摘要
In this paper, we propose the statistical space mapping thought and classify the seismic body space throughlithology space clustering combining to the actual application background of petroleum exploration. A new method ofstratum petroleum recognition based on neural network was set up through the foundation of the data mapping relationbetween log and seismic body. It can break a new path for recognition petroleum using both log and seismic data. Andthis method has been validated in the practical data analysis in Liaohe oil field.
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.
