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Identification of Coal Petrologic-structure by using Geophysical Logging data: A case study of the coals of Hancheng coalbed methane field

机译:采用地球物理测井数据识别煤气结构:汉城煤层煤矿煤矿煤矿

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Coal petrologic structure is important for the prediction of coal and the associated coalbed methane outburst during coal mining. This paper discusses the relationship between the response characteristics of natural gamma (GR), laterlog deep (LLD) and compensation density curve (RHOB), and the coal structures. Results show that the tectonic-coals (the coals with high breakage degree by tectonic structures) can be identified by the logging characteristics of low amplitude of GR (20-90 API), high amplitude of LLD (300-1800Ω·m), and low amplitude of RHOB (1.25-1.5g/cm~3). It was found that with increasing degree of the breakage, coal pores and fractures become well developed, and thus reduce the bulk density of coal and the content of radioelement but more gas within the coal. This is the reason for logging performances of low amplitude of GR and RHOB, as well as high amplitude of LLD for the tectonic-coals.
机译:煤炭岩石结构对于煤炭开采期间的煤炭和相关的煤层气爆发是重要的。本文讨论了天然伽马(GR),喉深(LLD)和补偿密度曲线(ROOB)和煤结构之间的关系与煤结构之间的关系。结果表明,通过低幅度的GR(20-90 API),LLD幅度(300-1800Ω·m)的测井特性,可以识别构造 - 煤(构造结构的高度破坏度)(300-1800Ω·m),低振幅的rhob(1.25-1.5g / cm〜3)。结果发现,随着损伤程度的增加,煤毛孔和裂缝变得良好,从而降低了煤的堆积密度和无线电的含量,但煤内的气体更多。这是记录低振幅的GR和振振的性能的原因,以及构造煤的LLD的高幅度。

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