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作 者:赵泽茜 成丽芳 范殿佐 ZHAO Ze-Xi;CHENG Li-Fang;FAN Dian-Zuo(School of Geophysics and Information Technology,China University of Geosciences(Beijing),Beijing100083,China;Yuncheng Municipal Bu-reau of Planning and Natural Resources,Yuncheng044000,China)
机构地区:[1]中国地质大学(北京)地球物理与信息技术学院,北京100083 [2]运城市规划和自然资源局,山西运城044000
出 处:《物探与化探》2023年第6期1588-1594,共7页Geophysical and Geochemical Exploration
基 金:中国石油化工股份有限公司项目“东濮凹陷高密度地震勘探关键技术研究与应用”(P22146)。
摘 要:地震资料分辨率可以直接影响油藏描述精度。为了提升地震资料的分辨率,针对复杂断块、含油砂体厚度薄、砂体预测难等问题,建立了时变分频反褶积提频技术流程。首先,针对地震信号进行分时窗,在每一时窗内求地震子波,从而得到子波的振幅谱;然后,在每一时窗内利用对应地震子波进行反褶积,求取反射系数;最后,综合整个地震资料的反射系数和褶积高频率、低频率子波,得到高分辨率的宽频地震信号。将此方法应用于中原油田文南地区实际三维地震资料的处理中,结果表明:该方法能够明显拓宽采集的三维叠后地震资料高频有效信息,对单砂体的刻画能力有较大提高,得到的数据效果更有利于识别薄层,且预测结果与实际钻井结果吻合程度更高。该技术在复杂断块地区有较大的应用前景。The resolution of seismic data directly influences the characterization accuracy of oil reservoirs.To improve the resolution for effective sand body prediction,this study established a frequency enhancement technology process based on time-varying frequency-di-vision deconvolution for thin oil-bearing sand bodies occurring in complex fault blocks.First,seismic signals were separated into differ-ent time windows,in which seismic wavelets were computed to obtain their amplitude spectra.Then,the corresponding seismic wave-lets were deconvoluted within each time window to obtain the reflection coefficients.Finally,high-resolution broadband seismic signals were attained by integrating the reflection coefficients of the entire seismic data and convolving high-and low-frequency wavelets.This technology process was employed to process the actual 3D seismic data from the Wennan area of the Zhongyuan Oilfield.As indicated by the results,this technology process had a significantly elevated capacity to depict a single sand body by expanding the high-frequen-cy effective information in acquired 3D post-stack seismic data,thus yielding high-quality data for the identification of thin sand bodies.Moreover,the prediction results were highly consistent with the actual drilling results.Therefore,the time-varying frequency-division deconvolution has great potential for application in complex fault blocks.
分 类 号:P631.4[天文地球—地质矿产勘探]
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