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Quantitative Analysis of Deliverability, Decline Curve, and Pressure Tests in CO2 Rich Reservoirs

机译:富含CO2的油藏的可输送性,下降曲线和压力试验的定量分析

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This paper investigates the effect of higher concentrations (0-100%) of CO2, H2S, and N2 on natural gas well deliverability,reserve estimation, and pressure test analysis quantitatively.Physical properties of natural gases such as viscosity andcompressibility are corrected according to the concentrationsof the contaminant gases such as CO2, N2, and H2S present init. These contaminant gases have profound impact onpressure test analysis. The Carr et all1 viscosity correctionchart allows adjusting the viscosity up to 15% concentrationof these contaminant gases. However, Wichert and Aziz2compressibility correction chart allows up to 80%concentration of the CO2 and H2S.Tiab3 developed an analytical method to estimatepseudopressure function for 0-100% combined-concentrationof CO2, H2S, and N2. His pseudopressure was first re-plottedto simplify the procedure and then it was used to analyze thedeliverability, pressure tests, and decline curvesquantitatively. The analysis was performed with Carr et all1viscosity correction chart, pure CO2 properties, and then withTiab's corrected pseudopressure. Pure CO2 properties wereused due to the fact that the sample data has 98.256% CO2.During this study it was observed that the compressibilityfactor has a little effect on analysis since it is a volumerelatedproperty. Viscosity, however, has the largest effect onthe analysis since pressure is transmitted through the fluid inthe porous media and viscosity works against it. It was alsoobserved that the numerical method of calculatingpseudopressure function introduced successive error in theanalysis. Number of pressure data points also contributed tothe error in numerical integration of the pseudopressurefunction. Analysis of field as well as simulated examplesresulted an absolute error range of 13-75% in thepermeability estimation in pressure tests, 77% indeliverability tests, and 20-95% with pressure derivative.Error in AOF was observed as 15% and as high as 32 %in reserve estimation.
机译:本文研究了较高浓度(0- 100%)的CO2,H2S和N2对天然气井产能的影响, 进行储量估算,并进行压力测试定量分析。 天然气的物理特性,例如粘度和 可压缩性根据浓度进行校正 存在于其中的污染物气体,例如CO2,N2和H2S 它。这些污染物气体对 压力测试分析。 Carr et all1粘度校正 图表允许将粘度调整到最高15%的浓度 这些污染物气体。但是,Wichert和Aziz2 压缩率校正图允许高达80% 二氧化碳和硫化氢的浓度。 Tiab3开发了一种分析方法来估算 伪压力函数,用于0-100%的混合浓度 CO2,H2S和N2的含量。他的伪压力首先被重新绘制 为了简化程序,然后将其用于分析 输送能力,压力测试和下降曲线 数量上。分析是在Carr et all1进行的 粘度校正图,纯CO2性质,然后 提亚矫正后的假压力。纯粹的二氧化碳性质是 之所以使用,是因为样品数据中的CO2含量为98.256%。 在这项研究中,观察到可压缩性 因子与体积相关,因此对分析影响不大 财产。但是,粘度对 由于压力是通过流体中的压力传递而进行的分析 多孔介质和粘度对其不利。那也是 观察到数值计算方法 伪压力函数引入了连续误差 分析。压力数据点的数量也有助于 伪压力数值积分中的误差 功能。现场分析和模拟实例 导致绝对误差范围为13-75% 压力测试中的渗透率估算,其中77% 交付能力测试,以及20%至95%的压力导数 观察到AOF的误差为15%,最高为32% 在储量估算中。

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