天然气储层预测技术及应用 ——以雅克拉地区卡普沙良群底块砂岩储层为例

雅克拉地区自SC2井在白垩系卡普沙良群底块砂岩获得工业油气流后，加大了勘探开发力度。为了指导开发井的部署，综合利用钻井、岩心、测井、地震等资料，对本区主要储层进行了预测研究，建立了一套以地震属性参数（振幅、频率）提取技术、地震测井联合反演技术、三维可视化解释技术为主的碎屑岩储层预测技术系列。通过储层预测技术应用，整体掌握了该区储层纵横向分布规律及储层特征，准确预测了雅克拉构造的含油气范围，为油田开发井部署提供了有力的基础数据和科学依据。

Application of reservoir prediction techniques in Yakela gas reservoir

After well SC2 produced industrial hydrocarbon flow in the sand of the Cretaceous K1kp in Yakela, the endeavors in exploration and production have been increased. To guide the deployment of development wells, we performed study of reservoir prediction for the main targets comprehensively on drilling, cores, logging, and seismic data. A suite of methods has been developed which include seismic attribute extraction techniques, joint inversion of seismic and logging data, and 3-D visualization techniques. The distribution and characters of the reservoir have been determined, and the range of hydrocarbon enrichment in the Yakela structure has been delineated.