Predicting In-Situ Physical Properties for Gas Condensates From Fluid Pressure Gradients

L. T. Bryndzia, M. Kittridge
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Abstract

New hybrid EOS-PVT models have been developed for estimating in-situ fluid properties for retrograde gas condensate fluids. The hybrid models are based on tuned equation of state (EOS) properties for a globally distributed set of quality-controlled (QC) pressure-volume-temperature (PVT) analyses of gas condensates in which the condensate-to-gas ratio (CGR) ranges from ~5 to 350 bbl/MMscf and for which in-situ fluid densities range from ~0.2 to 0.6 g/cm3. The hybrid EOS-PVT models are based on the observation that in-situ fluid densities derived from measured fluid pressure gradients (FPG) are highly correlated with EOS-derived in-situ fluid densities obtained from tuned EOS models and QC PVT data. Using fluid density values calculated using in-situ FPG data, it is now possible to estimate a variety of gas condensate fluid properties such as viscosity, mole fraction of methane (XCH4), density, acoustic velocity, and adiabatic fluid moduli, the latter being a critical input for Gassmann fluid substitution models. The utility of the new hybrid EOS-PVT models lies in their ability to facilitate rapid evaluation of stranded gas resources without having to take a fluid sample for laboratory PVT analysis. Properly executed FPG data also have great utility as a reliable QC for laboratory-measured PVT properties. We present hybrid EOS-PVT models for CGR, viscosity, in-situ fluid density, and acoustic velocity for a broad suite of gas condensates. A significant contribution of this work is the development of a new fluid acoustic properties model that enables estimation of the adiabatic fluid modulus (Kad) for retrograde gas condensates. Using predictive models reported here for fluid density [ρ] and velocity [Vp], the adiabatic fluid modulus is easily calculated. The model reported for fluid velocity was validated with direct measurements of fluid acoustic velocity on a live sample, at in-situ conditions, from the HP/HT Shearwater Field in the Central North Sea (CNS).
利用流体压力梯度预测天然气凝析油的原位物理性质
开发了一种新的混合EOS-PVT模型,用于逆行凝析液的原位流体性质估计。混合模型基于调谐状态方程(EOS)属性,用于全球分布的一组质量控制(QC)压力-体积-温度(PVT)分析,其中凝析油的凝析油比(CGR)范围为~5至350桶/MMscf,现场流体密度范围为~0.2至0.6 g/cm3。混合EOS-PVT模型基于以下观察结果:测量流体压力梯度(FPG)得到的原位流体密度与调整后的EOS模型和QC PVT数据得到的EOS得到的原位流体密度高度相关。利用现场FPG数据计算的流体密度值,现在可以估计各种凝析流体性质,如粘度、甲烷摩尔分数(XCH4)、密度、声速和绝热流体模量,后者是Gassmann流体替代模型的关键输入。新型混合型EOS-PVT模型的实用性在于,它们能够快速评估滞留天然气资源,而无需采集流体样本进行实验室PVT分析。正确执行的FPG数据作为实验室测量PVT特性的可靠QC也具有很大的实用性。我们提出了适用于多种气体凝析油的CGR、粘度、原位流体密度和声速的混合EOS-PVT模型。这项工作的一个重要贡献是开发了一种新的流体声学特性模型,可以估计逆行气体凝析油的绝热流体模量(Kad)。利用本文报道的流体密度[ρ]和速度[Vp]的预测模型,可以很容易地计算出绝热流体模量。在北海中部(CNS)高压/高温Shearwater油田的现场条件下,通过直接测量流体声速度,验证了所报告的流体速度模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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