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Название: Adaptive interpretation of gas well deliverability tests
Авторы: Sergeev, Viktor Leonidovich
Nguyen Thac Hoai Phuong
Strelnikova, Anna Borisovna
Ключевые слова: адаптивная интерпретация; тесты; газовые скважины; тестирование; доставка; пластовое давление
Дата публикации: 2016
Издатель: IOP Publishing
Библиографическое описание: Sergeev V. L. Adaptive interpretation of gas well deliverability tests / V. L. Sergeev, Nguyen Thac Hoai Phuong, A. B. Strelnikova // IOP Conference Series: Earth and Environmental Science. — 2016. — Vol. 43 : Problems of Geology and Subsurface Development : XX International Scientific Symposium of Students, Postgraduates and Young Scientists, 4–8 April 2016, Tomsk, Russia. — [012015, 6 p.].
Аннотация: The paper considers topical issues of improving accuracy of data obtained from gas well deliverability tests, decreasing the number of test stages and well test time, and reducing gas emissions. The aim of the research is to develop the method of adaptive interpretation of gas well deliverability tests with resulting IPR curve conducted in gas wells with steady-state filtration, which allows obtaining and taking into account additional a priori data on the formation pressure and flow coefficients, setting the number of test stages adequate for efficient well testing and 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 run in the Urengoy gas and condensate field, Tyumen Oblast. The authors suggest the method of adaptive interpretation of gas well deliverability tests with resulting IPR curve, which is based on the law for gas filtration with variables dependent on the number of test stage and account of additional a priori data. 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/11683/35124
Располагается в коллекциях:Материалы конференций

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