Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Synthetic seismic forward modeling of a high-frequency depositional sequence: The example of the Tiber depositional sequence (Central Italy)

Articolo
Data di Pubblicazione:
2023
Abstract:
This research presents the results of a synthetic seismic forward modeling carried out by generating stacked sections of the stratigraphic-depositional architecture in the high-frequency Tiber Depositional Sequence (TDS) (Central Italy). The stacked sections were created using the seismo-acoustic approach provided in the geophysical codes developed by the CREWES consortium and modeled in Matlab. The models reproduce the seismic response of a sedimentary succession showing the upward transition from a wave-dominated estuary to a wave-dominated delta. The synthetic seismic sections reveal the subsurface structure and sedimentary architecture of the TDS, demonstrating the complexity of the sedimentary environments as well as the variation in lithology and petrophysical characteristics across the sections. The results demonstrate the ability of the seismo-acoustic approach to accurately model the seismic response of sedimentary facies in fluvial, coastal, and shelf environments, providing valuable information for exploring potential reservoir systems, with the TDS serving as an analog. In addition, the models identify several seismic facies and reflectors that can be interpreted as boundaries and surfaces of sequence-stratigraphic significance.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Velocity model Synthetic seismic modeling High-frequency depositional sequence Tiber delta Tyrrhenian margin
Elenco autori:
Milli, Salvatore; Tentori, Daniel
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/451361
Pubblicato in:
MARINE AND PETROLEUM GEOLOGY
Journal
  • Dati Generali

Dati Generali

URL

https://www.sciencedirect.com/science/article/pii/S0264817223005305
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)