A Thorough Investigation of PVT Data and Fluid Model for Giant Onshore Field, Hidden Lateral Trends Identified

S. Meziani, S. Tahir, Tayba Al Hashemi
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Abstract

A best practice for PVT modeling and reliability analysis had been developed in order to characterize complex giant oil reservoir fluid model, oil in place assessment and to optimize full field development and management plan for EOR studies. This study builds on previous studies done by various parties but includes recent data and revised objectives. The primary objectives are: (1) to develop understanding of fluid properties across the reservoir and the influence of separator conditions on formation volume factor. (2) to generate PVT models for the reservoir’s units, accounting for lateral and vertical variations in properties and including the ability to predict the performance of gas injection schemes 3) to estimate the potential for asphaltene precipitation and recommend further work to improve the reliability of the reservoir simulation model. The study is divided into three phases: (1) Review of previous work and conduct Data QC of PVT data. (2) Establish lateral and areal PVT property trends and EoS fluid model. (3) Historical separator conditions issues, reserves and oil in place volumes. The undertaken review of the previous EOS modeling studies had resulted in very different fluid models, each tailored slightly to focus on the specific priorities of the different studies. In this study, the understanding of the fluid properties and their distribution within the reservoir has been achieved by: Using a thorough QC process which rejected unsuitable sample dataIdentifying C6+ mass content as the reliable indicator of the fluid compositionGenerating lateral and cross-section fluid property plots to identify regional differencesGenerating C6+ mass content versus depth plots to define compositional gradients and property trends. Besides, analysis of the later MDT samples did not appear to have been used in identifying fluid property trends in any of the previous reviews. However, after Data QC, 18 PVT samples and reports were chosen to determine the compositional trends, 16 to determine property trends and 2 were identified for development of the EoS fluid model. Therefore, vertical and lateral fluid property gradients have been identified consistent with the reservoir structural and stratigraphy model. The initial GORs in the layer-cake South/Central regions fall between Rsi= 816 scf/bbl at the top (7551 ft TVDss) down to Rsi=582 scf/bbl near the OWC (8245 ft TVDss). A similar trend is observed in the northern clinoform region, but 106.6 ft deeper. None of the earlier PVT studies had identified lateral trends within this complex reservoir. The main uncertainty in the fluid description is a lack of data below 7950 ft TVDss.
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对大型陆上油田PVT数据和流体模型的深入研究,发现了隐藏的横向趋势
PVT建模和可靠性分析的最佳实践已经开发出来,以表征复杂的巨型油藏流体模型,进行油品评估,并优化全油田开发和管理计划,以进行EOR研究。这项研究建立在以前各方所做的研究的基础上,但包括最近的数据和修订的目标。主要目标是:(1)了解整个储层的流体性质以及分离器条件对地层体积系数的影响。(2)为储层单元生成PVT模型,考虑属性的横向和纵向变化,并包括预测注气方案性能的能力;(3)估计沥青质沉淀的潜力,并建议进一步的工作来提高储层模拟模型的可靠性。研究分为三个阶段:(1)回顾前期工作,对PVT数据进行数据QC。(2)建立横向和面向PVT物性趋势和EoS流体模型。(3)历史分离器条件问题、储量和原地油量。对以前的EOS模型研究进行的审查产生了非常不同的流体模型,每个模型都略微调整,以侧重于不同研究的具体优先事项。在本研究中,通过以下方法对储层内流体性质及其分布进行了了解:采用彻底的QC过程,剔除了不合适的样品数据;确定了C6+质量含量作为流体成分的可靠指标;绘制了横向和截面流体性质图,以识别区域差异;绘制了C6+质量含量与深度图,以确定成分梯度和性质趋势。此外,在以前的任何审查中,对后期MDT样品的分析似乎都没有用于确定流体性质趋势。然而,在数据QC之后,选择了18个PVT样本和报告来确定成分趋势,16个样本来确定性质趋势,2个样本被确定用于开发EoS流体模型。因此,确定了与储层构造和地层模型相一致的垂向和侧向流体性质梯度。层状饼状油藏南/中部区域的初始GORs在顶部(7551英尺的地层深度)的Rsi= 816立方英尺/桶之间,而在OWC附近(8245英尺的地层深度)的Rsi=582立方英尺/桶之间。在北部斜形区也观察到类似的趋势,但深度为106.6英尺。早期的PVT研究都没有确定该复杂油藏的横向趋势。流体描述的主要不确定性是缺乏7950英尺TVDss以下的数据。
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