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Artificial Intelligent Approaches in Petroleum Geosciences

Artificial Intelligent Approaches in Petroleum Geosciences

 

148,61 €
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Editorial:
Springer Nature B.V.
Año de edición:
2016
Materia
Ciencias de la tierra/geociencias
ISBN:
9783319359922
148,61 €
IVA incluido
Disponible

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Sobre IBD

Intelligent Data Analysis Techniques - Machine Learning and Data Mining.- On meta-heuristics in optimization and data analysis. Application to geosciences.- Genetic Programming Techniques with Applications in the Oil and Gas Industry.- Application of Artificial Neural Networks in Geoscience and Petroleum Industry.- On Support Vector Regression to Predict Poisson’s Ratio and Young’s Modulus of Reservoir Rock.- Use of Active Learning Method to determine the presence and estimate the magnitude of abnormally pressured fluid zones: A case study from the Anadarko Basin, Oklahoma.- Active Learning Method for estimating missing logs in hydrocarbon reservoirs.- Improving the accuracy of Active Learning Method via noise injection for estimating hydraulic flow units: An example from a heterogeneous carbonate reservoir.- Well log analysis by global optimization-based interval inversion method.- Permeability estimation in petroleum reservoir by artificial intelligent methods: An overview.

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