Soft computing: tools for intelligent reservoir characterization (IRESC) and optimum well placement (OWP)

Nikravesh, Masoud; Adams, Roy D.; Levey, Raymond A.

doi:10.1016/s0920-4105(01)00093-6

Cited by 19 publications

(2 citation statements)

References 22 publications

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“…Por exemplo, a visualização de estruturas formadas pelo sinal real e por algumas de suas transformadas. Várias transformadas são categorizadas na literatura sísmica [5]. Neste artigo optamos por três dentre as existentes, conhecidas como atributos instantâneos: amplitude instantânea, fase instantânea e a freqüência instantânea.…”

Section: Os Dados Sísmicosunclassified

Agrupamento de dados sísmicos através do algoritmo de Kohonen

Fleck¹,

Pedreira²,

Santos³

2016

Anais Do 6. Congresso Brasileiro De Redes Neurais

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Section: Os Dados Sísmicosunclassified

Agrupamento de dados sísmicos através do algoritmo de Kohonen

Fleck¹,

Pedreira²,

Santos³

2016

Anais Do 6. Congresso Brasileiro De Redes Neurais

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“…Genetic algorithms (GAs), originally proposed by Holland (1975), are a biologically inspired computational approach to optimization through a simultaneous search on different areas of the cost function space and have proven useful as inversion or optimization techniques in several areas, including geoscience (Mallick 1999;Potter, Wright and Corbett 1999;Aurnhammer and Tönnies 2005). Different applications of GAs have been developed (Rodríguez-Zuñiga et al 1997;Mc-Cormack et al 1999;Nikravesh, Adams and Levey 2001).…”

Section: Introductionmentioning

confidence: 99%

A genetic algorithm for filter design to enhance features in seismic images

Orozco-del-Castillo

Ortíz-Alemán

Urrutia‐Fucugauchi

et al. 2013

Geophysical Prospecting

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A B S T R A C TWe present a novel method to enhance seismic data for manual and automatic interpretation. We use a genetic algorithm to optimize a kernel that, when convolved with the seismic image, appears to enhance the internal characteristics of salt bodies and the sub-salt stratigraphy. The performance of the genetic algorithm was validated by the use of test images prior to its application on the seismic data. We present the evolution of the resulting kernel and its convolved image. This image was analysed by a seismic interpreter, highlighting possible advantages over the original one. The effects of the kernel were also subject to an automatic interpretation technique based on principal component analysis. Statistical comparison of these results with those from the original image, by means of the Mann-Whitney U-test, proved the convolved image to be more appropriate for automatic interpretation.

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IRESC: Reservoir Characterization

Nikravesh

Advances in Soft Computing

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Soft computing: tools for intelligent reservoir characterization (IRESC) and optimum well placement (OWP)

Cited by 19 publications

References 22 publications

Agrupamento de dados sísmicos através do algoritmo de Kohonen

Agrupamento de dados sísmicos através do algoritmo de Kohonen

A genetic algorithm for filter design to enhance features in seismic images

IRESC: Reservoir Characterization

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