Evaluating the fracture resistance and drainage difficulty of coal reservoirs using log data

Liu, Zhidi; Yang, Bong Min; Tang, Xiaoyan; Wang, Wei; Ji, Liang; Jiang, Zhihao

doi:10.1007/s11770-021-0961-8

Cited by 1 publication

(1 citation statement)

References 28 publications

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“…According to solid-dielectric theory, the electrical types of solid medium can be divided into two categories by the type of conductive carriers and the migration mode. One type is electron conductivity, generated by the directional movement of intermolecular electron clouds, and the other type is ion conductivity, caused by the migration of positive and negative ions in the filter-diffusion electric field in minerals and solutions [24]. The conductive properties of coal mass consist of both, but the electrical response of different aspects of coal differ in their sensitivity to the two conductivities in different incubation environments.…”

Section: Macro-microscopic Mechanism Analysis Of Resistivity Change O...mentioning

confidence: 99%

Spatiotemporal Evolution Characteristics of Apparent Resistivity and Its Response Correlation with Acoustic Emission of Coal under Multi-Step Loading

et al. 2022

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To understand the early warning signs of damage during the coal mass deformation process, an integrated monitoring procedure was designed that combines the apparent resistivity (AR) and acoustic emission (AE) of coal damage under multi-step loading. The spatiotemporal response characteristics of AR and the time-varying evolution of AE were studied and the varying correlation between the two was discussed. Additionally, the macro–microscopic mechanics of the AR response during the coal deformation process was explored. The results show that the AR and AE signals corresponded well with the applied load during the coal deformation process. In the early loading stage, variations in AR and AE signals were not apparent. As the applied load increased, the high-resistance area of AR increased and the AE signals became active. The local variation characteristics of AR could be used to indirectly invert the internal structure of the coal samples. The electrical variation in the loaded coal was mainly controlled by the conductive surface of cracks. The acoustic and resistivity methods can strongly complement the spatial and temporal dimensions of early warning systems for disasters. The AE technique can continuously monitor a test area for abnormal occurrences in the engineering site, and AR tomography images that are obtained can be used to locate inversions in the source coal in order to take pre-emptive action before disaster occurs. This research can provide new ideas for monitoring and early warning systems for coal and rock dynamic disasters.

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Section: Macro-microscopic Mechanism Analysis Of Resistivity Change O...mentioning

confidence: 99%

Spatiotemporal Evolution Characteristics of Apparent Resistivity and Its Response Correlation with Acoustic Emission of Coal under Multi-Step Loading

et al. 2022

View full text Add to dashboard Cite

show abstract

Evaluating the fracture resistance and drainage difficulty of coal reservoirs using log data

Cited by 1 publication

References 28 publications

Spatiotemporal Evolution Characteristics of Apparent Resistivity and Its Response Correlation with Acoustic Emission of Coal under Multi-Step Loading

Spatiotemporal Evolution Characteristics of Apparent Resistivity and Its Response Correlation with Acoustic Emission of Coal under Multi-Step Loading

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