下法尔斯稠油油藏可动油识别与黏度评价第九届中东地球科学会议,2010。

K. Ahmed
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摘要

储层流体类型是完井和油田开发规划的关键参数之一。电阻率和核测井可以提供流体类型的基本信息,而井下压力-体积-温度(PVT)采样则可以获得详细但非连续的流体剖面。近年来,核磁共振测井技术的发展为流体的连续识别提供了极大的帮助。科威特Lower Fars组是一种含稠油的浅层松散砂岩储层。油田的油粘度在垂直和横向上从几十到几千厘泊不等。在这种低压油藏中,使用电缆地层测试器进行pvt级流体取样非常具有挑战性和耗时。先进的核磁共振测井技术在识别可动油和提供连续的油粘度剖面方面取得了成功。稠油砂中粘土的存在影响了流体的识别,因为粘土结合水和稠油核磁共振信号叠加在快弛豫域中。标准扩散法在T2早期域分辨率较差,解释受限制扩散的影响。先进的核磁共振测井工具提供了多个径向深度的测量,并且发现扩散测量对于识别此类环境中的可动油非常有用。采用先进的核磁共振测井与核测井和电阻率测井相结合的综合方法来识别可动油和流体类型变化,并估计连续的油粘度剖面。核磁共振站测量有助于提高信噪比,提高测井解释的可信度。使用这种方法估计的粘度分布与现场可用的PVT样品分析非常吻合。下一步是优化工作流程,以产生一致且更定量的粘度结果,这可能需要对Lower Fars油样进行实验室核磁共振测量和岩心校准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Movable oil identification and viscosity estimation in Lower Fars heavy-oil reservoir: A case study. 9th Middle East Geosciences Conference, GEO 2010.
Reservoir fluid typing is one of the key parameters in well completion and field development planning. While the resistivity and nuclear logs provide basic information about fluid type, detailed but non-continuous fluid profiling is obtained from down-hole pressure-volume-temperature (PVT) sampling. The recent advancement in nuclear magnetic resonance (NMR) logging helps immensely for the continuous fluid identification. The Lower Fars Formation in Kuwait is a shallow unconsolidated sandstone reservoir containing heavy oil. The oil viscosity in the field varies from tens to thousands of centipoises both vertically and laterally. In-place PVT-quality fluid sampling with wireline formation testers in this low-pressure reservoir is quite challenging and time consuming. The deployment of advanced NMR logging technique was successful in identifying movable oil and providing a continuous oil viscosity profile. The presence of clay within heavy-oil sand affects fluid identification as the clay-bound water and heavy-oil NMR signals overlay and occur at fast relaxation domain. The standard diffusion method has poor resolution at early T2 domain and interpretation suffers from the effect of restricted diffusion. The advanced NMR logging tool provides measurement at multiple radial depths and the diffusion measurement is found useful in identifying movable oil in such environments. An integrated approach combining advanced NMR log with the nuclear and resistivity logs is used to identify mov-able oil and fluid-type variation and to estimate a continuous oil viscosity profile. NMR station measurements helped to enhance signal to noise ratio to increase confidence in log interpretation. The viscosity profile estimated using this approach correlates quite well with the PVT sample analysis available in the field. The next logical step is the optimization of workflow to produce consistent and more quantitative viscosity results, which may require lab NMR measurement of Lower Fars oil samples and core calibration.
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