Publicado

2022-03-24

Numerical model for predicting and evaluating sand production in weakly consolidated reservoirs

Modelo numérico para predecir y evaluar la producción de arena en yacimientos poco consolidados

DOI:

https://doi.org/10.15446/dyna.v89n220.97093

Palabras clave:

Geomechanics, Sanding, Numerical simulation, Elastoplasticity, Mathematical modeling (en)
Geomecanica, Arenamiento, Simulación numérica, Elastoplasticidad, Modelamiento matemático (es)

Autores/as

Sand production is a common phenomenon in oil and gas reservoirs, which occurs when reservoir fluids exert a sufficient drag force on reservoir rocks to erode the matrix. Numerical models for sand production have been used to understand the sanding mechanisms and forecast sand-production potential of formations to design well completion, optimize production, and prevent setbacks in future operations. This paper presents a mathematical model for defining the conditions of sanding onset as well as to predict and quantify the sand rate. We also introduce fluid-flow coupling and a geomechanical and sand-production model. By using the proposed model and a set of experimental data, sanding-related variables are analyzed, and a matching process for the simulated results and forecast analysis are performed. The results show that elastoplastic constitutive models are indispensable, and a clear relationship exists between the sanding and plastic strains.

La producción de arena es un fenómeno común en los yacimientos de petróleo y gas. Este ocurre cuando los fluidos del yacimiento aplican una fuerza de arrastre suficiente sobre la roca yacimiento para erosionar la matriz. Los modelos numéricos para la producción de arena se utilizan para comprender los mecanismos de arenamiento y pronosticar el potencial de producción de arena de las formaciones con el fin de diseñar la terminación del pozo, optimizar la producción y evitar contratiempos en las operaciones futuras. Este artículo presenta un modelo matemático para definir las condiciones para el inicio del arenamiento, así como la predicción y cuantificación de la tasa de arena, acoplando un modelo de flujo de fluido, un modelo geomecánico y de producción de arena. Utilizando el modelo presentado y un conjunto de datos experimentales, se analizan las variables relacionadas con el arenamiento y se realiza un proceso de comparación de los resultados simulados y un ejercicio de pronóstico. Los resultados muestran que los modelos constitutivos elastoplásticos son indispensables y existe una clara relación entre la producción de arena y las deformaciones plásticas.

Referencias

Nouri, A., Vaziri, H.H., Belhaj, H.A. and Islam, M.R., Comprehensive transient modeling of sand production in horizontal wellbores. SPE Journal, 12(04), pp. 468-474, 2007. DOI: 10.2118/84500-PA

Rahmati, H., Jafarpour, M., Azadbakht, S., Nouri, A., Vaziri, H., Chan, D. and Xiao, Y., Review of sand production prediction models. Journal of Petroleum Engineering, 2013, art. 864981, 2013. DOI: 10.1155/2013/864981

Morita, N., Whitfill, D.L., Massie, I. and Knudsen, T.W., Realistic sand-production prediction: numerical approach. SPE Production Engineering, 4(01), pp. 15-24, 1989. DOI: 10.2118/16989-PA

Vardoulakis, I., Stavropoulou, M. and Papanastasiou, P., Hydro-mechanical aspects of the sand production problem. Transport in Porous Media, 22(2), pp. 225-244, 1996. DOI: 10.1007/BF01143517

Detournay, C., Numerical modeling of the slit mode of cavity evolution associated with sand production. SPE Journal, 14(4), pp. 797-804, 2009. DOI: 10.2118/116168-PA

Papamichos, E., Vardoulakis, I., Tronvoll, J. and Skjærstein, A., Volumetric sand production model and experiment. International Journal for Numerical and Analytical Methods in Geomechanics, 25(8), pp. 789-808, 2001. DOI: 10.1002/nag.154

Wang, J., Walters, D., Wan, R.G. and Settari, A., Prediction of volumetric sand production and wellbore stability analysis of a well at different completion schemes. Alaska Rocks 2005, The 40th US Symposium on Rock Mechanics (USRMS), American Rock Mechanics Association, Anchorage, Alaska, USA, 2005.

