%0 Journal Article %T 元坝高含硫气藏水平井产能预测
Horizontal Well Productivity Prediction of High Sulfur Gas Reservoir in Yuanba %A 杨丽娟 %A 温善志 %A 高顺华 %A 荀威 %A 张明迪 %A 王本成 %J Advances in Geosciences %P 897-906 %@ 2163-3975 %D 2020 %I Hans Publishing %R 10.12677/AG.2020.1010088 %X 国内外学者对水平井产能做了大量的研究,提出了一系列产能计算公式,但应用到元坝高含硫酸性气藏的水平井产能预测时误差较大。为了更准确地评价元坝高含硫气藏水平井产能,通过对比分析各产能公式的推导原理、简化条件、优缺点及适用范围,并结合元坝长兴组储层特征,优选出了陈元千公式;在此基础上考虑酸性气体组分对偏差系数和粘度的影响,对产能方程进行了修正。运用修正后的产能方程,对元坝长兴组各水平井进行了产能核算,并与实测二项式产能进行了对比;结果表明,修正后的水平井产能方程比未经修正的方程能更准确地预测产能,更适用于元坝长兴组气藏高含硫气藏水平井的产能预测;为元坝后期调整方案设计、实现长兴组气藏高效开发提供了支撑。
Domestic and foreign scholars have made a lot of research on the horizontal well productivity, and put forward a series of production capacity formula. But the error is large when applied to predict productivity of horizontal well in Yuanba Sour gas reservoir with high sulfur content. In order to evaluate the horizontal well productivity of high sulfur gas reservoir in Yuanba more accurately, through the comparison and analysis of the derivation principle, simplification condition, advantages & disadvantages and application scope of each productivity formula, as well as reservoir characteristics of Changxing Formation in Yuanba, Chen Yuanqian’s formula was optimized. Considering the effects of acid gas composition on deviation factor and viscosity, productivity formula was modified. Using the modified productivity equation, the production of the horizontal wells in Changxing formation of Yuanba was forecasted and compared with the measured binomial productivity. The results show that the modified horizontal well productivity equation can predict the open flow more accurately than the unmodified equation, and it is more suitable for the prediction of horizontal well production in high sulfur gas reservoir of Changxing formation. It provides support for the later adjustment design of Yuanba reservoir and the efficient development of Changxing formation gas reservoir. %K 高含硫,水平井,产能方程优选,偏差因子,粘度,产能预测,元坝
High Sulfur %K Horizontal Well %K Productivity Equation Optimization %K Deviation Factor %K Viscosity %K Productivity Prediction %K Yuanba %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=38072