Adaptive interpretation of gas well deliverability tests

Dades bibliogràfiques
Parent link:IOP Conference Series: Earth and Environmental Science
Vol. 43 : Problems of Geology and Subsurface Development.— 2016.— [012015, 6 p.]
Autor principal: Sergeev V. L. Viktor Leonidovich
Autor corporatiu: Национальный исследовательский Томский политехнический университет (ТПУ) Институт природных ресурсов (ИПР) Кафедра геологии и разведки полезных ископаемых (ГРПИ), Национальный исследовательский Томский политехнический университет (ТПУ) Институт природных ресурсов (ИПР) Кафедра иностранных языков (ИЯПР)
Altres autors: Nguyen Thac Hoai Phuong, Strelnikova A. B. Anna Borisovna
Sumari:Title screen
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.
Idioma:anglès
Publicat: 2016
Col·lecció:Petroleum Geology: Current Exploration and Extraction Methods
Matèries:
Accés en línia:http://dx.doi.org/10.1088/1755-1315/43/1/012015
http://earchive.tpu.ru/handle/11683/35124
Format: Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650811

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