科威特北部上部Burgan地层水驱后脉冲中子测井油藏监测

Yonghwee Kim, Khaled Jamal Ibrahim Al-Quoud, M. Sahib, E. Sergeev
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引用次数: 0

摘要

作业者通常采用水驱作为二次采油方法,以保持油藏压力并驱替剩余油以提高产量。在北科威特Raudhatain油田,污水和海水被注入Upper Burgan地层,该地层包含多层砂岩储层。基于井的监测,以了解水驱后油气分布,对于新射孔至关重要。套管井的地层饱和度监测广泛采用脉冲中子测井技术。脉冲中子测井提供基于时间的热中子捕获截面(即西格玛测井)和基于能量的元素比(即碳/氧(C/O)测井)。地层水的盐度必须已知且很高,才能使用sigma数据量化地层流体。当地层水的矿化度由于流出物和海水注入而成为一个变量时,基于sigma对数的饱和度分析就不适用了。需要一种与盐度无关的测量方法来区分油和水;因此,必须使用C/O测井来获得混合含盐量油藏的饱和度剖面。Raudhatain油田Upper Burgan地层初始水盐度较高(约220-240 kppm NaCl当量);因此,含水饱和度计算是用西格玛对数进行的。在开始注入污水和海水(混合水盐度范围从50 kppm到170 kppm)后,必须使用C/O测井来评估地层油体积。结合井特异性蒙特卡罗中子粒子(MCNP)模型和两个检测器平衡的C/O数据集来计算油饱和度。我们展示了多井实例,描绘了注入后油藏条件下基于井的地层饱和度剖面。通过对比sigma- based和C/ based饱和度分析,发现了水淹区。延时sigma数据集突出了注水对热中子捕获截面测量的影响。此外,利用多探测器、基于时间的核属性来评估地层性质和含油气砂的存在。在脉冲中子测井解释之后,进行了后续的加射孔作业;因此,旁路或剩余的油气被成功开采。在存在混合水矿化度的区域,评估当前地层流体分布具有挑战性。综合σ、C/O和辅助脉冲中子测井,确定了剩余地层油的分布和体积。优化的射孔策略可以最大限度地提高现有井的产油量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Post-Waterflooding Oil Reservoir Surveillance Using Pulsed Neutron Well Logging in Upper Burgan Formation, Northern Kuwait
Operators commonly adopt waterflooding as a secondary recovery method to maintain reservoir pressure and displace remaining oil for production enhancement. Effluent and seawater have been injected into the Upper Burgan formation, which contains multiple layers of sand reservoirs, in the North Kuwait Raudhatain field. Well-based surveillance to understand post-waterflooding hydrocarbon distribution is essential for new perforation additions. Formation saturation monitoring for cased wells is widely performed with pulsed neutron well logging techniques. Pulsed neutron well logging provides time-based thermal neutron capture cross-section (i.e., sigma log) and energy-based element-specific ratios (i.e., carbon/oxygen (C/O) logs). Formation water salinity must be known and high to use sigma data to quantify formation fluids. When formation water salinity becomes a variable due to effluent and seawater injection, sigma log-based saturation analysis is not applicable. A salinity-independent measurement that distinguishes between oil and water is required; consequently, a C/O log must be used to obtain saturation profiles in mixed-water salinity reservoirs. The Upper Burgan formation’s initial water salinity in the Raudhatain field is high (i.e., approximately 220-240 kppm NaCl equivalent); thus, water saturation computation was performed with a sigma log. After the injection of effluent and seawater (mixed-water salinity ranges from 50 kppm to 170 kppm) was started, formation oil volumes must be evaluated using C/O logging. A well-specific Monte Carlo Neutron Particle (MCNP) model and two-detector-balanced C/O data sets were combined to compute oil saturation. We demonstrate multi-well case examples delineating well-based formation saturation profiles in post-injection reservoir conditions. A comparison of sigma- and C/O-based saturation analyses revealed water-flooded zones. Time-lapse sigma data sets highlighted how the water injection impacted thermal neutron capture cross-section measurements. Additionally, multi-detector, time-based nuclear attributes were used to evaluate formation properties and the presence of hydrocarbon-bearing sands. Following pulsed neutron log interpretation, subsequent add-perforation activities were performed; consequently, by-passed or remaining hydrocarbon was successfully produced. Evaluation of current formation fluid distribution in areas of the field where mixed-water salinity exists is challenging. Integrating sigma, C/O, and auxiliary pulsed neutron logs determined the remaining formation oil distribution and volume. The optimized perforation strategy to maximize oil production from existing wellbores was executed.
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