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<p>The coal-forming environment in deep coal seams are the basis for studying enrichment of deep coalbed methane. The classification and predictive evaluation of coal facies types have become the topic of current research. In this paper, coal facies of coal seam 8 are divided by using submicroscopic component test. The nano-pores volume distribution under different coal facies are studied, and adsorption performance difference among different coal facies are studied. Meanwhile, principal components analysis is used to predict coal facies. The conclusions are as follows. (1) Coal facies includes water-covered herbaceous swamp facies, moist herbaceous swamp facies, and moist forest swamp facies. Effected by vegetation type, ash content of moist forest swamp phase is the highest, resulting in smaller micro-pore volume and stronger pore distribution heterogeneity, methane adsorption capacity of this coal facies is weaker than other two types of coal facies. (2) Natural gamma, acoustic time difference, and the compensated neutron log could be used to achieve accurate characterization of coal facies by using principal component analysis. In the same coal seam, coal facies at the bottom of coal seam 8 are moist forest facies while those in the middle and upper parts are moist and covered with water herbaceous swamp facies. (3) The distributary bay subfacies affect planar distribution of water-covered herbaceous swamp facies. Under this type of coal facies, macroscopic coal lithotypes are semi-bright and bright coal, which is prone to form thick coal seams (with a thickness greater than 8&#xa0;m) and underdeveloped dirt bands inclusions within the coal seams. Water-covered herbaceous swamp facies should be regarded as a favorable coal facies.</p>

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Adsorption Energy Variation and Prediction of Different Coal Facies in Deep Coal Reservoirs and Spatial Distribution Using Logging Curves

  • 期刊论文

  • 发表日期：

    2025年6月10日

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  • Xiangchun Chang,
  • Daiqi Ming,
  • Junjian Zhang,
  • Veerle Vandeginste,
  • Hua Wang,
  • Tingting Yin,
  • Yu Liu,
  • Hailiang Lang

摘要

The coal-forming environment in deep coal seams are the basis for studying enrichment of deep coalbed methane. The classification and predictive evaluation of coal facies types have become the topic of current research. In this paper, coal facies of coal seam 8 are divided by using submicroscopic component test. The nano-pores volume distribution under different coal facies are studied, and adsorption performance difference among different coal facies are studied. Meanwhile, principal components analysis is used to predict coal facies. The conclusions are as follows. (1) Coal facies includes water-covered herbaceous swamp facies, moist herbaceous swamp facies, and moist forest swamp facies. Effected by vegetation type, ash content of moist forest swamp phase is the highest, resulting in smaller micro-pore volume and stronger pore distribution heterogeneity, methane adsorption capacity of this coal facies is weaker than other two types of coal facies. (2) Natural gamma, acoustic time difference, and the compensated neutron log could be used to achieve accurate characterization of coal facies by using principal component analysis. In the same coal seam, coal facies at the bottom of coal seam 8 are moist forest facies while those in the middle and upper parts are moist and covered with water herbaceous swamp facies. (3) The distributary bay subfacies affect planar distribution of water-covered herbaceous swamp facies. Under this type of coal facies, macroscopic coal lithotypes are semi-bright and bright coal, which is prone to form thick coal seams (with a thickness greater than 8 m) and underdeveloped dirt bands inclusions within the coal seams. Water-covered herbaceous swamp facies should be regarded as a favorable coal facies.