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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">scienceit</journal-id><journal-title-group><journal-title xml:lang="ru">Наука. Инновации. Технологии</journal-title><trans-title-group xml:lang="en"><trans-title>Science. Innovations. Technologies</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2308-4758</issn><publisher><publisher-name>North-Caucasus Federal University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.37493/2308-4758.2024.3.8</article-id><article-id custom-type="elpub" pub-id-type="custom">scienceit-692</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>РАЗРАБОТКА И ЭКСПЛУАТАЦИЯ НЕФТЯНЫХ И ГАЗОВЫХ МЕСТОРОЖДЕНИЙ (технические науки)</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>DEVELOPMENT AND OPERATION OF OIL AND GAS FIELDS (technical sciences)</subject></subj-group></article-categories><title-group><article-title>Анализ причин низкой наработки на отказ насосного оборудования объекта с высоковязкой нефтью пермокарбоновой залежи</article-title><trans-title-group xml:lang="en"><trans-title>Analysis of the reasons for low mean time between failures of pumping equipment at a high-viscosity permo-carbon oil deposit</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0007-6402-5134</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Иванов</surname><given-names>Д. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Ivanov</surname><given-names>D. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Денис Александрович Иванов — ведущий инженер отдела мониторинга добычи нефти и газа</p><p>Researcher ID: LDG-6022-2024</p><p>3, Покровский б-р, стр. 1б, Москва, 109028</p></bio><bio xml:lang="en"><p>Denis A. Ivanov — Lead Engineer, Oil and Gas Production Monitoring Depart­ment,</p><p>ResearcherID: LDG-6022-2024</p><p>3, Pokrovskiy Blvg., Blbd. 1b, Moscow, 109028</p></bio><email xlink:type="simple">denis_a_ivanov@hotmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ЛУКОЙЛ-Инжиниринг</institution><country>Россия</country></aff><aff xml:lang="en"><institution>LUKOIL-Engineering</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>09</day><month>10</month><year>2024</year></pub-date><volume>0</volume><issue>3</issue><elocation-id>157–179</elocation-id><permissions><copyright-statement>Copyright &amp;#x00A9; Иванов Д.А., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Иванов Д.А.</copyright-holder><copyright-holder xml:lang="en">Ivanov D.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://scienceit.elpub.ru/jour/article/view/692">https://scienceit.elpub.ru/jour/article/view/692</self-uri><abstract><p>УШГН (установка штангового глубинного насоса) в условии нагрева пласта паром после ПЦО (пароциклической обра­ботки) работает в широком диапазоне реологических свойств флюидов и температуры среды. На начальном этапе проис­ходит добыча горячей нефтесодержащей жидкости с темпе­ратурой порядка 200 °С и вязкостью несколько десятков сПз. В этот период также отбирается вся закаченная вода, кото­рая поступила в пласт в виде пара в процессе пароцикличес­кой обработки. Через несколько месяцев эксплуатации, пос­ле остывания призабойной зоны, вязкость нефти увеличи­вается до нескольких сотен сПз. Также возрастает влияние стабильных эмульсий на свойства флюидов. Данные изме­нения приводят к росту нагрузок на насосное оборудование в процессе эксплуатации, что приводит к преждевременным отказам. Задача по обеспечению длительной эксплуатации УШГН с высокой наработкой на отказ является наиболее востребованной при данных условиях работы ГНО (глубин­но насосное оборудование). Выполнен анализ причин низ­кой наработки на отказ с использованием большого массива информации, обширной базы данных по работе УШГН. На месторождении применяется однотипное насосное оборудо­вание с изменением только диаметра плунжера в зависти от дебита. По итогам проведенного анализа определен учас­ток месторождения, где необходимо вносить существенные изменения в параметрах насоса из-за повышенной вязкос­ти нефти. В мировой практике в таких условиях используют УШГН с большей длинной хода сокращая количество хо­дов, увеличивая наработку на отказ. Опыт работы на анало­гичных месторождениях в других регионах мира указывает на необходимость использования машинного обучения для улучшения показателей насоса.