信息熵在地下流体资料处理中的应用

简要介绍了信息熵的原理及其方法，并对八宝山断裂带逸出氡和昌黎台的水位资料进行处理，结果表明，用信息熵的原理和方法从前兆观测资料中提取地震前兆异常信息是可行的，八宝山断裂带逸出氡的信息熵减熵异常对应地震较好，分别从氡日均值和五日均值中提取的信息熵都是能得出一些很有意义的异常信息，但五日均值物熵值更明显，直观，昌黎水位处理结果也说明地震前后信息熵会出现较为明显的减熵异常，并且水位观测值势变化对信息熵影响不大。

The application of information entropy in subsurface fluid data processing

The Principle and method of information entropy is briefly introduced.The esgaped Radon in Babaoshan fault and the underground water-level data in Changliseismostation are processed.The results show that it is feasible to pick up seismic information with information entropy method.The entropy drop anomalies in escaped radon from Babaoshan fault are corresponding with earthquakes well.The information entropy picked respectively from daily mean values and 5-days-mean values of radon data both can provide some useful information,whereas the entropyanomalies from 5-days-mean values are more obvious.The processed results from underground water level data in Changli well show there will be some obvious entropy drop anomalies before and after earthquakes.The tendency changes in underground water have less affection to information entropy.