Gui, F., Khaksar, A., Zee, W.V.D. and Cadogan, P., Improving the sanding evaluation accuracy by integrating core tests, field observations and numerical simulation. SPE Asia Pacific Oil and Gas Conference and Exhibition, Society of Petroleum Engineers, Perth, Australia, 2016. DOI: 10.2118/182499-ms

Santana, C. and Likrama, F., Workflow on incorporating thick-walled cylinder test results in finite element models of near wellbore for sanding prediction studies. 50th US Rock Mechanics/Geomechanics Symposium. American Rock Mechanics Association, Houston, TX., 2016.

Wu, B., Choi, S.K., Denke, R., Barton, T., Viswanathan, C., Lim, S. and Jadid, M.B., A new and practical model for amount and rate of sand production estimation. Offshore Technology Conference Asia. Offshore Technology Conference, Kuala Lumpur, Malaysia, 2016. DOI: 10.4043/26508-ms

Nouri, A., Kuru, E. and Vaziri, H., Elastoplastic modelling of sand production using fracture energy regularization method. Journal of Canadian Petroleum Technology, 48(04), pp. 64-71, 2009. DOI: 10.2118/09-04-64

Kim, S.H., Sharma, M.M. and Fitzpatrick, H.J., A predictive model for sand production in poorly consolidated sands. International Petroleum Technology Conference, Bangkok, Thailand, 2011. DOI: 10.2523/iptc-15087-ms

Zhou, Z.Y., Yu, A.B. and Choi, S.K., Numerical simulation of the liquid-induced erosion in a weakly bonded sand assembly. Powder Technology, 211(2), pp. 237-249, 2011. DOI: 10.1016/j.powtec.2011.04.029

Wang, H., Cardiff, P. and Sharma, M.M., A 3-D poro-elasto-plastic model for sand production around open-hole and cased and perforated wellbores. 50th U.S. Rock Mechanics/Geomechanics Symposium, American Rock Mechanics Association, Houston, TX., 2016.

Wang, H. and Sharma, M.M., A fully 3-D, multi-phase, poro-elasto-plastic model for sand production. SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers, Dubai, UAE, 2016.

Fan, Z. and Yang, D., Quantification of sand production by use of a pressure-gradient-based sand failure criterion. SPE Canada Heavy Oil Technical Conference, Calgary, Alberta, Canada, February, 2017. DOI: 10.2118/185009-ms.

Chen, W.F. and Baladi, G.Y., Soil plasticity: theory and implementation (Vol. 38). Elsevier, 1985. DOI: 10.1016/c2009-0-09594-4

Nouri, A., Vaziri, H.H., Belhaj, H.A. and Islam, M.R., Sand-production prediction: a new set of criteria for modeling based on large-scale transient experiments and numerical investigation. In: SPE Annual Technical Conference and Exhibition. SPE J, 11, pp. 227-237, 2006. DOI: 10.2118/90273-PA

Ghabezloo, S., Sulem, J. and Saint-Marc, J., Evaluation of a permeability-porosity relationship in a low-permeability creeping material using a single transient test. International Journal of Rock Mechanics and Mining Sciences, 46(4), pp. 761-768, 2009. DOI: 10.1016/j.ijrmms.2008.10.003

Cómo citar

IEEE

[1]
E. F. Araujo Guerrero, C. B. Morales–Monsalve, G. A. Alzate Espinosa, y A. Arbelaez Londoño, «Numerical model for predicting and evaluating sand production in weakly consolidated reservoirs», DYNA, vol. 89, n.º 220, pp. 54–63, mar. 2022.

ACM

[1]
Araujo Guerrero, E.F., Morales–Monsalve, C.B., Alzate Espinosa, G.A. y Arbelaez Londoño, A. 2022. Numerical model for predicting and evaluating sand production in weakly consolidated reservoirs. DYNA. 89, 220 (mar. 2022), 54–63. DOI:https://doi.org/10.15446/dyna.v89n220.97093.

