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- W3004116516 abstract "Cognitive information is widely used in the field of oil and gas, where production forecasts are of great importance to companies. In this chapter, combining support vector machine and improved particle swarm optimization algorithm, a gas field production prediction model is established, and the model is validated by the actual production data of an enterprise over the years. The results show that the model has good convergence, high prediction accuracy, and training speed and can predict its output more accurately. The method adopted in this chapter is the development of cognitive information technology. The authors have reason to believe that with the continuous development of cognitive information technology, it will have a far-reaching impact on social progress." @default.
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- W3004116516 date "2020-01-01" @default.
- W3004116516 modified "2023-10-16" @default.
- W3004116516 title "Oil and Gas Production Prediction Based on SVM and Improved Particle Swarm Optimization" @default.
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- W3004116516 doi "https://doi.org/10.4018/978-1-7998-3038-2.ch012" @default.
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