12CSER094 - Computational science for gas/oil exploration production and processing
| Project number | 12CSER094 |
| Project title | Computational science for gas/oil exploration production and processing |
| Applicant(s) | Prof.dr. S. Luding |
| Abstract | The project goal is to apply advanced computational science tools to predict flow, permeability, and non- linear wave propagation through gas /oil-reservoirs to enhance efficient exploration, evaluation, and production – as well as energy efficient processing and storage. The multi-scale approach starts at the disordered grain/particle/porous-structure scale, cross-couples the high-pressure multi-phase fluid thermo- chemistry and -mechanics, and targets at the larger, seismic/reservoir length-scales. Experiments on model systems will be guided and quantitatively paralleled by coupled meso-scale resolved particle-fluid simulations, leading to a novel multi-scale computational tool for both flow/permeability prediction and non-linear wave propagation in inhomogeneous energy-related systems. As motivation , in underground exploration of energy-related resources, only low frequency modes are visible, i.e. small length scales disturb transport and wave propagation. The challenge is to model this multi-scale problem, which requires innovation in computational science for understanding and interpreting non-linear wave-propagation. Methods involve state-of-the-art algorithms for advanced multi-particle simulations and require new algorithms for the meso-scale coupling to the fluid/gas in the structure. The frequency response can be plugged into a macro-scale statistical Master-equation theory in wave-number or -frequency space, where the non-linear energy- and momentum-transfer due to, e.g., inhomogeneities, or phase- and structure interfaces will be modelled on the 'meso'-particle/pore scale. Application in large-scale space-time Finite Element Methods will be evaluated and implemented in a hybrid framework. |
| Project budget | k€ 284 (includes 1 PhD student and material budget) |
| Duration | 2013 - 2017 |