Abstract
Analyzing showed that the safety risk evaluation for CO2geological storage had important significance. Aimed at the characteristics of CO2geological storage safety risk evaluation, drawing on previous research results, rank and order models for safety risk evaluation of CO2geological storage were put forward based on information entropy and uncertainty measure theory. In this model, the uncertainty problems in safety risk evaluation of CO2geological storage were solved by qualitative analysis and quantitative analysis, respectively; uncertainty measurement functions for the relevant factors were established based on experimental data; information entropy theory was applied to calculate the index weight of factors; safety risk level was judged based on credible degree recognition criterion and ordered. This model was applied in three typical zones of Erdos and Hetao basins. The results show that uncertainty measure method is objective and reasonable and can be used as a new way to evaluate the safety of CO2geological storage sites in the future.
Highlights
The extensive use of coal, oil, natural gas, and other fossil fuels significantly increases the CO2 content of the atmosphere
The results show that uncertainty measure method is objective and reasonable and can be used as a new way to evaluate the safety of CO2 geological storage sites in the future
CO2 geological sequestration technology is a “double-edged sword”; it could effectively alleviate the environmental disaster of climate change, but, at the same time, it could induce geological environmental disasters
Summary
The extensive use of coal, oil, natural gas, and other fossil fuels significantly increases the CO2 content of the atmosphere. Based on previous CO2 geological storage security risk evaluation research and referring to Mathematical Problems in Engineering the mathematical theory of uncertainty [7, 8], a new method The weight of each index is determined using information is proposed for evaluating the risks in this paper. Let μijk = μ(xij ∈ Ck) indicate that measured value xij belongs to Ck (the kth evaluation level). Equation (2) means μ meets the “normalization” for evaluation space U; equation (3) means μ meets the “additivity” for evaluation space U Because it satisfies (1), (2), and (3), μ is called the uncertainty measure or measure [9,10,11]. Μip} is the multi-index comprehensive evaluation measure vector of xi.
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