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The accurate prediction of crude oil output plays an important role in the deployment of oilfield development and ensuring stable production. Crude oil output forecast is the premise and the core project management system of the whole oil production, while crude oil output is a dynamic system affected by multivariate variables. To accurately predict crude oil output, this paper presents a method to...
Crude oil output prediction is an important basis for oil field development plan. How to accurately predict crude oil output based on sample data is a problem to be tackled. In order to improve prediction accuracy of crude oil output, a crude of oil forecasting method based on combining gray model and neural network is proposed in this paper. The method firstly uses the gray model to predict the crude...
Factors that affect crude oil output are multifarious and non-linear, so it is very difficult to analyze and predict the crude oil output solely based on mathematical methods. This paper presents a new method that applies TB-SCM algorithm to predict crude oil output. Firstly, the monthly production data of the past years from a sample oil plant is preprocessed by the K-means algorithm, and the transaction...
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