不同井网密度下随机反演效果分析——以喇嘛甸油田北北二区块SⅢ组为例
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摘要
明确随机反演中井震作用机制及不同井网密度对反演结果的影响。以喇嘛甸油田北北二区块、SⅢ组为研究对象,选择700m,450m,260m,175m,150m和125m不同井距井网,运用随机反演方法进行储层预测。结果表明测井数据主要起到硬数据的作用,而井间地震起到一个"过滤器"的作用,它能降低砂体预测的多解性。对于延展范围小、薄层河道间砂体,在现今井网密度条件下,精度更高;对于延展范围大、厚层的河道砂体,在260m井距的识别率已经达到79.5%,兼顾了测井的纵向分辨率和地震的横向分辨率,工作效率更高。
The authors identify the wells and seismic action mechanism in the stochastic inversion and the effect of different well pattern densities on the inversion result.Taking Group SⅢ in North Block 2 of North Lamadian oilfield for example,they select the well pattern with different well spaces,such as,700 m,450 m,260 m,175 m,150 m,125 m,and use the random inversion method to make the reservoir prediction.The result shows that the well-logging data play a decisive role,and the crosswell seismic plays a "filter" role.The latter can decrease the multiplicity of sand body prediction.For the sand bodies in narrow extensive and thin-layer channels,the prediction precision is much higher under the nowaday well pattern density.And for the sand bodies in thick-layer and wide-ranging channels with 260 m well space,the discrimination reaches 79.5%,having both the well-logging axial resolution and seismic lateral resolution,so the work is more efficient.
The authors identify the wells and seismic action mechanism in the stochastic inversion and the effect of different well pattern densities on the inversion result.Taking Group SⅢ in North Block 2 of North Lamadian oilfield for example,they select the well pattern with different well spaces,such as,700 m,450 m,260 m,175 m,150 m,125 m,and use the random inversion method to make the reservoir prediction.The result shows that the well-logging data play a decisive role,and the crosswell seismic plays a "filter" role.The latter can decrease the multiplicity of sand body prediction.For the sand bodies in narrow extensive and thin-layer channels,the prediction precision is much higher under the nowaday well pattern density.And for the sand bodies in thick-layer and wide-ranging channels with 260 m well space,the discrimination reaches 79.5%,having both the well-logging axial resolution and seismic lateral resolution,so the work is more efficient.
引文
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[5]苏云,李录明,钟峙,等.随机反演在储层预测中的应用[J].煤田地质与勘探,2009,37(6):63-65.
[6]黄捍东,张如伟,魏世平.地震非线性随机反演方法在陆相薄砂岩储层预测中的应用[J].石油学报,2009,30(3):386-390.
[7]宋维琪,赵万金,冯磊,等.地震高分辩反演和地质模拟联合预测薄储层[J].石油学报,2005,26(1):50-54.
[8]刘三军,侯春艳,杨文革.喇嘛甸油田南中块精细构造分析及其在勘探开发中的应用效果[J].中国石油勘探,2001,6(2):87-89.
[9]吕铁良,王永刚,谢万学,等.稀疏脉冲反演技术在井间地震反演中的应用[J].石油物探,2007,46(1):58-63.
[10]孙思敏,彭仕宓.地质统计学反演及其在吉林扶余油田储层预测中的应用[J].物探与化探,2007,31(1):51-53.
[11]Dubrule O G,Thibaut M S,Lamy P T,et al.Geostatistical reservoir factorization constrained by3Dseismic data[J].Petroleum science,1998,4(2):30-32.
[2]Rothman D H.Geostatistical inversion of 3Dseismicdata for thinsand delineation[J].Geophysics,1998,51(2):332-334.
[3]张永刚.地震波阻抗反演技术的现状和发展[J].石油物探,2004,41(4):385-390.
[4]李黎,王永刚.地质统计学反演综述[J].勘探地球物理进展,2006,29(3):163-169.
[5]苏云,李录明,钟峙,等.随机反演在储层预测中的应用[J].煤田地质与勘探,2009,37(6):63-65.
[6]黄捍东,张如伟,魏世平.地震非线性随机反演方法在陆相薄砂岩储层预测中的应用[J].石油学报,2009,30(3):386-390.
[7]宋维琪,赵万金,冯磊,等.地震高分辩反演和地质模拟联合预测薄储层[J].石油学报,2005,26(1):50-54.
[8]刘三军,侯春艳,杨文革.喇嘛甸油田南中块精细构造分析及其在勘探开发中的应用效果[J].中国石油勘探,2001,6(2):87-89.
[9]吕铁良,王永刚,谢万学,等.稀疏脉冲反演技术在井间地震反演中的应用[J].石油物探,2007,46(1):58-63.
[10]孙思敏,彭仕宓.地质统计学反演及其在吉林扶余油田储层预测中的应用[J].物探与化探,2007,31(1):51-53.
[11]Dubrule O G,Thibaut M S,Lamy P T,et al.Geostatistical reservoir factorization constrained by3Dseismic data[J].Petroleum science,1998,4(2):30-32.
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