</p></abstract><trans-abstract xml:lang="en"><p>Sucker-rod pumping unit in operation after huff and puff cyclic steam injection operates in a wide range of rheological properties of fluids and medium temperatures. During the initial stage after steam injection, hot liquid fluids are extracted with a temper­ature of about 200°C and a viscosity of several tens of cP. Dur­ing this period, all injected water is also pumped out of the res­ervoir, which entered the reservoir in the form of steam during steam injection phase. After several months of operation, after the bottom-hole zone cools down, the viscosity of the oil increas­es to several hundred cP. The influence of stable emulsions on the properties of fluids also increases. These changes lead to in­creased loads and torque on pumping equipment during opera­tion, which leads to premature failures. The challenge to secure long-term operations with a high mean time between failures of pumping units is critical and demanding. The analysis of the main causes and trends of low mean time between failure using a large array of information and data was performed. Certain big data analysis approaches have been developed and presented and used to formulated qualitative and quantitative conclusions and recommendations. The field uses the same type of pump­ing equipment with only a change in the diameter of the plunger depending on the flow rate. Based on the results of the analysis, the area of the field was identified where it is necessary to make significant changes in the pump parameters due to the increased viscosity of the oil. In such conditions according to world prac­tice longer stroke sucker-rod pumping unit is used reducing the number of strokes, increasing mean time between failure. Expe­rience in similar fields in other regions of the world also indicates the need to use machine learning to improve pump performance. </p></trans-abstract><kwd-group xml:lang="ru"><kwd>установка штангового глубинного насоса</kwd><kwd>пароциклические обработки</kwd><kwd>высоковязкие нефти</kwd><kwd>пермо-карбоновая залежь</kwd><kwd>наработка на отказ</kwd><kwd>большие данные</kwd></kwd-group><kwd-group xml:lang="en"><kwd>sucker-rod pumping unit</kwd><kwd>huff and puff cyclic steam injection</kwd><kwd>high-viscosity oils</kwd><kwd>permo-carbon deposit</kwd><kwd>mean time between failures</kwd><kwd>big data</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Гутман И. С., Руднев С. А., Саакян М. И., Даниленко А. Н., Урсегов С. О., Прокушева С. А. Зоны развития коллекторов пермо-карбоновой залежи высоковязкой нефти Усинского месторождения // Недропользование XXI в. 2012. № 4. С. 28–35.</mixed-citation><mixed-citation xml:lang="en">Gutman IS, Rudnev SA, Saakyan MI, Danilenko AN, Ursegov SO, Prokusheva SA. Development zones of Permian-Carboniferous reservoirs of high-viscosity oil of the Usinskoye field. Nedropolzovanie XXIv = Subsurface use of the XXI century. 2012;(4):28-35. (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Пастухов И. А. Ретроспектива развития разработки залежи сверхвязкой нефти Усинского месторождения // Проблемы геологии, разработки и эксплуатации месторождений, транспорта и переработки трудноизвлекаемых тяжёлых нефтей: Материалы всероссийской научно-технической конференции (с международным участием). Ухта, 2022. С. 87–91.