Study Of Seismic Data Processing Technology In Complex Low Noisesignal Ratio Area

Hydrocarbon resources is the basic resources to hold our national economy a fast development. In eastern China, the topography and geologic structures are generally promising for exploration. However, during the recent several decades, most of the hydrocarbon resources in this area have been proven. In order to maintain a continuous supply of oil and natural gas, the exploration targets are now gradually moved into the western China. Hydrocarbon resources is very rich in western China, and it's also deposits in a relatively concentrated area. However, this "relatively concentrated area" always means to hilly area, deserts, loess tableland, hill knap et al. In those place, the irregular topography and complex geologic structures add great difficulty to exploring, so the raw data maintained in those place usually has a very low noise-signal ratio, the situation of static correction is very stern and let alone the all kinds of strong interfering signal. All this things pose a great challenge on the follow-up data processing work.Seismic data process in low noise-signal ratio survey area commonly employs the static correction technology as a bond of the raw data and the follow-up data processing work. After a well done of static correction technology upon the raw data, the heterogeneous delays of seismic wave, causes by the irregular topography and the velocity varying or fluctuation of interface in low-depression velocity layers, can then be eliminated. Finally, the follow-up data processing technologies can then be applied smoothly. Another key technology in low noise-signal ratio seismic data process is noise suppressing. The velocity analysis and the migration imaging technology et al. all require in some degrees a higher noise-signal ratio data. Using noise suppressing technology properly can increase substantially the noise-signal ratio of raw data, and offer convenience for the follow-up data processing work.According to the field geological condition in the western China, cragged terrain, irregular topography, complex geological structures, stern condition of Static correction, strong interfering signal and low noise-signal ratio of raw data. In order to provide a high-quality dataset for the follow-up data processing, this article first studied the features of the low noise-signal ratio raw data in western area, and together with the generation mechanism of the static correction and the source of the strong interfering signal. Based on this, we introduced the often used methods of static correction and noise suppressing technology, some Instances are contained to illustrate the application effect. Moreover, some innovative and high technologies that just been introduced into geophysics are also presented in this paper, with some numerical experimentation, we analysis their suitability and relative merits. To sum up, in this article, we present a optimization process for the low noise-signal ratio of seismic raw data. In the Procedure, the pick of datum plane, well performing static correction and noise suppressing technology are contained. It tests good, can provide the follow-up data processing a high-quality dataset and will be of a fine guide to the data processing work in western area.