首页> 外文会议>ASME Pressure Vessels and Piping Conference >Erosion prediction of sub-sea Xmas tree based on CFD
【24h】

Erosion prediction of sub-sea Xmas tree based on CFD

机译:基于CFD的亚海XMAS树的侵蚀预测

获取原文

摘要

Sub-sea vertical Xmas tree is one of the key equipment in the oil industry. Erosion caused by particles in the flow of oil and gas may lead to equipment failure or even interruption of oil exploitation. Therefore, it is important to figure out the characteristics of erosion in vertical Xmas tree. In the present work, the AISI 8630 erosion model and the Forder wall rebound model has been applied to study the erosion of production channel and choke valve in the tree. The maximum and average surface erosion amount are introduced to evaluate the erosion degree. The results show that for the production channel, erosion mainly occurs in the interior of the turning point of the channel and the interior of the downstream wall near the joint, and the most serious eroded area is located at the bottom of the downstream wall of the channel. Comparing the effects of blind pipe length, particle concentration, particle size and flow velocity on the erosion wear of the production channel, it is found that the flow velocity is the main factor affecting erosion. As the velocity of fluid increases, the maximum and the average surface erosion on the inner wall of production channel increase in a steep manner. For the choke valve, as the relative opening increases, the maximum erosion amount decreases sharply. However, compared with the production channel, the wear of the valve channel is much more serious, and more attention should be paid in industrial operations.
机译:亚海垂直Xmas树是石油工业中的主要设备之一。油气流动中的颗粒引起的侵蚀可能导致设备故障甚至中断石油剥削。因此,重要的是要弄清楚垂直Xmas树中腐蚀的特征。在目前的工作中,AISI 8630侵蚀模型和牙齿壁回弹模型已应用于研究树中生产通道和扼流阀的侵蚀。引入最大和平均表面侵蚀量以评估侵蚀程度。结果表明,对于生产通道,侵蚀主要发生在通道的转折点内部和接头附近的下游壁的内部,并且最严重的侵蚀区域位于下游墙壁的底部渠道。比较盲管长度,颗粒浓度,粒度和流速对生产通道侵蚀磨损的影响,发现流速是影响侵蚀的主要因素。随着流体的速度增加,生产通道内壁上的最大和平均表面腐蚀以陡峭的方式增加。对于阻阀,随着相对开口的增加,最大侵蚀量急剧下降。然而,与生产通道相比,阀门通道的磨损要严重,而且应在工业运营中获得更多关注。

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