Abstract:The correlation coefficient is a kind of indicator for measuring the statistical relationship between two variables.Existing correlation coefficients calculate only the relationship in the values,but do not take in account of the variables' positions.So the rhythmicity of data is not fully explored.It is well known that the distribution of hydrocarbon is closely related to its geographical location in the hydrocarbon exploration.This paper combines generalized Pearson product-moment correlation coefficient with spatial weighs to calculate data local correlation,and analyze spatial correlation characteristics of two data sets with different searching radius.Based on synthetic and field data tests,the proposed approach demonstrates a spatial relationship between two variables,which is helpful for the hydrocarbon exploration.
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