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Use of Multiple Linear Regression for the Prediction of Thermal Regime of Wells

Y. S. Biletskyi et al · Vasyl Stefanyk Carpathian National University · 2017

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<p>Questions of prediction of the thermal regime of a well for the calculation of the drilling parameters have been discussed. Researches and publications have been analyzed, and it has been noted, that despite the fact that the need for such forecast is indicated, there are no recommendations for the techniques in literature sources. It has been proposed to perform this prediction using multiple regression analysis, using the results of the temperature measurements, which are performed during geophysical research of a well immediately after drilling. The example of the use of the proposed methodology has been shown. Based on mathematical statistical analysis of the obtained results, it has been confirmed that the temperatureregime depends not only on the depth of the horizontal position, but also on the time of operation of afield.</p><p>Keywords: field, well, geothermal step,multiple linear regression, prediction.</p>

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APA 7

al, Y. S. B. E. (2017). Use of Multiple Linear Regression for the Prediction of Thermal Regime of Wells. https://doi.org/10.15330/pcss.17.4.637-642

MLA

al, Y. S. Biletskyi et. "Use of Multiple Linear Regression for the Prediction of Thermal Regime of Wells." 2017. https://doi.org/10.15330/pcss.17.4.637-642.

Chicago

al, Y. S. Biletskyi et. 2017. "Use of Multiple Linear Regression for the Prediction of Thermal Regime of Wells.". https://doi.org/10.15330/pcss.17.4.637-642.

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al, Y. S. B. E. 2017, Use of Multiple Linear Regression for the Prediction of Thermal Regime of Wells, Vasyl Stefanyk Carpathian National University, available at: https://doi.org/10.15330/pcss.17.4.637-642 [Accessed 7 Aug. 2026].

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Title
Use of Multiple Linear Regression for the Prediction of Thermal Regime of Wells
Author / contributors
Y. S. Biletskyi et al
Publisher
Vasyl Stefanyk Carpathian National University
Publication year
2017
ISSN
1729-4428
ISSN
1729-4428
Language
English
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