地震分频处理技术预测深水储集体

doi:10.7623/syxb201601007

石油学报 ›› 2016, Vol. 37 ›› Issue (1): 80-87.DOI: 10.7623/syxb201601007

地震分频处理技术预测深水储集体

刘静静¹, 刘震¹, 齐宇², 彭俊¹, 孙晓明¹

1. 中国石油大学油气资源与探测国家重点实验室北京 102249;
2. 中海油研究总院北京 100028

收稿日期:2015-07-05 修回日期:2015-11-20 出版日期:2016-01-25 发布日期:2016-02-02
通讯作者: 刘震,男,1963年2月生,1984年毕业于西北大学,1990年获石油大学(北京)博士学位,现为中国石油大学(北京)教授、博士生导师,主要从事石油地质学教学与研究工作。Email:liuzhenjr@163.com
作者简介:刘静静,女,1986年1月生,2008年获中国石油大学(北京)地质工程专业学士学位,现为中国石油大学(北京)博士研究生,主要从事油气藏形成与分布规律研究。Email:jingjingliu86@126.com
基金资助:
国家重大科技专项(2011ZX05030-005-01)资助。

Prediction of deep-water reservoir by seiemic frequency division technology

Liu Jingjing¹, Liu Zhen¹, Qi Yu², Peng Jun¹, Sun Xiaoming¹

1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China;
2. CNOOC Research Institute, Beijing 100028, China

Received:2015-07-05 Revised:2015-11-20 Online:2016-01-25 Published:2016-02-02

摘要/Abstract

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。

关键词: 地震, Morlet小波, 分频处理, 优势频段, 深水储集体

Abstract:

Compared with conventional seismic data processing methods,seismic frequency division technology can more effectively improve the data imaging effect.The analysis on seismic attributes and stratum slices is conducted by taking the data volume after frequency division processing as a carrier,which can not only identify the boundaries of reservoirs more accurately,but also clearly describe the internal reservoir details.The improved Morlet wavelet is taken as mother wavelet function to establish the frequency division processing function.Through frequency division of Ricker wavelet,a dominant frequency window is obtained with comparatively clear waveform characteristics and very strong energy.Through frequency division of actual seismic data,a dominant frequency window can be obtained with optimal imaging effect,and seismic profile has a high resolution after processing,so that the imaging effect has been improved significantly.In addition,the geological body can be identified in the dominant frequency window through frequency division of 2D seismic data,which is unable to be identified using original seismic data.Finally,the seismic data volume after frequency division processing in the dominant frequency window is taken as a carrier to perform new horizon tracing.Further,reservoir prediction is carried out based on the analyses on seismic attributes;compared with the prediction results from the analysis of original seismic attributes,it is found that the predicted sand distribution and boundary of reservoirs through frequency division are more accurate,and the internal details are described more clearly,and have a high consistency with drilling results.This method possesses a broad application prospect in improving the accuracy of reservoir prediction.

Key words: seismic, Morlet wavelet, frequency division, optimal frequency window, deep-water reservoir

中图分类号:

P631.4

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.

Liu Jingjing, Liu Zhen, Qi Yu, Peng Jun, Sun Xiaoming. Prediction of deep-water reservoir by seiemic frequency division technology[J]. Acta Petrolei Sinica, 2016, 37(1): 80-87.

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地震分频处理技术预测深水储集体

Prediction of deep-water reservoir by seiemic frequency division technology

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