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作 者:张会卿[1] 周宗良[1] 曹国明[1] 燕云[1] ZHANG Huiqing;ZHOU Zongliang;CAO Guoming;YAN Yun(Research Institute of Exploration and Development,Dagang Oilfield Company,PetroChina,Tianjin 300280,China)
机构地区:[1]中国石油大港油田公司勘探开发研究院
出 处:《天津科技》2019年第11期106-109,共4页Tianjin Science & Technology
基 金:中国石油天然气股份有限公司重大科技专项“大港油区效益增储稳产关键技术研究与应用”(2018E-11)
摘 要:针对大港X开发区曲流河薄砂体定量预测难题,提出基于小入射角道集叠加的最大熵地震频谱分解预测方法。首先,建立了地震波入射角与纵向分辨率的理论关系,在分析本区“两宽一高”地震采集参数基础上,优选0~20°入射角道集进行叠加处理;然后应用最大熵谱分解算法制作调谐体,获取调谐频率并计算调谐厚度;最后,通过实钻井数据拟合建立了薄砂体厚度-调谐厚度关系,实现了薄砂体定量预测。新井实施结果证实,该方法能够显著提升地震资料的纵向分辨能力,准确实现曲流河薄砂体的定量预测。Aiming at the difficult problem of quantitative prediction of meandering river thin sand body in Dagang X development area,this paper proposes a maximum entropy seismic spectrum decomposition prediction method based on the superposition of small incident angle gathers.Firstly,the theoretical relationship between incident angle of seismic wave and vertical resolution is established.Based on the analysis of"broadband,wide-azimuth and high-density"seismic acquisition parameters,the 0 to 20 degree gathers of incident angle is selected for stacking processing.Secondly,the maximum entropy spectral decomposition algorithm is used to make the tuning cube,obtain the tuning frequency and calculate the tuning thickness.Finally,the relationship between thickness of thin sand body and tuning thickness is established by fitting drilling well data,and the quantitative prediction of thin sand body is completed.The results of new wells show that this method can significantly improve the longitudinal resolution of seismic data,and accurately predict meandering river thin sand body.
关 键 词:小入射角 最大熵 谱分解 分频扫描 调谐频率 调谐厚度
分 类 号:TE357.45[石油与天然气工程—油气田开发工程]
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