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Optimizing Hydrocarbon Pay Estimates Using the Magnetic Resonance Imaging Logs in Development Wells of El Furrial Field,East Venezuela

机译:优化碳氢化合物支付估计,使用El Furrial领域的开发井,East委内瑞拉的磁共振成像日志

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Optimizing production in mature fields depends greatly on proper reservoir characterization.After a certain period of production,a reservoir may exhibit changes in its properties because of changes in formation water salinity arising from water injection,left-behind residual oil in the rock,and changes in pressure regime.These factors,combined with complexities in the original reservoirs properties,such as rapid variations in permeability and oil viscosity,strongly affect the degree of uncertainty in evaluating and predicting productive zones when using only conventional logging methods.These variations affect the responses of most conventional logs.Consequently,traditional log analysis models may fail to provide realistic evaluation results and may not achieve appropriate production forecasts.Common examples of such failures have been recognized when producing high water content from a zone believed to be hydrocarbon or when perforating an interval that does not produce.New logging technologies,such as magnetic resonance imaging(MRI),demonstrate promising formation evaluation results in mature fields.The MRI technology helps to properly distinguish candidate production zones and provide key in-situ reservoir properties,including hydrocarbon type,reservoir quality in terms of permeability and porosity,and barrier zones.The ability of MRI to determine oil viscosity influences the selection and elimination of zones to be produced based on its fluids mobilities.Thus,MRI serves well in the selection of hydrocarbon producing intervals.This paper discusses the effectiveness of applying the MRI technology in characterizing the reservoir fluid properties in the El Furrial field,East Venezuela.It also highlights the value of this technology in minimizing the cost of mis-identified zones for production or testing by identifying best candidate intervals.Verification of the MRI results with actual production testing and/or formation pressure measurements will be demonstrated in the article.
机译:优化成熟领域的生产取决于适当的储层表征。在一定的生产期间,储层可能在其性质的变化下表现出从注水中产生的地层水盐的变化,岩石中的留下残余油以及变化在压力制度中。这些因素,与原始储层性质的复杂性相结合,例如渗透性和油粘度的快速变化,在仅使用常规测井方法时强烈影响评估和预测生产率的不确定性程度。这些变化会影响响应在大多数常规日志中,传统的日志分析模型可能无法提供现实的评估结果,并且可能无法获得适当的生产预测。所以在从被认为是碳氢化合物或穿孔时的区域产生高水含量时已经识别出这种故障的例子。不产生的间隔.New Logging Te诸如磁共振成像(MRI)的CHNOLOGIES,证明了有前途的形成评估结果在成熟的领域。MRI技术有助于适当地区分候选生产区域,并提供碳氢化合物类型,渗透性储层质量的关键储层性质,包括碳氢化合物型,以及渗透性方面的储层质量孔隙度和屏障区域。MRI确定油粘度的能力影响了基于其流体迁移率的选择和消除区产生的区域。本文讨论了申请的有效性East委内瑞拉的储层液体特性的MRI技术也强调了通过识别最佳候选间隔来最小化生产或测试的错误识别区域的成本。MRI结果的验证利用实际生产测试和/或形成压力测量将在这篇文章。

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