南海深水高产气井测试分析及产能评价技术
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中海石油中国有限公司湛江分公司 广东湛江 524057

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TE155

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Test Analysis Methods and Productivity Evaluation Technology In Deep-Water High ProductionGas Reservoir,South China Sea
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CNOOC China Ltd._Zhanjiang,524057

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    摘要:

    莺歌海盆地深水气井LS17-X1井的测试成功,创造了中国海油自营气井单层测试日产量最高纪录,但是其稳定产能测试资料出现二项式产能方程和指数式产能差异大的情况,难以确定其无阻流量。本文结合测试工艺流程,分析各流动段压力波动原因,采用各流动段相对稳定点的压力数据回归二项式产能方程确定该气井的合理产能;同时,针对未测试砂体的产能,通过岩性、物性、电性定性类比,结合MDT流度等多参数定量预测综合分析确定其产能,形成了深水区域产能定性和定量预测综合分析技术,产能的合理预测,减少类似油气藏基础资料录取,节约大量测试成本。

    Abstract:

    The success of potential test of deep gas well of LS17-X1 in Yinggehai basin created the highest records of single test day in Marine self wells in China.But its steady productivity test data appear the condition that productivity difference is large using binomia deliverability equation and index production equation, it is difficult to determine its absolute open flow.This paper,combining the test process, analyze the reasons for pressure fluctuations of the various flow segments, binomia deliverability equation using pressure data for relatively stable flow point of each segment can determine reasonable productivity. Meanwhile, for the region of untested sand,the productivity is determined by using comprehensive analysis by lithology, physical properties, electrical properties of qualitative comparison, combined with multi-parameter quantitative calculation such as MDT flow degree.Then formed comprehensive analysis techniques on productivity qualitative and quantitative forecasting in deep water.The technique can predict reasonable productivity, reduce similar reservoir basic datum matriculated,save the costing of testing.

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李 浩,周 伟,汪来潮,等. 南海深水高产气井测试分析及产能评价技术[J]. 科学技术与工程, 2019, 19(33): 139-145.
LI Hao, ZHOU Wei, WANG Laichao, et al. Test Analysis Methods and Productivity Evaluation Technology In Deep-Water High ProductionGas Reservoir, South China Sea[J]. Science Technology and Engineering,2019,19(33):139-145.

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  • 收稿日期:2019-01-31
  • 最后修改日期:2019-11-16
  • 录用日期:2019-06-05
  • 在线发布日期: 2019-12-06
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