ACS

(1)
Araujo Guerrero, E. F.; Morales–Monsalve, C. B.; Alzate Espinosa, G. A.; Arbelaez Londoño, A. Numerical model for predicting and evaluating sand production in weakly consolidated reservoirs. DYNA 2022, 89, 54-63.

APA

Araujo Guerrero, E. F., Morales–Monsalve, C. B., Alzate Espinosa, G. A. & Arbelaez Londoño, A. (2022). Numerical model for predicting and evaluating sand production in weakly consolidated reservoirs. DYNA, 89(220), 54–63. https://doi.org/10.15446/dyna.v89n220.97093

ABNT

ARAUJO GUERRERO, E. F.; MORALES–MONSALVE, C. B.; ALZATE ESPINOSA, G. A.; ARBELAEZ LONDOÑO, A. Numerical model for predicting and evaluating sand production in weakly consolidated reservoirs. DYNA, [S. l.], v. 89, n. 220, p. 54–63, 2022. DOI: 10.15446/dyna.v89n220.97093. Disponível em: https://revistas.unal.edu.co/index.php/dyna/article/view/97093. Acesso em: 22 mar. 2026.

Chicago

Araujo Guerrero, Edson Felipe, Cristhian Bernardo Morales–Monsalve, Guillermo Arturo Alzate Espinosa, y Alejandra Arbelaez Londoño. 2022. «Numerical model for predicting and evaluating sand production in weakly consolidated reservoirs». DYNA 89 (220):54-63. https://doi.org/10.15446/dyna.v89n220.97093.

Harvard

Araujo Guerrero, E. F., Morales–Monsalve, C. B., Alzate Espinosa, G. A. y Arbelaez Londoño, A. (2022) «Numerical model for predicting and evaluating sand production in weakly consolidated reservoirs», DYNA, 89(220), pp. 54–63. doi: 10.15446/dyna.v89n220.97093.

MLA

Araujo Guerrero, E. F., C. B. Morales–Monsalve, G. A. Alzate Espinosa, y A. Arbelaez Londoño. «Numerical model for predicting and evaluating sand production in weakly consolidated reservoirs». DYNA, vol. 89, n.º 220, marzo de 2022, pp. 54-63, doi:10.15446/dyna.v89n220.97093.

Turabian

Araujo Guerrero, Edson Felipe, Cristhian Bernardo Morales–Monsalve, Guillermo Arturo Alzate Espinosa, y Alejandra Arbelaez Londoño. «Numerical model for predicting and evaluating sand production in weakly consolidated reservoirs». DYNA 89, no. 220 (marzo 23, 2022): 54–63. Accedido marzo 22, 2026. https://revistas.unal.edu.co/index.php/dyna/article/view/97093.

Vancouver

1.
Araujo Guerrero EF, Morales–Monsalve CB, Alzate Espinosa GA, Arbelaez Londoño A. Numerical model for predicting and evaluating sand production in weakly consolidated reservoirs. DYNA [Internet]. 23 de marzo de 2022 [citado 22 de marzo de 2026];89(220):54-63. Disponible en: https://revistas.unal.edu.co/index.php/dyna/article/view/97093

Descargar cita

CrossRef Cited-by

CrossRef citations2

1. Dejen Teklu Asfha, Abdul Halim Abdul Latiff, Daniel Asante Otchere, Bennet Nii Tackie-Otoo, Ismailalwali Babikir, Muhammad Rafi, Zaky Ahmad Riyadi, Ahmad Dedi Putra, Bamidele Abdulhakeem Adeniyi. (2024). Mechanisms of sand production, prediction–a review and the potential for fiber optic technology and machine learning in monitoring. Journal of Petroleum Exploration and Production Technology, 14(10), p.2577. https://doi.org/10.1007/s13202-024-01860-1.

2. Muhammad Muhammad, Azad Anugerah Ali Rasol. (2025). Advances and challenges of sand production and control in oilfields: A review. Results in Engineering, 25, p.104596. https://doi.org/10.1016/j.rineng.2025.104596.

Dimensions

PlumX

Visitas a la página del resumen del artículo

518

Descargas

Los datos de descargas todavía no están disponibles.