测井技术2024，Vol.48Issue(3)：370-379,10.DOI:10.16489/j.issn.1004-1338.2024.03.012
低渗透率储层核磁共振测井环境分析与T2谱油层识别方法
NMR Logging Environment Analysis and T2 Spectrum Oil Layer Identification Method in Low Permeability Reservoir
摘要
Abstract
Low permeability conglomerate reservoirs are developed in Mahu sag, Junggar basin, and the nuclearmagnetic resonance (NMR) T2 spectra of different formations have great differences in the identification results of these reservoir fluids.Based on geological, drilling, logging and oil testing data, the logging environment, NMR experiments and logging response characteristics of such formations have been studied. The results show that the pore structure of the near-wellbore reservoir is improved by drilling in the study area, and the broken zone, micro-fracture zone and undisturbed strata are developed successively from the near-wellbore to the undisturbed strata. Oil and gas invasion occurs in the negative pressure drilling environment. Oil and gas invasion can be divided into oil and gas enrichment zone (oil ring), oil and gas invasion zone and undisturbed strata in the radial direction, and the response mechanism of NMR logging is clarified. The existence of oil ring is verified by using the modular formation dynamics tester. The NMR T2 spectral volume relaxation spectra of core saturated with water, saturated with oil and saturated with water centrifugation are consistent with the NMR T2 spectral long relaxation time peak of formation crude oil, and the standard of NMR T2 spectra 100 ms is determined to identify oil and water layers. This method has achieved remarkable results in reservoir fluid identification, the results provide a reference for the identification of complex reservoir fluids by NMR T2 spectroscopy.关键词
低渗透率砾岩储层/核磁共振测井/油气侵出特性/岩石物理实验/流体识别/准噶尔盆地玛湖凹陷Key words
low permeability conglomerate reservoir/nuclear magnetic resonance logging/oil and gas invasion characteristic/rock physics experiment/fluid identification/Mahu sag, Junggar basin分类
天文与地球科学引用本文复制引用
曹志锋,令狐松,孟鑫,白鹏,孙正龙,张凯..低渗透率储层核磁共振测井环境分析与T2谱油层识别方法[J].测井技术,2024,48(3):370-379,10.基金项目
中国石油天然气集团有限公司攻关性应用性专项"砾岩油藏规模增储上产与提高采收率关键技术研究"(2023ZZ23) （2023ZZ23）
