富有机质非常规油藏数据整合与储层表征——以阿联酋为例

J. Kang, Francis Eriavbe, S. Girinathan, Alyazia Mohamed, Neil Doucette, Khalil Almehsin, J. A. Alloghani, A. A. Al-Ali, Faaeza Ahmed Al Katheeri, Pranjal Bhatt, J. Franquet, G. Zhunussova, Sila Uluyuz
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引用次数: 0

摘要

富有机质非常规储层的特征描述面临着一些挑战,其中最重要的是水平井最佳布置甜点的确定、可产油气的估计以及随后的增产设计。本文介绍了X组岩石物理与地质力学的综合方法,以及识别甜点的重要因素。案例研究集中在X组,该组由一系列泥质灰岩组成,主要是细粒砾岩和微晶岩,以及下部的钙质页岩。复杂的碳酸盐岩岩性和结构,加上低孔隙度和总有机碳的评价要求,对常规测井和评价提出了挑战。在岩石的所有性质中,低渗透率和低产能决定了有效增产的要求。先进测井资料与常规测井资料、岩心资料、泥浆测井资料和地质力学分析的详细整合,对这些富有机质非常规储层的评价和开发起着至关重要的作用。利用电缆测井工具进行了广泛的数据收集,包括电阻率/密度/中子/光谱GR-声波测井-电阻率和声学图像-介电-核磁共振-先进元素光谱技术和微压裂测试,以表征富有机质X地层的油气潜力、甜点和地应力对比。利用x偶极子数据获得了声波的方位和横向各向异性,以充分表征地层的弹性性质。静弹性特性是利用经验岩心相关性获得的,因为在研究时没有三轴岩心试验。根据跨式封隔器微压裂测试对应力剖面进行校准,以确定具有应力对比的层段,从而选择合适的水力压裂层段。常规测井和先进测井的整合能够准确评估总有机碳(TOC)、岩石物理体积和甜点选择。先进的元素光谱数据提供了矿物学,岩石中存在的碳量,从而提供了X组中相关的有机碳。核磁共振储层表征提供了与岩性无关的总孔隙度。核磁共振孔隙率和密度孔隙率之间的差异提供了有关有机物质的额外信息。在这个案例研究中,利用核磁共振数据来识别和区分X组中的有机物和碳氢化合物。声波和图像测井提供了地质力学特性,可以为微裂缝应力测量和适当的裂缝封闭性建模选择最佳间隔。地质力学工作流程可以识别X地层中具有良好应力对比的层段。岩心数据和应力测量被推荐用于应力剖面的精确校准和水力裂缝扩展建模。X组单井研究中广泛的数据整合工作是任何富有机质非常规储层表征的关键因素,它综合了地质学、岩石物理学、矿物学和地质力学,以识别致密油碳酸盐岩储层的甜点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Integration and Reservoir Characterization for Organic Rich Unconventional Plays - A Case Study from UAE
Several challenges are associated with the characterization of organic rich unconventional plays, most significantly with the identification of sweet spots for optimum placement of horizontal wells, estimation of producible hydrocarbons and subsequent stimulation design. This paper presents the petrophysics and geomechanics integration approach from the X Formation and the important factors for the identification of sweet spots. The case study concentrates on the X Formation that consists of a succession of argillaceous limestone, mostly fine grained packstones and wackestones together with subordinate calcareous shales in the lower part. The complex carbonate lithology and fabric combined with low porosity and the requirement to evaluate total organic carbon presents a challenge to conventional logs and evaluation of them. Amid all the rock properties, the low permeability and productivity dictate the requirement to stimulate the wells effectively. Detailed integration of advanced and conventional log data, core data, mud logs and geomechanical analysis plays a critical role in the evaluation and development of these organic rich unconventional reservoirs. Extensive data gathering was done with wireline logging suite, which covered Resistivitiy/Density/Neutron/Spectral GR- Acoustic logs – Resistivity & Acoustic Images – Dielectric- NMR - Advanced Elemental Spectroscopy technologies and microfrac tests to characterize the hydrocarbon potential, sweet spots and in-situ stress contrast within the organic rich X Formation. The azimuthal and transverse acoustic anisotropies were obtained from X-dipole data to fully characterize the elastic properties of the formation. The static elastic properties were obtained using empirical core correlations as triaxial core tests were not available at the time of the study. The stress profile was calibrated against straddle packer microfrac tests to identify intervals with stress contrast for proper hydraulic fracturing interval selection. The integration of conventional and advanced logs enabled the accurate evaluation of total organic carbon (TOC), petrophysical volumes, and sweet spot selection. The advanced elemental spectroscopy data provided the mineralogy, amount of carbon presence in the rock, and consequently the associated organic carbon within the X Formation. The NMR reservoir characterization provided lithology independent total porosity. The difference between the NMR and density porosities provides additional information about organic matter. NMR data was utilized in this case study to identify and differentiate the organic matter and hydrocarbon presence within the X Formation. Acoustic and image logs provided the geomechanical properties that enable selection of the best intervals for microfrac stress measurement and proper fracture containment modeling. Geomechanical workflow allowed identification of intervals with a good stress contrast in X formation. The core data and stress measurements are recommended for the accurate calibration of the stress profiles and hydraulic fracture propagation modeling. The extensive data integration work presented in this single-well study within X Fomation, is a key factor for any organic rich unconventional reservoir characterization that integrated geology, petrophysics, mineralogy, and geomechanics for sweet spot identification within tight oil carbonate reservoirs.
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