Jichao Qin
ABSTRACT
Oil exploration and development has been a hot area for investment. However, when investing in oil exploration and development, investors need to consider the large amount of investment, unknown oil reserves, and low return on investment. In order to effectively assess and analyze these risks, we use artificial intelligence technology for data analysis and model reasoning, and establish risk assessment indicators and methods based on historical data and real-time information. At the same time, advanced forecasting algorithms and models can be used to predict oil price fluctuations, oil reserves and exploration effects to more accurately predict investment returns and risk-return. Using pretreatment algorithm techniques, it is possible to formulate effective investment strategies and decisions, optimize the portfolio, and thus maximize the balance between risk management and return on investment. Compared with the traditional oil exploration and evaluation, the prediction model using artificial intelligence can improve the accuracy of the evaluation one step further, and the new evaluation system can be proposed faster through the pretreatment algorithm. The model can be further applied to the field of exploration value assessment in petroleum and geology, and the characteristics of multiple assessments can make the investment more accurate.
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Index Terms
- Investment Risk Analysis and Evaluation of Petroleum Exploration and Development Based on Artificial Intelligence
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