Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: MRST-co2lab is a collection of open-source computational tools for modeling large-scale and long-time migration of CO2 in conductive aquifers, combining ideas from basin modeling, computational geometry, hydrology, and reservoir simulation. Herein,  employ the methods of MRST-co2lab to study long-term CO2 storage on the scale of hundreds of megatonnes.  consider public data sets of two aquifers from the Norgian North Sea and use geometrical methods for identifying structural traps, percolation-type methods for identifying potential spill paths, and vertical-equilibrium methods for efficient simulation of structural, residual, and solubility trapping in a thousand-year perspective. In particular,  investigate how data resolution affects estimates of storage capacity and discuss workflows for identifying good injection sites and optimizing injection strategies. HighlightsOutline open-source tools for estimating CO2 storage potential in saline aquifers.Study how data resolution impacts estimates of structural trapping capacity.Develop plausible injection plans for storing gigatonnes of CO2.Examples: Johansen and Utsira from the CO2 Storage Atlas of the Norgian North Sea.
['Halvor Møll Nilsen', 'Knut-Andreas Lie', 'Odd Andersen']
I am writing a research paper on a idea Analysis of CO2 trapping capacities and long-term migration for geological formations in the Norwegian North Sea using MRST-co2lab
[{"from": "human", "value": "I am writing a research paper on a idea Analysis of CO2 trapping capacities and long-term migration for geological formations in the Norwegian North Sea using MRST-co2lab"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: MRST-co2lab is a collection of open-source computational tools for modeling large-scale and long-time migration of CO2 in conductive aquifers, combining ideas from basin modeling, computational geometry, hydrology, and reservoir simulation. Herein,  employ the methods of MRST-co2lab to study long-term CO2 storage on the scale of hundreds of megatonnes.  consider public data sets of two aquifers from the Norgian North Sea and use geometrical methods for identifying structural traps, percolation-type methods for identifying potential spill paths, and vertical-equilibrium methods for efficient simulation of structural, residual, and solubility trapping in a thousand-year perspective. In particular,  investigate how data resolution affects estimates of storage capacity and discuss workflows for identifying good injection sites and optimizing injection strategies. HighlightsOutline open-source tools for estimating CO2 storage potential in saline aquifers.Study how data resolution impacts estimates of structural trapping capacity.Develop plausible injection plans for storing gigatonnes of CO2.Examples: Johansen and Utsira from the CO2 Storage Atlas of the Norgian North Sea."}]