频谱分解技术在广利—青南地区勘探中的应用
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摘要
广利-青南地区位于东营凹陷东部,包括广利构造及青南洼陷。沙四上时期广泛发育浊积岩和滩坝砂,沙四上的纯上1、2、3砂组较厚,已上报探明储量,而纯上4、5、6砂组砂体单个较薄,无法从常规地震剖面上来识别。通过分析该区目的层段地震反射特征,采用短时窗离散傅立叶变换的频谱分解技术,将目标地质体从时间域转换成单一频率的时频四维数据体,选取合适的数据体对沙四段纯上4、5、6砂组砂体进行了识别和预测,预测结果吻合率较高,并在研究区取得了初步成效。
Guangli-Qingnan area,including Guangli structure and Qingnan depression,locates in the east of Dongying depression.There are a lot of turbidite and beach-bar sand bodies in upper Es4.In Chunshang of upper Es4,1-3 sand groups are relatively thick with their proved reserves reported while 4-6 sand groups are too thin to be identified from the aspect of conventional seismic profile.By analyzing the seismic reflection characteristics of the target layers in this area,this paper adopted the spectrum decomposition technique based on the short time window DFT and transferred the target geological body from time domain to T/F 4D data volume with single frequency.The sand bodies in 4-6 sand groups are identified and predicted by choosing the proper data body,and the coincidence rate of prediction is high,marking the preliminary success in research area.
Guangli-Qingnan area,including Guangli structure and Qingnan depression,locates in the east of Dongying depression.There are a lot of turbidite and beach-bar sand bodies in upper Es4.In Chunshang of upper Es4,1-3 sand groups are relatively thick with their proved reserves reported while 4-6 sand groups are too thin to be identified from the aspect of conventional seismic profile.By analyzing the seismic reflection characteristics of the target layers in this area,this paper adopted the spectrum decomposition technique based on the short time window DFT and transferred the target geological body from time domain to T/F 4D data volume with single frequency.The sand bodies in 4-6 sand groups are identified and predicted by choosing the proper data body,and the coincidence rate of prediction is high,marking the preliminary success in research area.
引文
[1]司学强,张金亮.广利油田沙四上亚段成藏地质特征与勘探方向[J].西安石油大学学报(自然科学版),2008,23(1):6-11.
[2]姜亦栋,周李军,许建华,等.青南洼陷沉积特征、成藏条件及勘探潜力分析[J].特种油气藏,2003,10(3):44-52.
[3]徐丽英,徐鸣洁,陈振岩.利用谱分解技术进行薄储层预测[J].石油地球物理勘探,2006,41(3):299-302.
[4]胡水清,韩大匡,刘文玲,等.应用谱分解技术预测河道砂体[J].新疆石油地质,2008,29(3):370-372.
[5]张莉.频谱分解技术在浊积砂体勘探中的应用——以滨682井区为例[J].科技信息,2009,(13):27-31.
[2]姜亦栋,周李军,许建华,等.青南洼陷沉积特征、成藏条件及勘探潜力分析[J].特种油气藏,2003,10(3):44-52.
[3]徐丽英,徐鸣洁,陈振岩.利用谱分解技术进行薄储层预测[J].石油地球物理勘探,2006,41(3):299-302.
[4]胡水清,韩大匡,刘文玲,等.应用谱分解技术预测河道砂体[J].新疆石油地质,2008,29(3):370-372.
[5]张莉.频谱分解技术在浊积砂体勘探中的应用——以滨682井区为例[J].科技信息,2009,(13):27-31.
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