Geophysical data gridding: New insights from the Taylor series expansion

Chen，Tao1; Yang，Dikun2

10.1190/segam2021-3584262.1

2021

1052-3812

1949-4645

SEG Technical Program Expanded Abstracts

2021-September

926-930

Data interpolation is essential in geophysical data processing when some data are not accessible and are required for interpretation. Based on the relation between adjacent data points established by the Taylor series expansion (TSE), we study a novel method that interpolates irregularly missing data over an area on the surface. TSE can directly extract local features (derivative information) from the data without any assumptions, and these features are used to recover data at the vacant area. In this paper, we take gravity data from a complex density model as an example to demonstrate the formulation and application of the TSE-based interpolation. Our approach is compared with other popular methods in potential field data interpolation. The simulation indicates that the TSE-based interpolation can achieve a lower root mean square (RMS) error compared with the minimum curvature. We also apply the proposed approach to field gravity data from Otway Basin, Australia. The TSE method provides an improved result as more details in the data image can be recovered.

第一 ; 通讯

英语

EI

20215011324878

Data handling ; Geophysics ; Gravitation ; Image enhancement

Geophysics:481.3 ; Data Processing and Image Processing:723.2 ; Numerical Methods:921.6 ; Gravitation, Relativity and String Theory:931.5

2-s2.0-85120950377

Scopus

1.Department of Earth and Space Sciences,Southern University of Science and Technology,China
2.Shenzhen Key Laboratory of Deep Offshore Oil and Gas Exploration Technology,Southern University of Science and Technology,China

Chen，Tao,Yang，Dikun. Geophysical data gridding: New insights from the Taylor series expansion[C],2021:926-930.