摘要
由于川中高磨地区灯影组超深层碳酸盐储层横向非均质性强、缝洞较发育、地震分辨率低、优质储层地球物理特征认识不清等突出问题,造成了储层预测不准、探井工艺井储层钻遇率不高等难题,影响勘探评价效果。通过研究超深碳酸盐优质储层及致密层的地震响应特征,以导眼井电测声波数据为基础,构造不同的地质模型,正演不同地质条件下的合成地震记录,总结出不同地质组合关系下的储层地震响应记录,并与实际地震记录比对分析,确定优质储层的横向展布特征,为工艺井的部署及随钻决策提供依据,降低钻井风险。经过实际工艺井钻井实时跟踪分析的验证,本方法有效地提高了工艺井优质储层钻遇率,达到了勘探目标评价效果。
Be aimed at the deeper carbonate rock reservoir character of Gao-Mo block Dengying formation which is in strong transversal anisotropism with growth fracture and cave,the lower seismic resolution ratio,and blurring reservoir geophysics and so on.It will result the difficult which cannot predict the reservoir exactly,the lower reservoir drilling ration of prospection and technological well.It also influences the efficient of prospection estimate.The seismic response characteristics of the deeper carbonate rock reservoir and compact layer are studied basing the log data of the guide eye well in this study for structure different geological model.The different geological condition synthetic seismograms are simulated to summarize the reservoir seismograms of different geology combination.And then the real seismic record is contrast to predict the transversal distribution characteristic of the high quality reservoir which can underlie for arranging technological well and making policy while drilling and reduce the ration of drilling well.Through the testing of technological well real tracking analysis,the method can increase the reservoir drilling ration of technological well and aim to the result of prospection.
作者
赵容容
张宇
周星合
伍东
朱卫星
林旺
薛宏智
高义兵
ZHAO Rongrong;ZHANG Yu;ZHOU Xinghe;WU Dong;ZHU Weixing;LIN Wang;XUE Hongzhi;GAO Yibin(PetroChina Southwest Oil&Gasfield Company Exploration Division,Chengdu 610094,China;CNPC Engineering Technology R&D Company Limited,Beijing 100045,China;Southwest Branch of petrochina Logging Company,Chongqing 400021,China)
出处
《物探化探计算技术》
CAS
2022年第4期442-451,共10页
Computing Techniques For Geophysical and Geochemical Exploration
关键词
工艺井
地震正演
声波测井
层状速度模型
地质导向
导向模型
technological well
seismic modeling
acoustic logging
layered velocity model
geosteering
geosteering model