抄録
With the continuous advancement of oil and gas exploration into deepwater and complex formations, traditional sand control technologies face challenges in ensuring both efficiency and safety. Intelligent sand control technology integrates the Internet of Things, artificial intelligence, and big data analytics to enable real-time monitoring of critical parameters such as downhole sand flow, wellbore pressure, and temperature, allowing dynamic adjustment and optimization of sand control measures. AI-driven intelligent screen design optimizes pore size and structure to enhance sand filtration efficiency while reducing pressure loss. This paper systematically reviews the components, core applications, and current challenges of intelligent sand control technology, with a focus on its potential applications in deepwater wells and complex reservoirs. The findings suggest that intelligent sand control technology provides substantial benefits in enhancing well productivity and operational safety. Finally, future development directions are discussed, providing insights for further innovation and application of this technology.
