Artificial intelligent approaches in...
Cranganu, Constantin.

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  • Artificial intelligent approaches in petroleum geosciences
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Artificial intelligent approaches in petroleum geosciences/ edited by Constantin Cranganu, Henri Luchian, Mihaela Elena Breaban.
    其他作者: Cranganu, Constantin.
    出版者: Cham :Springer International Publishing : : 2015.,
    面頁冊數: xii, 290 p. :ill., digital ;24 cm.
    內容註: 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.
    Contained By: Springer eBooks
    標題: Petroleum - Geology -
    電子資源: http://dx.doi.org/10.1007/978-3-319-16531-8
    ISBN: 9783319165318 (electronic bk.)
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W9270160 電子資源 11.線上閱覽_V 電子書 EB TN870.5 .A791 2015 一般使用(Normal) 在架 0
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