Prediction of Coal Body Structure of Deep Coal Reservoirs Using Logging Curves: Principal Component Analysis and Evaluation of Factors Influencing Coal Body Structure Distribution

IF 4.8 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Natural Resources Research Pub Date : 2024-11-14 DOI:10.1007/s11053-024-10419-0
Xiangchun Chang, Runye Han, Junjian Zhang, Veerle Vandeginste, Xiaoyang Zhang, Yu Liu, Shuangbiao Han
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Abstract

Deep coalbed methane (CBM) extraction shows that coal body structure (CBS) influences the original pore and permeability conditions of a coal reservoir and that it has a significant effect on CBM production. CBS prediction by using logging curves has become an important aspect in CBM reservoir engineering. In this study, we identified vertical development of CBS in coal seam 8 of the Benxi Formation in 23 wells in the Ordos Basin based on core observation. Moreover, logging curves of all coal seams were collected to study the correlation between different logging parameters and CBS, and the logging curve parameters were then optimized. Principal component analysis was used to make a comprehensive evaluation of CBS. Subsequently, factors such as structural curvature, coal seam depth, thickness and sedimentary environment were explored to investigate the main controlling factors of CBS in the Benxi Formation of Mizhi area. The results were as follows. (1) The CBS of the target coal reservoir includes primary structured coal, fragmented structured coal and mylonite coal. As the damage degree of coal structure became stronger, the volume change of micro-pores was significantly stronger than that of the meso-pore volume, and the methane adsorption capacity gradually enhanced, which is more conducive to methane adsorption. (2) Natural potential, natural gamma, acoustic time difference, compensated neutron and density logging curves of different coal structures were quite different. The identification of CBS by using dual logging parameters had poor performance. The accuracy of coal structure recognition based on principal component analysis was better. (3) The identification results of logging curves indicate that mylonite coal was widely developed in the northeast of the Mizhi area, which is related to the larger structural curvature, resulting in an increased degree of coal seam deformation. (4) The development of mylonite coal in the central and eastern regions is due to the widespread development of intertidal gray flat facies in the area. The top and bottom floors are mainly composed of limestone and mudstone, and there are two layers of interbedded gangue in the thick coal seams. Therefore, the strong heterogeneity inside the coal seams and the similar mechanical properties of the top and bottom rocks lead to the development of mylonite coal in this area.

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利用测井曲线预测深部煤藏的煤体结构:主成分分析及煤体结构分布影响因素评价
深层煤层气(CBM)开采表明,煤体结构(CBS)会影响煤储层的原始孔隙和渗透条件,并对煤层气产量产生重要影响。利用测井曲线预测煤体结构已成为煤层气储层工程中的一个重要方面。在这项研究中,我们根据岩心观测,确定了鄂尔多斯盆地 23 口井中本溪地层 8 号煤层 CBS 的垂直发育情况。此外,还收集了所有煤层的测井曲线,研究了不同测井参数与 CBS 的相关性,并对测井曲线参数进行了优化。采用主成分分析法对 CBS 进行了综合评价。随后,探讨了构造曲度、煤层深度、厚度和沉积环境等因素,研究了米脂本溪地层 CBS 的主要控制因素。研究结果如下(1)目标煤层的 CBS 包括原生结构煤、碎块状结构煤和麦饭石煤。随着煤结构破坏程度的增强,微孔体积变化明显强于中孔体积变化,甲烷吸附能力逐渐增强,更有利于甲烷的吸附。(2)不同煤结构的自然电位、自然伽马、声学时差、补偿中子和密度测井曲线差异较大。利用双测井参数识别 CBS 的性能较差。基于主成分分析的煤结构识别精度较高。(3)测井曲线识别结果表明,米脂地区东北部广泛发育麦饭石煤,这与构造曲率较大,导致煤层变形程度增大有关。(4)中部和东部地区麦饭石煤的发育是由于该地区潮间带灰平面的广泛发育。顶底板主要由石灰岩和泥岩组成,厚煤层中夹有两层矸石。因此,煤层内部的强烈异质性和上下两层岩石相似的力学性质导致了该地区麦饭石煤的发育。
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来源期刊
Natural Resources Research
Natural Resources Research Environmental Science-General Environmental Science
CiteScore
11.90
自引率
11.10%
发文量
151
期刊介绍: This journal publishes quantitative studies of natural (mainly but not limited to mineral) resources exploration, evaluation and exploitation, including environmental and risk-related aspects. Typical articles use geoscientific data or analyses to assess, test, or compare resource-related aspects. NRR covers a wide variety of resources including minerals, coal, hydrocarbon, geothermal, water, and vegetation. Case studies are welcome.
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