Selection of the Optimal Regular Development Scheme under Conditions of Considerable Geological Uncertainties; Через интеграцию геонаук - к постижению гармонии недр

Selection of the Optimal Regular Development Scheme under Conditions of Considerable Geological Uncertainties; Через интеграцию геонаук - к постижению гармонии недр

Détails bibliographiques
Parent link:Через интеграцию геонаук - к постижению гармонии недр.— 2016.— [5 c.]
Auteur principal: Nazmutdinov A. F. Aydar Floridovich
Collectivité auteur: Национальный исследовательский Томский политехнический университет (ТПУ) Институт природных ресурсов (ИПР) Центр подготовки и переподготовки специалистов нефтегазового дела (ЦППС НД) Лаборатория проектирования строительства скважин (ЛПСС)
Autres auteurs: Roshchektaev A. P., Sibilev V. N. Vyacheslav Nikolaevich
Résumé:Title screen
The objective of this project is to choose optimal development scheme of block Z Field Y that is stable for uncertainty in geology. “Optimal” here means “optimal in the mean” that brings the highest EMV. Absolute permeability field and relative permeabilities curves were chosen as uncertainties to investigate. Three relative permeability curves and three fields of absolute permeability were chosen, i.e. totally 9 geologies were involved in selection of the optimal development scheme process. Many calculations of various development schemes for each geologies (absolute and relative permeabilities) were made. Optimal completion type and well pattern were determined. Then there was an attempt to create NPV proxy model by means of spline approximation and artificial neural network. Both methods, based on 27 points for training showed poor results, that is number of training data points (simulation runs) should be increased to obtain satisfactory results. Obtained proxy models helps to assess influence of the Corey relative permeabilities’ parameters to production and therefore to the NPV.
Режим доступа: по договору с организацией-держателем ресурса
Langue:russe
Publié: 2016
Collection:Risk and Uncertainty Analysis
Sujets:
электронный ресурс
труды учёных ТПУ
Accès en ligne:http://dx.doi.org/10.3997/2214-4609.201600129
Format: Électronique Chapitre de livre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650136

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