Revisiting Petrophysical and Fluid Characteristics of a Mature Smectite-Rich Shally Sand Reservoir for EOR Screening in the Sultanate of Oman

Arwa Al-Harrasi, R. Al-Mjeni, A. Al-Yaarubi, Fathiya R Al-Battashi, Ahmed Al-Jabri
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Abstract

This paper reviews the petrophysical evaluation of a major oil field in the South of the Sultanate of Oman. The current recovery factor is 15% with over 400 vertical and horizontal well penetrations. The reservoir is in the shaly-sand Mahwis formation. This reservoir is characterized by high porosity, averaging around 30pu, and permeabilities between 200 to 2000mD. The hydrocarbon is of variable viscosity ranging from 250 to 2000 cP closer to water contact. The formation water is of low salinity around 5000ppm NaCl. The mineralogy is composed of quartz, feldspars and clays that include large proportion of smectite. Smectite has the highest cation exchange capacity–CEC-among all clay types. The varying distribution of smectite in the field led to a varied resistivity response across the reservoir. Consequently, the resistivity-based saturation models overestimated water saturation in some parts of the field. That coupled with historical production has led to ambiguity in the current saturation distribution of the reservoir. A petrophysical workflow is devised to overcome saturation ambiguity and provide essential information for current infill and future field developments. The evaluation utilizes modern logging tools including elemental spectroscopy, dielectric dispersion and multi-dimensional NMR. The Spectroscopy data is useful in determining representative mineralogical composition. The results of this analysis is verified against side-wall-core samples. The mineralogy data is used as an input into a multi-mineral-volumetric-solver to compute accurate porosity and matrix dielectric permittivity. Subsequently, these are used as inputs into dielectric dispersion analysis that outputs total water and hydrocarbon volumes at the tool’s depth of investigation. The integration of NMR and dielectric logs help to partition measured T2 distribution into hydrocarbon, bound and free fluids. This information is then used to determine formation saturation and in-situ oil viscosity. Additionally, Carbon-Oxygen data, which outputs resistivity-independent saturation was acquired after setting the casing and allowing sufficient time for mud filtrate to dissipate. The comparison of saturation from the analysis behind casing and shallow reading tools (i.e NMR and dielectric) allowed to determine intervals with mobile hydrocarbon and accurately determine the onset of the transition zone. The study presented a methodology to accurately separate NMR signals of the heavy oil, bound and free fluids. Subsequently, these datasets were used as inputs into proven correlations to estimate saturation and in-situ oil viscosity. The results were in good agreement with laboratory data performed on core samples acquired in the same well. In addition, the integration of the elemental capture spectroscopy and dielectric permittivity logs resulted in a good quantitative estimate of the hydrocarbon saturation. The result of this study contributed to delineating sections of the field where the current saturation parameters needed to be re-evaluated to reflect the mineralogy of the field. This in turn forms an integral component of the optimization, planning and execution of ongoing field development operations. This result is also of considerable importance of ongoing EOR screening initiatives aimed to increase the field’s recovery factor.
阿曼苏丹国成熟富蒙脱石页岩砂储层的岩石物理和流体特征
本文综述了阿曼苏丹国南部某大油田的岩石物性评价。目前的采收率为15%,直井和水平井渗透率超过400。储层为泥砂岩Mahwis组。该储层的特点是高孔隙度,平均约为30pu,渗透率在200 ~ 2000mD之间。烃的粘度变化范围为250 ~ 2000 cP,接近水接触。地层水盐度较低,约为5000ppm NaCl。矿物学由石英、长石和粘土组成,其中含有大量蒙脱石。在所有粘土类型中,蒙脱石的阳离子交换能力(cec)最高。蒙脱石在油田中的不同分布导致整个储层的电阻率响应不同。因此,基于电阻率的饱和度模型高估了油田某些部分的含水饱和度。这与历史产量相结合,导致了目前储层饱和度分布的模糊性。岩石物理工作流程旨在克服饱和度的模糊性,并为当前的填充和未来的油田开发提供必要的信息。利用元素谱、介电色散、多维核磁共振等现代测井工具进行评价。光谱学数据在确定具有代表性的矿物组成方面是有用的。用侧壁岩心样品验证了分析结果。矿物学数据被用作多矿物体积求解器的输入,以计算精确的孔隙率和基质介电常数。随后,这些数据被用作介质色散分析的输入,从而输出工具探测深度的总水和碳氢化合物体积。核磁共振和介电测井的结合有助于将测量到的T2分布划分为烃类、束缚流体和自由流体。然后利用这些信息来确定地层饱和度和原位油粘度。此外,碳氧数据可以在下入套管后获得与电阻率无关的饱和度,并有足够的时间使泥浆滤液消散。通过对比套管和浅层读数工具(即核磁共振和介电介质)的饱和度分析,可以确定可移动烃的层段,并准确确定过渡带的开始。提出了一种准确分离稠油、结合流体和自由流体核磁共振信号的方法。随后,将这些数据集作为已验证相关性的输入,以估计饱和度和原位油粘度。结果与同一井岩心样品的实验室数据吻合良好。此外,元素捕获光谱和介电介电常数测井数据的整合可以很好地定量估计烃饱和度。这项研究的结果有助于圈定需要重新评估当前饱和度参数以反映油田矿物学的油田剖面。这反过来又构成了正在进行的油田开发业务的优化、规划和执行的一个组成部分。这一结果对于正在进行的旨在提高油田采收率的EOR筛选措施也具有相当重要的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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