The global oil and gas sector drives high-value projects with significant financial exposure. Effective corporate and industrial planning requires closely monitoring the evolution of oil barrel prices and generating accurate forecasts. Deep Learning models can provide decision-makers with greater security in mitigating financial risks. This research presents an advanced model that employs Deep Learning techniques alongside traditional statistical models to select the most effective model for each dataset. Additionally, the study emphasizes the need to present results visually, offering decision-makers increased clarity and confidence in models generated by artificial intelligence techniques. In computer science, this study highlights the importance of Deep Learning models in enhancing the predictive capabilities of software systems. Interdisciplinary collaboration between industry experts and AI specialists is essential to achieving optimal results and driving innovation across industries, particularly in financial decision-making. The findings of this research demonstrate that Deep Learning provides a forward-looking, strategic tool to manage products highly exposed to oil price volatility, delivering a more resilient approach to financial planning and risk management in the oil and gas industry.