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Method of forming a model representative of the distribution of a physical quantity in an underground zone, free of the effect of correlated noises contained in exploration data

机译:形成表示地下区域中物理量分布的模型的方法,该方法不受勘探数据中包含的相关噪声的影响

摘要

A method of forming, from data obtained by exploration of a zone of a heterogeneous medium, a model representative of the distribution in the zone of at least one physical quantity amply free of the presence of correlated noises that may be contained in the data is disclosed. The method essentially comprises the following stages any acquisition of data giving information about certain characteristics of the zone, specification of a modelling operator which associates the response of the model with a model (synthetic data), modelling of each correlated noise by applying a specific modelling operator to a noise-generating function (n.g.f.), specification of a semi-norm in the data space, specification, in each n.g.f. space, of a norm for which each noise modelling operator constitutes an isometry, and seeking, the model and the n.g.f. which minimize a cost function quantifying, by means of the semi-norm, the difference between the measured data and the superposition of the response of the model and of the noises associated with the n.g.f.
机译:公开了一种由通过探索异质介质的区域获得的数据形成表示至少一个物理量的区域中的分布的模型的方法,该至少一个物理量充分地不存在可能包含在数据中的相关噪声。 。该方法主要包括以下几个阶段:获取有关该区域某些特征的信息的数据的任何获取,将模型的响应与模型(合成数据)相关联的建模算子的规范,通过应用特定建模对每个相关噪声进行建模噪声生成函数(ngf)的运算符,每个ngf中数据空间中半规范的规范,规范每个噪声建模算子都构成等轴测线的范数的空间,并寻找模型和n.g.f。这通过半范数最小化了一个成本函数,它量化了测量数据与模型响应以及与nf相关联的噪声的叠加之间的差异。

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