Neural Network Applications in Petroleum Exploration Based on Statistical Space Mapping
Xu ., Zhengguang, Yang Hao, Qingmei, Wang, Shusheng, Zhiliang · Acta Scientiarum Naturalium Universitatis Sunyatseni · 2005
In this paper, we propose the statistical space mapping thought and classify the seismic body space through lithology space clustering combining to the actual application background of petroleum exploration. A new method of stratum petroleum recognition based on neural network was set up through the foundation of the data mapping relation between log and seismic body. It can break a new path for recognition petroleum using both log and seismic data. And this method has been validated in the practical data analysis in Liaohe oil field.