新疆石油地质

新疆石油地质 ›› 2010, Vol. 31 ›› Issue (6): 614-615.

• 油藏工程 • 上一篇    下一篇

低渗透气藏产量多分段递减规律

王厉强1a,2, 王仲林1b, 于家义1b, 吴美娥1b, 杜春梅1b, 焦芙晖1c   

  1. 1.中国石油 吐哈油田分公司 a.博士后工作站;b.勘探开发研究院;c.物资供应处国际贸易部,新疆 哈密 839009;
    2.中国石油大学 博士后科研流动站,北京 102249
  • 收稿日期:2010-03-16 修回日期:2010-05-12 发布日期:2021-01-18
  • 作者简介:王厉强(1974-),男,山东临沂人,工程师,博士,油气田开发,(Tel)0902-2772244(E-mail)yjywlq@petrochina.com.cn.
  • 基金资助:
    国家科技支撑课题项目(2007BAB17B05)

Multi-Section Analysis of Production Decline for Low Permeability Gas Reservoirs

WANG Li-qiang2, WANG Zhong-lin, YU Jia-yi, WU Mei-e, DU Chun-mei, JIAO Fu-hui   

  1. 1. Tuha Oilfield Company, PetroChina, a. Post-Doctoral Work Station; b. Research Institute of Exploration and Development; c. Inventory Supply International Trade Department, Hami, Xinjiang 839009, China;
    2. Post-Doctoral Mobile Station, China University of Petroleum, Beijing 102249, China
  • Received:2010-03-16 Revised:2010-05-12 Published:2021-01-18

PDF

194

摘要： 低渗透气藏生产数据连续性较差,传统的递减阶段整体分析方法,不论Arps 方法还是修正的衰减递减分析方法,预测效果都较差。通过预测值与实际生产数据差值所建立样本空间的标准偏差分析入手,发现对于低渗透气藏呈现多段弱台阶分布的实际数据而言,分段递减分析效果远好于整体递减分析,且易于在Excel 中实现,使用简便、准确、高效。对于产量波动大,生产数据离散分布的低渗透和特低渗透油气藏,推荐使用该方法进行递减动态分析。

关键词: 低渗透油气藏, 递减, 分段, 标准偏差

Abstract: Distribution of production data tends to be sparse in low permeability gas reservoirs. The traditional production decline analyses, no matter Arps or modified attenuation decline analysis, are all poor in forecast effect. This paper analyzes the standard deviation of the sample space set up by differences between the predicted and actual production data, finding out that in view of actual data of multi-section weak step distribution in low permeability gas reservoir, multi-section decline analysis results are far better than overall decline analysis, which is easy to attain in Excel, so being accurate and efficient. For low permeability and super-low permeability oil-gas reservoirs with sparse distribution of production data, this method is recommended for production decline dynamic analysis.

Key words: low permeability reservoir, decline, section, standard deviation

中图分类号: