石油地球物理勘探2026，Vol.61Issue(3)：717-725,9.DOI:10.13810/j.cnki.issn.1000-7210.20250142
基于三维相控反演—人工智能—Archie公式的含气饱和度定量预测方法及应用
Method and application of quantitative prediction of gas saturation based on three-dimensional phase-controlled inversion-artificial intelligence-Archie equation
摘要
Abstract
Quantitative seismic prediction of hydrocarbon saturation remains a key technological bottleneck in exploration geophysics and has yet to achieve major breakthroughs.Previous studies continuously investigated seismic prediction methods for hydrocarbon saturation and developed various qualitative or quantitative ap-proaches.However,practical applications indicate that the prediction accuracy at the current stage still fails to meet the urgent requirements for detailed reservoir characterization.To improve the reliability and accuracy of quantitative gas saturation prediction,this paper integrates well logging,petrophysics,inversion,and artificial intelligence and proposes a quantitative gas saturation prediction method based on three-dimensional phase-controlled pre-stack geostatistical inversion,artificial intelligence,and the Archie equation.First,high-precision pre-stack elastic parameters,including P-wave impedance,S-wave impedance,and the P-wave to S-wave velocity ratio,are obtained using three-dimensional phase-controlled pre-stack geostatistical inversion con-strained by reconstructed lithological data,and sandstone porosity is predicted through petrophysical analysis.Next,artificial intelligence techniques are employed to establish a nonlinear mapping model from logging elastic parameters to undisturbed formation resistivity,enabling high-precision prediction of undisturbed formation re-sistivity using corresponding inverted elastic parameters.Finally,the predicted porosity and undisturbed forma-tion resistivity are substituted into the Archie equation to calculate reservoir gas saturation.Application results demonstrate that this method enables accurate quantitative prediction of reservoir gas saturation.The reliability and accuracy of the prediction results are verified through practical applications,with a well-seismic correlation rate exceeding 90%.This method provides effective technical support for efficient exploration and detailed devel-opment of tight gas reservoirs.关键词
相控反演/人工智能/孔隙度/电阻率/Archie公式/含气饱和度/致密气Key words
phase-controlled inversion/artificial intelligence/porosity/resistivity/Archie equation/gas satura-tion/tight gas分类
天文与地球科学引用本文复制引用
章雄,赵冀川,朱亚东,杨晓,邓小江,戴云捷..基于三维相控反演—人工智能—Archie公式的含气饱和度定量预测方法及应用[J].石油地球物理勘探,2026,61(3):717-725,9.基金项目
本项研究受国家油气重大专项"四川盆地全油气系统与新领域勘探技术"之课题"四川盆地多类型储层地球物理识别与预测关键技术"(2025ZD1400406)资助. （2025ZD1400406）
