摘要
储层类型的准确识别是测井技术在油田勘探开发过程中的一个重要应用领域。由于碳酸盐岩储层存在低孔、各向异性以及非均质性的特点,导致利用常规测井资料识别储层类型存在较大困难。阵列声波测井技术的引入可以提高储层评价精度。时间慢度相关分析法STC(Slowness Time Coherence)通过选取合理的时窗长度和慢度搜索范围,求得阵列声波信号的最大相关系数,其对应的慢度即为各波形慢度,并同时计算各波形频域内的能量。针对碳酸盐岩地层裂缝-孔洞型、孔洞型、孔隙型3种储层类型,分别建立了3种波形成分的慢度、能量的定量识别储层类型的方法。实际应用表明,对于水层、气层,该套识别方法可行。
It was an important practical application area that reservoir types were recognized with logging technology.The carbonate reservoir types were difficult to be identified easily because of its low porosity,anisotropy and heterogeneity by conventional logging data.Array acoustic logging technology could be introduced to improve the precision of reservoir evaluation.By means of selecting the reasonable time window length and slow degrees search range,various waveform slowness could be calculated for corresponding biggest correlation coefficient.At the same time,the waveform energy was calculated in the frequency domain.A method to quantitatively distinguish fracture-pore types,vuggy types and pore types in carbonate reservoir is established by the slowness and energy of the three waveforms.Actual application shows that the method is feasible for identifying water and gas layers.
出处
《石油天然气学报》
CAS
CSCD
2012年第3期101-105,109,共6页
Journal of Oil and Gas Technology
基金
国家科技重大专项(2008ZX05047)
