Poisson’s ratio and GR (in Fig 13).

In the investigation of stratigraphic reservoirs, a significant discrepancy frequently exists between the delineation of the formation pinch-out line as traced using the characteristics of seismic wave reflections and the actual location of the formation pinch-out line. This has been the main problem restricting further hydrocarbon exploration and development. In this study, Hala’alate Mountain on the northwestern margin of the Junggar Basin is taken as an example for carrying out the study of stratigraphic reservoirs by integrating logging, drilling, and 3D seismic data. On the one hand, in studies based on the identification of formation pinch-out points using seismic data, the identification error of reservoir pinch-out lines is reduced by the improved included angle extrapolation method by utilizing the half energy attribute. On the other hand, the Poisson’s ratio curve is reconstructed using acoustic curves and oil-gas sensitive logging, then the reservoir oil-bearing facies zone is predicted using Poisson’s ratio post-stack genetic inversion to comprehensively analyze the controlling factors of stratigraphic reservoirs. The study area mainly features structural lithologic reservoirs, structural stratigraphic reservoirs and stratigraphic overlaps that pinch out reservoirs. The boundary of a stratigraphic reservoir is affected by the dip angle of the unconformity surface, the formation dip angle, and other factors. The improved included angle extrapolation method improves the identification accuracy of stratigraphic overlap pinch-out reservoirs. The reservoir distribution then is calculated according to Poisson’s ratio inversion, improving the prediction accuracy for the reservoir. This method improves the predictive effect for stratigraphic reservoirs and provides a new idea for the exploration and development of similar reservoirs.

在地层油气藏（stratigraphic reservoirs）研究中，基于地震波反射（seismic wave reflections）特征追踪得到的地层尖灭线（formation pinch-out line）刻画结果，与地层尖灭线的实际位置常存在显著偏差，这已成为制约油气勘探开发（hydrocarbon exploration and development）进一步推进的核心难题。本研究以准噶尔盆地（Junggar Basin）西北缘的哈拉阿拉特山（Hala’alate Mountain）为研究区，综合利用测井（logging）、钻井（drilling）与三维地震（3D seismic）数据开展地层油气藏相关研究。一方面，针对基于地震数据识别地层尖灭点的研究场景，本研究通过改进的夹角外推法（included angle extrapolation method），结合半能量属性（half energy attribute）降低了储层尖灭线（reservoir pinch-out lines）的识别误差。另一方面，本研究利用声波测井曲线（acoustic curves）与油气敏感测井（oil-gas sensitive logging）数据重构泊松比（Poisson’s ratio）曲线，并通过泊松比叠后遗传反演（Poisson’s ratio post-stack genetic inversion）预测储层含油气相带（reservoir oil-bearing facies zone），以全面剖析地层油气藏的控制因素。研究区内主要发育构造岩性油气藏（structural lithologic reservoirs）、构造地层油气藏（structural stratigraphic reservoirs）以及地层超覆尖灭型油气藏（stratigraphic overlaps that pinch out reservoirs）。地层油气藏的边界受不整合面（unconformity surface）倾角、地层倾角（formation dip angle）等多种因素共同影响。改进后的夹角外推法提升了地层超覆尖灭型油气藏的识别精度。基于泊松比反演结果计算储层分布（reservoir distribution）范围，进一步提升了储层预测精度。该方法有效优化了地层油气藏的预测效果，为同类油气藏的勘探开发提供了全新思路。