首页> 外文会议>Advances and experiences with pipelines and trenchless technology for water, sewer, gas, and oil applications >Mechanical Model for Determining the Crossover Point of Slurry Flow inPull-back of Horizontal Directional Drilling Installations
【24h】

Mechanical Model for Determining the Crossover Point of Slurry Flow inPull-back of Horizontal Directional Drilling Installations

机译:确定水平定向钻井装置回拉中泥浆流交叉点的力学模型

获取原文
获取原文并翻译 | 示例

摘要

At present, various predicting models are developed to predict pull-back loads forrnHDD projects and results at the end-point of pull-back derived from them fit quiternwell with the results obtained in field tests. However, the maximum loads thatrnusually occur in the process of pull-back can not be predicted by any of them becausernof slurry drag effects not considered adequately. There is a crossover point in thernprocess of pull-back where slurry reverses its flow direction while the maximumrnloads usually occur, since drag effects take a large proportion in total pulling forcernfor small and medium scale HDD installations. The paper presents a model torncalculate pressure drop of slurry in concentric annulus assuming laminar flow ofrnpower-law fluid. Crossover point is located by comparing pressure drops of twornkinds of annulus (pipe in borehole and drill string in borehole). Pressure drops arerncalculated based on equation prescribed by the Society of Petroleum Engineers (SPE)rnas well. The result calculated from the model agrees with HDD field test data morernaccurately compared with the SPE equation. It is observed that the rheologyrnparameters under low shear rates have a significant impact on pressure droprncalculation.
机译:目前,已开发出各种预测模型来预测HDD项目的拉回载荷,并且从它们得出的拉回终点的结果与现场测试的结果非常吻合。但是,由于没有充分考虑浆液的拖曳作用,因此无法通过回弹力预测在拉回过程中通常发生的最大负荷。在回拉过程中有一个交叉点,在此情况下,泥浆会反转其流向,而通常会出现最大载荷,因为对于中小型HDD安装,拖拽效应在总拉力中占很大比例。本文提出了一个模型,假设幂律流体呈层流流动,则该模型会扭曲计算同心环空中的泥浆压降。通过比较两种环形空间(钻孔中的管道和钻孔中的钻柱)的压降来确定交叉点。压降是根据石油工程师协会(SPE)rnas规定的公式计算的。与SPE方程相比,从模型计算出的结果与HDD现场测试数据更为吻合。可以看出,低剪切速率下的流变参数对压降的计算有重大影响。

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