【摘要】 在进行长排列地震资料处理时,由于大地滤波和动校拉伸等因素的影响,存在随炮检距增大频率降低的现象,难以获得高分辨率的资料处理结果。针对这一问题,提出了一种基于地表一致性反褶积、提高大炮检距地震资料分辨率的处理方法。该方法在常规地表一致性反褶积之后,对数据进行共炮检距域分选和动校正处理,然后进行主分选为共炮检距域的地表一致性反褶积。介绍了该处理方法的实现步骤,并用数值模拟和实际资料进行了验证,结果表明,用改进方法进行地表一致性反褶积共炮检距域自相关特征子波分析处理后,相位一致性得到明显改善,叠加剖面的同相轴变细,频带变宽,提高了资料的分辨率,改善了叠加剖面的品质。更多还原

【Abstract】 In data processing of expanding spread, output frequency is normally affected by earth filtering and NMO stretching and decreases as offset increases,which makes high resolution of final data impossible. We presented a new data processing procedure based on surface consistent deconvolution to solve this problem.After conventional surface consistent deconvolution, data is sorted into common offset gathers and NMO applied, then a second surface consistent deconvolution is run on common offset gathers which eliminates offset related frequency decrease.We are studied the relevant processing steps and compared the data after conventional and novel processing.The positive result verified that this new processing method might raise data resolution and improve data quality effectively.更多还原