Abstract According to the grey system theory, this paper selects some logging parameters that are sensitive to the fluid properties of coalbed methane reservoirs, predicts the fluid properties of unknown coalbed methane reservoirs by using grey correlation analysis method, determines the correlation factor and correlation degree between the evaluation index of fluid properties of coalbed methane reservoirs and actual data, and quantitatively describes the categories of unknown fluid properties according to the correlation degree. By analyzing various logging data and comparing the identification result with the gas test conclusion, the accuracy rate is as high as 95%, which can accurately judge the gas-bearing property of the reservoir. This shows that the grey correlation prediction is feasible, with high accuracy and ideal effect.
研究煤层气的可压性,优选出与煤层气可压性相关的参数,用物元可拓模型和主客观组合权重法,对可压性评价准则进行统计分析参数,物元构造和确定待评物元,应用到煤层气可压性评价实例中,结论也验证了采用方法的可靠性.
Accurate prediction of oil production is difficult because there are so many factors affecting production. In this paper, new screening rules are used for principal component analysis and factor screening, the support vector machine is used to complete subsequent learning and prediction work, and Gaussian regression is selected to determine the dividing line of prediction results. The results show that the model is more accurate in predicting Wells with production below 2000 cubic meters, and more accurate in predicting Wells with production above 2000 cubic meters.