摘要
缝洞型碳酸盐岩油气藏储集空间主要为溶蚀形成的缝洞,受碳酸盐岩储集体形状多变、分布不规则和储集体内部岩性、物性不均一等复杂性影响,储集层预测难度大。提出基于谱分解技术的缝洞型碳酸盐岩溶洞识别方法:利用地震对碳酸盐岩储集层孔隙度敏感的特点,将碳酸盐岩目的层段调谐三维体丰富的振幅与相位信息与实际测井、钻井、取心等资料相结合,进行超深层缝洞型非均质碳酸盐岩储集层预测,直观展示多口钻井缝洞体分布面貌。应用谱分解技术对中国西部某地区奥陶系海相碳酸盐岩地层进行缝洞储集体识别的实例说明了方法的有效性。
Ordovician carbonate reservoir consists of fracture and cave eroded by karstification. The various configurations, irregular spreading and lithologic heterogeneity, etc, increases the difficulty in reservoir prediction. The carbonate cave identification method using a spectral decomposition technique is introduced, taking advantage of the sensitivity of seismic frequency band to carbonate porosity, combining the abundant amplitude of the 3D tuning cubes and phase information with well testing, drilling and coring data. The method can be used to predict the inhomogeneous carbonate reservoir, and clearly reveal the fracture-cave distribution. The application of the spectral decomposition technique in identifying the fracture-cave in the Ordovician marine carbonate, west China, approves the effectiveness of the method.
出处
《石油勘探与开发》
SCIE
EI
CAS
CSCD
北大核心
2005年第2期82-85,共4页
Petroleum Exploration and Development
关键词
碳酸盐岩
缝洞储集体
谱分解
调谐体
预测
carbonate
fracture and cave reservoir
spectral decomposition
tuning cube
predict
