压缩感知非规则采集技术在胜利油田GL-QN浅海地区的试验应用

Experimental application of compressed sensing irregular acquisition technology in the GL-QN shallow sea area of the Shengli Oilfield

随着地震勘探目标复杂化,成像精度要求越来越高,高密度采集趋向于使用全方位、高炮道密度的采集方法,相应的经济成本也成倍上升。基于信号稀疏性提出的压缩感知理论在地震采集得以应用,利用非规则地震采集稀疏优化的特点,经济高效地获得地震采集数据,利用数据重构方法实现稠密数据体信号重建,提高地质构造目标体成像精度。将压缩感知非规则采集技术应用于胜利油田GL-QN地区,成功实施了浅海地区压缩感知非规则地震采集,首先简要介绍了海上压缩感知非规则采集设计及数据重构原理,详细阐述了海上压缩感知非规则观测系统设计参数优选的过程,然后优选出最佳的非规则采集方案并将其应用于海上生产,最终通过曲波域数据重构,得到了高密度更好的地震成像数据体,取得了良好的成像效果。

With the complexity of the seismic exploration target,the requirements of imaging precision increase.High-density acquisition tends to use the all-direction high shot channel density acquisition method,and the corresponding economic cost increases exponentially.The compressed sensing theory based on signal sparsity is applied in seismic acquisition,and the seismic acquisition data can be obtained economically and efficiently by utilizing the characteristics of irregular seismic acquisition sparsity optimization.The data reconstruction method can be used to reconstruct the signal of dense data volume and improve the imaging accuracy of the geological structure target volume.In this study,the technique of compressed-sensing irregular seismic acquisition was applied to the GL-QN area in the Shengli Oil Field,and the compressed-sensing irregular seismic acquisition was successfully implemented in the shallow sea area.This study briefly introduced the design of irregular data acquisition and data reconstruction based on sea compression perception,and expounded the process of optimizing design parameters of an irregular observation system based on sea compression perception in detail.Finally,the seismic imaging data volume with a higher density and better imaging effect was obtained through data reconstruction in the curved wave domain.