Oil well productivity capacity prediction based on support vector machine optimized by improved whale algorithm

Oil well productivity capacity prediction based on support vector machine optimized by improved whale algorithm

Abstract Oil well productivity capacity is an important parameter in oilfield development, which is of great significance for efficient development. Traditional oil well productivity capacity prediction methods have a series of problems, such as limited application scope, large prediction errors, di...

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Bibliographic Details
Main Authors: Kuiqian Ma, Chunxin Wu, Yige Huang, Pengfei Mu, Peng Shi
Format: Article
Language:English
Published: SpringerOpen 2024-10-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Whale algorithm
Support vector machine
Machine learning
Productivity capacity prediction
Feature selection
Online Access:https://doi.org/10.1007/s13202-024-01873-w
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