石油科学通报2026，Vol.11Issue(2)：398-414,17.DOI:10.3969/j.issn.2096-1693.2026.01.009
物理与工程先验融合的智能地层压力预测方法
An intelligent formation pressure prediction method integrating physical and engineering priors
摘要
Abstract
Formation pressure prediction is a critical task in drilling engineering,as its accuracy directly affects well control safety,drilling risk management,and the determination of appropriate drilling fluid density windows.Conventional formation pressure prediction methods mainly rely on a single data source,such as well logs or seismic data.In complex structural settings or abnormal overpressure zones,they often fail to accurately characterize the location and magnitude of pressure variations,leading to considerable prediction uncertainty.For example,in the Huangliu Formation of the Ledong area in the South China Sea,abnormal overpressure is developed,and the associated pressure variations exhibit strong correspondence with seismic im-pedance and lithological changes.Meanwhile,engineering responses,such as drilling fluid density adjustments,usually indicate abnormal overpressure at shallower depths than the physical variations inferred from seismic or logging data.This phenomenon indicates that engineering information and physical information are complementary in identifying formation pressure anomalies.This study proposes an intelligent formation pressure prediction method that integrates physical and engineering priors.Physical priors derived from seismic inversion and engineering well-control priors are jointly embedded into a deep learning model to achieve accurate pre-drilling pressure prediction for target wells.Application results from field data show that the proposed method improves formation pressure prediction accuracy while effectively capturing pressure variation characteristics.It also provides higher reliability in identifying high-risk intervals and determining pressure safety windows in key formations.关键词
地层压力预测/工程先验/物理先验/异常高压/井控安全Key words
formation pressure prediction/engineering priors/physical priors/abnormal overpressure/well-control safety分类
天文与地球科学引用本文复制引用
周长所,袁俊亮,丁智强,谢仁军,朴正,袁三一..物理与工程先验融合的智能地层压力预测方法[J].石油科学通报,2026,11(2):398-414,17.基金项目
国家自然科学基金"融合岩石物理-钻井信息的海上深层钻井风险识别方法研究"(U24B2031)资助 （U24B2031）
