人工智能在煤层气领域的应用和发展

The Application and Development of Artificial Intelligence in the Coalbed Methane Field

摘要

在煤层气开发过程中，传统管理模式因井下环境复杂、地质动态多变而面临响应滞后、风险识别能力有限等挑战。人工智能技术的引入为变革煤层气领域建筑安全管理范式提供了新路径。通过集成机器学习、计算机视觉与物联网感知技术，人工智能系统能够实现对井场建设、安全管控、设施运维的实时监控、智能预警与决策辅助，从而显著提升风险防控的精准性、主动性与系统性，为构建安全、高效、智能的煤层气工程生产体系奠定技术基础。

Abstract

In the process of coalbed methane development, traditional management models face challenges such as delayed response and limited risk identification ability due to the complex underground environment and variable geological dynamics. The introduction of artificial intelligence technology provides a new path for transforming the paradigm of building safety management in the field of coalbed methane. By integrating machine learning, computer vision, and IoT perception technologies, artificial intelligence systems can achieve real-time monitoring, intelligent warning, and decision assistance for well site construction, safety control, and facility operation and maintenance. This significantly improves the accuracy, proactivity, and systematicity of risk prevention and control, laying the technical foundation for building a safe, efficient, and intelligent coalbed methane engineering production system.

关键词

人工智能 / 煤层气安全管理 / 风险预警 / 智能监测

Key words

artificial intelligence / coalbed methane safety management / risk warning / intelligent monitoring

参考文献

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