Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Massimo Fervari"'
Autor:
Christina De Draganich, Catia Rizzetto, Marco Marchesini, Jacopo Panizzardi, Salvatore Salerno, Bruce Webb, Massimo Fervari, Nazzarena Colombi, Mirko Calderoni
Publikováno v:
The Leading Edge. 39:110-118
Development and management of deepwater oil fields requires material investment and must be supported by application of quality technological solutions and tools. To maximize the advantages that can derive from these, it is essential to integrate tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f9f3e51ca3ea5b41ab81b34971e10ef
https://doi.org/10.1190/tle39020110.1
https://doi.org/10.1190/tle39020110.1
Publikováno v:
SEG Technical Program Expanded Abstracts 2020.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::872beeff57ed419015a34394c373924c
https://doi.org/10.1190/segam2020-3425443.1
https://doi.org/10.1190/segam2020-3425443.1
Autor:
Marco Pontiggia, Riccardo Vannuccini, Fulvia Turri, Davide Stocco, Massimo Fervari, Alessandro Avanzini, Cristiano Tarchiani, Andrea Villan
Publikováno v:
Day 2 Tue, January 14, 2020.
A major challenge in reservoir characterization is the integration of information at different scale from different sources. Coupling seismic data and depositional model is a way forward to capture uncertainty of complex geological heterogeneities. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fee849c5ed974dc001cc1252c0289f30
https://doi.org/10.2523/iptc-19989-ms
https://doi.org/10.2523/iptc-19989-ms
Publikováno v:
Day 4 Thu, June 14, 2018.
This paper describes a new integrated workflow that successfully bridges the gap between different measurement scales to characterise a clastic reservoir. This workflow combines thin sections, well logs and elastic curves (Vp, Vs and Rho or any combi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a34d95aa8a23df372ef10e51e597380
https://doi.org/10.2118/190771-ms
https://doi.org/10.2118/190771-ms
Publikováno v:
Day 2 Tue, November 08, 2016.
The objective of the work was to characterize the pore system of the Mishrif carbonates of the Zubair Field (onshore Iraq), using the Simultaneous Seismic Inversion results, geostatistical information (extracted from wells and seismic data) and rock
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a39c044057532dbcfe7e2a7b7282ae8
https://doi.org/10.2118/183289-ms
https://doi.org/10.2118/183289-ms
Autor:
E. Sanguinetti, Antonio Corrao, J. M. Rodrigues, S. Miraglia, Massimo Fervari, C. Chinigo, F. Luoni, A. Amato del Monte
Publikováno v:
Third EAGE Workshop on Iraq.
This paper provides an overview on the geophysical experience gained in Southern Iraq from seismic acquisition to seismic reservoir characterization to support the development of Mishrif reservoir.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d150af2935c4e7a689d9edd252c97a4
https://doi.org/10.3997/2214-4609.201414355
https://doi.org/10.3997/2214-4609.201414355
Autor:
Ernesto Caselgrandi, Giorgio Rocco Cavanna, Massimo Fervari, Mario Bello, Johnny Aruan, Christopher James Golding, Elisa Corti, Alessandro Amato del Monte
Publikováno v:
International Petroleum Technology Conference.
Abstract In exploration plays driven by DHI, seismic thin beds are common targets. When resolution capabilities are comparable to isochrones of remarkable elastic contrasts, reflections tend to fall around tuning thickness, where interference phenome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a6d562a66a9c2e203d661a8afcc6bc4
https://doi.org/10.2523/14570-ms
https://doi.org/10.2523/14570-ms
Publikováno v:
SEG Technical Program Expanded Abstracts 2009.
Summary A reservoir-oriented predictive petro-acoustic model was created and calibrated using the productive reservoirs in field wells. The predictive petro-acoustic model was then applied to an in-field prospect to predict the pay sand thickness. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05414127792ad20c405026b63235a85f
https://doi.org/10.1190/1.3255820
https://doi.org/10.1190/1.3255820
Publikováno v:
Scopus-Elsevier
This paper illustrates a workflow that uses rock physics in a probabilistic framework to drive a geologically constrained classification of a seismic dataset. Rock physics is used to diagnose the reservoir sands and then build an interpretational sch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e79c488a9712f921fe633b411dd517aa
http://www.scopus.com/inward/record.url?eid=2-s2.0-85055539749&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85055539749&partnerID=MN8TOARS
