核磁共振在高含水饱和度页岩砂岩油藏开发中的应用——以特立尼达西南近海为例

Kala Singh-Samlal, R. Hosein
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引用次数: 0

摘要

泥砂岩油藏有效含水饱和度的确定困难是一个老问题。即使电阻率测井显示油气存在,生产数据显示低含水率,高含水饱和度的区域也可能不被开发。特立尼达西南海域的油藏表明,常规测井分析与测试/生产结果之间存在高度不匹配。根据生产报告,这些页岩砂岩储层的含水饱和度为50-60%,产无水油或含水值较小(<5%)。核磁共振(NMR)测井数据在改善页岩砂分析以及分别预测流动水和束缚水的能力方面的优势已经被许多从业者证明。然而,整合核磁共振数据的方法可能是独立的、确定的或统计的,并且岩石物理输出的类型可能有很大的不同。本研究通过对特立尼达西南部海域5口井的测井数据进行广泛研究,评估了核磁共振/裸眼数据整合方法对岩石物理产量的影响。介绍了核磁共振数据的质量控制方法以及核磁共振与常规测井数据集成的确定性和统计工作流程。通过使用相同的环境校正测井数据、页岩/粘土参数、水电阻率(Rw)和饱和度指数,为所有技术建立了有效的比较基线。开发了双水(DWM)和湿页岩模型(WSM)工作流程,并进行了三组分析。在第一个分析中,仅以典型的确定性方法应用常规测井数据。在第二次分析中,使用改进的确定性方法应用核磁共振数据和常规数据。在第三个分析中,核磁共振和常规测井数据通过联立方程组以统计方法应用。然后将这三种分析方法的所有相应岩石物理输出与岩心和生产数据进行比较。无论页岩/粘土含量如何,核磁共振总孔隙度都与岩心孔隙度相匹配,而密度测井孔隙度仅与干净的储层剖面相匹配。在泥质层段,中子密度孔隙度比岩心孔隙度高5-7%,密度孔隙度比岩心孔隙度低3-5%。研究结果还表明,利用核磁共振孔隙度(总孔隙度和束缚孔隙度)计算的总含水饱和度(Swt DWM)与岩心数据相似。在页岩储层剖面中,常规测井Swt-DWM和Swt-WSM分别比岩心含水饱和度高10-15%和15-20%。利用统计方法整合核磁共振数据,为计算高含水低含水的泥质砂岩储层的不可约含水饱和度提供了最可靠的结果。本案例研究说明了如何使用核磁共振数据进行页岩砂分析,包括质量控制过程、确定性方法、统计方法和获得的岩石物理输出。
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NMR Application in the Development of High Water Saturation Shaly Sand Oil Reservoirs: A Case Study Offshore Southwest Trinidad
The difficulty of determining effective water saturations in shaly-sand oil reservoirs is an old industry problem. Zones with high water saturation may not be developed even though the resistivity logs show that hydrocarbon exist and production data indicate low water cuts. Reservoirs offshore Southwest Trinidad are examples that show a high degree of mismatch between conventional log analysis and test/production results. These shaly-sandstone reservoirs have water saturations of 50-60% and produce water-free oil or have small water cut values (<5%) based on production reports. The benefits of Nuclear Magnetic Resonance (NMR) logging data to improve shaly-sand analysis and the ability to separately predict mobile water and bound water have been demonstrated by many practitioners. However, the methods of integrating NMR data can be standalone, deterministic or statistical and the type of petrophysical outputs can vary widely. This study assesses the impact of integration methods of NMR/Open-hole data on petrophysical outputs by carrying out an extensive study on log data from five (5) wells offshore Southwest Trinidad. Methodologies for quality control of NMR data and deterministic and statistical workflows for integrating NMR and Conventional Logging data were demonstrated. An effective baseline for comparison was established by using the same environmentally corrected log data, shale/ clay parameters, water resistivity (Rw) and saturation exponents for all techniques. A Dual Water (DWM) and Wet Shale Model (WSM) workflows were developed and three sets of analyses were conducted. In the first analysis Conventional Logging data only were applied in a typical deterministic approach. In the second analysis NMR data and Conventional data were applied using a modified deterministic approach. In the third analysis NMR and Conventional log data were applied in a statistical approach via a system of simultaneous equations. All of the corresponding petrophysical outputs from these three methods of analyses were then compared with core and production data. NMR-derived total porosities were found to match core porosities regardless of shale/clay content, whereas density log porosities match only in clean reservoir sections. In shaly intervals, the Neutron-Density porosities were 5-7% higher and Density porosities were 3-5% lower than core porosities. The results from this study also show that total water saturations (Swt DWM) using NMR- derived porosities (total and bound) were similar to core data. In shaly reservoir sections, Swt-DWM and Swt-WSM using conventional logging data were 10-15% and 15-20% higher than core water saturations respectively. The integration of NMR data using a statistical approach gives the most reliable results for computing irreducible water saturations for shaly sand reservoirs with high water sturations and low water-cut. This case study illustrates how to undertake shaly-sand analysis using NMR data, including the quality control process, deterministic methods, statistical approaches and petrophysical outputs that are obtained.
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