利用岩心尺度岩石物理和电阻率模型评价低阻储层流体状态和饱和度。第九届中东地球科学会议,2010。

F. Umbhauer
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引用次数: 0

摘要

在非均质碳酸盐岩储层中,完井策略的流体状态定义,或基于电缆电阻率测井的原位烃饱和度评估和储量估计,往往是不确定的,因为这些储层往往偏离阿奇定律。这可以用小规模的非均质性来解释(斑块状的大孔油层嵌入在微孔基质中),这可能会产生过量的电导率(通过饱和水的微孔连接路径的电旁路)。在这种情况下,用标准的m和n = 2值应用阿奇定律可能会导致含水饱和度计算错误,对流体状态、完井策略和项目经济造成严重后果。为了解决这一问题,研究人员开发了一种方法:(1)利用商业地质建模软件在岩心尺度上对储层非均质性进行建模,通过岩心岩石物理数据(CT扫描三维成像、微渗透率、孔隙度、渗透率、毛管压力)提供校准的参考油量;(2)利用研究用二维电阻率建模软件正演模拟侵入过程,并与获取的电缆电阻率测井响应进行对比,验证模型的准确性。该方法应用于利比亚苏尔特盆地古新世碳酸盐储层的洞穴层(“豹皮纹理”)。采用标准阿奇参数的电阻率测井解释得出的含水饱和度为77%,与钻杆测试(DST)生产含水值不一致。岩心尺度模型提供的平均饱和度为51%,可以再现油田的含水率。基于该模型的正演二维电阻率模拟再现了获取的电缆侧向曲线,并在调整水矿化度后导出了与区域数据一致的真实电阻率剖面。在没有任何核磁共振(NMR)或SIGMA测井数据的情况下,该储层的低电阻率产层已成功表征。这是可能的,因为完整的取心和测试程序可以很好地校准岩石物理和电性,准确地模拟储层非均质性,并成功地进行了岩心测井升级。如果可以通过裸眼井段的测井数据(测井图像)和地质知识(相关性)诊断出等效层位,则电阻率衍生的饱和度可以进行校正,从而为完井策略提供有效的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fluid status and saturation assessment in low-resistivity-pay carbonate reservoir using core scale petrophysical and resistivity modelling. 9th Middle East Geosciences Conference, GEO 2010.
Fluid status definition for completion strategy, or reliable saturation evaluation for hydrocarbon-in-place and reserves estimation in heterogeneous carbonates reservoirs, based on wireline resistivity logs, is often uncertain as these reservoirs often deviate from Archie’s Law. This can be explained by small-scale heterogeneities (patchy macroporous oil zones embedded in a microporous matrix), which can generate an excess of conductivity (electrical bypass through water-saturated microporous connected path). Applying Archie’s Law with the standard m and n = 2 values in such cases may lead to erroneous water-saturation computation, with serious consequences on fluid status, completion strategy and project economics. A methodology has been developed to tackle this problem by: (1) modelling reservoir heterogeneity at core scale using commercial geomodelling software, providing a reference oil volume calibrated by core petrophysical data (CT scan 3-D imaging, minipermeameter, porosity, permeability, capillary pressure); and (2) checking the accuracy of the model through forward modelling using a research 2-D resistivity modelling software that simulates the invasion process, by comparison with the acquired wireline resistivity logs response. This methodology was applied to a vuggy interval (“leopard-skin texture”) of a carbonate reservoir of Paleocene age, in the Sirte Basin, onshore Libya. The water saturation derived from resistivity logs interpretation with standards Archie’s parameters reached 77%, not consistent with drill stem tests (DST) production watercut values. Core-scale model provides an average saturation of 51%, which allows reproducing field watercuts. The forward 2-D resistivity modelling based on this model reproduced the acquired wireline laterolog curves and derived true resistivity profile, after adjustment of water salinity, consistent with regional data. In the absence of any nuclear magnetic resonance (NMR) or SIGMA log acquisitions, low-resistivity pay intervals in this reservoir have been successfully characterized. This was possible because the complete coring and testing program permitted a good calibration of petrophysical and electrical properties, an accurate modelling of reservoir heterogeneities, and a successful core-log upscaling process. Providing equivalent zones could be diagnosed through well data (log imagery) and geological knowledge (correlations) along uncored well sections, resistivity-derived saturation can be corrected thus leading to effective decisions for completion strategy.
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