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碱驱油藏流线数值试井解释方法研究
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摘要
流线数值试井理论是流线算法与数值试井理论的完美结合,成功的实现了计算速度与计算精度的最佳匹配,具有长远的理论意义和现实的使用价值。本文创造性的将流线数值试井理论应用于碱驱油藏,发展了碱驱油藏流线数值试井理论和方法。该方法既考虑了油水两相流、生产历史、多井干扰等复杂因素的影响,又能反映碱驱、碱复合驱过程中各种主要驱油机理(如降低界面张力、流度控制等)和物化现象(如碱耗、残余饱和度和相对渗透率的变化、聚合物溶液的特性等)。文中建立了从常规水驱油藏到碱驱油藏,直至碱/聚合物复合驱油藏的一整套流线数值试井解释模型。模型由生产阶段的渗流数学模型和测试阶段的流线数学模型组成:前者为简化的黑油模型,用于模拟整个生产历史过程,采用在网格系统隐式求解压力,沿流线显式求解饱和度和各组分浓度的方法;后者为流线模型,用于求取关井测试阶段的压力响应,沿测试井周围每一条流线建立的数学方程联立求解。通过求解不同驱替方式的流线数值试井解释模型,分别对水驱、碱驱、碱复合驱进行了模拟研究,得到了相应的饱和度分布、碱浓度分布和聚合物浓度分布,对比分析了三种驱替方式中测试井的压力响应特征,同时研究了注碱时间、注碱段塞、注碱浓度等对测试井压力响应的影响特征。论文基于遗传算法的多参数试井解释方法编制了流线数值试井解释软件,并成功的应用于羊三木油田馆II油组,不仅得到了研究区块的渗透率分布和其它常规试井解释参数,还得到了符合实际的剩余油分布、碱浓度分布和聚合物浓度分布,进一步验证了所建立理论与方法的正确性。
Streamline numerical well test interpretation theory is the perfect combination of streamline algorithm and numerical well test interpretation theory. It has realized the best matching of computing speed and precision successfully, thus has a long-term theoretical and practical significance. Streamline numerical well test interpretation theory and method is applied in alkaline flooding reservoirs in a creative way and is well developed in this thesis.This method not only can take several complicated influential factors into consideration , such as, oil-water two-phase flow, production history and multi-well interference, etc, but also can reflect various main mechanisms of enhancing oil displacement (such as, reduction of interfacial tension, mobility control of drive fluid, etc) and physicochemical phenomena(such as, consumption of alkaline, variation of each phase residual saturation and relative permeability, characteristics of polymer solution, etc). Moreover, this thesis also establishes a series of streamline numerical well test interpretation models from water flooding reservoirs to alkaline flooding reservoirs and alkaline/polymer combination flooding reservoirs. The above models all mainly consist of two parts, one is seepage flow mathematical model in the production stage and the other is streamline mathematical model in the testing stage. The former is actually a simplified black oil model, which is used to simulate the whole process of production history, and its solution is suitable to the way of implicit solution method for pressure in grid system and explicit solution method for saturation and component concentration along streamline; the latter is a streamline model composed of all the mathematical equations established for each streamline, which is used to obtained the pressure response features of testing well during the closed time. On the basis of the above theories studying, this thesis simulates several displacement processes and effects under different circumstances of water flooding, alkaline flooding and combination flooding respectively by solving different types of streamline numerical well test interpretation model, and obtains a series of calculation results(such as, saturation distribution, alkaline concentration distribution, polymer concentration distribution, etc), then analyzes the pressure response features of testing well in water flooding , alkaline flooding and combination flooding reservoirs comparatively, furthermore, this thesis also studies on influential characteristics of the pressure response of testing well by the time of alkaline-injection, alkaline-injection slug and alkaline-injection concentration. At last, by making use of multi-parameter well test interpretation technology based on the genetic algorithm, the streamline numerical well test interpretation method which is studied in this thesis is successfully applied in GuanII block in Yangsanmu oilfield. As a result, the thesis obtains not only permeability distribution of well location and other conventional interpreting parameters of testing well, but also the distribution of remaining oil, alkaline concentration and polymer concentration through the establishment of a model consistent with the reservoirs actual situation, and the whole results future identify the practicability and validity of this theory and method.
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