Prediction of Coal Seam Methane Enriched Areas Using Seismic Data

Chen, Tongjun; Ruo-fei, Cui; Liu, Enru; Lang, Yu-quan

doi:10.1016/s1006-1266(07)60039-x

Cited by 8 publications

(11 citation statements)

References 5 publications

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“…This is preferably consistent with the density of the coal rock; a larger reservoir space results in a lowercoal rock density, and conversely, the coal rock itself is further densified. In the research area, the coalbed density is relatively small andthe maximum density difference between the lowest and highest density values is only 0.21 g/cm 3 . The coalbed density distribution displayed several zones as detailed in Fig.…”

Section: Coalbed Structurementioning

confidence: 91%

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Differences in the Methane Contents in the Coalbed Methane Enrichment Region of the Southern Qinshui Basin, China

He¹

2017

Appl Ecol Env Res

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Abstract. The enrichment irregularity of coalbed methane has been a problem for exploration and development. Great differences exist in methane enrichment even between different wells within a region. To study the main factors and reasons controlling these differences, we selected a relatively mature development block within a coalbed methane enrichment region of the Southern Qinshui Basin, China. Using individual well data, 3D seismic data, and methane content data and considering the coalbed methane (CBM) reservoir as a closed system, we analysed the enrichment irregularity of CBM in coalbed 3# and the various geologic factors influencing the enrichment.The results show that the CBM reservoir formation resulted from an interaction of various geologic factors, the evolution process is irreversible, and all of these factors are subject to certain internal relationships. The enrichment is controlled by several factors, such as tectonic development, formation pressure, coalbed structure, properties of roof strata, and hydrogeological conditions. Among these, formation pressure and coalbed structure are the most likely factors to cause differences in methane contents. Burial depth affects formation pressure, which consequently affects the saturation level of CBM in its adsorption state. Moreover, the coalbed structure determines the development of the reservoir space.Larger reservoir space and higher coalbed pressure are more favourable for CBM enrichment and the best enrichment region appears where both factors correlate well,this is particularly obvious in synclinal areas. Furthermore, tectonic development controls the overall form of CBM reservoirs, fault development reduces methane content and the mudstone cap provides a trap condition for CBM accumulation.

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Section: Coalbed Structurementioning

confidence: 91%

“…1) is an important CBM region that contains reserves up to 3.28×10 12 m 3 .It is considered the most valuable region for CBM exploration and development (Cai et al, 2011;Su et al, 2005). East block 1 of the Sihe Mine is a relatively mature block located within the CBM enrichment region.…”

Section: Introductionmentioning

confidence: 99%

Differences in the Methane Contents in the Coalbed Methane Enrichment Region of the Southern Qinshui Basin, China

He¹

2017

Appl Ecol Env Res

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“…In China, the Beijing University of Aeronautics and Astronautics first developed EMC prediction software for aircraft EMC prediction in the 1990s. Chen [88] studied the prediction of electromagnetic compatibility between radio systems. He also developed software for electromagnetic compatibility prediction, analysis, and simulation between systems.…”

Section: Electromagnetic Environmental Effects Evaluation Systemmentioning

confidence: 99%

A Review of Quantitative Evaluation of Electromagnetic Environmental Effects: Research Progress and Trend Analysis

Wei

2023

Sensors

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With the increasing complexity of the electromagnetic environment, existing electronic systems and various equipment are greatly threatened. The study of the assessment of the effects of the electromagnetic environment has attracted more and more attention in the academic field and industry. In this review, the definition of the electromagnetic environmental effects assessment could be classified into two categories: objective and subjective equipment electromagnetic environmental effect assessments. Studies on both are comprehensively reviewed. The electromagnetic environmental effect assessment models are described and analyzed. The effects evaluation models mainly calculate the electromagnetic environmental effect index by various weighting, probability, and normalized interference level methods. However, each proposed model has certain limitations, so it cannot deal with all the electromagnetic interference effects. Therefore, a comprehensive evaluation model for complex electromagnetic environmental effects has not yet been established. Recent studies have shown that neural networks can be used to improve the adaptability of evaluation models in electromagnetic environments. The evaluation result of the normalized interference level method is more consistent with the actual work efficiency. The combination of the two can unify the objective and subjective assessments, which is of great significance to the improvement of the consistency and accuracy of the results of the effects evaluation of the electromagnetic environment. Accordingly, challenges for future research are revealed, which plays a vital role in the development of electromagnetic environmental effects research and provides a reference for researchers.

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“…According to the survey, the impact of mine development on the ecological environment is mainly manifested in the destruction and occupation of land resources, the waste and pollution of water resources, and the destruction of biodiversity of the ecological environment [1][2][3]. In 2002, the China Geological Survey (CGS) started the survey and evaluation of the geological environment of mines in China, taking the province as the unit; In 2007, Chen Qiao, Wang Bingqiang and others established a set of quantitative mine environmental assessment process by using the analytic hierarchy process (AHP); In 2010, Huang Junbao established a mine geological environment assessment system in Fujian Province, and made a comprehensive assessment analysis of mine geological environment in Fujian Province based on MAPGIS; In 2015, Liao Hongjun, Shao Huaiyong and others built a mine geological environment evaluation index system in Panxi mining area, and used decision analysis method to evaluate the mine geological environment in Panxi [4][5][6]. Using RS and GIS IOP Publishing doi:10.1088/1755-1315/1171/1/012050 2 technology to carry out mine environment assessment can grasp the mine development status, mining area and surrounding ecological environment status macroscopically, dynamically, accurately and objectively [7][8].…”

Section: Introductionmentioning

confidence: 99%

Mine environment evaluation in Anhui Province based on RS and GIS

Liu

Yang

Dong³

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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In order to understand the extent of damage to the environment and the scope of impact of mine development, using domestic high resolution satellite data, application of remote sensing and geographic information system technology, for comprehensive evaluation of the mining environment in Anhui Province, through the analytic hierarchy process, the quantitative analysis and zoning study of the mine environmental conditions are carried out, 16 evaluation factors were determined, and the comprehensive evaluation index model of mine geological environment was established, set comprehensive evaluation grade. Through analysis and research, the mining geological environment in Anhui Province is divided into four grades: seriously affected area, relatively seriously affected area, generally affected area and non-affected area. Field investigation and verification were carried out in the area seriously affected by the geological environment of the mine. The results showed that use of RS and GIS technology to carry out mine environment assessment in Anhui Province can more accurately reflect the extent of damage and scope of impact of mine development on the environment, and provide relatively reliable technical support and scientific basis for subsequent mine environment restoration and management.

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Prediction of Coal Seam Methane Enriched Areas Using Seismic Data

Cited by 8 publications

References 5 publications

Differences in the Methane Contents in the Coalbed Methane Enrichment Region of the Southern Qinshui Basin, China

Differences in the Methane Contents in the Coalbed Methane Enrichment Region of the Southern Qinshui Basin, China

A Review of Quantitative Evaluation of Electromagnetic Environmental Effects: Research Progress and Trend Analysis

Mine environment evaluation in Anhui Province based on RS and GIS

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