|Authors||S. Clark, L. Vynnytska and A. Schroll|
|Title||An Inverse Approach to Stratigraphic Modelling|
|Afilliation||, Scientific Computing|
|Project(s)||Center for Biomedical Computing (SFF)|
|Publication Type||Talks, invited|
|Year of Publication||2012|
|Location of Talk||34th International Geological Congress, Brisbane, Australia|
Understanding evolution of sedimentary basins is extremely important for exploration industry. Generally speaking formation of the basin includes a complicate set of phenomena which involve, for example, both tectonics and climate. That is why a lot of efforts were put into deriving reliable mathematical models. Further powerful numerical tools for forward simulations were developed. However, the potential of the software is limited by the uncertainties in key parameters used in the models. One important example is submarine sedimentation. Numerical results demonstrate that diffusion-based models with depth-dependent transport coefficients quite well capture physics of this process. One possible way to estimate these coefficients for a particular basin is calibration to the observed data from the wells. The technique presented consists in minimisation of the mismatch between well log data and simulation results. Speaking more mathematically this means solving for PDE-constrained minimisation problem. We implemented multi-lithology model. Estimation of the functional gradients is performed via solution of both forward and dual problems. Our work aims to establish link between physical process, real data and mathematical model.