首页> 外文期刊>Journal of porous media >UPSCALING GAS-WATER RELATIVE PERMEABILITY MEASUREMENTS FROM AMBIENT TO RESERVOIR CONDITIONS
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UPSCALING GAS-WATER RELATIVE PERMEABILITY MEASUREMENTS FROM AMBIENT TO RESERVOIR CONDITIONS

机译:升高的气体水相对渗透率测量范围从环境到储层条件

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A model that can accurately upscale ambient relative permeability curves to reservoir conditions is of great importance to the oil/gas industry. Whereas ambient data is easily accessible, the cost of generating gas-water relative permeability at reservoir conditions [high pressure, high temperature (HPHT)] is quite high and technically complicated. Under these extreme conditions gas exhibits a great change in its physical properties, thus affecting gas solubility in liquid phases and its interaction with solid phases (mineral grains). Therefore, utilizing ambient gas relative permeability data in reservoir simulation studies may result in unexpected production profiles. Consequently, reservoir engineers may need to spend many hours on simulations in order to obtain acceptable relative permeability curves through reservoir simulation, history matching processes. In this study, two sets of unsteady state relative permeability data will be obtained, compared, and analyzed. The first set was obtained under ambient conditions and the second set was obtained under reservoir conditions (HPHT). The main objective of this research work is to develop an analytical model to predict reservoir condition relative permeability data based upon ambient permeability data. A Corey model (power model) was used to match ambient relative permeability curves with reservoir condition curves. By modifying the power parameters in Corey correlation, both wetting and nonwetting phase relative permeability curves were able to be matched. The matching parameter can thus be used to generate reservoir relative permeability curves for reservoir sandstone from the experiments conducted under ambient conditions. Relative permeability curves were also investigated on full reservoir simulation models using a reveal simulator. The results indicated that recovery efficiency decreases by nearly 20% if ambient relative permeability data were used instead of reservoir condition relative permeability.
机译:一种可以准确地高档环境相对渗透率曲线到储层条件的模型对于石油/天然气行业来说是非常重要的。虽然环境数据易于接触,但在储层条件下产生气体水相对渗透性的成本[高压,高温(HPHT)]非常高,技术上复杂。在这些极端条件下,气体在其物理性质上表现出很大的变化,从而影响液相中的气体溶解度及其与固相的相互作用(矿物颗粒)。因此,利用储层模拟研究中的环境气体相对渗透性数据可能导致意外的生产型材。因此,水库工程师可能需要在模拟上花费数小时,以便通过储存器模拟,历史匹配过程获得可接受的相对渗透曲线。在本研究中,将获得两组不稳定状态相对渗透性数据,并分析并分析。在环境条件下获得第一组,并在储层条件下获得第二组(HPHT)。本研究工作的主要目的是开发一个分析模型,以预测基于环境渗透性数据的储层条件相对渗透性数据。 Corey Model(电力模型)用于匹配具有储存条件曲线的环境相对渗透性曲线。通过修改Corey相关中的功率参数,能够匹配润湿和非润湿相位相对渗透性曲线。因此,匹配参数可用于从环境条件下进行的实验产生储层砂岩的储层相对渗透曲线。还使用露出模拟器对完整的储层模拟模型进行了相对渗透性曲线。结果表明,如果使用环境相对渗透性数据代替储层条件相对渗透率,则恢复效率降低近20%。

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