井震结合刻画水下分流河道砂体
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摘要
随着开发的深入,大庆油田萨北开发区A区块储层非均质性逐渐突出,准确地刻画井间砂体分布已成为提高采收率的关键。单纯依据测井资料刻画砂体沉积微相与实际情况符合率低、难度大。以该区块葡Ⅱ油层组水下分流河道为例,根据水下河道发育状况,利用高密度地震资料设计了4组正演模型,分析了地震响应特征;开展多节点质量控制地质统计学反演,获得了高精度反演数据体;选取与目的层相关性高的反演体,在沉积模式指导下,采取基于叠后地质统计学反演切片与测井数据相结合的方法进行砂体刻画。研究结果表明:井震结合有利于提高水下分流河道砂体微相的符合率,后验井统计证实该方法微相符合率由原来70. 1%提高到83. 2%。
With the development of Development Block A in North Saertu of Daqing Oilfield,the heterogeneity of the reservoirs has become increasingly serious,therefore how to accurately characterize the distribution of the interwell sandbodies has become the key to the enhanced oil recovery. Depiction of the sedimentary microfacies of the sandbodies on basis of the logging data alone is difficult and has a low coincidence rate with the actual conditions.Taking the underwater distributary channel of Pu-II oil group in this block as an example,according to the developed status of the underwater channels,with the help of the high-density seismic data,four sets of the forward evolving models were designed to analyze the seismic response characteristics; multi-node quality-controlled geostatistical inversion was carried out and a high-precision inversion data body was obtained; choosing the inverting body with high correlation with the target layer,and under the guidance of the depositional model,the sandbodies were characterized by a combination of the post-stack geostatistical inversion slices with the logging data. The researchresults show that the well logging-seismology combination method is conducive to improving the coincidence rate of the depiction of the microfacies of the underwater distributary channel sandbodies,it is confirmed by the statistics of the later verified well( s) that the coincidence rate of the micro-facies depicted by this method is increased from70. 1% to 83. 2%.
With the development of Development Block A in North Saertu of Daqing Oilfield,the heterogeneity of the reservoirs has become increasingly serious,therefore how to accurately characterize the distribution of the interwell sandbodies has become the key to the enhanced oil recovery. Depiction of the sedimentary microfacies of the sandbodies on basis of the logging data alone is difficult and has a low coincidence rate with the actual conditions.Taking the underwater distributary channel of Pu-II oil group in this block as an example,according to the developed status of the underwater channels,with the help of the high-density seismic data,four sets of the forward evolving models were designed to analyze the seismic response characteristics; multi-node quality-controlled geostatistical inversion was carried out and a high-precision inversion data body was obtained; choosing the inverting body with high correlation with the target layer,and under the guidance of the depositional model,the sandbodies were characterized by a combination of the post-stack geostatistical inversion slices with the logging data. The researchresults show that the well logging-seismology combination method is conducive to improving the coincidence rate of the depiction of the microfacies of the underwater distributary channel sandbodies,it is confirmed by the statistics of the later verified well( s) that the coincidence rate of the micro-facies depicted by this method is increased from70. 1% to 83. 2%.
引文
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[14]王利功,毕建军,王振辉,等.地震平面岩相解释方法的研究及应用[J].油气地球物理,2011,9(4):38-42.
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[17]董艳蕾,朱筱敏,曾洪流,等.黄骅坳陷歧南凹陷古近系沙一层序地震沉积学研究[J].沉积学报,2008,26(2):234-240.
[18]王琦,李红梅.开发地震在大庆长垣喇嘛甸油田储层预测中的应用[J].石油与天然气地质,2012,33(3):491-495.
[19]李建雄,谷跃民,党虎强.高密度井网开发区井震联合储层预测方法:以SL盆地JN2区块为例[J].石油地球物理勘探,2011,46(3):457-462.
[20]李秀鹏,曾洪流,查明.地震沉积学在识别三角洲沉积体系中的应用[J].成都理工大学学报(自然科学版),2008,1(6):625-629.
[21]叶云飞,崔维,张益明,等.低频模型对波阻抗反演结果定量解释的影响[J].中国海上油气,2014,26(6):32-36.
[22]沈洪涛,郭乃川,秦童,等.地质统计学反演技术在超薄储层预测中的应用[J].地球物理学进展,2017,32(1):248-253.
[23]赵翰卿.大庆油田精细储层沉积学研究[M].北京:石油工业出版社,2011:1-60.
[24]伊振林.井震联合窄小河道砂体预测方法研究[J].西南石油大学学报(自然科学版),2012,34(1):19-24.
[25]郝兰英,郭亚杰,李杰,等.地震沉积学在大庆长垣密井网条件下储层精细描述中的初步应用[J].地学前缘,2012,19(2):81-86.
[26]李文龙.密井网区井震结合储层描述方法[J].大庆石油地质与开发,2016,35(4):137-142.
[27]苏燕,杨愈,白振华,等.密井网区井震结合进行沉积微相研究及储层预测方法探讨:以大庆杏树岗油田杏56区为例[J].地学前缘,2008,15(1):110-116.
[28]唐金荣.三维地震资料在密井网区井间储层预测中的应用:以大庆油田PN地区典型区块葡萄花油层为例[J].石油天然气学报,2010,32(5):220-223.
