Abstract
Some of the simplifying assumptions frequently used in basin modelling may adversely impact the quality of the constructed models. One such common assumption consists of using a laterally homogeneous crustal basement, despite the fact that lateral variations in its properties may significantly affect the thermal evolution of the model. We propose a new method for the express evaluation of the impact of the basement’s heterogeneity on thermal history reconstruction and on the assessment of maturity of the source rock. The proposed method is based on reduced-rank inversion, aimed at a simultaneous reconstruction of the petrophysical properties of the heterogeneous basement and of its geometry. The method uses structural information taken from geological maps of the basement and gravity anomaly data. We applied our method to a data collection from Western Siberia and carried out a two-dimensional reconstruction of the evolution of the basin and of the lithosphere. We performed a sensitivity analysis of the reconstructed basin model to assess the effect of uncertainties in the basement’s density and its thermal conductivity for the model’s predictions. The proposed method can be used as an express evaluation tool to assess the necessity and relevance of laterally heterogeneous parametrisations prior to a costly three-dimensional full-rank basin modelling. The method is generally applicable to extensional basins except for salt tectonic provinces.
Highlights
Received: 11 November 2021Temperature is one of the essential parameters for determining the rate and rank of organic matter maturation [1,2]
In the absence of reliable data, we suggested quantifying the impact of uncertainty in the thermal conductivity of the heterogeneous basement on thermal history reconstruction by performing a sensitivity analysis varying λ of the heterogeneous basement blocks by ±20%
A method was presented for the express estimation of the impact of basement heterogeneity on thermal history and petroleum system modelling
Summary
Received: 11 November 2021Temperature is one of the essential parameters for determining the rate and rank of organic matter maturation [1,2]. This assumption is usually connected with a scarcity of data or with its poor quality near the bottom of the basin and/or of the crustal basement This occurs because the resolution of surveys deteriorates with depth due to the natural limitations of geophysical observations, as well as due to economic constraints on costly high-resolution surveys. Due to a lack of data, basin modellers oftentimes introduce a laterally homogeneous crystalline basement instead of a poorly explored bottom part of the sedimentary lithospheric strata. Such an assumption is equivalent to populating the model with incorrect thermophysical properties of Accepted: 11 January 2022
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