| 神经网络模式识别技术在井间储层参数预测中的应用 |
| |
| 引用本文： | 李燕生,马玉书.神经网络模式识别技术在井间储层参数预测中的应用[J].中国石油大学学报(自然科学版),1998(3). |
| |
| 作者姓名： | 李燕生 马玉书 |
| |
| 作者单位： | 石油物探学校(李燕生)，石油大学(马玉书) |
| |
| 摘 要： | 用地震资料和少量测井资料预测储层参数的横向变化，是储层评价和油气勘探开发的重要研究课题。地震资料中蕴含着丰富的储层物性信息，若能建立起地震参数与储层物性参数之间的关系，则可利用地震资料进行储层参数的横向预测。文中提出了一种神经网络模式识别方法，用地震反射资料进行井间储层参数预测。应用结果表明，用网络法对井间孔隙度做出的估算值是准确的，用网络自动建立起来的非线性映射关系可能较好地反映井间孔隙度的分布。
|
| 关 键 词： | 神经网络 模式识别 地层参数 孔隙度 |
/ APPLICATION OF NEURAL NETWORK PATTERN RECOGNITION TO PREDICTION OF CROSSWELL RESERVOIR PARAMETERS |
| |
| Li Yansheng School of Petroleum Geophysic Exploration in Hebei provice,China./ APPLICATION OF NEURAL NETWORK PATTERN RECOGNITION TO PREDICTION OF CROSSWELL RESERVOIR PARAMETERS[J].Journal of China University of Petroleum,1998(3). |
| |
| Authors: | Li Yansheng School of Petroleum Geophysic Exploration in Hebei provice China |
| |
| Institution: | Zhuozhou: 072750 |
| |
| Abstract: | It is an important problem in reservoir estimation and oil gas exploration and development to predict lateral variation of reservoir parameters from seismic data and well log. There is abundant reservoir information in seismic data. The relationship between seismic data and reservoir parameters can be used to estimate the reservoir parameters from seismic data. Neural network is a new information processing technique. It can be used to estimate reservoir parameters because of the capabilities in pattern recognition and complex nonlinear functions. This paper presents a neural network approach for estimation of crosswell reservoir parameters from seismic data. Application of neural network shows that this method is possible and available. |
| |
| Keywords: | neural network pattern recognition formation parameters porosity |
| 本文献已被 CNKI 等数据库收录！ |
