MRST-co2lab is implemented as an add-on module to the MATLAB Reservoir Simulation Toolbox (MRST) and consists of a family of computational tools that have been developed especially for the study of long-term storage of CO 2 in large-scale aquifer systems. The figure shows analysis of the Johansen formation using data from the CO 2 Storage Atlas for Norwegian Continental Shelf. MRST-co2lab contains routines that can be combined into a flexible toolchain for investigating CO 2 storage scenarios. Combines results from many years of academic research in one single toolchain.Extensive suit of examples and datasets.Flexible programming framework, which also includes standard reservoir simulation tools that are thorougly tested and verified/validated against commercial reservoir simulators.Applicable to the grid types and input formats used in industry-standard geological models.Intuitive graphical user interfaces makes it simple to explore and experiement with public data sets.Computational tools designed specifically for the study of long-term, large-scale storage of CO 2.The model is a multi-level saturation-based optimization algorithm based on ICA.Įach answer string in second level is divided into a set of provinces.Įach ICA is modified by incorporating a new knock the base model. The contaminant is immiscible in water and multi-phase flow is simulated. The obtained numerical results indicate that using this simulation-optimization model provides accurate results at a less number of iterations when compared with the model employing the classical one-level ICA.Ī model is proposed to identify characteristics of immiscible NAPL contaminant sources. The performance and accuracy of the simulation-optimization model is assessed by solving a set of two and three-dimensional problems considering the effects of different parameters such as the grid size, rock heterogeneity and designated monitoring networks. To increase the diversity of populations, a new approach named knock the base method is proposed. Similar to countries in the classical ICA, these provinces are optimized by the assimilation, competition, and revolution steps in the ICA. The ICA in the second level is modified by dividing each country into a number of provinces (smaller parts). The first level consists of three parallel independent ICAs and plays as a pre-conditioner for the second level which is a single modified ICA. As the optimization model, a novel two-level saturation based Imperialist Competitive Algorithm (ICA) is proposed to estimate the parameters of contaminant sources. This model employs the UTCHEM 9.0 software as its simulator for solving the governing equations associated with the multi-phase flow in porous media. A simulation-optimization model is proposed for identifying the characteristics of local immiscible NAPL contaminant sources inside aquifers.
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