Title :
Multivariable method to analyze velocity of seismic wave
Author :
Xiudong Wang ; Longqing Shi
Author_Institution :
Coll. of Geo-Inf. Sci. & Eng., SDUST, Qingdao, China
Abstract :
In this paper, the author analyzes the factor of the velocity from time to depth, and points out the limitations of the traditional methods. Considering the influence of multi-dimensional speed ,The paper gives conceptions of velocity component and its coefficient and composes a function to analyze velocity with multi-factors by using methods of multinomial imitate, Kriging and weighted average method in data fusion to contrapose these shortcomings. It is easier to calculate and materialize with discrete velocity component and its coefficient, and favorable to transform time to depth automatically and increases its precision also. Through the contrast of two exploration stages in the same district, good application effect has been proved.
Keywords :
geophysical techniques; seismic waves; sensor fusion; statistical analysis; Kriging method; data fusion; discrete velocity component; exploration stage; multidimensional speed; multinomial imitate method; multivariable method; seismic wave velocity; weighted average method; Coal; Geophysics; Manganese; Natural gas; Rocks; Software libraries; data fusion; multi-factor velocity analysis; multinomial imitate; test and verify; velocity component;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5988382