碳酸盐岩岩溶储层次生孔隙发育带预测
|
摘要
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 be- cause 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 da- ta was used to evaluate the secondary pore parameters of carbonate reservoirs.Then,the obscure neural network technology was uti- lized 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 ar- ea was predicted.The prediction shows that the secondary pore de- veloping zone by seismic-logging method is in good accordance with the high quality reservoirs drilled.Therefore,the predicted results are feasible in the area.
Evaluation of secondary pore developing zone is difficult be- cause 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 da- ta was used to evaluate the secondary pore parameters of carbonate reservoirs.Then,the obscure neural network technology was uti- lized 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 ar- ea was predicted.The prediction shows that the secondary pore de- veloping zone by seismic-logging method is in good accordance with the high quality reservoirs drilled.Therefore,the predicted results are feasible in the area.
引文
1陆基孟．地震勘探原理[M]．北京：石油工业出版社，1982．274～290
2张昕，郑晓东．裂缝发育带地震识别预测技术研究进展[J]．石油地球物理勘探，2005，40(6)：724～730
3李军，郝天珧，赵百民．地震与测井数据综合预测裂缝发育带[J]．地球物理学进展，2006，21(1)：179～183
4贾文玉，田素月，孔耀庭等．成像测井技术与应用[M]．北京：石油工业出版社，2000．15～25
5赵舒．微电阻率成像测井资料在塔河油田缝洞型储层综合评价中的砬用[J]．石油物探．2005，44(5)：509～512
6张秀荣，赵冬梅，胡国山．塔河油田碳酸盐岩储层类型测井分析[J]．石油物探，2005，44(3)：240～242
7 Johnson R A，Wichem D W著．实用多元统计分析[M]．陆璇译．北京：清华大学出版社，2001．388～439
8谢雄举，季玉新．优选地震属性预测储层参数的方法及其应用[J]．石油物探，2004．43(增刊1)：127～131
9鲍祥生，尹成，赵伟等．储层预测的地震属性优选技术研究[J]．石油物探，2006，45(1)：28～33
2张昕，郑晓东．裂缝发育带地震识别预测技术研究进展[J]．石油地球物理勘探，2005，40(6)：724～730
3李军，郝天珧，赵百民．地震与测井数据综合预测裂缝发育带[J]．地球物理学进展，2006，21(1)：179～183
4贾文玉，田素月，孔耀庭等．成像测井技术与应用[M]．北京：石油工业出版社，2000．15～25
5赵舒．微电阻率成像测井资料在塔河油田缝洞型储层综合评价中的砬用[J]．石油物探．2005，44(5)：509～512
6张秀荣，赵冬梅，胡国山．塔河油田碳酸盐岩储层类型测井分析[J]．石油物探，2005，44(3)：240～242
7 Johnson R A，Wichem D W著．实用多元统计分析[M]．陆璇译．北京：清华大学出版社，2001．388～439
8谢雄举，季玉新．优选地震属性预测储层参数的方法及其应用[J]．石油物探，2004．43(增刊1)：127～131
9鲍祥生，尹成，赵伟等．储层预测的地震属性优选技术研究[J]．石油物探，2006，45(1)：28～33
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心