Prediction of tectonically deformed coal based on lithologic seismic information

Li, Juanjuan; Pan, Dong; Ruo-fei, Cui; Ding, Enjie; Zhang, Wei; Hu, Mingshun

doi:10.1088/1742-2132/13/1/116

Cited by 9 publications

(11 citation statements)

References 19 publications

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“…As early as the 1970s, Stone and Cook discovered that coal may undergo metamorphosis in tectonic environments. TDCs are the markers of superimposed tectonic movements formed by regional and dynamic metamorphism . The coal structure is reflected in the destruction and reconstruction of coal seams by tectonic stress.…”

Section: Tectonic Controls On Coal Structurementioning

confidence: 99%

“…The TDCs development location is one of the most active determinants of methane adsorption/desorption, diffusion, and flow behaviors. Weak TDCs in the brittle series, especially cataclastic, mortar, and schistose coals, generally have high gas content, high permeability, and well-developed cleats, which are beneficial to CBM transport and are thus favorable CBM exploration targets. , Strong TDCs in the ductile series, notably wrinkle and mylonitic coals, have low strength, strong adsorption, rapid desorption, and low permeability; these usually lead to coal and gas outbursts in coal mining and overpressure the gas and coal fines enrichment zone, restricting them for CBM exploitation …”

Section: Implications For Cbm Performance and Exploitationmentioning

confidence: 99%

“…Research by Katarzyna and Godyn indicated that large-scale faults have a significant influence on the degradation of the internal structure of coal, predominantly affecting the planar distribution of coal structure . TDC is indicative of superimposed tectonic movements formed by regional and dynamic metamorphism …”

Section: Introductionmentioning

confidence: 99%

“…Weak TDCs in the brittle sequence have the characteristics of high gas content and high permeability, which are beneficial to CBM exploitation . However, strong TDCs in the ductile sequence have characteristics of low strength, strong adsorption, rapid desorption, and low permeability, making their exploitation dangerous for CBM production . Moreover, the coal structure affects the hydraulic fracturing that is normally used in coal reservoir reformation.…”

Section: Introductionmentioning

confidence: 99%

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Coal Structure and Its Implications for Coalbed Methane Exploitation: A Review

Liu

Cai

et al. 2020

Energy Fuels

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Coal structure refers to the internal structural characteristics of coals including the degree of macroscopic and microscopic deformation, pore structure, and mechanical properties after various geothermal and geological stresses, which have substantial impacts on coal mining safety and coalbed methane (CBM) exploitation. The coal structure is an indicator of coal mechanical strength, which determines the petrophysical properties of CBM reservoirs and gas extraction or CBM production efficiency from coals. Coals with different structures are divided into primary coals and tectonically deformed coals (TDCs). To explore the macro- and microscopic petrophysics of TDCs, a wide range of techniques including geophysical logging, seismic inversion, amplitude variation with offset (AVO), scanning electron microscopy (SEM), nuclear magnetic resonance (NMR), and Fourier transform infrared spectroscopy (FTIR) have been employed. From a macroscopic perspective, the geological and geophysical methods are generally used to distinguish the degree of deformation of whole coal seams. Microscopic methods including SEM, NMR, and FTIR, are normally used to investigate the internal petrophysics (e.g., pore and fracture, macromolecular structure, and fluid performance) of TDCs. Herein, the macro- and micro-petrophysical properties of TDCs and their impacts on CBM exploration and exploitation are systematically reviewed and potential opportunities of future directions are recommended. Extensive studies have shown that the development zone of TDCs in the brittle series, notably cataclastic coals, has high potential for CBM exploration and exploitation, while that of TDCs in the ductile series is a dangerous region for coal mining and subject to gas outbursts. This review aims to provide background on the coal structure, summarize evaluation methods, highlight its geological drivers, and explain its significance in CBM exploitation. We will end with proposals for future research directions.

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Section: Tectonic Controls On Coal Structurementioning

confidence: 99%

Section: Implications For Cbm Performance and Exploitationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Coal Structure and Its Implications for Coalbed Methane Exploitation: A Review

Liu

Cai

et al. 2020

Energy Fuels

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“…Other scholars tried to identify the TDCs developed inside a coal mass by converting seismic data into the attribute data of stratigraphic lithology. Li et al used only P-wave prestack inversion to derive the evaluation parameters as elastic impedance, acoustic impedance, and porosity for the TDC characterization [12,13].…”

Section: Introductionmentioning

confidence: 99%

Detection of Tectonically Deformed Coal Using Model-Based Joint Inversion of Multi-Component Seismic Data

Wang

Chen

2018

Energies

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Tectonically-deformed coal (TDC) is a potential source of threats to coal-mining safety. Finding out the development and distribution of TDCs is a difficult task in coalfield seismic explorations. Based on the previous investigations, the P-to S-wave velocity ratio (α/β) is a stable parameter for the identification of TDCs and most TDCs have α/β values of less than 1.7. Here, a TDC detection method using a model-based joint inversion of the multi-component seismic data is proposed. Following the least square theories, the amplitude variation with offset gathers of the PP-and PS-waves are jointly inverted into the corresponding α/β values. The prior models generated from the P-and S-wave velocity and density logs are employed in the joint inversion to enhance the inversed models. Model test results show that the model-based inversion is of high anti-noise ability and has a good recognition ability of TDCs. The proposed method is applied to a work area of the Guqiao mine in China. The TDCs developed in coal seam 13-1 are effectively identified according to their inverted α/β values of less than 1.7. The detection result is verified by the well and tunnel excavation information.

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