Seismic attribute analysis of coal seams intruded by magmatic rock

Chen, Fangbo; Zhu, Jie; Wang, Jiabao; Yang, Yang; Iqbal, Ibrar; TianYu, Zhang; Li, Ping

doi:10.1080/10916466.2022.2033263

Cited by 8 publications

(2 citation statements)

References 12 publications

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“…matching research in the Arctic Passage [24][25][26][27]. The infrastructure and its matching process are determined on the basis of the fundamental logic and ideas of the geopolitical environmental system of the Arctic Passage, as shown in Fig 2 . Flexible and simple functions, such as map settings and map analyses of GIS, are employed in the geopolitical environment matching process to provide quantitative and visual geodata support and services for the international activities involving Chinese vessels in the Arctic Ocean.…”

Section: Plos Onementioning

confidence: 99%

Spatial match analysis of multiple factors in the geopolitical environment of the Arctic Passage

et al. 2022

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This study seeks to provide a basic approach to fulfill the spatial visualization of geopolitical environmental factors required for the navigation of vessels in the Arctic. Multi-dimensional geopolitical environmental factors of the Arctic Passage are analyzed and classified into geopolitics, geoeconomics, geo-military, geoculture, and laws and regulations related to geography. Their characteristics are extracted to form an attribute information table matching spatial layers. Based on the information category and basic characteristics, the spatial match method is applied and connected with the spatial layers to examine the spatial point, polyline, and polygon. According to the qualitative description, the study extracted the quantitative indicators for the following spatial–temporal pattern analysis. The standard deviational ellipse is used to analyze the spatial–temporal patterns and trends of the geopolitical environmental indicators of the Arctic Passage in the Arctic and Northeast Asia. The expansion and contraction of geoinformation coexist in the countries surrounding the Arctic Passage. The spatial–temporal changes indicate that the Arctic channel has a great economic impact on the Nordic countries and Northeast Asia, especially the coastal areas of China and Japan. The characteristic extraction and spatial match of the geopolitical environment provide integrated Arctic geoinformation inquiry and services for the diplomatic, administrative, and legal preparations required for Arctic navigation. Therefore, the geospatial analysis conducted provides scientific support and a basis for the geographical distribution and developing trends of visualization and spatial–temporal pattern in Arctic navigation. The results of this research will help decision-makers to make a comprehensive judgment on governance related to the sustainable development of the Arctic Passage.

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Section: Plos Onementioning

confidence: 99%

Spatial match analysis of multiple factors in the geopolitical environment of the Arctic Passage

et al. 2022

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“…There are many methods for studying microscopic characteristics (Chen et al, 2022;Yang et al, 2022aYang et al, , 2022bZhu et al, 2022). In this study, SEM was used to observe the microstructure characteristics of coal.…”

Section: Analysis Of Coal Microstructure Characteristicsmentioning

confidence: 99%

Desensitization effect of chemically induced coal components at room temperature: An experimental study

Chen³

et al. 2022

Energy Exploration & Exploitation

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This study was conducted to address the rock burst problem caused by serious stress concentrations in coal seams. Based on the principle of inducing agent corrosion affecting coal components to soften coal, different inducers were selected to study the desensitization effect of acid leaching induction on coal components. The microscopic behavior characteristics of coal under acid leaching were analyzed, and the qualitative and quantitative laws were obtained for different acid leaching times and microscopic behavior characteristics. The results show the following: (1) The mixed acid solution as an inducer has the effect of immersion, dissolution, and fracture on coal. During the reaction process, the internal pores of the coal expand, and the height of the external liquid decreases. The mixed acid solution had the best effect in terms of the removal of minerals in coal. (2) Under microscopic conditions, the internal crack width of the coal body expanded several times after mixed acid soaking; the difference in the unevenness before and after compression fracture was stable at 25–27%, and the mixed acid expanded the gap in the coal. (3) This practical study shows that the characterization changes of the mixed acid solution, injected into the borehole, combines the characteristics of the citric acid and phosphoric acid solution. The minerals around the borehole are dissolved, and the debris fuses with the solution. The liquid is viscous and forms a film on the surface of the solution. The mixed acid has a more obvious effect on the immersion and dissolution of coal.

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Reservoir rock typing assessment in a coal-tight sand based heterogeneous geological formation through advanced AI methods

Ashraf,

Shi,

Zhang

et al. 2024

Sci Rep

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Geoscientists now identify coal layers using conventional well logs. Coal layer identification is the main technical difficulty in coalbed methane exploration and development. This research uses advanced quantile–quantile plot, self-organizing maps (SOM), k-means clustering, t-distributed stochastic neighbor embedding (t-SNE) and qualitative log curve assessment through three wells (X4, X5, X6) in complex geological formation to distinguish coal from tight sand and shale. Also, we identify the reservoir rock typing (RRT), gas-bearing and non-gas bearing potential zones. Results showed gamma-ray and resistivity logs are not reliable tools for coal identification. Further, coal layers highlighted high acoustic (AC) and neutron porosity (CNL), low density (DEN), low photoelectric, and low porosity values as compared to tight sand and shale. While, tight sand highlighted 5–10% porosity values. The SOM and clustering assessment provided the evidence of good-quality RRT for tight sand facies, whereas other clusters related to shale and coal showed poor-quality RRT. A t-SNE algorithm accurately distinguished coal and was used to make CNL and DEN plot that showed the presence of low-rank bituminous coal rank in study area. The presented strategy through conventional logs shall provide help to comprehend coal-tight sand lithofacies units for future mining.

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Seismic attribute analysis of coal seams intruded by magmatic rock

Cited by 8 publications

References 12 publications

Spatial match analysis of multiple factors in the geopolitical environment of the Arctic Passage

Spatial match analysis of multiple factors in the geopolitical environment of the Arctic Passage

Desensitization effect of chemically induced coal components at room temperature: An experimental study

Reservoir rock typing assessment in a coal-tight sand based heterogeneous geological formation through advanced AI methods

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