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Scholars Journal of Physics, Mathematics and Statistics | Volume-2 | Issue-02
Analysis of Hydrocarbon Loss Based on Neural Network Geochemical Recovery Correction
Shaohua Zhou
Published: May 23, 2015 |
99
86
DOI: 10.36347/sjpms
Pages: 256-259
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Abstract
Data obtained by rock pyrolysis analysis is only part of the hydrocarbon content in the stratum, which will
affect the credibility of information and evaluation of oil-gas-water layers. Therefore, it is necessary to restore calibration
of parameters for pyrolytic chromatography. This paper selects 5 factors to analyze the geochemical analysis of
hydrocarbon loss. History data to establish a neural network to analysis the hydrocarbon loss recovery correction model
in this paper, the accuracy of the model meets the requirements, get better correction effect, has the value of application.
Keywords: neural network; geochemical analysis; Correction