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    • 1. 发明申请
    • Method of constructing a geological model of a subsoil formation constrained by seismic data
    • 构造受地震资料约束的下层地层地质模型的方法
    • US20080162093A1
    • 2008-07-03
    • US12000246
    • 2007-12-11
    • Philippe NivletNathalie Lucet
    • Philippe NivletNathalie Lucet
    • G06F17/11G06G7/48
    • G01V1/30
    • An method of constructing a geological model of a subsoil formation constrained by seismic data having application to petroleum reservoir development is disclosed. Logs relative to geological properties are acquired and a seismic facies cube is constructed. Logs relative to geological properties and logs relative to seismic facies are then simulated. Then distribution of proportions is estimated at any point on the subsoil by means of the acquired logs in the well and of the simulated logs. A seismic constraint is then defined by constructing a lithologic facies average proportion cube from these estimated proportion distributions. Finally, a geological model wherein the geological properties are constrained by this lithologic facies average proportion cube is constructed.
    • 公开了一种构造受地震数据约束的底土地层地质模型的应用于石油储层开发的方法。 获取相对于地质属性的对数,并构建地震相立方体。 然后模拟相对于地质属性和相对于地震相的原木的对数。 然后通过井中的采集日志和模拟日志在底土上的任何点估计比例分布。 然后通过从这些估计的比例分布构造岩性相平均比例立方体来定义地震约束。 最后,构造了地质特征受岩性相平均比例立方体约束的地质模型。
    • 3. 发明授权
    • Method for facilitating recognition of objects, notably geologic objects, by means of a discriminant analysis technique
    • 通过判别分析技术便于识别物体,特别是地质物体的方法
    • US06847895B2
    • 2005-01-25
    • US09949930
    • 2001-09-12
    • Philippe NivletFrédérique FournierJean-Jacques Royer
    • Philippe NivletFrédérique FournierJean-Jacques Royer
    • G06K9/62G06F19/00
    • G06K9/6226G06K9/6278
    • The invention is a method for facilitating recognition of objects, using a discriminant analysis technique to classify the objects into predetermined categories. A learning base comprising objects that have already been recognized and classified into predetermined categories is formed with each category being defined by variables of known statistical characteristics. A classification function using a discriminant analysis technique, which allows distribution among the categories the various objects to be classified from measurements available on a number of parameters, is constructed by reference to the learning base. This function is formed by determining the probabilities of the objects belonging to the various categories by taking account of uncertainties about the parameters as intervals of variable width. Each object is then assigned, if possible, to one or more predetermined categories according to the relative value of the probability intervals.
    • 本发明是一种便于识别对象的方法,使用判别分析技术将对象分类为预定类别。 形成包括已被识别并分类为预定类别的对象的学习基础,每个类别由已知统计特征的变量定义。 使用判别式分析技术的分类功能,其通过参考学习基础来构建,其允许在类别之间分配从多个参数可用的测量中分类的各种对象。 通过考虑作为可变宽度的间隔的参数的不确定性来确定属于各种类别的对象的概率来形成该功能。 然后,如果可能,则根据概率间隔的相对值将每个对象分配给一个或多个预定类别。