Economic Evaluation Model of Discounted Cash Flow for Deep Oil and Gas Fields Based on Monte Carlo Simulation

In the context of the vigorous development of artificial intelligence, this paper uses intelligent algorithm Monte Carlo simulation to carry out a comprehensive assessment of economic risks of discounted cash flow in deep oil and gas fields. Based on the discounted cash flow model, Monte Carlo simulation is introduced to generate a large number of random samples, and an economic evaluation model of discounted cash flow in deep oil and gas fields is constructed. The findings denote that the model can well fit the trend of crude oil price and oil and gas production in a deep oil field. In the practical application test, Oil field A and Oil field B are selected as the research objects. The results show that the average cumulative net present value of Oil field A is greater than 0, and the probability that the net present value is greater than 0 in each year is more than 90%. The net present value of Oil field B varies widely, ranging from −80,000 yuan to 10 billion yuan. It can be seen that the economic evaluation model of discounted cash flow based on Monte Carlo simulation can effectively evaluate the economic risk characteristics of deep oil and gas fields, and has important application value and practical significance.