深水高温高压钻井井控系统动力学模拟及井控策略研究

Dynamics simulation of well control system and well control strategy for deep-sea high-temperature and high-pressure drilling wells

  • 摘要: 随着深水油气开发向高温高压地层不断延伸,现有钻井井控策略在复杂环境下的适应性不足及应急响应时机不明等问题日益凸显,亟需构建系统性的安全分析方法以支撑井控策略的优化。为系统识别高温高压钻井中井喷风险的关键因素并揭示其动态演化机制,以系统理论事故模型与过程为基础,运用STAMP/STPA方法识别井控系统中的不安全控制行为及其致因,构建适应高温高压环境的安全控制结构,进而对比揭示其相较于常规钻井的差异化风险特征。在此基础上,引入系统动力学方法,建立井控安全水平演化模拟模型,模拟不同风险致因耦合场景下系统安全状态的动态演变过程,阐明多因素交互作用对井控安全水平的影响规律。模拟结果表明,通过系统性分析与动态建模能够有效识别高温高压钻井中的关键风险路径与控制薄弱环节,构建井控安全水平临界曲线,据此将井控安全状态划分为不同等级,提出面向典型致因场景的主被动组合井控策略,并明确了风险初期与临界状态下的差异化控制措施。研究结论可为深水高温高压钻井井喷事故的主动预防与精准控制提供理论支撑与决策依据。

     

    Abstract: As deep-sea oil and gas development continues to expand into high-temperature, high-pressure formations, issues such as the inadequate adaptability of existing well control strategies in complex environments and the uncertainty regarding the timing of emergency responses have become increasingly prominent. There is an urgent need to establish a systematic safety analysis method to support the optimization of well control strategies. To systematically identify the key factors contributing to blowout risks in high-temperature, high-pressure drilling and to elucidate their dynamic evolution mechanisms, this paper employs system theory accident models and processes. Using the STAMP/STPA methodology, it identifies unsafe control behaviors and their root causes within the well control system, constructs a safety control framework adapted to high-temperature, high-pressure environments, and subsequently compares and highlights the distinct risk characteristics relative to conventional drilling. Building on this foundation, system dynamics methods are introduced to establish a simulation model for the evolution of well control safety levels. This model simulates the dynamic evolution of the system’s safety state under various scenarios of risk factor coupling, elucidating the patterns by which multi-factor interactions influence well control safety levels. Simulation results indicate that systematic analysis and dynamic modeling can effectively identify key risk pathways and control vulnerabilities in high-temperature, high-pressure drilling, construct a critical curve for well control safety levels, classify well control safety states into different grades based on this curve, propose combined active and passive well control strategies for typical causal scenarios, and clarify differentiated control measures for the early stages of risk and critical states. The research conclusions provide theoretical support and a basis for decision-making regarding the proactive prevention and precise control of well blowout accidents in deepwater high-temperature, high-pressure drilling operations.

     

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