Geostatistical analysis on the spatial variation of radiogenic elements in the crystalline basement of Grenville Province in the southwestern Québec

摘要: Accurate assessment of deep geothermal resources remains a challenge from the practical point view. Parameter uncertainties and partial knowledge initial conditions limit prediction subsurface temperatures using variety thermal models strongly unreliable, temperature is highly dependent on radiogenic heat production in geological layers mainly affected by number factors including concentrations uranium, thorium potassium, rock density. In this paper, geostatistical methods were applied to investigate spatial distribution elements (e.g., thorium, potassium) their corresponding production. A representative region measuring 35 km × 80 km southwestern Quebec, covering domains Portneuf-Mauricie, Morin Terrane Parc des Laurentides Grenville Province was selected for study because its easy accessibility. Analysis results show that potassium most rocks basement research are range 1–2 ppm, 3–10 ppm 1–4%, respectively. Furthermore, 90% total samples analysed uranium concentration less than 3 ppm, 64% 5 ppm, 56% 3%. This paper engaged both ordinary kriging interpolation sequential Gaussian simulation (SGS) elements. Using density data specific rocks, area also simulated SGS method. Conclusively, difference between minimum maximum value 30%, considering significant proportion heterogeneity