勘探井中薄层油藏深瞬态测试实时高分辨率地层评价案例研究:净零碳排放试井测试作业

T. Nordin, M. A. Abu Talib, L. W. Ong, C. C. Ling, E. Motaei, M. Z. Abdullah
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引用次数: 0

摘要

薄层油藏日益成为马来西亚水域近海勘探的目标。由于这些储层的物理性质较差,模拟生产率不经济,因此在经济上不适合进行钻杆测试。本文介绍了实时和高分辨率地层评估方法,以及用于描述此类储层特征的地层测试方法。油井测试作业采用了创新的非燃烧技术(深层瞬态测试)和最新一代的有线地层测试仪。该案例研究表明,通过多学科整合,可以克服常规测量的限制和不确定性:深部瞬态测试为薄层砂提供了一种环境友好型动态储层特征描述作业,零燃烧,减少排放,降低能耗。综合集成 三轴阵列感应、高清晰度中子密度-核磁共振和电阻率井眼图像确定了薄层储层中潜在的含烃区。先进的核磁共振通过连续扫描地层特性提供了关键测量数据,以正确识别储层流体类型并估算流体饱和度和接触情况。新一代井下流体分析仪的光学光谱与荧光和反射测量相结合,确定了地层流体的全面特征,包括成分和相态。利用微型成像仪工具确定潜在区域的特征,从而估算纹理异质性,确定储层区域的厚度和井眼几何形状。由于存在薄层、分散的粘土类型和多变的水盐度,用低分辨率的基本常规测井测量和常规 DST 测试来确定是否存在可移动的碳氢化合物、定性生产性和原位储量估算已被证明是高成本的操作,且结果不确定。在这口案例研究井中,成功地在两个薄层油藏和一个气藏中进行了 DTT 测试。在薄层油藏中实时监测和使用高清测井仪(电阻率 Rv、Rh、图像测井仪砂数、核磁共振)可以减少油藏属性(饱和度、孔隙度、渗透率)和流体类型方面的不确定性。在本案例研究中,DTT 被证明是传统 DST 的实用替代方法,可提供确定储层动态属性的测量(尽管测试间隔较小),并可获取污染极低的流体样本用于 PVT 分析。在薄层层序内成功实施首次深层瞬态测试油气藏,进行实时监测,并在薄层油气藏使用高清测井仪,可减少马来西亚沙捞越-巴林吉安地区油气藏属性(饱和度、孔隙度、渗透率)和流体类型的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Case Study on a Real-Time High-Resolution Formation Evaluation with Deep Transient Testing on Thinly Bedded Reservoirs in Exploration Well: A Net Zero Carbon Emission Well Test Testing Operation
Thinly bedded reservoirs are increasingly a target of offshore exploration in Malaysia water. Due to the poor physical properties of these reservoirs, simulated production rates were sub-economic, therefore rendering them economically unviable to justify for a Drill Stem Test. This paper describes methods of real-time and high-resolution formation evaluation with formation testing used to characterize such reservoirs. The well testing operation was carried out with innovative non flaring technology (Deep Transient Testing) with wireline latest generation formation tester. The case study presented demonstrates that the constraints and uncertainty of the conventional measurements can be overcome by multidisciplinary integration by: Deep Transient Testing provides an environmentally friendly dynamic reservoir characterization operation for thinly laminated sand with zero flaring, reduce emission and energy consumption. Comprehensive integration Tri-axial array induction, high-definition neutron-density-NMR and resistivity borehole image identified the potential hydrocarbon bearing zones in thinly laminated reservoirs. Advanced nuclear magnetic resonance provided key measurements by continuous scanning of the formation properties to correctly identify the reservoir fluid types and estimate fluid saturation and contact. Optical spectroscopy coupled with fluorescence and reflectance measurement with the new generation downhole fluid analyzer identified the full characterization of the formation fluid, both composition and phase behavior. Determination the characteristic of the potential zones using micro-imager tool and allow to estimate textural heterogeneities and define thickness of reservoir zones and borehole geometry. Basic conventional log measurements with low resolution and conventional DST testing to determine the presence of movable hydrocarbons, qualitative producibility and in situ reserves estimation have been proven to be high-cost operation with inconclusive result due to presence of thin-beds, dispersed clay type and highly variable water salinity. For this case study well, DTT testing was successfully acquired in two thinly laminated oil reservoirs and one gas reservoir. Real time monitoring and uses of high-definition logs at thinly laminated reservoirs (resistivity Rv, Rh, image log sand count, NMR) can reduce the uncertainty in terms of reservoir properties (saturation, porosity, permeability) and fluid typing. In this case study, DTT proved to be a practical alternative to the conventional DST, providing measurements to determine the reservoir dynamic properties (albeit over a smaller test interval), and the acquisition of very low contamination fluid samples for PVT analysis. The successful implementation of the first deep transient testing oil and gas reservoirs within thin bed sequences with real-time monitoring and the use of high-definition logs at thinly laminated reservoirs can reduce uncertainty in reservoir properties (saturation, porosity, permeability) and fluid typing in Sarawak-Balingian Area, Malaysia.
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