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OA
Method and application of quantitative prediction of gas saturation based on three-dimensional phase-controlled inversion-artificial intelligence-Archie equation
含油气性定量化地震预测是勘探地球物理技术中尚未取得重大突破的关键瓶颈技术,前人对含油气性地震预测技术开展了持续的研究,并形成了多种定性或定量预测方法,但目前的应用实践表明,其预测精度尚不能满足油气藏精细描述的迫切需求.针对如何提升含气饱和度定量预测的可靠性和精度问题,联合测井、岩石物理、反演和人工智能的多个专业环节,提出了一种基于三维相控反演、人工智能与 Archie 公式的含气饱和度定量预测方法.首先,通过基于岩性数据重构的三维相控叠前地质统计学反演技术,获得纵波阻抗、横波阻抗和纵横波速度比等高精度叠前弹性参数,并结合岩石物理分析预测砂岩孔隙度;然后,引入人工智能学习技术,构建测井弹性参数到原状地层电阻率的非线性映射模型,利用对应的反演弹性参数实现原状地层电阻率的高精度预测;最后,将孔隙度和原状地层电阻率预测结果代入 Archie 公式,计算储层含气饱和度.实例应用表明,该方法实现了储层含气饱和度的定量化高精度预测,其成果可靠性和准确性在实际应用中得到了验证,井震符合率达到 90%以上.该方法可为致密气高效勘探和精细开发提供有效的技术支持.
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.
章雄;赵冀川;朱亚东;杨晓;邓小江;戴云捷
中国石油集团东方地球物理勘探有限责任公司西南物探研究院,四川 成都 610213中国石油集团东方地球物理勘探有限责任公司西南物探研究院,四川 成都 610213中国石油集团东方地球物理勘探有限责任公司西南物探研究院,四川 成都 610213中国石油集团东方地球物理勘探有限责任公司西南物探研究院,四川 成都 610213中国石油集团东方地球物理勘探有限责任公司西南物探研究院,四川 成都 610213中国石油集团东方地球物理勘探有限责任公司西南物探研究院,四川 成都 610213
天文与地球科学
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
phase-controlled inversionartificial intelligenceporosityresistivityArchie equationgas satura-tiontight gas
《石油地球物理勘探》 2026 (3)
717-725,9
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.
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