2014
DOI: 10.1016/j.marpetgeo.2013.10.014
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The application of high-resolution 3D seismic data to model the distribution of mechanical and hydrogeological properties of a potential host rock for the deep storage of radioactive waste in France

Abstract: In the context of deep geological disposal of high level radioactive wastes, the French National Modeling of mechanical parameters such as shear modulus, young modulus, bulk modulus indicates weak variability of these parameters which confirm the homogeneity of the Callovo-Oxfordian clay. 3D modeling of a permeability index (Ik-Seis) computed from seismic attributes (instantaneous frequency, envelope, elastic impedance) and validated at the reference borehole shows promising potential for supporting hydrogeolo… Show more

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Cited by 13 publications
(8 citation statements)
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“…A layer of continuous grey mudstone was identified from the lithology histograms at a burial depth of between 500 and 800 m. Then, influenced by tectonic movements and a dryer climate during the deposition stages of the second (K 1 b 2-2 ) and third lithological units (K 1 b 2-3 ), the lacustrine basin shrank as clastic sediments were deposited, reflecting a fan delta front, braided delta plain sub-facies and a shallow lacustrine environment. It is worth noting that sections of grey mudstone were identified in the samples from boreholes TZK-2, ZKH56-15 and ZKH64-48 at burial depths of between 100 and 300 m. Based on the continuous thickness of the COX clay (130 m) in France and the OPA clay (131 m) in Switzerland (Mari & Yven, 2014; Bossart et al , 2017), it was surmised that the thickness of the continuous target formation in the Tamusu area may be >300 m because of the unexposed base of the target formation (K 1 b 2 ). More importantly, the spatial distribution ( i.e.…”
Section: Resultsmentioning
confidence: 99%
“…A layer of continuous grey mudstone was identified from the lithology histograms at a burial depth of between 500 and 800 m. Then, influenced by tectonic movements and a dryer climate during the deposition stages of the second (K 1 b 2-2 ) and third lithological units (K 1 b 2-3 ), the lacustrine basin shrank as clastic sediments were deposited, reflecting a fan delta front, braided delta plain sub-facies and a shallow lacustrine environment. It is worth noting that sections of grey mudstone were identified in the samples from boreholes TZK-2, ZKH56-15 and ZKH64-48 at burial depths of between 100 and 300 m. Based on the continuous thickness of the COX clay (130 m) in France and the OPA clay (131 m) in Switzerland (Mari & Yven, 2014; Bossart et al , 2017), it was surmised that the thickness of the continuous target formation in the Tamusu area may be >300 m because of the unexposed base of the target formation (K 1 b 2 ). More importantly, the spatial distribution ( i.e.…”
Section: Resultsmentioning
confidence: 99%
“…In the area investigated by seismic surveying, the outcropping formations are Kimmeridgian marls and Kimmeridgian and Tithonian limestone with a thin deposit of Cretaceous. Figure 7.2 gives the geological description of the Jurassic and Triassic series at well EST433 and the location of the interpreted seismic horizons (Landrein et al, 2014;Mari and Yven, 2014). The deformations associated with tectonic plate movements have remained small for the past 150 million years, as in the rest of the Paris Basin (Guillocheau et al, 2000;Megnien, 1980).…”
Section: Geological Settingmentioning
confidence: 99%
“…The updated velocity model thus obtained must be consistent with an underlying interval velocity model obtained by the geostatistical method for the time-to-depth conversion of seismic horizons with a resolution comparable to the resolution of the acoustic impedance sections. Some results have already been obtained using seismic lines extracted from the 3D seismic survey recorded on the Zira area (Mari J.L. and Yven B., 2014).…”
Section: Depth Conversionmentioning
confidence: 99%
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“…One of the applications of modelling software in geology is building a 3D model of geological structure for an investigated region [1][2][3][4][5][6][7][8][9][10][11][12][13]. Using the 3D models the potential mineral target can be predicted and evaluating mineral resources can be performed [13][14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%