Thermal Profiles in Water Injection Wells: Reduction in the Systematic Error of Flow Measurements during the Transient Regime

Author:

Echaiz Espinoza German Alberto1ORCID,Oliveira Gabriel Pereira de2ORCID,Lima Verivan Santos2ORCID,Fonseca Diego Antonio de Moura2ORCID,Silva Werbet Luiz Almeida da2ORCID,Maitelli Carla Wilza Souza de Paula3ORCID,Villarreal Elmer Rolando Llanos4ORCID,Salazar Andrés Ortiz2ORCID

Affiliation:

1. Department of Electronics Engineering, Universidad Nacional de San Agustin de Arequipa, Arequipa 04002, Peru

2. Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, RN, Brazil

3. Department of Petroleum Engineering, Federal University of Rio Grande do Norte (DPET-UFRN), Natal 59072-970, RN, Brazil

4. Department of Natural Sciences, Mathematics, and Statistics, Federal Rural University of Semi-Arid (DCME-UFERSA), Mossoró 59625-900, RN, Brazil

Abstract

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.

Funder

Universidad Nacional de San Agustin de Arequipa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference14 articles.

1. Thomas, J.E. (Organizador) (2001). Fundamentos de Engenharia de Petróleo, Interciência. [2nd ed.]. (In Portuguese).

2. Reges, J.E.O., Salazar, A.O., Maitelli, C.W.S.P., Carvalho, L.G., and Britto, U.J.B. (2016). Flow Rates Measurement and Uncertainty Analysis in Multiple-Zone Water-Injection Wells from Fluid Temperature Profiles. Sensors, 16.

3. An analytical solution for wellbore heat transmission in layered formations;Wu;SPE Reserv. Eng.,1990

4. Lima, V.S. (2019). Perfis téRmicos em Poços Injetores d’água: Redução do Erro Sistemático na Medição de Vazão Durante o Regime Transitório. [Ph.D. Thesis, UFRN University]. (In Portuguese).

5. Wellbore heat transmission;Ramey;J. Pet. Technol.,1962

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