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首页> 外文期刊>SPE Reservoir Evaluation & Engineering >Definitive Petrophysical Evaluation of Thin Hydrocarbon Reservoir Sequences
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Definitive Petrophysical Evaluation of Thin Hydrocarbon Reservoir Sequences

机译:薄层油气藏层序的明确岩石物理评价

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The petrophysical evaluation of thinly-bedded sand/shale sequences is strongly dependent on the way in which layered and dispersed shales are taken into account. There are two underpinning issues: the recognition of thin bed geometries and the estimation of shale content from lithology logs. The first of these is managed through a scenario approach, whereby different downhole scenarios are set out according to specified ranges of bed thickness. Each range has its own interpretation protocol. The second issue relates to the inherent overestimation of clay-mineral volume fraction by shale indicators and its impact on the petrophysical evaluation of thinly-bedded sand porosity. This shortcoming is managed by applying a validated scaling factor to log-derived estimates of shale volume fraction so that these become workable estimates of clay-mineral fraction for the porosity evaluation of sand layers. Both these problems become more acute for thinner beds. These two key issues are addressed conjunctively through interpretive workflows, each of which relates to a discrete range of bed thickness and uses fit-for-purpose petrophysical data sets. In particular, the multicomponent induction log is adopted as a pivotal technology for the evaluation of sand resistivity within thinly-bedded sand/shale sequences. The objective is to achieve a sound petrophysical interpretation for each downhole situation. Therefore, groundtruthing through core data is advocated where this allows the shale problem to be managed better. The outcome is a systematic approach to thin-bed evaluation, based on prescribed data inputs that optimize project effectiveness. The benefits are illustrated through case histories that demonstrate a securable upside in projected hydrocarbon volumes.
机译:薄层砂岩/页岩层序的岩石物理评价在很大程度上取决于考虑分层和分散页岩的方式。存在两个基本问题:薄层几何结构的识别和根据岩性测井估算页岩含量。其中的第一种是通过情景方法进行管理的,其中根据指定的床层厚度范围列出了不同的井下情景。每个范围都有其自己的解释协议。第二个问题涉及页岩指标对粘土矿物体积分数的固有高估及其对薄层砂岩孔隙度岩石物理评价的影响。通过将经过验证的比例因子应用于对数推导的页岩体积分数估算值,可以解决此缺点,从而使这些值成为用于砂层孔隙度评估的粘土矿物分数的可行估算值。对于更薄的床,这两个问题变得更加严重。这两个关键问题通过解释性工作流程共同解决,每个工作流程都涉及离散的床层厚度范围,并使用适合目的的岩石物理数据集。特别是,采用多分量感应测井作为一项关键技术,用于评估薄层砂/页岩层序内的砂岩电阻率。目的是针对每种井下情况实现合理的岩石物理解释。因此,提倡通过核心数据进行实地分析,以便更好地管理页岩问题。结果是基于优化项目有效性的规定数据输入的一种系统的薄床评估方法。案例历史证明了其好处,这些案例历史证明了预计的碳氢化合物产量具有一定的上升空间。

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