基于地质事件的Khafji油田砂岩储层PVT区域识别创新方法

K. Al-Qenae, Mohammed F. Alotaibi, L. Belazreg, Mohammad Akhtar
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摘要

在开始油藏模拟研究之前,应确保一整套流体分析数据的准备就绪,并检查其质量。这通常包括(但不限于)识别储层流体性质的任何垂直和横向变化。这些趋势的识别对油藏模拟工程的结果有很大的影响。最近,对中东某油田的棕色油藏进行了油藏模拟研究。该储层的地质特征是流体运移后发育的各种断层。这些断层的存在导致了连通的储层隔室。在分析PVT数据时,传统的工作流程不足以识别流体性质的任何趋势,也不足以解释储层流体性质的任何垂直和横向差异。本文介绍了在20世纪60年代为描述结构复杂砂岩储层的流体性质所做的工作,该储层的大部分井下流体样本都是在20世纪60年代收集的。不幸的是,当时大多数样品的采样深度都没有报告,也没有生产测井数据来识别大射孔段内的生产区域。实验室测量表明,不饱和油的变化可能与深度有关。样品来自三个地质分区;第1层、第2层和第3层,其中页岩层被认为是将第1层与其他层部分分开的。部分挑战在于,从不同的子层收集了大量样本,这增加了采样深度的不确定性。研究中的主要挑战是根据深度确定属性趋势。这种不确定性是通过集成地质参数开发一个迭代的“如果?”分析场景来解决的。建立了考虑储层流体运移或构造活动发生前初始条件的新模型。应用该方法,获得了油气性质随深度变化的清晰趋势,并清晰地观察到储层中存在一个PVT区。在此基础上,将一个具有溶液气油比随深度变化趋势的PVT区域应用到储层模型中,得到了可靠的动态模拟模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Innovative Approach to Identify PVT Regions in a Sandstone Reservoir in Khafji Field with Geological Events
Prior to initiating a reservoir simulation study, the readiness of a complete set of fluid analysis data should be assured and quality checked. This usually includes, but not limited to, identification of any vertical and lateral variation of reservoir fluid properties. Identification of these trends can have tremendous impact on the results of the reservoir simulation project. Recently, a reservoir simulation study was conducted on a brown reservoir in a Middle Eastern field. This reservoir is geologically characterized by various faults which were developed after fluid migration. The presence of these faults has resulted in communicated reservoir compartments. Application of traditional workflow in analyzing the PVT data was insufficient to identify any trend in the fluid properties or account for any vertical and lateral differences in reservoir fluid properties. This paper explains the work done to characterize fluid properties for a structurally complex sandstone reservoir, where most of the downhole fluid samples were collected in the 1960s. Unfortunately, the sampling depth was not reported for most of the samples at that time, with no production logging data available to identify the production zones within the large perforation interval. Laboratory measurements indicate under-saturated oil with variation that could be correlated with depth. Samples were obtained from three geological subzones; Layers-1, 2 and 3, where a shale layer is believed to be partially separating Layer 1 from the other layers. Part of the challenge is that a large number of samples were collected from different sublayers as a combination, which increases sampling depth uncertainty. Defining properties trend versus depth was the main challenge in the study. This uncertainty was addressed by developing an iterative "what-if?" analysis scenarios by integrating geological parameters. A new model was prepared that considered the initial conditions of the reservoir fluid before any migration or tectonic activities took place. Applying the proposed approach, resulted in a clear trend of hydrocarbon properties variation with depth and provided a clear observation of the presence of one PVT region in the reservoir. Based on the results of this study, one PVT region with a solution gas-oil ratio trend versus depth was applied into the reservoir model, which resulted in a reliable dynamic simulation model.
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