ARTICLES
New Heteroceratidae (Ammonoidea) from the late Barremian deepening succession of Marseille (Bouches-du-Rhône, France)
2016 | Acta Geologica Polonica
Camille FRAU, Gérard DELANOY, Jean-Pierre MASSE, Cyprien LANTEAUME & Anthony TENDIL
Investigation of the late Barremian deepening succession of the Provence platform, cropping out south of Marseille
(Bouches-du-Rhône, France), has yielded a new ammonite fauna belonging to the Martelites sarasini Subzone (Martelites sarasini Zone). The fauna is dominated by representatives of the Heteroceratidae Spath, characterized by different patterns of coiling, high intraspecific variabilities and dwarfism. These heteroceratids are distinctive and utterly different from all previously known taxa, and this justifies the introduction of the new taxa Heteroceras denizoti sp. nov., Heteroceras veratiae sp. nov., Calanquites gen. nov., based on Imerites katsharavai Rouchadzé; Giovaraites gen. nov., based on Giovaraites massiliae gen. et sp. nov., Barguesiella gen. nov., based on Barguesiella goudesense gen. et sp. nov. and the closely allied Barguesiella mantei gen. et sp. nov. The occurrence of the latter species at the top of the Maiolica Formation in Italy questions its early Aptian age assumed in the literature. The newly described fauna could be considered as the first case of micromorphy in the Heteroceratidae. Its biostratigraphy, palaeoenvironmental and palaeobiogeographical significance are discussed.
CONFERENCES
2017 | EAGE | Paris
Inferring Stratigraphic Forward Models Quantitative Information to Asses Stratigraphic Well Correlation Uncertainty
Stratigraphic well correlations are nowadays performed deterministically and manually, based on the sequence stratigraphy concept. The major is the difficulty to fully identify the different factors that control the 3D strata architecture. From a single well dataset, the stratigraphic well correlation model construction could lead to a non unique answer.
Thanks to the development of Stratigraphic Forward Modeling (SFM) algorithms, one can now test the impact of the different controlling processes on resulting stratigraphic architecture. We here propose a semi-automatic methodology that builds stratigraphic correlation models by learning from the results of a SFM, with a stochastic approach.
We introduce two objective functions that can be used to compare a SFM with well data: the facies similarity and the thickness variation similarity. We also show how they can be used to assess the consistency of manual stratigraphic well correlation and how they can be minimised leading to the automatic construction of stratigraphic well correlation and stratigraphic grids.
By doing so, our methodology uses the SFM capacity to integrate several interdependent controlling factors to generate several stratigraphic well correlation models constrained to well data corresponding to a single well dataset and thus to the uncertainties on a well-to-well correlation.
2016 | RST | EARTH SCIENCE MEETING
Evolution stratigraphique et diagénétique de la plateforme Provençale Urgonienne
Étudiée depuis le milieu du 19° siècle, la plateforme carbonatée Urgonienne des Monts-de-Vaucluse est réputée comme analogue de réservoirs du Moyen-Orient. La diversité des faciès associée à l’histoire diagénétique (e. g. développement de microporosité) offre la possibilité de réaliser des comparaisons entre différents réservoirs de même type connu sur l’ensemble de la marge Téthysienne.
La progradation généralisée de la plateforme en direction du bassin Vocontien depuis le Valanginien jusqu’à l’Aptien inf. fut entrecoupée par plusieurs ruptures de la production carbonatée, à savoir des périodes d’approfondissement (drownings associés à des changements trophiques) et des intervalles où la plateforme fût portée à émersion. Ceux-ci se retrouvent aujourd’hui relativement bien enregistrés sur la plateforme et permettent de proposer un découpage séquentiel robuste....
Coupled Stratigraphic and Diagenetic Forward Modelling as Input to Seismic Simulation for a Better Understanding of Carbonate Reservoirs
Carbonate rocks are generally considered to be complex, heterogeneous, and as a result very difficult to predict in terms of reservoir property, architecture from seismic interpretation. The core of our proposed scientific method is to interlock sedimentology and stratigraphy together with geophysics in a forward modelling loop. In other words to pose and try to resolve the equation of the stratigraphic architecture, depositional facies, and diagenesis of carbonate plays versus the seismic response. Practically, this approach is meant to understand and explicit (i.e. forward model) the carbonate reservoirs in order to increase their interpretation and prediction robustness. This approach is multi-disciplinary and integrates measurements and knowledge of the carbonates at all scales, from grain to basin scale, from thin section to seismic data. The keystones of the method are : 1. the interlocking of the forward stratigraphic and diagenetic modeling with the seismic modeling. 2. the integration of the diagenetic overprint in the petro-elastic signature
2014 | GEO-Bahrain Conference
3D Stratigraphic Forward Modelling for the Prediction of Carbonate Platform Architectures: Evaluation of Stratigraphic Trap Potential in Middle East Mesozoic Carbonate Sequences
Jean BORGOMANO, Cyprien LANTEAUME, Olivier RIDET, Mathieu ROUSSEAU & Nadège VILASI-MARMIER
Stratigraphic forward modeling allows the realization at basin scale of 3D deterministic carbonate facies models by simulating in time and space sedimentologic-stratigraphic processes from initial conditions (amongst others: Bosence This computer stratigraphic simulation method (implemented with the IFPEN Dionisos software) requires input parameters characterizing the modeled basin and its evolution through time: initial 3D sea bottom topography (altimetry and bathymetry), initial sea level, 3D subsidence evolution, eustatic sea level history, carbonate production and erosion rates and water driven transport coefficients. An important aspect of this method is that the input parameters, and the subsequent models, are dependent upon local and global factors (climate, geodynamic, carbonate factories) obtained respectively from subsurface (seismic and wells) and outcrop data in the area of interest and from global knowledge. Modeled processes, such as carbonate production, can be calibrated by analogue, ancient or modern carbonate systems. Ideally, this stratigraphic forward modeling is part of an iterative workflow implying the comparison between real and synthetic seismic obtained from the stratigraphic model. In the context of subsurface carbonate prediction, this approach improves significantly the coherency between numerical models, subsurface data and geological concepts.