Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Gilson M. Silva Neto"'
Autor:
Denis José Schiozer, Gilson M. Silva Neto, Geir Evensen, Alessandra Davolio, Ricardo Vasconcellos Soares
Publikováno v:
SPE Journal. 26:1011-1031
Summary Time-lapse-seismic-data assimilation has been drawing the reservoir-engineering community's attention over the past few years. One of the advantages of including this kind of data to improve the reservoir-flow models is that it provides compl
Publikováno v:
Journal of Petroleum Science and Engineering. 210:109970
Publikováno v:
Journal of Petroleum Science and Engineering. 207:109127
Time-lapse seismic data is becoming a common information source in reservoir model calibration workflows to improve production forecasts. The standard process compares a forward model's results with the observed data to update the model's parameters
Publikováno v:
Journal of Petroleum Science and Engineering. 194:107446
There is a growing interest in applying quantitative methods to adjust reservoir flow models using time-lapse seismic data. The most common approach relies on a petroelastic model to convert the flow simulator outputs into acoustic impedance. The com
Publikováno v:
Journal of Petroleum Science and Engineering. 194:107457
4D seismic data provide valuable information for petroleum engineers to update simulation models using different data assimilation algorithms. To assimilate 4D seismic data, the conventional approach is to use a petro-elastic model (PEM) to bring sim
Publikováno v:
Journal of Petroleum Science and Engineering. 189:106967
Decisions in petroleum reservoir management usually involve high level of uncertainties. Therefore, information of different types is used to calibrate reservoir models for the production forecasts and decision analysis. One source of information is
Publikováno v:
Day 2 Thu, May 22, 2014.
The objective of this work is to present a new IPR model for transient well simulations that gives precise results without the high computational costs of the reservoir finite difference simulation. The limitations of using conventional IPR models fo