地震分频处理技术预测深水储集体

发布时间：2017-12-28 03:35

本文关键词：地震分频处理技术预测深水储集体　出处：《石油学报》2016年01期 　论文类型：期刊论文

【摘要】：地震资料分频处理技术是一种比常规地震资料处理方法更有效改善数据体成像效果的方法,以分频处理后数据体为载体,进行地震属性及地层切片分析不仅可以更有效地识别储集体的边界,还可以清晰地刻画储集体内部细微结构。利用改进的Morlet小波作为母小波函数地层建立分频处理函数,对原始资料进行分频处理后存在波形特征十分清晰、能量也很强的优势成像频段,成像效果最佳的优势频段的地震剖面分辨率较高,成像效果得到了明显改善。通过对二维地震资料分频处理,在优势频段内可以识别出原始地震数据无法识别的地质体。进一步以优势频段分频处理三维地震数据体开展全新的层位追踪,并结合地震属性分析进行储集体分布预测,与原始地震资料属性分析进行的储集体预测结果相比,发现分频处理后储集体预测的砂体展布及其边界更为精准,内部细节刻画更为清晰,与钻井结果的吻合度也更高。显然该方法在提高深水储集体预测精度方面具有相当的应用前景。
[Abstract]:Division of seismic data processing technology is a kind of method than the conventional seismic data processing method is more effective to improve the data imaging results, with frequency division processing data after the body as the carrier, analysis of seismic attributes and stratigraphic slice can not only effectively recognize the reservoir boundary, but also to clearly describe the reservoir internal fine structure. As the mother wavelet formations using Morlet wavelet frequency division processing function improved, the original data after frequency division processing waveform characteristics is very clear, the energy band edge image is also very strong, high resolution seismic dominant frequency band of the best result of imaging, the imaging effect is obviously improved. Through the frequency division processing of the two-dimensional seismic data, the geological body which can not be identified by the original seismic data can be identified in the dominant frequency band. Further to the advantage of band frequency processing of 3-D seismic data to carry out a new horizon tracing, combined with seismic attribute analysis of reservoir distribution prediction, reservoir prediction results were analyzed and compared with the original seismic attribute, reservoir prediction of sand body distribution found after frequency processing and its boundary is more accurate, the internal details more clearly with the drilling results, the agreement is also higher. Obviously, this method has a considerable application prospect in improving the prediction precision of the deep water reservoir.
【作者单位】：中国石油大学油气资源与探测国家重点实验室;中海油研究总院;
【基金】：国家重大科技专项(2011ZX05030-005-01)资助
【分类号】：P631.44
【正文快照】： 引用:刘静静,刘震,齐宇,彭俊,孙晓明.地震分频处理技术预测深水储集体[J].石油学报,2016,37(1):80-87.Cite:Liu Jingjing,Liu Zhen,Qi Yu,Peng Jun,Sun Xiaoming.Prediction of deep-water reservoir by seiemic frequency division tech-nology[J].Acta Petrolei Sinica,2016

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