Strictness Petroleum Prediction System Based on Fuzzy Model

摘要: Petroleum exploration and production is an industry that provides researchers with multi-variant challenging “real world†properties. Recently, some petroleum soft computing techniques have gained a greater interest in prediction within the oil industry. This paper interested analysis, classifying, mining predictions, based on fuzzy as intelligent system called Strictness Prediction System (SPPS), predicted results statues of crude wells they are compared other measurement values. The evaluation study applies test cases, regression models time series forecasting vague datasets to achieve more accurate results. A model was made show effect re-testing processes factors. using non-parametric functional technique considered, data which collected from different sources (Daqing oilfield China distinct oilfields Yemen).