This paper introduces both methods of seismic attribute and pattern recognition and their application to predict Ordovician limestone karst fractured zones in Xuchang Coal Mine.
简单介绍了地震属性技术和模式识别方法及其在许厂煤矿奥陶系灰岩裂隙发育带预测中的具体应用。
Hence, micro seismic facies analysis can be successfully achieved using interactive interpretation system plus fuzzy dynamic clustering and pattern recognition.
据此。本文应用模糊动态聚类和模式识别相结合的方法，在人机交互解释系统上自动实现微地震相分析。
On the basis of acquiring character of seismic signal of target by ground sensors, in virtue of nerve network, it solves pattern recognition of typical target based on seismic signal.
在利用地面传感器获取目标地震信号特征的基础上，借助神经网络理论，解决基于地震动信号的典型目标的模式识别问题。
The reservoir distribution and its features are demonstrated by seismic dual porosity inversion and reservoir pattern recognition based on modeling analysis.
在参数模型研究的基础上，采用双孔隙度反演和油藏模式识别技术对储层分布和油藏特征进行了进一步的描述和分析。
The reservoir distribution and its features are demonstrated by seismic dual porosity inversion and reservoir pattern recognition based on modeling analysis.
在参数模型研究的基础上，采用双孔隙度反演和油藏模式识别技术对储层分布和油藏特征进行了进一步的描述和分析。
应用推荐