The Application of K-means Algorithm Based on Density in Recognizing Gas-bearing Core Samples from Water-bearing Ones
WU Wei-qin · Science Technology and Engineering · 2011
The research of deep volcanic gas reservoir had been the difficulty of the seismic exploration,it had many difficulties in oil and gas forecast for its inherent lithology and the complexity of the reservoir space of the volcanic reservoir.For its specificity,K-means algorithm based on density was adopted to cluster and recognize the gas-bearing core samples of deep volcanic rocks from water-bearing ones.By analyzed the reoganization results of the algorithm,it has higher accuracy and stability of the clustering recognization,Thus it has some reference value in the seismic inversion and fluid identification.