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A Petrophysical Model to Estimate Relative and Effective Permeabilities in Hydrocarbon Systems and to Predict Ratios of Water to Hydrocarbon Productivity

机译:岩石物理模型来估算烃体系中的相对有效渗透性及其预测水与烃生产率的比例

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Permeability estimates from petrophysical interpretations rely mostly on relations between porosity and irreducible water saturation, for example using the approach developed by Timur (1968). If core data are available for calibration, it is common that the transform used can be quite reliable. However, relative permeabiility estimates require quantification of water saturation greater than irreducible saturation. In a previous publication by the authors (Holmes, et al, 2009), methodology was presented to distinguish rocks at irreducible saturation from those that contain mobile water. The technique involves a modified interpretation of porosity/saturation cross plots to identify levels at irreducible water saturation using a Buckles (1965) relationship. Once this data trend has been identified, water saturation at any given data point can be compared with theoretical irreducible saturation. Values of water saturation above irreducible water saturation indicate the presence of mobile water. Using a representative relative permeability curve, or a reservoir-specific relative permeability curve, relations can be established between water saturations above irreducible and the accompanying relative permeability, both to hydrocarbons and water. Once this is available, effective permeabilities to each phase can be calculated level-by-level. The procedure involves comparing differences between water saturation and irreducible water saturation with measured relative permeabilities to both wetting and non-wetting phases, expressed as exponential equations. Effective permeabilities are then available as the product of relative permeability and log-estimated permeability. By factoring in mobility ratios of hydrocarbons and water, it is then possible to estimate profiles of water cuts in oil/water systems, or barrels of water per million cubic feet of gas (Bbl/MMCFG) in gas/water systems. Examples are presented for both oil/water and gas/water systems, showing good correlation with fluid production from well tests.
机译:岩石物理解释的渗透率估计主要是关于孔隙度和不可挽回的水饱和度的关系,例如使用Timur(1968)开发的方法。如果核心数据可用于校准,则常常使用的变换可以是非常可靠的。然而,相对渗透率估计需要量化大于不可约饱和的水饱和度。在上一篇的作者(Holmes,等,2009)的出版物中,提出了方法,以区分岩石在不可约来自含有移动水的饱和度。该技术涉及使用搭扣(1965)的关系来识别不可缩短的水饱和度的孔隙率/饱和交叉曲线的修改解释。一旦确定了这种数据趋势,就可以将任何给定数据点的水饱和与理论不可缩短的饱和度进行比较。水饱和值的值以上不可缩续的水饱和度表明了移动水的存在。使用代表性相对渗透率曲线或储液特异性相对渗透性曲线,可以在不可缩续的水饱和度和伴随的相对渗透率之间建立关系,碳氢化合物和水。一旦提供这一点,可以计算每个阶段的有效允许性级别级别。该方法涉及将水饱和度与不可缩续的水饱和度的差异进行比较,以测量润湿和非润湿相的相对渗透性,表示为指数方程。然后可以作为相对渗透性和逻辑估计渗透率的产品作为乘积的有效渗透性。通过考虑烃和水的迁移率比,然后可以估计油/水系统中的水切口的曲线,或气体/水系统中每百万立方英尺的气体(BBL / MMCFG)的水桶。提出了用于油/水和气体/水系统的实例,从井测试中显示出与流体生产的良好相关性。

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