在基于支矢量机的可变温度环境下对钻井流体的气质参数进行校准建模,基于支矢量机
He Zhang1, Rong Luo1, Hai Yang1
1School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China.
The Review of scientific instruments
|October 7, 2024
概括
这项研究引入了一种新的支向量机器模型,用于实时测量钻井流体的形学,从而提高在变化温度下的精度. 该方法可以提高高精度的钻井流体性能监测.
科学领域:
- 石油工程是石油工程中的一个.
- 材料科学 是一种材料科学.
背景情况:
- 传统的钻井流体体质学测量在可变温度环境中具有显著的延迟和不高的准确性.
- 现有的模型依赖于固定的温度和经验公式,在复杂的条件下失败,导致预测错误.
- 精确监测钻井流体性能对于高效的钻井操作至关重要.
研究的目的:
- 为了解决在可变温度条件下钻井流体测量的低准确度和不稳定性.
- 开发基于支向量机器 (SVM) 的校准模型,用于准确的实时学参数预测.
- 提高在动态温度环境下精确监测钻井流体性能.
主要方法:
- 双管差压的分析 脊髓学实时测量装置原理.
- 使用差压和流速数据建立剪切应力-剪切速率关系.
- 用灰狼优化算法优化基于SVM的校准模型的构建,用于预测风湿学纠正参数.
主要成果:
- 开发了一个实时监控平台,用于钻井液体的气流学.
- 在表面粘度,塑料粘度和收益率点预测方面达到最大相对误差 ±5%.
- 获得的确定系数 (R2) 大于0.95,证明了高预测准确度.
结论:
- 拟议的基于SVM的校准模型有效地监测钻井液在可变温度环境中的风湿性能.
- 该方法显著提高了实时钻井流体测量的准确性和稳定性.
- 这一进步使得钻井操作能够得到更精确的控制和优化.
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