RPM-WEBBSYS: A web-based computer system to apply the rational polynomial method for estimating static formation temperatures of petroleum and geothermal wells

Wong-Loya, J.A.; Santoyo, E.; Andaverde, Jorge; Quiroz-Ruiz, Alfredo

doi:10.1016/j.cageo.2015.09.001

Cited by 6 publications

(2 citation statements)

References 32 publications

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“…One of these functions is the well-known RP function, which has been successfully used in a wide variety of engineering applications for modeling experimental data that exhibit an asymptotic trend e.g. [25,26,27,28,29,30,31,32] The RP function is based on the well-known Pade approximation [33], such an approximation is an RP function that could be proposed as a generalization of the Taylor polynomial model, where the mathematical function is given by the ratio of two polynomials.…”

Section: Models Resulting Frommentioning

confidence: 99%

A new practical model to describe Moisture Ratio behavior during drying process

Wong-Loya,

López-Ortiz,

Reyna-Guillén

2023

Preprint

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A new mathematical model has been developed to analyze the process of drying food. The model is based on a non-linear function fit of the moisture ratio behavior. To determine the moisture ratio behavior, the Rational Polynomial method of first and second order has been proposed, which allows a simple fit that approximately describes the moisture ratio behavior. The Pearson coefficients obtained for the fitted series were greater than 0.9948. The fitting process has been automated using a simple Wolfram language script. This model has been compared against the most commonly used models and applied to a set of 39 experimental data series. The RP method for the second order showed good agreement in 82.05% of the analyzed series and was the best fit in 61.5% of all the data sets. On the other hand, the first order showed good agreement in only 30.77% of the analyzed series.

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Section: Models Resulting Frommentioning

confidence: 99%

A new practical model to describe Moisture Ratio behavior during drying process

Wong-Loya,

López-Ortiz,

Reyna-Guillén

2023

Preprint

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“…The wellbore temperature gradually recovered with an increase of shut-in time, and then reached the thermodynamic equilibrium state between the wellbore fluid and formation. Based on evaluation of the temperature log spanning the shut-in of 60 days, it is assumed that the temperature approached its initial formation temperature due to the long thermal recovery period [45,46]. The amplitude of temperature variations in the upper section, from surface to 750 m, were lower than that of the third casing section (750 -3000m); the number of layers of casing for the upper section was greater than that of the bottom-hole section, which resulted in an increase of heat transfer.…”

Section: Field Applicationmentioning

confidence: 99%

Determination of transient temperature distribution inside a wellbore considering drill string assembly and casing program

Yang

Zhang

Meng

et al. 2017

Applied Thermal Engineering

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Heat exchange efficiency between each region of the wellbore and formation systems is influenced by the high thermal conductivity of the drill string and casing, which further affects temperature distribution of the wellbore. Based on the energy conservation principle, the Modified Raymond), Simplified and Full-scale models were developed, which were solved by the fully implicit finite difference method. The results indicated that wellbore and formation temperatures were significantly influenced at the connection points between the drill collar and drill pipe, as well as the casing shoe. Apart from the near surface, little change was observed in temperature distribution in the cement section. In the open-hole section, the temperature rapidly decreased in the circulation stage and gradually increased in the shut-in stage. Most important, the simulated result from the full-scale model coincided with the measured field data better than the other numerical models. These findings not only confirm the effect of the drill string assembly and casing programs on the wellbore and formation temperature distribution, but also contribute to resource exploration, drilling safety and reduced drilling costs.

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