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Prediction model for spontaneous combustion temperature of coal based on PSO-XGBoost algorithm
Published 2025-01-01“…In this paper, on the basis of programming temperature experiment and industrial analysis, 381 data sets of 9 coal types are established, and feature selection was executed through the utilization of the Pearson correlation coefficient, ultimately identifying O2, CO, CO2, C2H4, C3H8, C3H8/CH4, C2H4/CH4, C2H4/C3H8, CO2/CO, and CO/O2 as input indicators for the prediction model. …”
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Some features of geological structure of the Shikotan Island (Lesser Kuril Arc)—A view from 'Space'
Published 2024-11-01“…Despite these positive results, analysis of satellite images of Shikotan Island unexpectedly has not confirmed the existence of the Central Shikotan thrust fault, the largest previously mapped tectonic structure on the island. …”
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1225
Coal accumulation control on gas and coalbed methane exploration potential in southern Ordos Basin: A case study of Carboniferous Taiyuan Formation in Xunyi exploration area
Published 2025-04-01“…By using experimental analysis methods such as industrial analysis, scanning electron microscopy, and isothermal adsorption, along with well-logging modeling evaluation, the characteristics of coal petrology and coal quality, reservoir physical properties, and gas content were investigated. …”
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1226
Enhancing Quality Control of Packaging Product: A Six Sigma and Data Mining Approach
Published 2023-12-01“…The research methodology encompasses defining the problem through SIPOC and Critical to Quality (CTQ) diagrams, measuring via control charts and sigma level calculations, and analyzing using tools like pareto diagrams, Apriori algorithms, fishbone diagrams, and Fault Mode and Effect Analysis (FMEA). Key findings reveal a notable correlation between spot defects and varying colors, leading to pearl defects as identified by the Apriori algorithm. …”
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Progress in digital and intelligent technologies for complex giant systems in green coal development
Published 2024-11-01“…We have proposed intelligent control methods for mining systems under the intelligent logic model framework, intelligent mining complex scene comprehensive mining equipment group posture recognition methods, global optimal planning strategies and collaborative control methods, equipment health status recognition and fault diagnosis methods; Interpreting the concept of “transparent geology”, proposing a path for transparent geological security technology, developing geological transparency technologies such as fine geophysical exploration and drilling, dynamic monitoring of surrounding rock conditions, multi-source high-precision data collection, multi-source heterogeneous data fusion and interpretation, innovating geological digitalization technologies such as static geological modeling, dynamic geological modeling, precise geological security of working faces, multi-source geological data interpretation and fusion, multi-attribute dynamic high-precision modeling, synchronous mapping of geological information, mining information modeling, etc., analyzing the application value of “transparent geology” technology in underground resource development geological structure exploration degree, revealing the physical and mechanical properties of coal and rock, “three field” changes, hidden disaster factor prediction, etc; Analyzed green mining technologies, including green sedimentation reduction and water conservation mining technologies, as well as well as collaborative management and ecological restoration technologies above and below the well; Case analysis was conducted around three technologies: intelligent mining, transparent geology, and green mining. …”
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Noise Reduction in CWRU Data Using DAE and Classification with ViT
Published 2024-12-01Get full text
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Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt
Published 2025-01-01“…The results show that this integrated approach reduces exploration risk, quantifies the chance of success, and enhances decision-making in well placement and hydrocarbon exploration. This method is particularly useful for identifying low seismic amplitude anomalies, which are often challenging to detect with conventional seismic analysis. (1) This study developed a workflow to detect low seismic amplitude gas fields in near-field exploration. (2) It uses a machine learning algorithm to classify and explore low-seismic-amplitude gas sand reservoirs. (3) This approach helps estimate the likelihood of success and reduces the risk associated with hydrocarbon exploration wells.…”
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1234
Modeling and forecast of gas hydrate distribution in the Black Sea: main principles and approaches
Published 2025-06-01Get full text
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1235
Occurrence characteristics and utilization potential of scarce coking coal resources in Huaibei coalfield
Published 2025-02-01“…By establishing an evaluation index system for the development and utilization of scarce coking coal resources, and using the hierarchical fuzzy evaluation method, each mine and exploration area are divided into four types of development zones: favorable, relatively favorable, general, and unfavorable. …”
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Poroelasticity and Fluid Flow Modeling for the 2012 Emilia-Romagna Earthquakes: Hints from GPS and InSAR Data
Published 2018-01-01“…We also show that accounting for a 3D fault representation with a nonuniform slip distribution and the elastic-hydraulic layering of the half-space has an important role in the simulation results.…”
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Facies changes, sedimentary environments and sequence stratigraphy of the lower Carboniferous deposits in the Kalmard area, Central Iran, Member D of Gachal formation
Published 2025-09-01“…With respect to complete Unit D in the southern part of Kalmard area and a necessary of the study of sequence stratigraphy of Tournaisian–Visean strata in this part of Central Iran, this stratigraphic section has been selected. Materials & MethodsFor identification of microfacies characters and analysis, environmental conditions, and sequence stratigraphy of unit D of Gachal formation, the Godar-e-Gachal section has been selected that has 50.4 m thickness. …”
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Technical countermeasures for deep pumping of highly deviated wells in deep reservoir
Published 2023-04-01“…At the same time, the effect analysis and experience summary are carried out for oil wells with different reservoir properties and different liquid supply capacity, and the feasibility evaluation method of deep pumping in different oil wells is formed.…”
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