</mixed-citation><mixed-citation xml:lang="en">Pastuhov IA. Retrospective of the development of the extraviscous oil deposit of the Usinskoye field. In Problems of geology, development and exploitation of deposits, transportation and processing of hard-to-recover heavy oils: Proceedings of the All-Russian scientific and technical conference (with international participation). Uhta; 2022;87-91. (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Тараскин Е. Н., Захарян А. З., Урсегов С. О. Адаптивное прогнозирование эффективности проведения геологотехнических мероприятий в скважинах пермо-карбоновой залежи Усинского месторождения // Нефтяное хозяйство. 2017. № 07. С. 20–25. https://doi.org/10.24887/0028-2448-2017-7-20-25</mixed-citation><mixed-citation xml:lang="en">Taraskin EN, Zaharyan AZ, Ursegov SO. Adaptive forecasting of well work-over techniques on the example of the PermianCarboniferous reservoir of the Usinskoye field. Neftyanoe khozyaystvo = Oil Industry. 2017;(07):20-25. (In Russ.). https://doi.org/10.24887/0028-2448-2017-7-20-25</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Шмидтберг А. В. Опыт разработки пермо-карбоновой залежи сверхвязкой нефти Усинского месторождения // Сборник статей Международной научно-практической конференции. Уфа: ООО «Аэтерна», 2022. C. 135–137.</mixed-citation><mixed-citation xml:lang="en">Shmidtberg AV. A case of development of the Permian-Carboniferous deposit of super-viscous oil of the Usinskoye field. In collection of articles from the International Scientific and Practical Conference. Ufa: «Aeterna» (Ufa). 2022;135-137. (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Кувшинов И. В., Алтунина Л. К., Кувшинов В. А. Комбинированная обработка скважин химическими композициями различного назначения в сочетании с термическим воздействием // Журнал Сибирского федерального университета. Химия. 2019. № 4. C. 473–482.</mixed-citation><mixed-citation xml:lang="en">Kuvshinov IV, Altunina LK, Kuvshinov VA. Combined Well Treatment with Various Chemical Compositions and Thermal Methods. Journal of Siberian Federal University. Chemistry. 2019;(4):473-482. (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Алтунина Л. К., Кувшинов В. А., Кувшинов И. В., Стасьева Л. А., Чертенков М. В., Шкрабюк Л. С., Андреев Д. В. Физико-химические и комплексные технологии увеличения нефтеотдачи пермо-карбоновой залежи высоковязкой нефти Усинского месторождения // Нефтяное хозяйство. 2017. № 7. C. 26–29. https://doi.org/10.24887/0028-2448-2017-7-26-29</mixed-citation><mixed-citation xml:lang="en">Altunina LK, Kuvshinov VA, Kuvshinov IV, Staseva LA, Chertenkov MV, Shkrabyuk LS, Andreev DV. Physical-chemical and complex EOR/IOR technologies for the PermianCarboniferous deposit of heavy oil of the Usinskoye oil field. Neftyanoe khozyaystvo = Oil Industry. 2017;(7):26-29 (In Russ.). https://doi.org/10.24887/0028-2448-2017-7-26-29</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Kalinin S.A., Morozyuk O.A., Kosterin K.S. Experimental Study of Heavy Oil Displacement by Carbon Dioxide on Carbonated Cores // Russian Oil and Gas Technical Conference SPE Oktyabr 2020. SPE-201821-MS. https://doi.org/10.2118/201821-MS</mixed-citation><mixed-citation xml:lang="en">Kalinin SA, Morozyuk OA, Kosterin KS. Experimental Study of Heavy Oil Displacement by Carbon Dioxide on Carbonated Cores. In Russian Oil and Gas Technical Conference SPE Oktyabr 2020. SPE-201821-MS. (In Russ.). https://doi.org/10.2118/201821-MS</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Алтунина Л. К., Кувшинов В. А., Кувшинов И. В., Стасьева Л. А., Чертенков М. В., Андреев Д. В., Карманов А. Ю. Увеличение нефтеотдачи пермо-карбоновой залежи высоковязкой нефти Усинского месторождения физико-химическими и комплексными технологиями (обзор) // Журнал Сибирского федерального университета. Химия. 2018. №4. C. 462–476.</mixed-citation><mixed-citation xml:lang="en">Altunina LK, Kuvshinov VA, Kuvshinov IV, Staseva LA, Chertenkov MV, Andreev DV, Karmanov AYu. Increased oil recovery from the Permian-Carboniferous high-viscosity oil deposit of the Usinskoye field using physical-chemical and complex technologies (review). Journal of Siberian Federal University. Chemistry. 