Research and Application of Pre-Stack High Resolution Seismic Data Processing Technology for Paleogene in Lufeng Oilfield
WANG Yaosen
XU Chao
LI Li
WANG Shenghao
Abstract:The Enping Formation and Zhuhai Formation of Paleogene in Lufeng A Oilfield are affected by complex seismic sedimentary patterns,deep burial depths,and widely distributed high-speed limestone layers.The seismic data has narrow frequency band,low dominant frequency,and poor signal-to-noise ratio,making it difficult to overcome the challenges of high-resolution fine reservoir prediction,complex geological sedimentary pattern recognition,and solving oil-water conflicts faced by oilfield development.A set of fidelity and amplitude preservation high-resolution processing techniques has been developed for the characteristics of Paleogene seismic data in Lufeng A oilfield.Firstly,a combination of fidelity and amplitude preservation fine denoising is studied to provide effective signal-to-noise ratio for improving resolution;secondly,adaptive ghost wave suppression processing is performed to eliminate the notch response of ghost waves to the frequency band;then,based on the characteristics of shallow sea data,research on the prediction and suppression of multiple waves by multi-method prediction,multi-model and multi-domain joint adaptive subtraction is conducted;further research on effective Q-compensation processing for well-seismic contrast constraint is carried out;finally,research on pre-stack frequency band expansion processing is done in the imaging domain.By applying this scheme,high-resolution seismic data volumes were obtained,and the dominant frequencies of the Zhuhai Formation and Enping Formation were increased from 20 Hz to 35 Hz.The high-resolution seismic data finely characterized the distribution pattern of the sand bodies,ultimately explaining the problem of oil-water conflicts.This provides an example for improving the resolution of seismic data under the same geological conditions.
Keywords:PaleogeneHigh resolutionGhost wave suppressionAnti Q filteringFrequency expansion processing
Publication Date:2025-12-30
Online Publishing Date:2025-12-15(First online date of this platform, not the publication date of the document)
Pages:7( 136-142 )
South China Journal of Seismology

South China Journal of Seismology

ISTIC
ISSN:1001-8662
Year, Vol.(Issue):2025,45(4)