学术论文

      考虑沿程非均匀吸汽下SAGD产能预测模型

      A mathematical model for productivity prediction of SAGD process considering non-uniform steam distribution

      摘要:
      蒸汽辅助重力泄油(SAGD)相比于其他热采方法对稠油开发效果更好.目前常用的SAGD产能预测模型主要基于沿程均匀吸汽提出,矿场应用困难.针对这个问题,对SAGD沿程生产过程进行试验研究,基于试验获得沿程非均匀吸汽现象,结合达西定律、热传导定律及物质平衡方程,推导出新的SAGD产能预测模型.结果表明:三维SAGD开发物理过程比二维SAGD更加复杂;所建立的新模型在产能预测上比以往的模型更加准确;以往在二维剖面上将SAGD划分为蒸汽腔上升、蒸汽腔横向扩展及蒸汽腔下降3个阶段,但是在更加符合矿场实际的包含沿程方向的三维角度,这个阶段划分方式并不适用;蒸汽干度是影响双水平井SAGD沿程蒸汽分布的一个重要因素.
      Abstract:
      Steam-assisted gravity drainage ( SAGD) process has many advantages over other thermal recovery methods for bitu-men recovery. The current models used for productivity prediction of the SAGD process have been found not adequate for field application since the effects of steam nonconformance along the well were not considered. In this study, dedicated laboratory experiments were conducted to investigate the sectional recovery along the horizontal well during simulated SAGD process. A new mathematical model considering non-uniform steam distribution was established based on the experimental results and com-bining the Darcy's law and heat transfer as well as mass balance models in the SAGD process. The results indicate that the real 3D SAGD recovery process along the horizontal well is more complex than that described in a single 2D vertical profile, and the newly proposed model is more accurate in productivity prediction than the previous models. The previous descriptions of the steam distribution in a 2D profile (i. e. the rising steam chamber, the lateral expansion of the steam chamber when it reaches cap-rock, and the declining steam chamber when it reaches the boundary) are not applicable for the whole horizontal well sec-tion. Moreover, steam quality is an important factor that can influence the steam distribution along the horizontal well.
      作者: 黄世军 [1] 熊浩 [1] 马奎前 [2] 刘昊 [1] 程林松 [1] 黄成辉 [1]
      Author: HUANG Shijun [1] XIONG Hao [1] MA Kuiqian [2] LIU Hao [1] CHENG Linsong [1] HUANG Chenghui [1]
      作者单位: 中国石油大学石油工程教育部重点实验室,北京,102249 中海石油(中国)有限公司天津分公司,天津,300452
      年,卷(期): 2017, 41(4)
      分类号: TE357.44
      在线出版日期: 2017年8月7日
      基金项目: "十三五"国家重大科技专项