Titlebook: Soft Computing for Reservoir Characterization and Modeling; Patrick Wong,Fred Aminzadeh,Masoud Nikravesh Book 2002 Springer-Verlag Berlin

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An Automatic Geophysical Inversion Procedure Using a Genetic Algorithmlso a crucial step for the success of the inversion method. The classic least square error (LSE) can be successfully used for the inversion of simple models in reasonable computing times. However, when dealing with more complex models that are greedier in terms of computing time, the LSE criterion a

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Statistical Pattern Recognition and Geostatistical Data Integrationistical framework does not allow an easy integration of “non-linear” reservoir data. Due to the nature of the governing physical laws, seismic amplitude data and production history data both exibit a non-linear and multiple point relationship with petrophysical properties such as porosity and permea

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How to Improve Reservoir Characterization Models Using Intelligent Systemscepts of multivariate statistical analysis, neural network, and fuzzy logic are integrated to get better petrophysical models. The first step in this methodology is to preprocess data, for which Q-Q plots are used with 95% confidence ellipses for quality control. After that, the dominant and the opt

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Book 2002e common ways of improving technical systems. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use "Principle 1: Segmentation," or "Principle 8: Counterweight," or "Principle 15: Dynamicity," or

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Predicting Petrophysical Parameters in a Fuzzy Environmentg fuzzy clustering algorithms is presented. The structure and parameters of the fuzzy model are extracted from the detected fuzzy partition. In order to demonstrate the effectiveness of the proposed fuzzy modeling method an application is presented using well log and core data from the Lake Maracaibo Basin.

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Application of Neural Networks in Determining Petrophysical Properties from Seismic Surveyof reservoir rock petrophysical properties. Recent developments in seismic technology have attracted our attention back to the possibility of using seismic attributes for determining reservoir rock properties in general. This is to deviate from the traditional use of seismic data merely as support i

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