利用核磁共振数据深入了解复杂碳酸盐岩储层的孔隙结构

Q1 Earth and Planetary Sciences
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引用次数: 0

摘要

该研究深入探讨了印度近海油田复杂的始新世碳酸盐岩中的孔隙结构属性,包括孔喉、半径及其特征。核磁共振(NMR)实验数据揭示了对孔隙结构和流体状态的重要见解。本研究将核磁共振 T2 分布曲线与汞注入毛细管压力(MICP)技术的毛细管压力数据进行比较,得出线性和非线性转换系数,将核磁共振 T2 光谱转换为等效孔隙半径分布。利用核磁共振衍生数据,进行了与渗透率和不可还原水分布相关的孔隙半径孔隙度划分。在 T2 截止分析之后,还对 NMR T2 分布进行了两段分形分析。该分析揭示了分形尺寸与各种岩石物理参数(包括渗透率、孔隙度、T2LM、不可还原水饱和度和 R50)之间的关联。核磁共振得出的孔隙半径分布大多为单峰,偶尔略呈双峰。分析了六种不同孔径级别(小于 0.05 μm 至大于 5 μm)与渗透性、孔隙度和不可还原水的关系。小孔隙(1 微米)在孔隙度和渗透率较低的情况下对不可还原水的贡献较大。大孔隙的分形维度与孔隙度、渗透率、T2LM、不可还原水和 R50 密切相关,表明其对储层渗流能力有重大影响。除了孔隙度分区之外,当前的研究还证明了模拟修正渗透率的有效性,并将其与研究区域的现场核磁共振测井数据相关联。虽然许多研究侧重于砂岩,但我们的研究标志着对复杂碳酸盐岩储层进行全面分析的开创性尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Petrophysical insights into pore structure in complex carbonate reservoirs using NMR data

The study delves into pore structure attributes within the complex Eocene carbonate of an Indian offshore field, encompassing pore throat, radius and their characteristics. Nuclear Magnetic Resonance (NMR) experimental data reveals crucial insights into pore structures and fluid states. This study compares the NMR T2 distribution curve with capillary pressure data from the Mercury Injection Capillary Pressure (MICP) technique, deriving linear and nonlinear conversion coefficients to transform NMR T2 spectra into equivalent pore radius distribution. Pore radius-dependent porosity partitioning, linked to permeability and the distribution of irreducible water, is conducted utilizing NMR-derived data. Following the T2 cut-off analysis, a two-segment fractal analysis of NMR T2 distribution is also carried out. This analysis unveils associations between fractal dimensions and various petrophysical parameters, including permeability, porosity, T2LM, irreducible water saturation and R50. The NMR-derived pore radius distribution is mostly unimodal, occasionally slightly bimodal. Six different pore size classes (less than 0.05 μm to more than 5 μm) are analysed in relation to permeability, porosity and irreducible water. Small pores (<1 μm) contribute more to irreducible water with low porosity and permeability. The fractal dimension of large pores correlates strongly with porosity, permeability, T2LM, irreducible water and R50 suggesting significant impact on reservoir seepage capacity. In addition to porosity partitioning, the current study demonstrates effectiveness in modelling modified permeability and correlating it with in situ permeability when applied to field NMR log data from the study area. While numerous studies focus on sandstone, our study marks the pioneering attempt at a comprehensive analysis on complex carbonate reservoirs.

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来源期刊
Petroleum Research
Petroleum Research Earth and Planetary Sciences-Geology
CiteScore
7.10
自引率
0.00%
发文量
90
审稿时长
35 weeks
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