[29]单敬福,王峰,孙海雷.基于地震波阻抗反演的小层砂体预测技术:在大庆油田州57水平井区块的应用[J].石油与天然气地质,2010,31(2):212-218.
[30]王世瑞,王树平,狄帮让,等.基于地震属性特征的河道砂体预测方法[J].石油地球物理勘探,2009,44(3):304-313.
[31]赵晓明,吴胜和,岳大力,等.基于井—震结合的河流相单河道预测方法[J].大庆石油地质与开发,2010,29(6):171-174.
[2]焦艳丽.大庆油田萨北开发区二类油层储层沉积模式[J].大庆石油学院学报,2010,34(3):19-22.
[3]张秀丽,姜岩,郝兰英,等.密井网条件下随机地震反演及其在河道砂体预测中的应用[J].石油地球物理勘探,2014,49(5):954-963.
[4]吕晓光,李长出,蔡希源,等.松辽大型浅水湖盆三角洲沉积特征及前缘相储集层结构模型[J].沉积学报,1999,17(4):572-576.
[5]李勇根,徐胜峰.地震岩石物理和正演模拟技术在致密砂岩储层预测中的应用研究[J].石油天然气学报,2008,30(6):61-65.
[6]关昕,王建民,王元波,等.地震资料处理质量监控及效果分析[J].大庆石油地质与开发,2008,27(2):124-127.
[7]王道远.杏北地区老地震资料再处理后井震结合研究与应用[D].杭州:浙江大学,2011:28-35.
[8]王俊玲,李伯虎.榆树林地区三维地震资料岩性解释方法[J].大庆石油学院学报,1994,18(4):11-14.
[9]周水生,宜伟,郝召兵,等.基于叠前反演的流体敏感属性实验研究及应用[J].地球物理学报,2012,55(6):1985-1992.
[10]黄捍东,汪佳蓓,郭飞.敏感参数分析在叠前反演流体识别中的应用[J].物探与化探,2012,36(6):941-946.
[11]杜斌山,贺振华,曹正林,等.地震地质多信息融合的井震标定方法研究[J].天然气地球科学,2009,20(2):254-257.
[12]韩喜,高兴友,车廷信,等.利用地震属性沿层分析方法研究河流相沉积环境[J].石油地球物理勘探,2007,42(1):120-124.
[13]夏知伟.地震子波优化提取方法研究[D].成都:西南交通大学,2011:11-20.
[14]王利功,毕建军,王振辉,等.地震平面岩相解释方法的研究及应用[J].油气地球物理,2011,9(4):38-42.
[15]陈百军,边婧,赵海波.基于正演模拟分析叠后反演预测薄储层的能力[J].大庆石油地质与开发,2012,31(4):154-158.
[16]张玉芬,罗延钟,陶国强,等.影响地震道多尺度反演效果因素分析[J].物探与化探,2001,25(1):185-190.
[17]董艳蕾,朱筱敏,曾洪流,等.黄骅坳陷歧南凹陷古近系沙一层序地震沉积学研究[J].沉积学报,2008,26(2):234-240.
[18]王琦,李红梅.开发地震在大庆长垣喇嘛甸油田储层预测中的应用[J].石油与天然气地质,2012,33(3):491-495.
[19]李建雄,谷跃民,党虎强.高密度井网开发区井震联合储层预测方法:以SL盆地JN2区块为例[J].石油地球物理勘探,2011,46(3):457-462.
[20]李秀鹏,曾洪流,查明.地震沉积学在识别三角洲沉积体系中的应用[J].成都理工大学学报(自然科学版),2008,1(6):625-629.
[21]叶云飞,崔维,张益明,等.低频模型对波阻抗反演结果定量解释的影响[J].中国海上油气,2014,26(6):32-36.
[22]沈洪涛,郭乃川,秦童,等.地质统计学反演技术在超薄储层预测中的应用[J].地球物理学进展,2017,32(1):248-253.
[23]赵翰卿.大庆油田精细储层沉积学研究[M].北京:石油工业出版社,2011:1-60.
[24]伊振林.井震联合窄小河道砂体预测方法研究[J].西南石油大学学报(自然科学版),2012,34(1):19-24.
[25]郝兰英,郭亚杰,李杰,等.地震沉积学在大庆长垣密井网条件下储层精细描述中的初步应用[J].地学前缘,2012,19(2):81-86.
[26]李文龙.密井网区井震结合储层描述方法[J].大庆石油地质与开发,2016,35(4):137-142.
[27]苏燕,杨愈,白振华,等.密井网区井震结合进行沉积微相研究及储层预测方法探讨:以大庆杏树岗油田杏56区为例[J].地学前缘,2008,15(1):110-116.
[28]唐金荣.三维地震资料在密井网区井间储层预测中的应用:以大庆油田PN地区典型区块葡萄花油层为例[J].石油天然气学报,2010,32(5):220-223.
[29]单敬福,王峰,孙海雷.基于地震波阻抗反演的小层砂体预测技术:在大庆油田州57水平井区块的应用[J].石油与天然气地质,2010,31(2):212-218.
[30]王世瑞,王树平,狄帮让,等.基于地震属性特征的河道砂体预测方法[J].石油地球物理勘探,2009,44(3):304-313.
[31]赵晓明,吴胜和,岳大力,等.基于井—震结合的河流相单河道预测方法[J].大庆石油地质与开发,2010,29(6):171-174.