Statistical table of rock mineral composition.

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.

在地层油藏（stratigraphic reservoirs）的勘探研究中，基于地震波反射特征追踪得到的地层尖灭线（formation pinch-out line）与该线的实际空间位置往往存在显著偏差，这已成为制约油气勘探开发进一步推进的核心瓶颈。本研究以准噶尔盆地西北缘的哈拉阿拉特山为研究靶区，整合测井（logging）、钻井（drilling）与三维地震（3D seismic）数据开展地层油藏专项研究。一方面，在基于地震数据识别地层尖灭点的研究中，本研究通过改进的夹角外推法（included angle extrapolation method），利用半能量属性（half energy attribute）有效降低了储层尖灭线的识别误差；另一方面，研究团队借助声波曲线（acoustic curves）与油气敏感测井（oil-gas sensitive logging）重构泊松比（Poisson’s ratio）曲线，并通过泊松比叠后遗传反演（post-stack genetic inversion）预测储层含油相带，以此综合剖析地层油藏的主控因素。研究区内主要发育构造岩性油藏（structural lithologic reservoirs）、构造地层油藏（structural stratigraphic reservoirs）以及地层超覆尖灭油藏（stratigraphic overlaps that pinch out reservoirs）。地层油藏的边界受不整合面（unconformity surface）倾角、地层倾角等多重因素调控。改进的夹角外推法显著提升了地层超覆尖灭油藏的识别精度，结合泊松比反演得到的储层分布结果进一步优化了储层预测准确率。该方法有效改善了地层油藏的预测效果，为同类油藏的勘探开发提供了全新的技术思路。