地震属性技术在王73地区储层预测中的应用

2007年 46卷 第No. 3期
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Application of seismic attribute technology in predicting the reservoir in Wang 73 area.
(1.中国石油化工股份有限公司胜利油田分公司勘探项目管理部,山东东营257000;2.中国科学院地质与地球物理研究所,北京100029)
Project Management Office of Shengli Oilfield Ltd. Co., SINOPEC, Dongying 257000, China
王73地区沙四段油气藏类型主要以岩性和构造-岩性油气藏为主,滨浅湖相的滩坝砂体是最主要的油气储集体,岩性以灰质、泥质粉细砂岩为主。储层横向变化大,围岩中普遍含有灰岩,使得砂、泥岩速度差异减小,利用传统的稀疏脉冲反演和基于模型反演的方法不能对储层进行有效预测。为此,首先利用岩石物理学方法,对研究区储层的岩性、物性、含油气性与地震属性之间的关系进行了分析研究;然后利用地震属性技术提取了对刻画砂体和扇体边界较敏感的均方根振幅属性、时差属性和瞬时相位相干属性,对储层的空间展布特征进行描述,预测了油气勘探的有利区域;最后应用井震结合的外漂克立金技术对王73地区沙四段纯下2砂组的厚度进行了估算。根据预测结果,在油气勘探有利区域部署了一口钻井,钻遇的纯下2砂组厚度与预测厚度一致。
The hydrocarbon reservoir of Es4 in Wang 73 area is dominated by lithologic reservoir and structural-lithologic reservoir. The beach-dam sandstone of offshore lake facies is the main accumulation unit with the lithology being calcareous and argillaceous siltstone. The great horizontal change of the reservoir and the wide distribution of limestone in surrounding rocks decrease the difference in velocity between sand and shale, which, in turn, makes the traditional sparse impulse inversion and model-based inversion not effective in the reservoir prediction. Therefore, petrophysics is used to analyze the relationship among seismic attributes and lithology, physical property, hydrocarbon property. Then, the seismic attribute technology is used to extract root-mean-square amplitude, moveout, and instantaneous phase coherent property, which are sensitive in portraying the boundary of sand and fan body; at the same time, the distribution of reservoir is described, and the potential zone of hydrocarbon exploration predicted. Finally, well-seismic-based ex-drifting kriging technology was applied to estimate the thickness of Chunxia 2 sand set of Es4 upper member in Wang 73 area. In terms of the predicted results, one drilling well was deployed in the potential zone and the drilled thickness of Chunxia 2 sand set is coincide with the predicted thickness.
沙四上亚段; 构造-岩性油气藏; 地震属性技术; 外漂克里金技术; 储层预测;
Es4 upper sub-member; structural-lithologic reservoir; seismic attribute technology; ex-drifting kriging technology; reservoir prediction;