2018;(4):462-476. (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Петров А. А. Анализ существующих приводов штангового глубинного насоса // Вестник магистратуры. 2018. № 4–5 (80). С. 45–48.</mixed-citation><mixed-citation xml:lang="en">Petrov AA. Analysis of existing drives of a sucker-rod deepwell pump. Vestnik magistratury = Bulletin of magistracy. 2018;5-4(80):45-48 (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Worth D., Al-Safran E., Choudhuri A., Al-Jasmi A. Assessment of artificial lift methods for a heavy oil field in Kuwait // Journal of Petroleum Science and Engineering. 2019. Vol. 180. P. 835–843. SPE-172883-MS. https://doi.org/10.1016/j.petrol.2019.06.012</mixed-citation><mixed-citation xml:lang="en">Worth D, Al-Safran E, Choudhuri A, Al-Jasmi A. Assessment of artificial lift methods for a heavy oil field in Kuwait. Journal of Petroleum Science and Engineering. 2019;180:835-843. SPE-172883-MS. https://doi.org/10.1016/j.petrol.2019.06.012</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Kennedy D. M., Ghareed M. M. Performance Evaluations of the Different Sucker Rod Artificial Lift Systems // SPE Symposium: Production Enhancement and Cost Optimisation held in Kuala Lumpur, Malaysia, 7-8 November 2017. SPE-189231-MS. https://doi.org/10.2118/189231-MS</mixed-citation><mixed-citation xml:lang="en">Kennedy DM, Ghareed MM. Performance Evaluations of the Different Sucker Rod Artificial Lift Systems. In SPE Symposium: Production Enhancement and Cost Optimisation held in Kuala Lumpur, Malaysia, 7-8 November 2017. SPE-189231-MS. https://doi.org/10.2118/189231-MS</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Tian H., Deng S., Wang C., Ni X., Wang H, Liu Y, Ma M, Wei Y, Li X. A novel method for prediction of paraffin deposit in sucker rod pumping system based on CNN indicator diagram feature deep learning // Journal of Petroleum Science and Engineering. 2021. Vol. 206. 108986. https://doi.org/10.1016/j.petrol.2021.108986</mixed-citation><mixed-citation xml:lang="en">Tian H, Deng S, Wang C, Ni X, Wang H, Liu Y, Ma M, Wei Y, Li X. A novel method for prediction of paraffin deposit in sucker rod pumping system based on CNN indicator diagram feature deep learning. Journal of Petroleum Science and Engineering. 2021;206:108986. https://doi.org/10.1016/j.petrol.2021.108986</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Lv X-X., Wang H-X., Xin Z., Liu Y-X, Zhao P-C. Adaptive fault diagnosis of sucker rod pump systems based on optimal perceptron and simulation data // Petroleum Science. 2022. Vol. 19. Issue 2. P. 743–760. https://doi.org/10.1016/j.petsci.2021.09.012</mixed-citation><mixed-citation xml:lang="en">Lv X-X, Wang H-X, Xin Z, Liu Y-X, Zhao P-C. Adaptive fault diagnosis of sucker rod pump systems based on optimal perceptron and simulation data. Petroleum Science. 2022;19:743-760. https://doi.org/10.1016/j.petsci.2021.09.012</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Wang X., He Y., Li F., Dou X., Wang Z., Xu H., Fu L. A Working Condition Diagnosis Model of Sucker Rod Pumping Wells Based on Big Data Deep Learning // Presented at the International Petroleum Technology Conference, Beijing, China, March 2019. IPTC-19242-MS. https://doi.org/10.2523/IPTC19242-MS</mixed-citation><mixed-citation xml:lang="en">Wang X, He Y, Li F, Dou X, Wang Z, Xu H, Fu L. A Working Condition Diagnosis Model of Sucker Rod Pumping Wells Based on Big Data Deep Learning. Presented at the International Petroleum Technology Conference, Beijing, China, March 2019. IPTC-19242-MS. https://doi.org/10.2523/IPTC19242-MS</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Peng Y. Artificial Intelligence Applied in Sucker Rod Pumping Wells: Intelligent Dynamometer Card Generation, Diagnosis, and Failure Detection Using Deep Neural Networks // SPE Annual Technical Conference and Exhibition held in Calgary, Alberta, Canada, 30 Sep - 2 October 2019. SPE-196159-MS. https://doi.org/10.2118/196159-MS</mixed-citation><mixed-citation