论文详情
基于灰色关联分析的沉积微相定量描述技术及应用
断块油气田
2019年 26卷 第01期
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Title
Quantitative description technique of sedimentary micro-facies by grey relational analysis and its application
单位
中国石油大庆油田有限责任公司第五采油厂,黑龙江 大庆 163513
Organization
No.5 Oil Production Plant, Daqing Oilfield Co., Ltd., PetroChina, Daqing 163513, China
摘要
针对沉积微相定量描述精度低的问题,以地震反演储层预测成果为趋势约束,以井点地震道数据为样本,首先利用灰色关联分析方法计算每个地震道与每口井模型道的灰色关联系数因子;其次计算有效砂岩厚度与沉积微相发生概率因子;最后利用关联系数因子和沉积相发生概率因子生成综合相似系数。通过比较地震道与井数据运算得到综合相似系数,找出相似性最高的井,并将这口井的沉积相划分结果赋值给该地震道,最终实现沉积微相的定量描述。运用该技术,沉积微相描述精度由71.2%提高到89.3%,提高了18.1百分点;指导剩余油挖潜调整161井次,累计增注24.4×104 m3,累计增油6.4×104 t,取得了较好的开发调整效果。该研究成果对指导高含水后期剩余油的挖潜具有较好的指导意义。
Abstract
In view of the low accuracy of quantitative description of sedimentary microfacies, seismic prediction results are used as a trend constraint, and well-point seismic traces are used as samples. Firstly, the grey relational analysis method is used to calculate the gray correlation coefficient factor for each seismic track and each well model channel; secondly, the probability of occurrence of sandstone thickness and sedimentary microfacies is calculated; finally, the correlation coefficient factor and sedimentary facies probability factor are used to generate the comprehensive similarity coefficient. By comparing the synthetic similarity coefficients obtained from the seismic data with the well data, the well with the highest similarity is found out, and the sedimentary facies division result of this well is assigned to the seismic track to realize quantitative description of sedimentary microfacies. Using this technique, the accuracy of the deposition of the microfacies description is increased from 71.2% to 89.3%. The results were used to guide the adjustment of 161 wells, cumulative increase in water injection volume of 24.4×104 m3, cumulative oil increase of 6.4×104 t. This result has a significance for guiding the potential tapping of remaining oil in the later period of high-water content.
关键词:
地震波形;
沉积微相;
灰色关联分析;
定量描述;
剩余油挖潜;
Keywords:
seismic waveform;
sedimentary microfacies;
grey relational analysis;
quantitative description;
remaining oil potential;
DOI
10.6056/dkyqt201901006