Studying joint influence of a number of factors on borehole cleaning
- Авторлар: Lambin A.I.1
-
Мекемелер:
- Irkutsk National Research Technical University
- Шығарылым: Том 44, № 4 (2021)
- Беттер: 448-457
- Бөлім: Exploration and Development of Mineral Deposits
- URL: https://ogarev-online.ru/2686-9993/article/view/358721
- DOI: https://doi.org/10.21285/2686-9993-2021-44-4-448-457
- ID: 358721
Дәйексөз келтіру
Толық мәтін
Аннотация
Studying the behavior of cuttings transport under various conditions using experimental observations and computational fluid dynamics is the main method for analyzing the influence of cuttings, fluid and operating parameters on well cleaning. Despite the existing abundant models and recommendations of researchers, still there are problems with the accuracy of determining the cuttings layer height, critical velocity and other key parameters, which complicates the task of effective solution of the problem of borehole cleaning. The purpose of the study is to analyze the models obtained via the organization of a full factorial experiment and variance analysis to identify the influence of such factors as viscosity and flow rate of the drilling fluid in the annular space and the inclination angle of the well on the degree of cuttings transport. The studies of the kind are carried out using special devices called flow loops. Experimental data were taken from literature sources. To organize a full factorial experiment, the data of the dependent variable were combined into a combinational square, which simplified the coding of factor values. After setting the full factorial experiment, the models were obtained that made it possible to assess the contribution of the studied factors to the process of destruction product removal within the intervals determined while setting the research tasks. The obtained models allowed to determine the influence degree of each of the factors on the process under investigation. The results of the succeeding analysis of variance confirmed the indicated degree of influence and determined the rank of each of the factors in percentage.
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Әдебиет тізімі
Крылов В. И., Крецул В. В. Особенности технологии промывки горизонтальных скважин // Нефтяное хозяйство. 2001. № 6. С. 36–40. Hamoudi M., Abdulwahhab A., Khalid A., Authman D., Mohammed Ameen R. Transportation of cuttings in inclined wells // UKH Journal of Science and Engineering. 2018. Vol. 2. Iss. 2. P. 3–13. https://doi.org/10.25079/ukhjse.v2n2y2018.pp3-13. Alsaihati A., Elkatatny S., Abdulraheem A. Real-time prediction of equivalent circulation density for horizontal wells using intelligent machines // ACS Omega. 2021. Vol. 6. Iss. 1. P. 934–942. https://doi.org/10.1021/acsomega.0c05570. Leporini M., Marchetti B., Corvaro F., di Giovine G., Polonara F., Terenzi A. Sand transport in multiphase flow mixtures in horizontal pipeline: an experimental investigation // Petroleum. 2019. Vol. 5. Iss. 2. P. 161–170. https://doi.org/10.1016/j.petlm.2018.04.004. Qu J., Yan T., Sun X., Li Z., Li W. Decaying swirl flow and particle behavior through the hole cleaning device for horizontal drilling of fossil fuel // Energies. 2019. Vol. 12. Iss. 3. P. 336. https://doi.org/10.3390/en12030336. Wei N., Meng Y., Li G., Wan L., Xu Z., Xu X., et al. Cuttings transport models and experimental visualization of underbalanced horizontal drilling // Mathematical Problems in Engineering. 2013. P. 764782. https://doi.org/10.1155/2013/764782. Okon A. N., Agwu O. E., Udoh F. D. Evaluation of the cuttings carrying capacity of a formulated syntheticbased drilling mud // SPE Nigeria Annual International Conference and Exhibition. Lagos, 2015.. URL: https://onepetro.org/SPENAIC/proceedingsabstract/15NAIC/All-15NAIC/SPE-178263-MS/184378 (22.08.2021). Okrajni S., Azar J. J. The effects of mud rheology on annular hole cleaning in directional wells // SPE Drilling Engineering. 1986. Vol. 1. Iss. 4. P. 297–308. https://doi.org/10.2118/14178-PA. Wang K., Yan T., Sun X., Shao S., Luan S. Review and analysis of cuttings transport in complex structural wells // The Open Fuels & Energy Science Journal. 2013. Vol. 6. P. 9–17. https://doi.org/10.2174/1876973X20130610001. Lin T., Wei C., Zhang Q., Sun T. Calculation of equivalent circulating density and solids concentration in the annular when reaming the hole in deepwater drilling // Chemistry and Technology of Fuels and Oils. 2016. Vol. 52. Iss. 1. P. 70–75. https://doi.org/10.1007/s10553-016-0674-5. Ofesi S. F., Onwukwe S. I., Duru U. I. Optimizing hole cleaning using low viscosity drilling fluid // Advances in Petroleum Exploration and Development. 2017. Vol. 14. Iss. 1. P. 55–61. https://doi.org/10.3968/9658. Dokhani V., Ma Y., Yu M. Determination of equivalent circulating density of drilling fluids in deepwater drilling // Journal of Natural Gas Science and Engineering. 2016. Vol. 34. P. 1096–1105. https://doi.org/10.1016/j.jngse.2016.08.009. Piroozian A., Ismail I., Yaacob Z., Babakhani P., Ismail A. S. I. Impact of drilling fluid viscosity, velocity and hole inclination on cuttings transport in horizontal and highly deviated wells // Journal of Petroleum Exploration and Production Technology. 2012. Vol. 2. P. 149–156. https://doi.org/10.1007/s13202-012-0031-0. Джонсон Н., Лион Ф. Статистика и планирование эксперимента в технике и науке: методы планирования эксперимента / пер. с англ. под ред. Э. К. Лецкого, Е. В. Марковой. М.: Мир, 1981. 516 с. Адлер Ю. П., Маркова Е. В., Грановский Ю. В. Планирование эксперимента при поиске оптимальных условий. М.: Наука, 1976. 279 с. Хартман К., Лецкий Э., Шефер В.. Планирование эксперимента в исследовании технологических процессов / пер. с нем. Г. А. Фомина, Н. С. Лецкой. М.: Мир, 1977. 552 с. Шеффе Г. Дисперсионный анализ / пер. с англ. Б. А. Севастьянова, В. П. Чистякова. М.: Наука, 1980. 512 c. Субботина А. В., Гржибовский А. М. Описательная статистика и проверка нормального распределения количественных данных // Экология человека. 2014. № 2. С. 51–57. Щукова К. Б. Применение однофакторного анализа для оценки производительности системы с помощью программы STATISTICA // Современная техника и технологии. 2015. № 12. URL: https://technology.snauka.ru/2015/12/8849 (22.08.2021). Algina J., Olejnik S. Conducting power analyses for ANOVA and ANCOVA in between-subjects designs // Evaluation & The Health Professions. 2003. Vol. 26. Iss. 3. P. 288–314. https://doi.org/10.1177/0163278703255248.
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