xml:lang="en">Peng Y. Artificial Intelligence Applied in Sucker Rod Pumping Wells: Intelligent Dynamometer Card Generation, Diagnosis, and Failure Detection Using Deep Neural Networks. In SPE Annual Technical Conference and Exhibition held in Calgary, Alberta, Canada, 30 Sep - 2 October 2019. SPE-196159-MS. https://doi.org/10.2118/196159-MS</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Quttainah R., Mehmood F., Mesbah H., Dange A., Sierra T. Sucker Rod Pump Design Modification to Avoid Pump Floating Phenomena in Heavy-Oil, Low API Wells to Enhance the Production Rate // SPE Kuwait Oil &amp; Gas Show and Conference held in Mishref, Kuwait, 11-14 October 2015. SPE175369-MS. https://doi.org/10.2118/175369-MS</mixed-citation><mixed-citation xml:lang="en">Quttainah R, Mehmood F, Mesbah H, Dange A, Sierra T. Sucker Rod Pump Design Modification to Avoid Pump Floating Phenomena in Heavy-Oil, Low API Wells to Enhance the Production Rate. In SPE Kuwait Oil &amp; Gas Show and Conference held in Mishref, Kuwait, 11-14 October 2015. SPE175369-MS. https://doi.org/10.2118/175369-MS</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">AbdulHadi F., Al-Ajeel F., Sierra T, Mohamed A., Heshmat K. Improving Sucker Rod Pump Performance and Overall Production After Applying Continues Steam Injection in Heavy Oil Project-North Kuwait // SPE International Heavy Oil Conference and Exhibition held in Kuwait City, Kuwait, 10-12 December 2018. SPE-193800-MS. https://doi.org/10.2118/193800-MS</mixed-citation><mixed-citation xml:lang="en">AbdulHadi F, Al-Ajeel F, Sierra T, Mohamed A, Heshmat K. Improving Sucker Rod Pump Performance and Overall Production After Applying Continues Steam Injection in Heavy Oil Project-North Kuwait. In SPE International Heavy Oil Conference and Exhibition held in Kuwait City, Kuwait, 10-12 December 2018. SPE-193800-MS. https://doi.org/10.2118/193800-MS</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Kennedy D. M., Ghareeb M. Ultra-Long Stroke and Intelligent Rod Pumping System for Producing Difficult Wells and/or Fluids // SPE/IATMI Asia Pacific Oil &amp; Gas Conference and Exhibition held in Jakarta, Indonesia, 17-19 October 2017. SPE187028-MS. https://doi.org/10.2118/187028-MS</mixed-citation><mixed-citation xml:lang="en">Kennedy DM, Ghareeb M. Ultra-Long Stroke and Intelligent Rod Pumping System for Producing Difficult Wells and/or Fluids. In SPE/IATMI Asia Pacific Oil &amp; Gas Conference and Exhibition held in Jakarta, Indonesia, 17-19 October 2017. SPE187028-MS. https://doi.org/10.2118/187028-MS</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Spivey S., O'How D. Long-Stroke Rod Pumping Systems LSPS in High-Volume Unconventional Applications // SPE Middle East Artificial Lift Conference and Exhibition held in Manama, Bahrain, 28-29 November 2018. SPE-192497-MS. https://doi.org/10.2118/192497-MS</mixed-citation><mixed-citation xml:lang="en">Spivey S, O'How D. Long-Stroke Rod Pumping Systems LSPS in High-Volume Unconventional Applications. In SPE Middle East Artificial Lift Conference and Exhibition held in Manama, Bahrain, 28-29 November 2018.  SPE-192497-MS. https://doi.org/10.2118/192497-MS</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Landaeta G. S., Valencia L. E. Extra-Heavy Oil Viscosity Estimation Using PVT and Geochemical Analyses: Applications at Huyapari Field, Orinoco Heavy Oil Belt, Venezuela // SPE Latin America and Caribbean Petroleum Engineering Conference held in Buenos Aires, Argentina, 18-19 May 2017. https://doi.org/10.2118/185495-MS</mixed-citation><mixed-citation xml:lang="en">Landaeta GS, Valencia LE. Extra-Heavy Oil Viscosity Estimation Using PVT and Geochemical Analyses: Applications at Huyapari Field, Orinoco Heavy Oil Belt, Venezuela. In SPE Latin America and Caribbean Petroleum Engineering Conference held in Buenos Aires, Argentina, 18-19 May 2017. https://doi.org/10.2118/185495-MS</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
