首页> 外文期刊>Petroleum exploration and development >Viscosity prediction model optimization for Saraline-based super lightweight completion fluid at high pressure and temperature
【24h】

Viscosity prediction model optimization for Saraline-based super lightweight completion fluid at high pressure and temperature

机译:基于Saraline的超轻质完井液在高温高压下的粘度预测模型优化

获取原文
           

摘要

Investigation and analysis of the viscosity variation of Saraline-based super lightweight completion fluid (SLWCF) at high pressure and temperature were reported, and the viscosity prediction model was optimized. Viscosity measurements were carried out at temperature and pressure ranging from 298.15 K to 373.15 K, and 0.10 MPa to 4.48 MPa respectively. The data analysis reveals that the reduction of viscosity as a function of temperature may be divided into two regions, i.e. significant viscosity reduction at low temperature and fairly slow viscosity reduction at high temperature; the viscosity of Saraline-based SLWCF is less affected by the changes of pressure. The experimental data were fitted to four different viscosity-temperature-pressure models. The results show that, the modified Mehrotra and Svrcek's and Ghaderi's models are able to satisfactorily predict the viscosity value and measured value and describe the viscosity property at high pressure and temperature. The comparison with the Sarapar-based SLWCF reveals that the viscosity of Sarapar-based SLWCF is more affected by temperature than the Saraline-based SLWCF; pressure seems to have negligible effect on Saraline-based SLWCF viscosity; the modified Mehrotra and Svrcek's and Ghaderi's models are able to give more reliable viscosity predictions for Saraline-based SLWCF than for Sarapar-based SLWCF.
机译:对Saraline基超轻质完井液(SLWCF)在高压和高温下的粘度变化进行了研究和分析,并优化了粘度预测模型。在分别为298.15K至373.15K和0.10MPa至4.48MPa的温度和压力下进行粘度测量。数据分析表明,粘度随温度的降低可分为两个区域,即低温下的粘度显着降低和高温下的粘度缓慢降低。 Saraline基SLWCF的粘度受压力变化的影响较小。将实验数据拟合到四种不同的粘度-温度-压力模型。结果表明,改进的Mehrotra模型和Svrcek模型和Ghaderi模型能够令人满意地预测粘度值和测量值,并描述了高温和高压下的粘度特性。与基于Sarapar的SLWCF的比较表明,与基于Saraline的SLWCF相比,基于Sarapar的SLWCF的粘度受温度的影响更大。压力似乎对基于Saraline的SLWCF粘度的影响可忽略不计;改进的Mehrotra和Svrcek和Ghaderi的模型比基于Sarapar的SLWCF能够提供更可靠的粘度预测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号