郭莉,王延斌,张春雷,姜福聪
GUO Li,et al.(Resource and Security Engineering Institute of Chinese University of Mining and Technology,Beijing 100083,China)

• 1:中国矿业大学资源与安全工程学院
• 2:中国矿业大学资源与安全工程学院
• 3:北京中恒利华石油技术研究所
• 4:大庆油田有限责任公司第七采油厂 北京100083

摘要(Abstract)：

采用同位协同随机建模技术,以反映储层含油性的电阻率测井参数为主变量,以地震波阻抗为协变量,对储集层的含油砂岩厚度进行了预测。根据大庆葡南油田葡333区块有效储层下限的解释标准,对电阻率随机模拟得到的多个实现进行解释,得到各实现的含油砂岩厚度,并以10 m含油砂岩厚度为风险门槛值分析了该区钻井风险性。新、老钻井的钻遇情况分析表明,应用序贯高斯同位协同地震属性数据的模拟方法进行储层预测的精度较高,利用多个随机模拟实现的差异性进行预测结果的风险性评价可以有效地降低钻井风险。
This study uses coordinate cooperation random modeling technique to predict oil bearing sandstone thickness of reservoir taking resistivity logging data as main variant which reflects oil bearing feature of reservoirs and seismic wave impedance as covariant.According to the interpretation standard of lower limit of effective reservoir in Block Pu333 in Punan Oil Field in Daqing,several realizations obtained from random modeling of resistivity are interpreted to determine sandstone thickness,and drilling risk is analyzed by taking 10m of sandstone thickness as risk threshold value.Analysis on accounting status of new and old wells drilling shows that using analog method of sequential Gauss coordinate cooperation seismic attribute has a high accuracy of prediction.Evaluating the risk of prediction results by using the difference among several random modeling can effectively reduce drilling risks.

关键词(KeyWords)： 随机模拟;同位协同;地震数据;风险分析;储层预测
random modeling;coordinate cooperation;seismic data;risk analysis;reservoir prediction

Abstract:

Keywords:

基金项目(Foundation): 国家科技部“973”重点基础研究项目(2002CB412702)

作者(Author): 郭莉,王延斌,张春雷,姜福聪
GUO Li,et al.(Resource and Security Engineering Institute of Chinese University of Mining and Technology,Beijing 100083,China)

参考文献(References)：

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