新疆石油地质

新疆石油地质 ›› 2006, Vol. 27 ›› Issue (6): 751-753.

• 应用技术 • 上一篇    下一篇

试油层自然产能预测方法及其在塔里木盆地的应用

康永尚1a,1b, 郇国庆1b, 宋健兴2   

  1. 1.中国石油大学: a.石油与天然气成藏机理教育部重点实验室; b.资源与信息学院, 北京102249;
    2.中国石油吐哈油田公司丘东采油厂, 新疆鄯善838202
  • 收稿日期:2006-03-01 修回日期:2006-05-19 出版日期:2006-12-01 发布日期:2020-10-21
  • 作者简介:康永尚(1964-), 男, 河南登封人, 教授, 地质资源与地质工程,(Tel) 010-89734608(E-mail) kangysh@sina.com.

Method for Natural Productivity Prediction in Production Testing Interval and Its Application to Tarim Basin

KANG Yong-shang1,2, HUAN Guo-qing2, SONG Jian-xing3   

  1. 1. Key Laboratory of Hydrocarbon Accumulation Mechanism, Ministry of Education, China University of Petroleum, Beijing 102249, China;
    2. Institute of Earth Resources and Information, China University of Petroleum, Beijing 102249, China;
    3. Qiudong Produciton Plant, Tuha Oilfield Company, PetroChina, Shanshan, Xinjiang 838202, China
  • Received:2006-03-01 Revised:2006-05-19 Online:2006-12-01 Published:2020-10-21

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摘要： 准确预测试油层段的自然产能, 是制定科学合理的试油方案的重要前提。通过分析塔里木盆地大量录井和试油资料, 提出了试油层自然产能预测的新方法。该方法不仅给出了获得渗透率的若干解决办法, 而且提出了由录井资料预测地面原油粘度进而预测地层原油粘度的方法, 并根据达西公式建立了塔里木盆地碎屑岩地层采液指数与地层流度或流动系数的回归关系式。该方法参数少而且容易获得、预测结果准确, 具有较强的实用性和可操作性, 可以为优选试油层位和优化试油方案提供直接、可靠的依据。

关键词: 试油, 产能预测, 粘度, 渗透率, 流度, 流动系数

Abstract: It is precondition of preparing reasonable production testing scheme to precisely predict the natural productivity in production testing interval. This method for the natural productivity prediction is proposed based on analysis of plenty of logging and production testing data, by which several solutions to gain permeability could be provided; using logging data to predict both stock tank oil viscosity and in-situ crude viscosity is presented, and a regression equation for fluid productivity index vs. flow coefficient is established by Darcy equation. This method is characterized by fewer and easily acquired parameters, precisely predicted results and better practicability and feasibility. It is used to provide direct and reliable bases for the interval preference and the scheme optimization of production test.

Key words: production test, productivity prediction, viscosity, permeability, mobility, flow coefficient

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