4 resultados para NGH
Resumo:
Natural gas hydrate (NGH) reservoirs have been considered as a substantial future clean energy resource and how to recover gas from these reservoirs feasibly and economically is very important. Microwave heating will be taken as a promising method for gas production from gas hydrates for its advantages of fast heat transfer and flexible application. In this work, we investigate the formation/decomposition behavior of natural gas hydrate with different power of microwave (2450MHZ), preliminarily analyze the impact of microwave on phase equilibrium of gas hydrate,and make calculation based on van der Waals-Platteeuw model. It is found that microwave of a certain amount of power can reduce the induction time and sub-cooling degree of NGH formation, e.g., 20W microwave power can lead to a decrease of about 3A degrees C in sub-cooling degree and the shortening of induction time from 4.5 hours to 1.3 hours. Microwave can make rapid NGH decomposition, and water from NGH decomposition accelerates the decomposition of NGH with the decomposition of NGH. Under the same pressure, microwave can increase NGH phase equilibrium temperature. Different dielectric properties of each composition of NGH may cause a distinct difference in temperature in the process of NGH decomposition. Therefore, NGH decomposition by microwave can be affected by many factors.
Resumo:
The changes of electrical resistance (R) were studied experimentally in the process of CH4 hydrate formation and decomposition, using temperature and pressure as the auxiliary detecting methods simultaneously. The experiment results show that R increases with hydrate formation and decreases with hydrate decompositon. R is more sensitive to hydrate formation and decompositon than temperature or pressure, which indicates that the detection of R will be an effective means for detecting natural gas hydrate (NGH) quantitatively.
Resumo:
This paper is intended to determine the appropriate conditions for replacing CH4 from NGH with CO2. By analyzing the hydration equilibrium graphs and geotherms, the HSZs of NGH and CO2 hydrate, both in permafrost and under deep sea, were determined. Based on the above analysis and experimental results, it is found that to replace CH4 from NGH with gaseous CO2, the appropriate experimental condition should be in the area surrounded by four curves: the geotherm, (H-V)(CO2), (L-V)(CO2) and (H-V)(CH4), and to replace CH4 from NGH with liquid CO2, the condition should be in the area surrounded by three curves: (L-V)(CO2), (H-L)(CO2) and (H-V)CH4. For conditions in other areas, either CO2 can not form a hydrate or CH4 can release little from its hydrate, which are not desirable results.
Resumo:
Con el propósito de evaluar la influencia del número de hileras en la mazorca de progenitores maternos (10, 12, 14, 16, 18, 20) sobre variables asociadas al rendimiento, estimar grados de asociación fenotípica entre rasgos y su variabilidad genética, se estableció un experimento de campo en bloques completos al azar (BCA) con cuatro réplicas, en la Finca Santa Rosa propiedad de la UNA, en época de postrera del 2014. Las variables analizadas fueron: Longitud de la mazorca (LM), diámetro de la mazorca (DM) , número de granos por hilera (NGH), peso de 100 granos (P100G), numero de hileras por mazorca ( NHM),peso de la mazorca (PM),peso en grano por mazorca (PGM), mediante los procedimientos de SAS, con estadísticos descriptivos, correlaciones de Pearson y análisis de varianza con regresión de los caracteres maternos sobre los de progenie. Los tratamientos que presentaron promedios más altos para LMp, DMp, NHMp, PMp, PGMp fueron los de 14 y 18 hileras. El tratamiento con 16 hileras mostró la más alta variación fenotípica (CV). Las correlaciones fenotípicas de progenies más destacadas fueron: PMp con PGMp y DMp; PMp con NGHp; DMp con PGMp; PMp con NGHp; NGHp con PGMp; y LMp con PMp, todas ellas positivas y altamente significativas. Las correlaciones fenotípicas entre variables de la progenie con progenitor materno más notorias fueron LM, con NHM y P100G. Del análisis de varianza, el factor NHMm fue altamente significativo para LMp y NHMp y en menor grado para DMp y P100Gp. Se estimaron niveles de variabilidad genética importante en rasgos como LMp, NHMp y NGHp, con valores de heredabilidad entre 0.36 y 0.46, los cuales son muy promisorios para programas de mejoramiento genético participativo.