Citation: Peshkov, G.A.; Chekhonin,
E.M.; Pissarenko, D.V. Estimation of
the Impact of Basement
Heterogeneity on Thermal History
Reconstruction: The Western Siberian
Basin. Minerals 2022, 12, 97. https://
doi.org/10.3390/min12010097
Academic Editor: Thomas Gentzis
Received: 11 November 2021
Accepted: 11 January 2022
Published: 14 January 2022
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minerals
Article
Estimation of the Impact of Basement Heterogeneity on
Thermal History Reconstruction: The Western Siberian Basin
Georgy Alexandrovich Peshkov
1,
* , Evgeny Mikhailovich Chekhonin
1
and Dimitri Vladilenovich Pissarenko
1,2
1
Center for Hydrocarbon Recovery, Skolkovo Institute of Science and Technology, 30/1 Bolshoy Boulevard,
121205 Moscow, Russia; E.Chekhonin@skoltech.ru (E.M.C.); dimitri.pissarenko@totalenergies.com (D.V.P.)
2
TotalEnergies Research and Development, Lesnaya, 125196 Moscow, Russia
* Correspondence: Georgy.Peshkov@skoltech.ru
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.
Keywords: basin modelling; thermal history reconstruction; heterogeneous basement; source rock
maturity; gravity anomaly; Western Siberian Basin
1. Introduction
Temperature is one of the essential parameters for determining the rate and rank of
organic matter maturation [1,2]. The reliability of temporal temperature estimations is
determined, primarily, by the reliability of the thermal properties used [3], the boundary
conditions and the thermal modelling approach [4–6]. A reliable thermal model of a basin
should consider geological processes of equal importance in both the lithosphere and the
sedimentary cover and their effects on each other [1,7].
Basin modellers use a number of simplifying assumptions when reconstructing sedi-
mentary basin evolution through numerical simulation. One common assumption in most
basin models is a laterally homogeneous basement. 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 con-
straints on costly high-resolution surveys. In some cases this may lead to the introduction of
“acoustic” [8] or “economic” [9] basements in the model. Thus, 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
actually equivalent to populating the model with incorrect thermophysical properties of
Minerals 2022, 12, 97. https://doi.org/10.3390/min12010097 https://www.mdpi.com/journal/minerals