Your browser doesn't support javascript.
loading
Thermal Profiles in Water Injection Wells: Reduction in the Systematic Error of Flow Measurements during the Transient Regime.
Echaiz Espinoza, German Alberto; Oliveira, Gabriel Pereira de; Lima, Verivan Santos; Fonseca, Diego Antonio de Moura; Silva, Werbet Luiz Almeida da; Maitelli, Carla Wilza Souza de Paula; Villarreal, Elmer Rolando Llanos; Salazar, Andrés Ortiz.
Afiliación
  • Echaiz Espinoza GA; Department of Electronics Engineering, Universidad Nacional de San Agustin de Arequipa, Arequipa 04002, Peru.
  • Oliveira GP; Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, RN, Brazil.
  • Lima VS; Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, RN, Brazil.
  • Fonseca DAM; Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, RN, Brazil.
  • Silva WLAD; Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, RN, Brazil.
  • Maitelli CWSP; Department of Petroleum Engineering, Federal University of Rio Grande do Norte (DPET-UFRN), Natal 59072-970, RN, Brazil.
  • Villarreal ERL; Department of Natural Sciences, Mathematics, and Statistics, Federal Rural University of Semi-Arid (DCME-UFERSA), Mossoró 59625-900, RN, Brazil.
  • Salazar AO; Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, RN, Brazil.
Sensors (Basel) ; 23(23)2023 Nov 28.
Article en En | MEDLINE | ID: mdl-38067840
This article presents an analytical solution for calculating the flow rate in water injection wells based on the established thermal profile along the tubing. The intent is to minimize the intrinsic systematic error of classic quasi-static methodologies, which assume that all thermal transience on well completion has passed. When these techniques are applied during the initial hours of injection well operation, it can result in errors higher than 20%. To solve this limitation, the first law of thermodynamics was used to define a mathematical model and a thermal profile was established in the injection fluid, captured by using distributed temperature systems (DTSs) installed inside the tubing. The geothermal profile was also established naturally by a thermal source in the earth to determine the thermal gradient. A computational simulation of the injection well was developed to validate the mathematical solution. The simulation intended to generate the fluid's thermal profile, for which data were not available for the desired time period. As a result, at the cost of greater complexity, the systematic error dropped to values below 1% in the first two hours of well operation, as seen throughout this document. The code was developed in Phyton, version 1.7.0., from Anaconda Navigator.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Perú Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Perú Pais de publicación: Suiza