuring accuracy, the spectrum coverage significantly improved. Finally, numerical modeling for elastic waves demonstrated that the optimized SGFDM could superiorly suppress numerical dispersion and improve calculation efficiency.
WOS关键词WAVE-EQUATION ; SCHEMES ; APPROXIMATION ; PROPAGATION
资助项目Joint Funds of the National Natural Science Foundation of China[U20B2014] ; State Key Program of National Natural Science Foundation of China[41630319] ; National Science and Technology Major Project of China[2016ZX05024-001-001]
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000688419000002
出版者SPRINGER
资助机构Joint Funds of the National Natural Science Foundation of China ; Joint Funds of the National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; Joint Funds of the National Natural Science Foundation of China ; Joint Funds of the National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; Joint Funds of the National Natural Science Foundation of China ; Joint Funds of the National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China ; Joint Funds of the National Natural Science Foundation of China ; Joint Funds of the National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; State Key Program of National Natural Science Foundation of China ; National Science and Technology Major Project of China ; National Science and Technology Major Project of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/102612]  
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Wang, Zhi-yang
作者单位1.Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Key Lab Petr Resources Res, Inst Geol & Geophys, Beijing 100029, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Chao-pu,Liu, Hong,Wang, Zhi-yang,et al. Optimizing staggered-grid finite-difference method based on the least-squares combination of the square window function[J]. APPLIED GEOPHYSICS,2021:12.
APA Chen, Chao-pu,Liu, Hong,Wang, Zhi-yang,Bai, Wen-lei,Zhang, Cheng-fang,&Meng, Zi-rui.(2021).Optimizing staggered-grid finite-difference method based on the least-squares combination of the square window function.APPLIED GEOPHYSICS,12.
MLA Chen, Chao-pu,et al."Optimizing staggered-grid finite-difference method based on the least-squares combination of the square window function".APPLIED GEOPHYSICS (2021):12.

入库方式： OAI收割

来源：地质与地球物理研究所

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