Economic evaluation method for deep sea polymetallic nodule mining
By combining autoregressive analysis with Monte Carlo simulation and discounted cash flow analysis, the problem of price fluctuation uncertainty in deep-sea polymetallic nodule mining was solved, a closed-loop prediction system was formed, the reliability of economic evaluation and risk controllability were improved, and a quantitative basis for investment decision-making was provided.
Patent Information
- Application Number
- CN202510784953.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-12
- Publication Date
- 2025-09-23
AI Technical Summary
Existing economic evaluation methods for deep-sea polymetallic nodule mining lack quantitative modeling of the long-term mean-reversion characteristics and random fluctuations of prices, resulting in prediction results that are difficult to reflect the true market dynamics. They also ignore the capital exchange cost-price linkage between nodule collectors and metal processors, making it difficult to match investment return targets.
Autoregressive analysis and Monte Carlo simulation are combined with discounted cash flow analysis to form a closed-loop forecasting system. The uncertainty of metal price fluctuations is captured through the autoregressive model, and the internal rate of return is used to reversely iterate and calculate the nodule purchase price. The investment return target is linked to the mining cost, and a multi-scenario simulation is generated to show the probability distribution of project returns.
It improves the reliability of predictions and scientific decision-making for deep-sea mining projects, provides quantitative basis to assist enterprises in predicting profit expectations, and intuitively displays the probability distribution of project returns through multi-scenario simulation, thereby improving risk controllability.