利用多学科资料预测碳酸盐岩洞穴型储集层

Using multi-subject information to predict carbonate cavernous reservoir

碳酸盐岩储集层测井资料反映近井眼显示较差,但是地层远处可能有大型缝洞系统,给评价缝洞储层的匹配关系带来了极大的难度。因此储层横向预测需要综合测井、地震和试油等多学科资料。利用测井资料(特别是电成像、偶极横波等新技术资料)精细描述井周储层缝洞发育程度和洞穴倾向;沿洞穴底界面倾向作地震剖面寻找异常储集体(俗称"串珠");结合平面地震波均方根振幅和沿层相干属性切片技术预测岩溶带横向展布。这种井震资料结合,储层横向预测技术应用到洞穴型储层初见成效,在多口井中获得了日产百吨以上的高产油气流,找到并验证了多个有利勘探区域。

Near wellbore situation of carbonate reservoir reflected by log data may be poor, but there may be large fracture-cave system developed in a distance from the wellbore, which brings extreme difficulty to the evaluation for matching relationship of fracturecave reservoirs. Therefore, predicting reservoir distribution usually requires synthesis of multi-subject data such as logging, seismic, and well testing. Well logging information especially electric imaging and dipole shear wave imaging can be used to delicately describe the development of fractures and the trend of caves around the wellbore. Using seismic profile along the main fracture strike direction to research particular reservoir is an significant technology now. Combining the root-mean-square amplitude of plane seismic waves and coherent events along the horizon is an important method to predict distribution of the karst zone. The prediction technology for reservoir distribution by using combined logging and seismic data has achieved good effects when used in reservoir with caves. Above 100 tons of oil production is obtained in many wells and a number of favorable exploration area have been found and verified by using this new method of reservoir lateral prediction.