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准噶尔盆地车排子地区超覆在石炭系之上的古近系,聚集丰富的岩性油藏资源,由于受石炭系强振幅的影响和地震资料分辨率的制约,常规的地震属性无法有效刻画储层的纵横向分布。针对此问题,利用改进的广义S变换的谱分解技术对地震资料进行时频分析,结合已有钻井、测井资料精细标定层位、录井显示和测井解释等综合分析,优选出70Hz的分频剖面识别该地区的岩性油藏薄储集层。储层预测结果与现有钻井资料都非常吻合。据此研究成果又部署了一口评价井,并获得了工业油流,进一步表明谱分解技术适合该地区古近系的油气储层预测,也可为其他地区类似的岩性油藏储层预测提供思路。
Due to the influence of the strong amplitudes of Carboniferous and the resolution of seismic data, the conventional seismic attributes can not be effectively portrayed in the Paleogene, rich in lithologic reservoir resources overlying the Carboniferous in Chepaizi area, Junggar Basin Vertical and horizontal distribution of reservoir. Aiming at this problem, the seismic data are analyzed by time-frequency using the improved spectral decomposition technique of generalized S transform. Combined with the comprehensive analysis of existing drilling, fine calibration of logging data, logging display and logging interpretation, 70Hz The cross-section identifies thin reservoirs of lithologic reservoirs in the area. Reservoir prediction results are in good agreement with existing drilling data. According to the results of the study, an appraisal well was deployed and industrial oil flow was obtained, which further indicates that spectral decomposition techniques are suitable for the prediction of oil and gas reservoirs in the Paleogene in this area and also for similar lithologic reservoir prediction in other areas Ideas.