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基于核磁共振测井的致密砂岩储层孔喉参数表征新方法OA

New Method for Pore-Throat Parameter Characterization of Tight Sandstone Reservoirs Based on Nuclear Magnetic Resonance Logging

中文摘要英文摘要

传统方法采用核磁共振测井T2 谱转换伪毛细管压力曲线来表征致密砂岩储层孔喉参数,为解决该方法预测精度受限、低信噪比回波数据反演不确定性大等问题,为油气勘探开发及二氧化碳地质封存等提供更精准的储层孔喉参数支撑,采用核磁共振测井时域分析技术,构建 3 组拉普拉斯变换函数对,结合数值模拟、岩心实验与测井资料处理开展研究.研究结果表明:①从核磁共振回波数据中直接提取 P1、P2、P3共 3 类时域参数,避免T2 谱反演过程,数值模拟验证显示,该方法在信噪比 30 和 5 的条件下,特征参数计算的均方根误差均低于 T2 域分析方法,低信噪比下优势更显著;②经岩心实验数据分析优选,P2 参数与平均孔喉半径、孔喉半径中值、最大孔喉半径的决定系数 R2 分别达 0.92、0.81、0.89,显著优于 P1 和P3;③基于P2 建立的孔喉参数表征模型,对上述 3 类关键参数预测的R2 分别为 0.90、0.76、0.82,均方根误差分别为 0.03、0.03、0.15 μm,预测精度高于线性转换、分段幂函数及扩展幂函数等传统伪毛细管压力曲线转换方法;④实际测井资料处理结果显示,预测孔喉参数与岩心实验测量结果匹配度高,可实现致密砂岩储层孔喉连续表征.结论认为,基于核磁共振测井时域分析的新方法稳定性强、抗噪声干扰能力优,为致密砂岩等非常规储层孔喉参数表征提供了可靠技术手段,对复杂储层的储层品质评价具有重要借鉴价值.

To address the problems of limited prediction accuracy and high inversion uncertainty of low signal-to-noise ratio echo data when traditional nuclear magnetic resonance(NMR)logging T2 spectra are converted into pseudo-capillary pressure curves for characterizing pore-throat parameters of tight sandstone reservoirs,and to provide more accurate reservoir pore-throat parameter support for oil and gas exploration and development,carbon dioxide geological storage,and other applications,the study adopts the time-domain analysis technology of NMR logging.Three groups of Laplace transform function pairs are constructed,and the research is conducted by combining numerical simulation,core experiments,and well logging data processing.The research results are as follows.First,three types of time-domain parameters,namely P1,P2 and P3,are successfully extracted directly from NMR echo data,thus avoiding the T2 spectrum inversion process.Numerical simulation verification indicates that under the signal-to-noise ratios of 30 and 5,the root mean square errors(RMSE)of characteristic parameter calculation by this method are lower than those by the T2 domain analysis method,with more significant advantages under low signal-to-noise conditions.Second,after optimization via core experimental data analysis,the correlation coefficients(R2)between P2 and the average pore-throat radius,median pore-throat radius,and maximum pore-throat radius reach 0.92,0.81,and 0.89,respectively.These values are significantly superior to those corresponding to P1 and P3.Third,for the pore-throat parameter characterization model established based on P2,the R2 for the prediction of the above three key parameters are 0.90,0.76,and 0.82,with the respective RMSE values being 0.03 μm,0.03 μm,and 0.15 μm.The prediction accuracy of this model outperforms that of traditional pseudo-capillary pressure curve conversion methods,including linear conversion,piecewise power function,and extended power function approaches.Finally,processing results of field logging data reveal a high degree of consistency between the predicted pore-throat parameters and the measured results from core experiments.This method thus enables the continuous characterization of pore-throat parameters in tight sandstone reservoirs.It is concluded that the novel method based on time-domain analysis of NMR logging exhibits high stability and excellent anti-noise interference capability.It provides a reliable technical tool for the characterization of pore-throat parameters in unconventional reservoirs such as tight sandstones,and holds important reference value for reservoir quality evaluation of complex reservoirs.

金国文;麻超;张仟策;谢然红;田志;孟欢;李华

油气资源与工程全国重点实验室,北京 102249||中国石油大学(北京)地球物理学院,北京 102249中国石油集团测井有限公司辽河分公司,辽宁 盘锦 124000中国石油辽河油田公司勘探开发研究院,辽宁 盘锦 124010油气资源与工程全国重点实验室,北京 102249||中国石油大学(北京)地球物理学院,北京 102249中国石油辽河油田公司勘探开发研究院,辽宁 盘锦 124010中国石油集团测井有限公司辽河分公司,辽宁 盘锦 124000中国石油集团测井有限公司辽河分公司,辽宁 盘锦 124000

天文与地球科学

致密砂岩孔喉参数核磁共振时域分析拉普拉斯变换回波数据毛细管压力

tight sandstonepore-throat parameternuclear magnetic resonancetime-domain analysisLaplace transformecho datacapillary pressure

《测井技术》 2026 (1)

42-49,8

国家自然科学基金项目"核磁共振-毛管压力耦合驱动的致密砂岩孔-喉网络表征及岩石物理评价方法研究"(42204107)中国石油大学(北京)青年拔尖人才基金项目"非常规储层核磁共振测井智能评价方法研究"(2462024BJRC004)

10.16489/j.issn.1004-1338.2026.01.004

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