Using seismic images for scaling of statistical model of discrete fracture networks


тезисы
Авторы: Kolyukhin D.   (ИНГГ СО РАН)   Protasov M.   (ИНГГ СО РАН)  
дата публикации: 2019
реферат:
The presented paper addresses the modeling and seismic imaging of fractured reservoirs. A three-dimensional statistical model of a discrete fracture network is developed. A flexible and efficient method to generate the random realizations of the statistical model for an arbitrary computational grid is suggested. The problem of scaling the developed fracture model using the analysis of seismic images for different grid steps is studied. Particular attention is paid to the models with a multifractal distribution of fractures.
первоисточник: 4th EAGE Conference on Petroleum Geostatistics (Florence, Italy, 2 - 6 September, 2019)
том:
страницы: TuP08
ISBN: 978-946282296-2
ISSN:
внешние ссылки:
РИНЦ SPIN  
Scopus  

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