高云丛, 李相方, 刘华. 克拉美丽气田火山岩气藏试气与试采差异性研究()  引用格式:高云丛,李相方,刘华.克拉美丽气田火山岩气藏试气与试采差异性研究[J].石油钻采工艺,2012,34(1):75-77,81.  摘要:  中图分类号:TE37[J]. 石油钻采工艺, 2012, 34(1): 75-77.
引用本文: 高云丛, 李相方, 刘华. 克拉美丽气田火山岩气藏试气与试采差异性研究()  引用格式:高云丛,李相方,刘华.克拉美丽气田火山岩气藏试气与试采差异性研究[J].石油钻采工艺,2012,34(1):75-77,81.  摘要:  中图分类号:TE37[J]. 石油钻采工艺, 2012, 34(1): 75-77.
GAO Yuncong, LI Xiangfang, LIU Hua. Study on differences of gas well test and production test of volcanic gas reservoir[J]. Oil Drilling & Production Technology, 2012, 34(1): 75-77.
Citation: GAO Yuncong, LI Xiangfang, LIU Hua. Study on differences of gas well test and production test of volcanic gas reservoir[J]. Oil Drilling & Production Technology, 2012, 34(1): 75-77.

克拉美丽气田火山岩气藏试气与试采差异性研究()  引用格式:高云丛,李相方,刘华.克拉美丽气田火山岩气藏试气与试采差异性研究[J].石油钻采工艺,2012,34(1):75-77,81.  摘要:  中图分类号:TE37

Study on differences of gas well test and production test of volcanic gas reservoir

  • 摘要: 克拉美丽气田是新疆油田公司第一个千亿立方米整装气田。针对气田火山岩储层岩性物性变化快、低孔低渗、气水关系复杂的地质特征和生产动态特征差异大的投产早期开发情况,结合15口气井试气与试采资料,评价了气井产能主要影响因素,在气井试气与试采特征基础上,系统分析了火山岩气藏试气与试采差异性。研究表明:火山岩气井初始产能的高低与其稳产能力不存在必然关系,试采无阻流量与地层系数关联性强,更接近气井真实产能,气井合理配产和后期方案调整中应充分利用试采数据;压裂井试气建立的产能方程与试采曲线特征差异较大的重要原因之一是压裂导流能力随时间下降显著,产能预测需要考虑压裂井试气时的裂缝效应。

     

    Abstract: Kelameili gas field is the first packaged gas field with developed reserves of more than 100 billion cubic meters in Xinjiang Oilfield. According to the geological features of strong heterogeneity, low porosity and low permeability, and complex water-gas relationship, and the large difference of dynamic characteristics, the effect factors on gas well deliverability were evaluated, based on the well test and production test data of 15 gas wells. The differences of gas well test and production test of volcanic gas reservoir were systematically analyzed based on the characteristics of gas well test and production test. It was believed that the initial deliverability of volcanic gas wells had little relation with rate maintenance capability. The open flow capacity of production test is strongly related to the formation flow capacity, so it is better to predict the gas deliverability, and production test data should be fully used during gas production allocation and plan adjustment. For fractured wells, the deliverability equation by gas well test is greatly different from production test data, and the main reason is the significant decrease of the conductivity with time, so the deliverability prediction need consider the crack effect.

     

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