2015
DOI: 10.1007/s12583-015-0512-4
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Predicting initial formation temperature for deep well engineering with a new method

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Cited by 10 publications
(3 citation statements)
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“…Among these factors, the most significant is the temperature of the rocks surrounding the well. It is known that the temperature of rocks increases with depth in accordance with the value of the geothermal gradient, which is largely determined by specific geological conditions (Zhou, Xiong, & Tian, 2015;Sevillano, De Andrade, & Sangesland, 2017). Most models used in practice assume a linear dependence of the rock temperature distribution on depth.…”
Section: A Short Profile Of the State Of The Artmentioning
confidence: 99%
“…Among these factors, the most significant is the temperature of the rocks surrounding the well. It is known that the temperature of rocks increases with depth in accordance with the value of the geothermal gradient, which is largely determined by specific geological conditions (Zhou, Xiong, & Tian, 2015;Sevillano, De Andrade, & Sangesland, 2017). Most models used in practice assume a linear dependence of the rock temperature distribution on depth.…”
Section: A Short Profile Of the State Of The Artmentioning
confidence: 99%
“…However, due to the traffic and construction conditions in remote plateaus and mountainous areas, the traditional drilling and geophysical exploration methods are often difficult to carry out. Therefore, in the tunnel survey stage, obtaining a relatively accurate prediction and classification of the heat damage of the tunnel based on the temperature of the surrounding rock has become an engineering problem [10,15,16]. In an area that cannot be completely assessed by drilling and geophysical exploration, other means, such as numerical simulation and theoretical speculation, must be utilized when predicting the tunnel heat damage based on limited data.…”
Section: Introductionmentioning
confidence: 99%
“…In order to estimate the SFT using BHTs and shut-in times, we find numerous analytical methods (i.e. Horner, 1951;Ascencio et al, 1994;Hassan and Kabir, 1994;Kutasov and Eppelbaum, 2005;Zhou et 2015) and simulators (i.e. Beirute, 1991;García et al, 1998;Porkhial et al, 2015).…”
Section: Introductionmentioning
confidence: 99%