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Prediction of Coal Body Structure of Deep Coal Reservoirs Using Logging Curves: Principal Component Analysis and Evaluation of Factors Influencing Coal Body Structure Distribution
Natural Resources Research ( IF 4.8 ) 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

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.



中文翻译:


基于测井曲线的深部煤储层煤体结构预测:影响煤体结构分布因素的主成分分析与评价



深层煤层气 (CBM) 开采表明,煤体结构 (CBS) 影响煤储层的原始孔隙和渗透条件,对煤层气生产有显著影响。利用测井曲线进行 CBS 预测已成为煤层气储层工程的一个重要方面。本研究基于岩心观测,确定了鄂尔多斯盆地 23 口井本溪组 8 号煤层 CBS 的垂直发育。此外,收集所有煤层的测井曲线,研究不同测井参数与 CBS 之间的相关性,进而优化测井曲线参数。采用主成分分析对 CBS 进行综合评价。随后,通过探究米直地区本溪组构造曲率、煤层深度、厚度和沉积环境等因素,探讨CBS的主要控制因素。结果如下。(1)目标煤储层的CBS包括原生结构煤、零碎结构煤和糜棱岩煤。随着煤结构损伤程度的增强,微孔隙的体积变化显著强于中孔体积,甲烷吸附能力逐渐增强,更有利于甲烷吸附。(2)不同煤结构的固有势、固有伽马、声时差、补偿中子和密度测井曲线差异较大。使用双记录参数识别 CBS 的性能较差。基于主成分分析的煤炭结构识别精度较好。 (3)测井曲线鉴定结果表明,米直地区东北部有糜棱岩煤广泛发育,这与较大的构造曲率有关,导致煤层变形程度增加。(4)中东部地区糜棱岩煤的开发是由于该地区潮间带灰色平原相的广泛发育。顶底楼层主要由石灰岩和泥岩组成,厚煤层中有两层互层煤矸石。因此,煤层内部的强非均质性和顶底岩石相似的力学性质导致了该地区糜棱岩煤的开发。

更新日期:2024-11-15
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