碳酸盐岩岩溶储层次生孔隙发育带预测

Prediction of secondary pore developing zone in carbonate karst reservoirs by using seismic data and well logs

(1．成都理工大学信息工程学院，四川成都610059；2．中国石油勘探开发研究院西北分院，甘肃兰州730020)

College of Information Engineering, Chengdu University of Technology, Chengdu 610059, China

碳酸盐岩岩溶储层非均质性和各向异性强，采用井震联合方法对储层次生孔隙度进行了预测。首先利用成像测井数据评价碳酸盐岩储层次生孔隙参数，然后运用模糊神经网络技术建立次生孔隙参数与井旁道地震属性之间的关系模型，进而预测全工区储层次生孔隙度分布。采用井震联合方法预测的次生孔隙发育带与钻遇优质储层的井点吻合，预测结果在研究区块有一定的可用性。

Evaluation of secondary pore developing zone is difficult because of its strong heterogeneity and anisotropy in carbonate karst reservoirs. So a single data cannot make an accurate and complete evaluation. Aiming at the problem, firstly, the imaging logging data was used to evaluate the secondary pore parameters of carbonate reservoirs. Then, the obscure neural network technology was utilized to establish the relationship model between the secondary pore parameters and the seismic attributes of well-side traces. Finally, the porosity distribution of secondary pores all over the working area was predicted. The prediction shows that the secondary pore developing zone by seismic-logging method is in good accordance with the high quality reservoirs drilled. Therefore, the predicted results are feasible in the area.