2015
DOI: 10.1306/04281411108
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Kinematic restoration of contractional basement structures using thermokinematic models: A key tool for petroleum system modeling

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Cited by 49 publications
(53 citation statements)
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References 33 publications
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“…Our shortening estimate is notably lower than previous estimates that range between 22% and 33% (Bayona et al, ; Cortés et al, ; Mora et al, ; Mora, Casallas, et al, ; Mora, Parra, et al, ; Parra, Mora, Sobel, et al, ; Ramírez‐Arias et al, ; Teixell et al, ; Tesón et al, ). Uncertainties in our restoration are related to the depth and geometry of the frontal detachment as well as out‐of‐plane deformation.…”
Section: Discussioncontrasting
confidence: 72%
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“…Our shortening estimate is notably lower than previous estimates that range between 22% and 33% (Bayona et al, ; Cortés et al, ; Mora et al, ; Mora, Casallas, et al, ; Mora, Parra, et al, ; Parra, Mora, Sobel, et al, ; Ramírez‐Arias et al, ; Teixell et al, ; Tesón et al, ). Uncertainties in our restoration are related to the depth and geometry of the frontal detachment as well as out‐of‐plane deformation.…”
Section: Discussioncontrasting
confidence: 72%
“…The crustal structure derived from receiver functions shows an average crustal thickness between 40 and 45 km (Poveda et al, ), without a clear crustal root beneath the Cocuy Sierra, decreasing to 35 km beneath the LB. Our shortening estimate of <15% is lower than previous estimates, which range between 22% and 33% (Bayona et al, ; Colletta et al, ; Cooper et al, ; Cortés et al, ; Mora et al, ; Mora, Casallas, et al, ; Mora, Parra, et al, ; Parra, Mora, Sobel, et al, ; Ramírez‐Arias et al, ; Silva et al, ; Tesón et al, ; Teixell et al, ). Over a section of 200 km, assuming no density variation and an initial crustal thickness of ~35 km, shortening of 15% or 30% would produce crustal thickening of ~5 km or ~8 km, respectively.…”
Section: Discussioncontrasting
confidence: 66%
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“…The process of linking kinematic models of deformation derived from balanced cross sections to advection-diffusion thermal models in order to calculate the evolving subsurface temperatures and predict cooling ages has been explored recently by several research groups Erdös et al, 2014;Mora et al, 2015;McQuarrie and Ehlers, 2015;Castelluccio et al, 2016;Rak et al, 2017). The level of kinematic detail modeled in each of these examples varies greatly, as does how depths of measured samples were projected backwards in time.…”
Section: Flexural and Kinematic Modelmentioning
confidence: 99%
“…Each kinematic step can range from 5 to 30 km over estimated time steps of 0.25-15 Myr. The flexural response of deformation has either been cal-604 M. E. Gilmore et al: Testing the effects of topography, geometry, and kinematics culated explicitly in the reconstruction software (McQuarrie and Ehlers, 2015;Rak et al, 2017) or estimated based on reconstructed paleodepths, foreland basin history, and/or perceived flexural response by using the flexural-slip unfolding algorithm in Move (Erdös et al, 2014;Mora et al, 2015;Castelluccio et al, 2016). Due to this growing method of linking cross section kinematics to thermal models, it is critical to examine how sensitive the predicted ages are to how flexural isostasy and topography are calculated because both control the depth and thus the thermal history of rocks through time .…”
Section: Flexural and Kinematic Modelmentioning
confidence: 99%