@misc{10481/109559,
year = {2025},
month = {1},
url = {https://hdl.handle.net/10481/109559},
abstract = {Seismic surveys are crucial for investigating subsurface geological formations and require significant logistical
and economic resources. This study reuses legacy seismic surveys from the Granada Basin conducted by the
Chevron Oil Company in the mid-1980s to gain new geological insights. In a previous paper, data from two deep
boreholes and 30 legacy seismic sections were recovered and reprocessed using Machine Learning; this work
interprets the results to generate three complete pseudo-three-dimensional models of the entire basin: a P-wave
velocity model, a sedimentary sequences model, and a fault systems model. The sedimentary sequence model
identified five distinct depocenters with varying sediment compositions throughout the basin. The study found a
progressive decline in sediment accumulation rates over time, from 0.18 mm/yr in the Tortonian to 0.10 mm/yr
in the Pliocene-Quaternary. This trend reflects changes in the sedimentary system, moving from transitional
platforms to regression and transgression episodes and finally to a stable continental state. The differences in
sediment accumulation rates suggest that greater disparities are linked to intense tectonic activity, while smaller
differences indicate reduced tectonic activity and a consistent sedimentation rate since the Pliocene. Additionally,
17 new faults were detected. Using the fault model and seismic activity data from 1984 to 2023 provided by
the Andalusian Institute of Geophysics (IAG), a hazard analysis was performed based on the maximum magnitude
supported by each fault, demonstrating the value of reusing vintage seismic data to update geological
models and improve our understanding of subsurface formations and seismic hazards.},
organization = {Spanish Ministry of Science and Innovation, Spain 150188NB-I00, PID2019-109608GB-100, PID2023-, PTA2020-018650-I},
organization = {Consejería de Universidad, Investigación e Innovación/ERDF Andalusia Program 2021-2027 (C.EXP.178.UGR23)},
organization = {University of Granada PPJIA2023.002},
publisher = {Elsevier},
title = {New geological insights from legacy seismic sections: Decoding the Granada Basin (Spain)},
doi = {10.1016/j.marpetgeo.2025.107294},
author = {Araque-Pérez, Carlos José and Mancilla Pérez, Flor de Lis and López Comino, José Ángel and Stich, Daniel and Morales Soto, José and Teixidó Ullod, Teresa},
}