Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Mario Trani"'
Publikováno v:
Energies, Vol 16, Iss 24, p 7984 (2023)
The use of 4D seismic data in history matching has been a topic of great interest in the hydrocarbon industry as it can provide important information regarding changes in subsurfaces caused by fluid substitution and other factors where well data is n
Externí odkaz:
https://doaj.org/article/d1109516cdd34241a71680629284fddd
Publikováno v:
Day 2 Tue, May 07, 2019.
Total E&P has developed for its fields an integrated workflow to assess the 2G&R uncertainties which provides a Resource evaluation distribution through the integrated Geoscience platform. If the uncertainty study also considers the operational limit
Autor:
Mario Trani, Gavin H. Graham
Publikováno v:
Petroleum Geoscience. 23:210-222
Hydrocarbon reservoirs often contain thin and irregularly shaped low-permeability heterogeneities at the interface between sedimentary bodies that can act as barriers or baffles where they are aligned perpendicular to the flow. These heterogeneities
Publikováno v:
Day 4 Thu, March 09, 2017.
An ensemble-based 4D seismic history matching case is presented. Seismic data are re-parameterized as distance to 4D anomaly front and assimilated with production data. The field is a large turbiditic system, with initial fluid pressure close to the
Publikováno v:
Computational Geosciences, 2, 15, 359-378
Computational Geosciences, 15 (2), 2011
Computational Geosciences, 15 (2), 2011
While 3D seismic has been the basis for geological model building for a long time, time-lapse seismic has primarily been used in a qualitative manner to assist in monitoring reservoir behavior. With the growing acceptance of assisted history matching
Publikováno v:
SPE Journal, 1, 18, 159-171
Time-lapse seismic data provide information on the dynamics of multiphase reservoir fluid flow in places where no production data from wells are available. This information, in principle, could be used to estimate unknown reservoir properties. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7a6dae85ae0ef5eff722f1ae232a784
http://resolver.tudelft.nl/uuid:30b256e8-28e8-4469-a217-45af471d33ea
http://resolver.tudelft.nl/uuid:30b256e8-28e8-4469-a217-45af471d33ea
Publikováno v:
Geophysics, 2, 76, C1-C17
Geophysics, 76 (2), 2011
Geophysics, 76 (2), 2011
A reliable estimate of reservoir pressure and fluid saturation changes from time-lapse seismic data is difficult to obtain. Existing methods generally suffer from leakage between the estimated parameters. We propose a new method using different combi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e214cf3d892a4ad3f173e6b5aca76d65
http://resolver.tudelft.nl/uuid:cdda8971-99c1-4d76-b887-6b2b9ab5bdc2
http://resolver.tudelft.nl/uuid:cdda8971-99c1-4d76-b887-6b2b9ab5bdc2
Publikováno v:
71st European Association of Geoscientists and Engineers Conference and Exhibition 2009, 8 June 2009 through 11 June 2009, CY-Amsterdam, 3, 1767-1771
The Ensemble Kalman Filter is a powerful data assimilation algorithm which allows a sequential update of the reservoir states from measurement data. However, results performed on a synthetic 3D model, show that too frequent 4D seismic data may cause
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::589b94fc38b87d5de8683e90718a8664
http://resolver.tudelft.nl/uuid:cc8d1d38-8d40-4f5f-aeff-f6810c9d96d1
http://resolver.tudelft.nl/uuid:cc8d1d38-8d40-4f5f-aeff-f6810c9d96d1
Publikováno v:
SEG Technical Program Expanded Abstracts, 1, 28, 3835-3839
The Ensemble Kaiman Filter (EnKF) is considered a fast and efficient algorithm in the data assimilation process to estimate reservoir properties from measured data. 4D seismics is an important source of information for the reservoir monitoring and th
Publikováno v:
70th EAGE Conference and Exhibition incorporating SPE EUROPEC 2008.
An inversion scheme that solves for reservoir pressure and fluid saturation changes from time-lapse pre-stack seismic attributes and post-stack seismic timeshifts is presented. It makes use of three equations expressing the production induced changes