Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс: http://earchive.tpu.ru/handle/11683/38185
Название: Adaptive interpretation of gas well deliverability tests with generating data of the IPR curve
Авторы: Sergeev, Viktor Leonidovich
Nguyen Phuong, T. H.
Krainov, A. I.
Ключевые слова: интерпретация; тесты; газовые скважины; выбросы в атмосферу; газы; адаптивная интерпретация; пластовое давление; испытания; расход
Дата публикации: 2017
Издатель: IOP Publishing
Библиографическое описание: Sergeev V. L. Adaptive interpretation of gas well deliverability tests with generating data of the IPR curve / V. L. Sergeev, T. H. Nguyen Phuong, A. I. Krainov // Journal of Physics: Conference Series. — 2017. — Vol. 803 : Information Technologies in Business and Industry (ITBI2016) : International Conference, 21–26 September 2016, Tomsk, Russian Federation : [proceedings]. — [012136, 6 p.].
Аннотация: The paper considers topical issues of improving accuracy of estimated parameters given by data obtained from gas well deliverability tests, decreasing test time, and reducing gas emissions into the atmosphere. The aim of the research is to develop the method of adaptive interpretation of gas well deliverability tests with a resulting IPR curve and using a technique of generating data, which allows taking into account additional a priori information, improving accuracy of determining formation pressure and flow coefficients, reducing test time. The present research is based on the previous theoretical and practical findings in the spheres of gas well deliverability tests, systems analysis, system identification, function optimization and linear algebra. To test the method, the authors used the field data of deliverability tests of two wells, run in the Urengoy gas and condensate field, Tyumen Oblast. The authors suggest the method of adaptive interpretation of gas well deliverability tests with the resulting IPR curve and the possibility of generating data of bottomhole pressure and a flow rate at different test stages. The suggested method allows defining the estimates of the formation pressure and flow coefficients, optimal in terms of preassigned measures of quality, and setting the adequate number of test stages in the course of well testing. The case study of IPR curve data processing has indicated that adaptive interpretation provides more accurate estimates on the formation pressure and flow coefficients, as well as reduces the number of test stages.
URI: http://earchive.tpu.ru/handle/11683/38185
Располагается в коллекциях:Материалы конференций

Файлы этого ресурса:
Файл РазмерФормат 
dx.doi.org-10.1088-1742-6596-803-1-012136.pdf597,76 kBAdobe PDFПросмотреть/Открыть


Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.