Optimization Analysis of Seismic Attributes Based on Logging Parameters

Summary Seismic attributes play an important role in reservoir delineation, reservoir model prediction, reservoir morphology description, and quantitative seismic facies analysis in oil and gas exploration and prediction. Due to the large number of seismic attributes under the same category, and the varying sensitivity and correlation of these seismic attributes to oil and gas prediction under the same geological conditions, researchers must select effective seismic attributes and eliminate redundant information. This article combines effectiveness analysis and Spearman coefficient analysis methods, and uses intersection analysis of 41 seismic attributes and 3 logging parameters, including oil saturation, sandstone shale percentage, and porosity, from 100 and 50 wells in a certain work area to draw conclusions on the possible correlation between seismic attributes and reservoir properties. This article found that there is a significant correlation between seismic attributes under the percentage of sandstone and mudstone. The Spearman coefficient method and the effective number method are both affected by changes in the total number of samples. Therefore, in practical work, researchers should select relatively stable sensitive seismic attributes through changes in the total number of samples, in order to reduce the impact of changes in the total number of samples on seismic attribute selection.