Physical Principles of Sedimentary Basin Analysis

Wangen, Magnus

doi:10.1017/cbo9780511711824

Cited by 78 publications

(78 citation statements)

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“…In the case of one layer with a linear compaction law, the accuracy of this model can be compared to an analytical solution available in the literature, and in particular as presented by Wangen [38]. The details of which are laid out next.…”

Section: Model Outlinementioning

confidence: 99%

“…Wangen [38] uses a coordinate transform, depending on the local porosity, to remove the pore space from the equation. In these "compaction-free" coordinates, the solution can be expressed analytically.…”

Section: Verification With Analytical Solutionmentioning

confidence: 99%

“…In Wangen [38], a similar transformation is carried out, though it differs in the treatment of time. Wangen considers the characteristic pressure that would be needed to see noticeable compaction.…”

Section: Dimensionless Formmentioning

confidence: 99%

“…From this characteristic pressure, a characteristic length and time are derived. In particular, Wangen introduces the so-called gravity number, N = In [38] the formulation uses a characteristic time, thus making the scaling of the dimensionless variables time dependent. We use the total time of simulation to scale the variables, leading to a time-independent dimensionless diffusivity and compaction coefficient.…”

Section: Dimensionless Formmentioning

confidence: 99%

“…Isothermal conditions with a constant fluid density and viscosity were assumed. The accuracy of the implemented numerical solution for the case of a single stratigraphic unit with a linear compaction law was compared to the available analytical solution [38]. The multi-layer setup and the nonlinear case were tested for plausibility.…”

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confidence: 99%

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Novel basin modelling concept for simulating deformation from mechanical compaction using level sets

et al. 2017

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As sedimentation progresses in the formation and evolution of a depositional geologic basin, the rock strata are subject to various stresses. With increasing lithostatic pressure, compressional forces act to compact the porous rock matrix, leading to overpressure buildup, changes in the fluid pore pressure and fluid flow. In the context of petroleum systems modelling, the present study concerns the geometry changes that a compacting basin experiences subject to deposition. The purpose is to track the positions of the rock layer interfaces as compaction occurs. To handle the challenge of potentially large geometry deformations, a new modelling concept is proposed that couples the pore pressure equation with a level set method to determine the movement of lithostratigraphic interfaces. The level set method propagates an interface according to a prescribed speed. The coupling term for the pore pressure and level-set equations consists of this speed function, which is dependent on the compaction law. The two primary features of this approach are the simplicity of the grid and the flexibility of the speed function. A first evaluation of the model concept is presented based on an implementation for one spatial dimension accounting for vertical effective stress. Isothermal conditions with a constant fluid density and viscosity were assumed. The accuracy of the implemented numerical solution for the case of a single stratigraphic unit with a linear compaction law was compared to the available analytical solution [38]. The multi-layer setup and the nonlinear case were tested for plausibility.

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Section: Model Outlinementioning

confidence: 99%

Section: Verification With Analytical Solutionmentioning

confidence: 99%

Section: Dimensionless Formmentioning

confidence: 99%

Section: Dimensionless Formmentioning

confidence: 99%

mentioning

confidence: 99%

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Novel basin modelling concept for simulating deformation from mechanical compaction using level sets

et al. 2017

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Influence of attenuated lithosphere and sediment loading on flexure of the deep-water Magallanes retroarc foreland basin, Southern Andes

2014

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Flexural subsidence in foreland basins is controlled by applied loads-such as topography, water/sediment, and subcrustal forces-and the mechanical properties of the lithosphere. We investigate the controls on subsidence observed within the Upper Cretaceous Magallanes retroarc foreland basin of southern South America to evaluate the impact of lateral variations in flexural rigidity due to Late Jurassic extension. Conventional elastic models cannot explain the observed basin deflection and thick accumulation of deep-water Cenomanian-Turonian basin strata. However, models in which the lithosphere has been previously thinned and deflects under topographic and sedimentary loads successfully reproduce regional subsidence patterns. Results satisfy paleobathymetric observations in the Magallanes Basin and suggest that lithospheric thinning is necessary to produce both long-wavelength and deep subsidence during Late Cretaceous basin evolution. Results indicate that elastic thickness decreases westward from~45-25 km in the distal foreland to~37-15 km beneath the foredeep. These findings are consistent with a westward reduction in crustal thickness associated with the Jurassic extensional history of the Patagonian lithosphere. Our results also show that sediment loading exerts an important control on regional deflection patterns and promotes a wider region of subsidence and reduced forebulge uplift. We propose that lateral variations in mechanical properties and large sediment loads restrict depocenter migration and may cause the foredeep to remain fixed for prolonged periods of time. These findings confirm that loading of thinned lithosphere imposes different mechanical controls on the flexural profile and have potential implications for other retroarc foreland basins characterized by earlier extensional histories.

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Inverse modeling of geochemical and mechanical compaction in sedimentary basins through Polynomial Chaos Expansion

Porta

Tamellini

Lever

et al. 2014

Water Resources Research

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We present an inverse modeling procedure for the estimation of model parameters of sedimentary basins subject to compaction driven by mechanical and geochemical processes. We consider a sandstone basin whose dynamics are governed by a set of unknown key quantities. These include geophysical and geochemical system attributes as well as pressure and temperature boundary conditions. We derive a reduced (or surrogate) model of the system behavior based on generalized Polynomial Chaos Expansion (gPCE) approximations, which are directly linked to the variance-based Sobol indices associated with the selected uncertain model parameters. Parameter estimation is then performed within a Maximum Likelihood (ML) framework. We then study the way the ML inversion procedure can benefit from the adoption of anisotropic polynomial approximations (a-gPCE) in which the surrogate model is refined only with respect to selected parameters according to an analysis of the nonlinearity of the input-output mapping, as quantified through the Sobol sensitivity indices. Results are illustrated for a one-dimensional setting involving quartz cementation and mechanical compaction in sandstones. The reliability of gPCE and a-gPCE approximations in the context of the inverse modeling framework is assessed. The effects of (a) the strategy employed to build the surrogate model, leading either to a gPCE or a-gPCE representation, and (b) the type and quality of calibration data on the goodness of the parameter estimates is then explored.

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Physical Principles of Sedimentary Basin Analysis

Cited by 78 publications

References 0 publications

Novel basin modelling concept for simulating deformation from mechanical compaction using level sets

Novel basin modelling concept for simulating deformation from mechanical compaction using level sets

Influence of attenuated lithosphere and sediment loading on flexure of the deep-water Magallanes retroarc foreland basin, Southern Andes

Inverse modeling of geochemical and mechanical compaction in sedimentary basins through Polynomial Chaos Expansion

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