应用随机模拟方法预测岩性圈闭
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摘要
波阻抗与岩性之间具有一定的概率相关关系。综合应用多学科信息进行岩性圈闭的随机建模研究 ,基本步骤包括 :建立井眼岩性的一维模型 ,作为三维岩性建模的控制数据 ;测井约束三维地震反演 ,获取高分辨率的三维波阻抗数据体 ;对波阻抗与岩性进行概率相关分析 ;根据沉积相类型选择随机建模方法后 ,进行地质统计特征分析 ;在三维构造建模的基础上进行三维岩相随机建模 ,获取多个模拟实现 ,进行多解性评价。以东营凹陷营 11区块沙河街组滑塌浊积扇岩性圈闭随机模拟为例 ,说明这一研究过程的基本步骤。图 4参 11
Probability correlative relation exists between acoustic impedance (AI) and lithology. The relation can be applied to make an effective prediction of lithologic traps by synthetically using the stochastic modeling method and multi disciplinary information. The general processes of this study include: lithology interpreting within the wells, as the constraining data of 3 D lithology modeling; well logging constrained seismic inversion, obtaining high frequency 3 D AI data; probability relation analysis between AI and lithology; selecting the methods of stochastic modeling based on facies type and then making the analysis of geologically statistical characteristics; 3 D stochastic modeling based on 3 D structural model, obtaining various alterative simulation realizations; then making assessment on multi explanations of lithologic trap forecasting realization. A case study of lithologic traps of turbidite fan deposits in Ying 11 district of Dongying Sag, Jiyang Depression, Bohai Bay Basin is carried out to show the general process of this research.
Probability correlative relation exists between acoustic impedance (AI) and lithology. The relation can be applied to make an effective prediction of lithologic traps by synthetically using the stochastic modeling method and multi disciplinary information. The general processes of this study include: lithology interpreting within the wells, as the constraining data of 3 D lithology modeling; well logging constrained seismic inversion, obtaining high frequency 3 D AI data; probability relation analysis between AI and lithology; selecting the methods of stochastic modeling based on facies type and then making the analysis of geologically statistical characteristics; 3 D stochastic modeling based on 3 D structural model, obtaining various alterative simulation realizations; then making assessment on multi explanations of lithologic trap forecasting realization. A case study of lithologic traps of turbidite fan deposits in Ying 11 district of Dongying Sag, Jiyang Depression, Bohai Bay Basin is carried out to show the general process of this research.
引文
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[2] 高先志,戴建春,曾洪流,等.用层间地震速度差异预测地层的岩性及含油气性[J].石油大学学报,1996,20(2):1722.
[3] 倪逸,杨慧珠,郭玲萱,等.储层油气预测中地震属性优选问题探讨[J].石油地球物理勘探,1999,34(6):614626.
[4] 张应波,张骥东.地震岩性预测新方法探索[J].石油地球物理勘探,1999,34(6):711722.
[5] 秦月霜,陈显森,王彦辉.用优选后的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):4445.
[6] 张娥,高书琴,侯成福,等.利用地震属性预测砂岩储集层厚度及含油饱和度[J].石油勘探与开发,2000,27(1):9294.
[7] 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):6976.
[8] 吴胜和,熊琦华,等.储层建模[M].北京:石油工业出版社,1999.
[9] 王家华,张团峰.油气储层随机建模[M].北京:石油工业出版社,2001.
[10] 吴胜和,熊琦华,等.储层建模中随机模型的适用性分析[A].石油地球科学文集(一)[C].北京:石油工业出版社,1998.
[11] 武军昌,吴胜和,尹伟,等.黄骅坳陷港西开发区新近系明化镇组沉积微相三维建模[J].古地理学报,2002,4(4):3946.
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