【摘要】 针对塔中地区碳酸盐岩储层类型多、非均质性强的特点,利用地震波形变化特征,半定量地识别和预测了优质储层的分布。文章论述了该技术的基本原理、实现过程以及关键参数选择的原则。通过井-震标定建立了储层段地震响应的模式,分析了不同品质储层的地震波形特征;利用自组织神经网络逐道进行了目的层段地震道波形聚类;结合钻井标定最终实现了碳酸盐岩储层的半定量化评价。根据预测结果部署了2口井,钻探结果与预测结果吻合较好。更多还原

【Abstract】 The carbonate reservoir is characterized by various types and strong inhomogeneity.Seismic waveform variation characteristic is used to semi-quantitatively identify and predict the distribution of high-quality reservoir.The basic principle,realization process and the keyparameters ofthis technologyare analyzed.The seismic response pattern is established in reservoir zone by well-seismic calibration,and the seismic waveform characteristics of different reservoirs are analyzed.Seismic trace waveform of target zone is classified by means of self-organizing neural network.The semi-quantitatively evaluation of carbonate reservoir is finally carried out.According to the prediction,two wells have been drilled,and the drillingresult is consistent with the prediction result.更多还原