反射系数序列分解技术在渤海N油田储层研究中的应用

发布时间：2018-02-15 12:01

本文关键词： 反射系数序列分解前积反射正演模拟地震属性储层预测　出处：《地球物理学进展》2017年03期 　论文类型：期刊论文

【摘要】：渤海N油田地质构造复杂,储层研究的精细程度直接决定着开发井的成败及油田的开发效果.为了精细研究储层的平面展布,针对该油田储层薄、地震资料分辨率低、储层平面刻画难的特点,运用反射系数序列分解技术,分别对目的层段的反射系数进行多种组合,并精细研究各种反射系数组合得到的合成地震记录之间的差异性,据此确定了目标油层的地震响应特征.结合该油田的地质沉积特点,建立基于井的二维地质模型,利用正演模拟技术对储层响应特征进行分析研究,针对目标层位开展三期前积体的精细刻画.在此基础上,根据前积体的最大振幅属性特征刻画出主河道延伸范围和储层的平面分布特征,优化了开发井井位,实钻结果与钻前预测一致,厚度预测精度较高,证明了研究方法的有效性和研究成果的准确性,提高了油田的开发效果.
[Abstract]:The geological structure of Bohai oil field N is complex, and the fine degree of reservoir research directly determines the success or failure of development well and the development effect of oilfield. In order to study the plane distribution of reservoir, the reservoir is thin and the resolution of seismic data is low. Because the reservoir plane is difficult to depict, the reflection coefficient of the target interval is combined by using the technique of reflection coefficient sequence decomposition, and the difference between the synthetic seismic records obtained by the combination of various reflection coefficients is studied in detail. Based on this, the seismic response characteristics of the target reservoir are determined. According to the geological and sedimentary characteristics of the oil field, a two-dimensional geological model based on wells is established, and the reservoir response characteristics are analyzed and studied by using forward modeling technology. According to the characteristics of the maximum amplitude attribute of the forward reservoir, the extension range of the main channel and the plane distribution of the reservoir are described, and the well location of the development well is optimized. The actual drilling results are consistent with the pre-drilling prediction, and the thickness prediction accuracy is high, which proves the validity of the research method and the accuracy of the research results, and improves the development effect of the oilfield.
【作者单位】：中海石油(中国)有限公司天津分公司;
【基金】：国家科技重大专项“近海大中型油气田地震勘探技术—渤海海域中深层油气田地震勘探技术”(2011ZX05023-005-001)资助
【分类号】：P618.13;P631.4

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