Journal of Tropical Oceanography ›› 2014, Vol. 33 ›› Issue (5): 67-73.doi: 10.11978/j.issn.1009-5470.2014.05.009cstr: 32234.14.j.issn.1009-5470.2014.05.009

• Marine Geophysics • Previous Articles     Next Articles

High-resolution processing methods for multi-channel reflection seismic data of Lile sea area in the southern South China Sea

ZHENG Hong-bo, YAN Pin, WANG Yan-lin   

  1. Key Laboratory of Marginal Sea Geology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
  • Received:2013-09-11 Revised:2014-04-08 Online:2014-09-29 Published:2014-09-29

Abstract: Lile sea area of the southern South China Sea has become an important prospective area of oil and gas exploration because of its abundant resources. At present, the exploration level of Lile sea area is low, and there are only two-dimensional seismic data of a few survey lines. Due to complex terrains and large changes of water depth, multiform interferential waves can be commonly distinguished from these seismic data. Moreover, the trace number of shot gather is small, and the S/N ration of data is low. Above factors are of disadvantage to high-resolution processing of seismic data. According to the characteristics of seismic data in the area, various means have been used for true amplitude recovery and abnormal amplitude suppression in the pretreatment. Series deconvolution methods have been used to enhance the resolution of the seismic data; τ-p domain predictive deconvolution, velocity filtering and inner muting have been adopted for multiples suppression based on the types of multiples. From the result of processing, it can be found that the energy of shallow, middle and deep layers is proportioned. Interferential waves such as multiples have been well suppressed, and the S/N ratio and resolution of seismic data have been improved. High-resolution seismic stacked profiles have been achieved finally.

Key words: Lile sea area, seismic data, high-resolution processing, series deconvolution, multiples suppression

CLC Number: 

  • P738