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

cognizant

Interval and Fuzzy Kriging Techniques Applied to Geological and Geophysical Variablesy managed may not be fully satisfactory, in some cases. Conventional kriging techniques are capable of dealing with the . associated with under-sampled smaller scale variability and with the . specified by data measurement errors. However, in some instances, the . is associated with ., which leads t

Harness

Application of Self-Organizing Feature Maps to Reservoir Characterizationrvoir characterization. Calculating reservoir properties has typically been a process of extrapolation or interpolation from a sparse number of locations using geostatistical methods. A neural networks approach allows estimation of reservoir parameters from not only the sparse set of well locations,

压倒

Taking One Step Forward in Reservoir Characterization Using Artificial Neural Networksize the hydrocarbon reservoirs. The conventional reservoir characterization studies normally involve a series of data collection and interpretation processes that can be cost prohibitive. This chapter reviews a collection of methods developed by the author over several years in order to generate a b

LANCE

Metastasis

Predicting Petrophysical Parameters in a Fuzzy Environmentny degree of accuracy by covering its graph with a finite number of fuzzy patches. Every patch is identified with a fuzzy If-Then rule which describes a local input-output relationship between the variables of the model. A methodology to construct the fuzzy rules from a set of input-output data usin

桶去微染

The Application of Fuzzy Logic and Genetic Algorithms to Reservoir Characterization and Modelingoir characterization of permeability, litho-facies and other properties of the rocks is essential. A good model depends on calibration at the well locations, with cored wells providing the best data. A subset of wells may contain specialized information such as shear velocity data, whereas other wel

lobster

The Use of Soft Computing Techniques as Data Preprocessing and Postprocessing in Permeability Determability interpretation models in well log data analysis. Regardless of which soft computing techniques are used, they rely on a set of core permeability data to give a better understanding of the formation. However, uncertainties and errors with the core permeability data may undetermined the accura

carotid-bruit

Fibrin

Automated Reconstruction of a Basin Thermal History with Integrated Paleothermometry and Genetic Algrmal history model of a source-rock (and thereby the basin) becomes very critical for basins with complex geologic histories..Traditionally, a basin thermal history has been predicted based on burial history constrained by present-day temperature and organic maturity indicators (e.g. vitrinite refle

Harrowing

An Automatic Geophysical Inversion Procedure Using a Genetic Algorithmgeophysical prospection. The goal of the inverse problem in seismic reflection is to identify the velocity distribution in the underground from recorded reflection profiles of acoustic waves. This identification problem can be turned into an optimization problem whose the objective function is quite