Research On Logging Interpretation Model Of The Post-steamflood Glutenite Reservoir Of Qigu Formation In Fengcheng Oil Field

Since the large-scale development in Fengcheng Oilfield,there have been more than ten years of steam injection history.There is a lack of reservoir research after steam injection,and the previous research has been unable to adapt to the current reservoir development.Therefore,the study of reservoir parameter alteration before and after steam injection was carried out.According to the previous researches on the study area,the core data and well logging data are utilized to study the reservoir in the area.And the key wells are used to study the relationship of four kinds of properties.A variety of supervised learning methods are utilized to classify the lithology which is difficult to predict,and it has a good effect.Porosity,permeability,saturation log interpretation models are established in univariate regression,multiple regression,neural network,and supervised learning,and the most suitable model with high precision is selected.Finally,six group of wells in different development stages are selected to study the reservoir physical properties and electrical changes before and after steam injection.The log interpretation is updated by the electrical alteration function after steam injection.The new model updated can adapt to the current state of production development in the study area.