Abstract
Volcanic rocks form major components in many prospective sedimentary basins around the world and are increasingly being found in association with significant hydrocarbon reserves. Application of seismic forward modelling to volcano-sedimentary sequences has been crucial to cover the gaps between outcrop observations and seismic data. Within this study we combine 3D virtual outcrop modelling from the North Atlantic Igneous Province with laboratory petrophysical measurements from Paraná-Etendeka Igneous Province field outcrop analogues to develop synthetic seismic forward models for four different basalt-sediment transition scenarios. A base-model comprising a lava flow package overlying homogenous sandstone is presented with subsequent models developed to incorporate known field based variations including layered sedimentary rocks, intrusions and invasive lava flows with associated peperite. The models were run using source wavelets with different frequency spectrums in order to assess variations in seismic reflection character and detectability of the volcanic features along with the basalt-sediment transition. The results of this study clearly demonstrate how geological variability associated with the basalt-sediment transition can influence seismic imaging and complicate interpretation. In particular, features such as invasive lava flows may be challenging to differentiate from sill intrusions in seismic data, and therefore their potentially very different impacts on reservoir properties and connectivity must be appraised carefully. This study demonstrates the power of integrating outcrop analogue studies with seismic forward modelling to improve seismic interpretation in prospective mixed volcano-sedimentary systems.
Original language | English |
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Article number | 105113 |
Number of pages | 18 |
Journal | Journal of South American Earth Sciences |
Volume | 148 |
Early online date | 26 Sept 2024 |
DOIs | |
Publication status | Published - 15 Nov 2024 |
Bibliographical note
Natália Famelli specially acknowledges to A. Bulcão for the support with the seismic forward modelling. G. Marins, L. Bevilaqua, G. Bertolini; J. Machado, R. Rizzo are thanked for their support during fieldwork, discussions and/or software support. We thank the grinding plant of the 2° BFv, Arpasa, Ecobrix, Dois Irmãos, BT Construções, São Lucas quarries and the Ferrovia Centro-Atlântica (FCA – VLI Logística) for the permission to access the outcrop areas.Data Availability Statement
All data are shared at Attach File step.Funding
This work was supported by Petrobras (CENPES R&D Projects PT-166.01.11923 and PT-166.01.13484), CNPq (402400/2016-0), and FAPERGS (18/2551-0001755-3). The Federal University of Rio Grande do Sul and University of Aberdeen are acknowledged for additional support. Dougal Jerram is partly funded by the Research Council of Norway Centre of Excellence funding scheme (project 223272).
Funders | Funder number |
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Petróleo Brasileiro S/A | PT-166.01.11923, PT-166.01.13484 |
Conselho Nacional de Desenvolvimento Científico e Tecnológico | 402400/2016-0 |
Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul | 18/2551-0001755-3 |
Norges forskningsråd | 223272 |