共查询到18条相似文献,搜索用时 203 毫秒
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计算动态储量是气藏生产管理工作的一项基本内容,即时快速地计算出气藏的动态储量,有助于气藏开发规划和计算水侵量等工作。如何尽量准确地推测气藏动态储量,成为重要问题。从推导物质平衡方程着手,得到最优化目标函数,在确定初值的基础上利用最小二乘法计算,通过笔者自行编制的程序进行求解,迭代拟合出最佳参数,由此可得到动态储量。此法快速准确、清晰实用。 相似文献
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《中国石油和化工标准与质量》2013,(21)
气藏动态储量计算方法很多,包括物质平衡压降方法、产量累积法、FAST.RTA软件分析方法等,物质平衡压降方法对正常压力系统的气藏和异常高压系统的气藏都有相应的计算方法,FAST.RTA软件分析方法包含有传统压降分析、Fetkovich典型图版分析、Blasingame典型图版分析、Arps递减分析、流动物质平衡分析等多种分析方法。本文对以上几种方法进行了总结。 相似文献
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目前针对有水气藏地质储量的计算方法有很多种,如压降法、非线性物质平衡法、二元回归法、三元回归法等。其中,压降法是物质平衡法的特例。由于其是应用气藏的动态资料计算气藏的地质储量,故其计算结果是动态储量。但是由于有水气藏的储量计算中不能忽略水侵的影响,因此如果仍按普通气藏的处理方式来对待,必将引起较大的误差。本文对蜀南气矿的13个裂缝系统用压降法进行了储量计算,计算并总结了压降法在有水储量计算中的精度及其适用性。 相似文献
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天然气动态储量的计算方法很多,其中物质平衡法是广泛用于计算气藏(气井)单井动态储量最常用的方法,而压力恢复法也是计算气井动态储量的常用试井分析方法,它们有很多优点,其应用程度已被矿场实际证实,但它们都有各自限制的应用条件,很难说明哪种方法计算更可靠,特别是压力恢复法分析气井单井动态储量。将上述两种方法的结合建立多目标优化函数,使其计算储量趋于一致。该方法既能很好地应用压力恢复法,又能体现压物质平衡法,克服了各自的应用缺点,使得该方法适用范围更广,计算结果更可靠,特别对致密气藏具有更好的推广应用价值。通过实例气井动态储量进行的验证对比,说明该方法在理论上是合理的,通过实际验证是可行的。 相似文献
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《化学工程与装备》2020,(2)
准确计算低渗气藏单井控制储量对于气藏动态分析有着至关重要的作用。基于低渗气藏水平井渗流原理,考虑气水同产以及储层应力敏感效应,定义气水两相广义拟压力,建立了目前地层压力以及含水饱和度计算模型,结合水驱气藏物质平衡方程,求解得到低渗水驱气藏气水同产水平井单井控制储量计算方法。实例计算与对比发现,利用本文新模型计算结果与常规AIF、压降法、二元回归法以及三元回归法等方法计算单井控制储量结果绝对误差与相对误差均较小,验证了本文模型计算单井控制储量的准确性,同时也避免了复杂的水侵量计算过程,可以较为广泛的运用。多因素敏感性分析表明,随着水气体积比与应力敏感指数的逐渐增大,气井单井控制储量均表现出逐渐减小的趋势。该文研究可为低渗气藏产水气井单井控制储量的计算提供更加简明的思路。 相似文献
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气井产能方程能够直接描述井底流动压力和产量的关系。在建立气井产能方程的传统方法中,需要关井测试气藏的地层压力。本文不需要地层压力,只通过井底流压——产气量数据,利用线性回归方法,即可建立二项式产能方程。通过与常规的作图法和最小二乘法对比表明,本方法可靠。 相似文献
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一般来讲水平气井较垂直气井测试产量高、测试压差小,常规一点法计算水平气井无阻流量误差较大,无法准确评价其产能及指导其合理配产。通过文献调研发现2005年冯曦等人给出了垂直气井基于渗透率变化的改进一点法产能公式,本文在此基础上推导出水平气井改进一点法产能公式,并根据阿姆河右岸气田水平气井的实际测试情况,进行该进一点法产能公式计算无阻流量,与二项式产能公式计算无阻流量对比,平均绝对误差在10%以内,符合现场应用的需要,对水平气井产能研究具有一定的借鉴意义。 相似文献
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Won Mo Sung Sang Soo Ryou Seung Hun Ra Sun II Kwon 《Korean Journal of Chemical Engineering》2001,18(1):67-74
Donghae-1 gas field is located in Ulleung basin at offshore Ulsan, Korea, and its recoverable reserve is expected to be 170
to 200 BCF (Billion cubic feet). The field was confirmed to have potential gas and condensate reserves from an exploration
well in 1998 and two appraisal wells in 1999. This field consists of five zones, with an average reservoir depth of about
7,000 to 8,000 ft. In this study, we have performed an analysis of Gorae V DST (Drillstem test) #2 for testing B4 zone which
has the biggest reserves and Gorae V-1 DST #2 for testing B3 and B4 zones simultaneously among DST data achieved in a total
of 11 zones at three wells. The pressure and flow rate recorded from two tested zones were used to obtain the reservoir characteristics
and the well productivity. For pressure transient test data, we carried out the analysis of reservoir permeability, skin factor,
wellbore storage effect and barrier effect by using the Homer plot and type curve matching methods. Also, with the deliverability
test data, we estimated the absolute open flow which is the maximum flow rate of the gas well, and extracted the correlations
representing production rate with reservoir pressure. According to the analysis, Gorae V DST #2 of B4 zone has a permeability
and skin factor of 37 md (Millidarcy), 4.54, and Gorae V-1 DST #2 of B3 and B4 zones has 23 md and 21.0, respectively. It
was also found that the wellbore storage effect was not significant for the two wells tested. From the deliverability test
analysis, the AOF (Absolute open flow) of the Gorae V DST #2 is 152.8 MMSCFD (Million standard cubic feet per day), and that
of the Gorae V-1 DST #2 is calculated to be 68.2 MMSCFD. 相似文献
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Santanu Khataniar Vidyadhar A. Kamath Sunday D. Omenihu Shirish L. Patil Abhijit Y. Dandekar 《加拿大化工杂志》2002,80(1):135-143
Gas production from a hydrate reservoir involves decomposition of the solid hydrate. An analytical model is developed to predict reservoir performance for gas production by the depressurization method from a hydrate reservoir containing associated free gas. The model is developed by combining the intrinsic kinetics of hydrate decomposition, which is of interest to chemical engineers, with gas inflow performance relationship and material balance equations. An economic analysis model is also developed and incorporated with the reservoir performance model. These models are used in a case study of gas production from a hydrate reservoir in the Alaskan North Slope. The results show that gas transportation cost is the main factor controlling feasibility of commercial gas production. The hydrate zone contributes significantly to overall reservoir performance by arresting pressure decline and maintaining gas production rate. 相似文献
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