CAJ | 학술논문

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.通过井一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.
침대탑중지구탄산염암저층류형다、비균질성강적특점,이용지진파형변화특정,반정량지식별화예측료우질저층적분포.문장논술료해기술적기본원리、실현과정이급관건삼수선택적원칙.통과정일진표정건립료저층단지진향응적모식,분석료불동품질저층적지진파형특정;이용자조직신경망락축도진행료목적층단지진도파형취류;결합찬정표정최종실현료탄산염암저층적반정양화평개.근거예측결과부서료2구정,찬탐결과여예측결과문합교호.
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 key parameters of this technology are 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 drilling result is consistent with the prediction result.