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Easy synthesis of iron doped ordered mesoporous carbon with tunable pore sizes 被引量:1
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作者 Haodong Tang Guojun Lan +2 位作者 Jian Zhong Huazhang Liu Ying Li 《Journal of Natural Gas Chemistry》 EI CAS CSCD 2012年第3期275-281,共7页
Precise control of the pore sizes for porous carbon materials is of importance to study the confinement effect of metal particles because the pore size in nanosize range will decide the physical and chemical propertie... Precise control of the pore sizes for porous carbon materials is of importance to study the confinement effect of metal particles because the pore size in nanosize range will decide the physical and chemical properties of the metal nanoparticles. In this paper, we report a new approach for the synthesis of iron doped ordered mesoporous carbon materials with adjustable pore size using Fe-SBA-15 as hard template and boric acid as the pore expanding reagent. The pore size can be precisely adjusted by a step of 0.4 nm in the range of 3-6 nm. The carbonization temperature can be lowered to 773 K due to the catalytic role of the doped iron. The present approach is suitable for facile synthesis of metal imbedded porous carbon materials with tunable pore sizes. 展开更多
关键词 Fe-SBA-15 IRON mesoporous carbon semi-graphitic carbon adjustable pore size
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In-situ stress inversion in Liard Basin, Canada, from caliper logs 被引量:3
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作者 Hongxue Han Shunde Yin 《Petroleum》 CSCD 2020年第4期392-403,共12页
This paper proposes an integrated method of analytical calculation,artificial intelligence,and probabilistic analysis to cost-effectively determine geomechanical properties and in-situ stresses from borehole deformati... This paper proposes an integrated method of analytical calculation,artificial intelligence,and probabilistic analysis to cost-effectively determine geomechanical properties and in-situ stresses from borehole deformation via caliper logs.It's also demonstrated in this paper that the actual borehole size can not be simply taken as the bit size by default,and adjusted borehole size has to be used to find the reasonable borehole deformation.In the proposed method,an artificial neural network(ANN)is applied to map the relationship among in-situ stress,adjusted borehole size,geomechanical properties,and borehole displacements.The genetic algorithm(GA)searches for the set of unknown stresses and geomechanical properties that match the objective borehole deformation function.Probabilistic analysis is conducted after ANN-GA modeling to estimate the most possible ranges of the parameters.The hybrid method has been demonstrated by a field case study to estimate the adjusted borehole size,Young's modulus,and the two horizontal in-situ stresses using borehole deformation information reported from four-arm caliper logs of a vertical borehole in Liard Basin in Canada. 展开更多
关键词 Adjusted borehole size In-situ stress Caliper log Borehole deformation Artificial neural network Genetic algorithm Probabilistic analysis
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