Intelligent optimization algorithms, utilizing principles inspired by biological evolution, physical laws, or collective intelligence, offer a powerful means for global search and are applicable to challenges in the petroleum industry such as oil and gas production forecasting and tight gas reservoir development. This article will delve into three classical intelligent optimization algorithms: evolutionary algorithms, simulated annealing, and particle swarm optimization, exploring their prospects in the petroleum domain. Evolutionary algorithms, rooted in biological evolution theory, conduct global searches through mechanisms like natural selection, crossover, and mutation, adept at finding optimal or near-optimal solutions within complex solution spaces. Simulated annealing, drawing inspiration from metal annealing processes, searches for global optima by simulating material heating and cooling, possessing both global exploration and local optimization capabilities. Particle swarm optimization mimics the collective behavior of birds or fish in solution spaces, continually adjusting search directions through information exchange and collaboration among individuals. In the petroleum sector, these intelligent optimization algorithms find application in optimizing field development strategies, forecasting production, and enhancing recovery rates of tight gas reservoirs. By analyzing production data and geological parameters and leveraging the global search capabilities of intelligent optimization algorithms, more precise assessments of oil and gas reserves and geological conditions can be made to guide development decision-making. Additionally, these algorithms can optimize drilling plans and improve exploration efficiency, thereby fostering sustainable development in the petroleum industry. In conclusion, intelligent optimization algorithms hold vast potential in the petroleum domain, offering efficient and accurate solutions for challenges such as oil and gas production forecasting and tight gas reservoir development, thereby playing a crucial role in driving progress in the petroleum industry.