基于多元线性回归分析的薄储层预测技术在胜利探区的研究与应用
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摘要
随着胜利油田油气勘探的逐步深入,薄储层成为重要的勘探方向之一,但其预测也一直是个勘探难题。因此针对其识别,开发了多元线性回归薄储层预测技术,研发了油藏表征系统软件。该方法在多种属性优选的基础上,建立了储层厚度与伪熵、混沌等优势地震属性间最优化定量计算关系,刻画了薄储层在平面上的分布趋势,进而掌握储层厚度分布特征。在阳信洼陷沙一段滨浅湖薄层砂体预测中,该项技术的应用取得了良好的勘探效果,较好地反映了生物灰岩储层平面上的展布特征,对胜利探区其它类型的薄储层油藏勘探,起到了很好的借鉴和参考意义。
Thin reservoirs become one of the important exploration directions with the gradual deepening of the oil and gas exploration in Shengli Oilfield,although its prediction has always been an exploration problem.Therefore,thin reservoir prediction techniques of multiple linear regression was developed for its identification,and reservoir characterization system software was also researched and developed.On the basis of a variety of attributes preferred,the method established the optimal quantitative calculation relationship between the reservoir thickness and the preferred seismic attributes such as the pseudo entropy,chaos etc..It characterizes the thin reservoir distribution trends on the plane,thus the reservoir thickness distribution characteristics was mastered.The application of this technology in the prediction of shore-shallow lake thin-layer sandbodies of member1 of Shahejie Formation in Yangxin Sag has made good exploration results.It shows the distribution characteristics of the biological limestone reservoirs preferably on the plane,and provides a good reference for the thin reservoirs exploration of other types in Shengli exploration area.
Thin reservoirs become one of the important exploration directions with the gradual deepening of the oil and gas exploration in Shengli Oilfield,although its prediction has always been an exploration problem.Therefore,thin reservoir prediction techniques of multiple linear regression was developed for its identification,and reservoir characterization system software was also researched and developed.On the basis of a variety of attributes preferred,the method established the optimal quantitative calculation relationship between the reservoir thickness and the preferred seismic attributes such as the pseudo entropy,chaos etc..It characterizes the thin reservoir distribution trends on the plane,thus the reservoir thickness distribution characteristics was mastered.The application of this technology in the prediction of shore-shallow lake thin-layer sandbodies of member1 of Shahejie Formation in Yangxin Sag has made good exploration results.It shows the distribution characteristics of the biological limestone reservoirs preferably on the plane,and provides a good reference for the thin reservoirs exploration of other types in Shengli exploration area.
引文
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[2]高君,云美厚,王晓红.针对薄互层储集特点的地震属性优化技术及应用效果[J].大庆石油地质与开发,2006,25(3):91～93.
[3]沈财余,江洁,赵华,等.测井约束地震反演解决地质问题能力的探讨[J].石油物探,2002,37(4):372～376.
[4]刘利.阳信洼陷生物气成藏条件研究[J].天然气工业,2005,25(10):11～13.
[5]王红,李红梅,魏文,等.阳信地区沙一段生物灰岩储层地震预测方法[J].油气地球物理,2010,8(3):5～11.
[6]秦月霜,陈显森,王彦辉.用优选后地震属性参数进行储层预测[J].大庆石油地质与开发,2000,19(6):44～45.
[7]李操.基于地震属性的储层预测方法研究及初步应用[D].大庆:大庆石油学院,2006.
[8]王玉梅,季玉新,李东波,等.应用地震属性技术预测A地区储层[J].石油物探,2001,40(4):69～76.
[9]印兴耀,周静毅.地震属性优化方法综述[J].石油地球物理勘探,2005,40(4):482～489.
[10]刘文岭.多信息储层预测地震属性提取与有效性分析方法[J].石油物探,2002,41(1):101～106.
[11]张益明,张文,范廷恩.多种地震属性分析技术在LD20-1构造区储层预测和含气性检测中的应用[J].中国海上油气,2005,17(3):167～169.
[12]管晓燕,穆星.多属性联合反演方法在桩西潜山地区储层预测中的应用[J].工程地球物理学报,2011,8(6):788～792.
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