基于灰色关联分析的沉积微相定量描述技术及应用
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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24.4×10~4m~3,累计增油6.4×10~4t,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。
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 24.4×10~4 m~3, cumulative oil increase of 6.4×10~4 t.This result has a significance for guiding the potential tapping of remaining oil in the later period of high-water content.
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 24.4×10~4 m~3, cumulative oil increase of 6.4×10~4 t.This result has a significance for guiding the potential tapping of remaining oil in the later period of high-water content.
引文
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[14]李辉峰,杨蕾.泌阳凹陷孙岗地区水下分流河道地震识别及预测[J].新疆石油地质,2012,33(6):654-656.
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[2]耿晓洁,朱筱敏,董艳蕾.地震沉积学在近岸水下扇沉积体系分析中的应用:以泌阳凹陷东南部古近系核三上亚段为例[J].吉林大学学报(地球科学版),2016,46(1):57-64.
[3]地震沉积学在薄储层预测中的应用:以L87井区水下扇体识别为例[J].地球物理学进展,2017,32(2):709-713.
[4]余威,罗安湘,王峰,等.陇东地区长9沉积特征及湖岸线确定依据[J].断块油气田,2017,24(6):766-770.
[5]林承焰,张宪国.地震沉积学探讨[J].地球科学进展,2006,21(11):1140-1144.
[6]尹继全,衣英杰.地震沉积学在深水沉积储层预测中的应用[J].地球物理学进展,2013,28(5):2626-2633.
[7]金利.灰色关联技术在老油田储层预测解释中的应用[J].断块油气田,2012,19(5):600-603.
[8]李超,廖新武,侯东梅,等.地震沉积学在BZ19-4油田中的应用[J].断块油气田,2013,20(1):47-50.
[9]马光克,李达,隋波,等.地震多属性融合曲线重构技术在储层预测中的应用[J].物探与化探,2013,37(6):993-997.
[10]邓聚龙.灰色系统理论教程[M].武汉:华中理工大学出版社,1990:236-241.
[11]宋士顺,刘立,于淼,等.灰色系统理论关联分析法在储层评价中的应用:以延吉盆地大砬子组2段为例[J].断块油气田,2012,19(6):714-717.
[12]陆永潮,杜学斌,陈平,等.油气精细勘探的主要方法体系:地震沉积学研究[J].石油实验地质,2008,30(1):1-5.
[13]刘丽媛,杨宏伟,李九生,等.地层切片技术在油藏开发储层描述中的应用[J].断块油气田,2016,23(3):320-323.
[14]李辉峰,杨蕾.泌阳凹陷孙岗地区水下分流河道地震识别及预测[J].新疆石油地质,2012,33(6):654-656.
[15]赵立明,崔若飞.全数字高密度三维地震勘探在煤田精细构造解释中的应用[J].地球物理学进展,2014,29(5):2332-2336.
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