塔里木盆地前寒武系地层重磁电物性建模及储层激电响应特征

塔里木盆地轮探1井钻遇新元古界上震旦统优质白云岩储层, 证实了盆内寒武系盐下白云岩储层为下一步的潜力勘探层系, 对拓宽深层、超深层油气勘探领域具有重要意义.本文着重研究塔里木盆地周缘前寒武系地层露头标本, 通过分析不同地层、不同岩性标本的密度、磁化率、电阻率、极化率和剩磁特征, 建立了前寒武系地层的重、磁、电物性模型, 并较全面地完善了盆地自太古宙以来的重磁电物性与地层的关系模型.同时, 充分利用前寒武系地层密度、磁性和电性参数, 通过多参数交会分析, 揭示了古老地层不同岩性标本的重磁电物性响应特性.此外, 基于深层已钻井岩心开展含油条件下的复电阻率特征分析, 本研究为盆地深层油气非地震勘探提供了岩石物理模型, 有助于提高深层重磁电勘探方法的分辨能力, 对应用非地震勘探方法进行岩性识别和弄清物性界面特征具有指导意义.

Physical modeling of density,susceptibility and resistivity and reservoir IP response characteristics of the Pre-Cambrian formation in Tarim Basin

Drilling of Well Luntan-1 in the Tarim Basin encountered high-quality dolomite reservoir in the Upper Sinian of Neoproterozoic, confirming that the Cambrian subsalt dolomite reservoir is the next potential exploration strata. This finding is of great significance to expand the field of deep and ultra-deep oil and gas exploration. Here the outcrop samples of the Precambrian strata in Tarim Basin are studied. By analyzing the density, susceptibility, resistivity, polarizability and remanent magnetism characteristics of the specimens from different strata and lithology, the gravity, magnetic and electrical property models of the Precambrian strata are established, and the relationship model between the gravity, magnetic and electrical properties and the strata since the Archean in the basin is comprehensively improved. Furthermore, based on the density, magnetic and electrical parameters of the Pre-Cambrian strata, a multi-parameter cross-plot is established, revealing the response characteristics of physical properties of different lithologic specimens in the ancient strata. In addition, complex resistivity characteristics under oil bearing conditions are analyzed for deep drilling cores. This study provides a petrophysical model for non-seismic explorations of deep oil and gas in the basin, which will contribute to improve the resolution of deep gravity, magnetic and electrical explorations, and has important guiding significance for the application of non-seismic exploration methods for lithology identification and understanding the interface characteristics of physical properties.