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公开(公告)号：US08311789B2
公开(公告)日：2012-11-13
申请号：US11361782
申请日：2006-02-24
CPC分类号： E21B47/10 , E21B47/00 , E21B49/00 , G01V11/00 , G01V2210/665
摘要： A system and method identify hydrocarbon productive reservoir zones using Monte Carlo numerical analysis to account for uncertainties in log measurements and petrophysical parameters. Random errors in logging tool responses and core measurements, as well as reservoir heterogeneity, are incorporated in a Monte Carlo simulation to output appropriate petrophysical models to calculate statistical distributions for saturation and permeability to define productive zones, non-productive zones and zones of undetermined productivity as a basis of deciding whether additional logging, core sampling or well test data are needed to reclassify the undetermined zones as either productive or non-productive. As uncertainties are quantified in the analysis, the degree of certainty in determining productive and non-productive zones is known and can be used to decide whether to further test, stimulate or abandon reservoir zones.
摘要翻译： 一个系统和方法使用蒙特卡洛数值分析来识别碳氢化合物生产性储层区，以解释对数测量和岩石物理参数的不确定性。 记录工具响应和核心测量以及油藏异质性中的随机误差被纳入蒙特卡罗模拟中，以输出适当的岩石物理模型，以计算饱和度和渗透率的统计分布，以定义生产区域，非生产区域和未确定生产率区域 作为决定是否需要额外测井，核心采样或井测试数据将未确定区域重新分类为生产性或非生产性的基础。 由于分析中的不确定性被量化，确定生产和非生产区的确定程度是已知的，可用于决定是否进一步测试，刺激或放弃油藏区。
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公开(公告)号：US20070203681A1
公开(公告)日：2007-08-30
申请号：US11361782
申请日：2006-02-24
IPC分类号： G06G7/48
CPC分类号： E21B47/10 , E21B47/00 , E21B49/00 , G01V11/00 , G01V2210/665
摘要： A system and method identify hydrocarbon productive reservoir zones using Monte Carlo numerical analysis to account for uncertainties in log measurements and petrophysical parameters. Random errors in logging tool responses and core measurements, as well as reservoir heterogeneity, are incorporated in a Monte Carlo simulation to output appropriate petrophysical models to calculate statistical distributions for saturation and permeability to define productive zones, non-productive zones and zones of undetermined productivity as a basis of deciding whether additional logging, core sampling or well test data are needed to reclassify the undetermined zones as either productive or non-productive. As uncertainties are quantified in the analysis, the degree of certainty in determining productive and non-productive zones is known and can be used to decide whether to further test, stimulate or abandon reservoir zones.
摘要翻译： 一个系统和方法使用蒙特卡洛数值分析来识别碳氢化合物生产性储层区，以解释对数测量和岩石物理参数的不确定性。 记录工具响应和核心测量以及油藏异质性中的随机误差被纳入蒙特卡罗模拟中，以输出适当的岩石物理模型，以计算饱和度和渗透率的统计分布，以定义生产区域，非生产区域和未确定生产率区域 作为决定是否需要额外测井，核心采样或井测试数据将未确定区域重新分类为生产性或非生产性的基础。 由于分析中的不确定性被量化，确定生产和非生产区的确定程度是已知的，可用于决定是否进一步测试，刺激或放弃油藏区。
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