Combining reactive transport modeling with geochemical observations to estimate the natural gas hydrate accumulation
Combining reactive transport modeling with geochemical observations to estimate the natural gas hydrate accumulation
复制标题
将反应输运模型与地球化学观测相结合来估计天然气水合物的积累
DOI:
10.1016/j.apenergy.2020.115362
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发表时间:
2020-10
期刊:
影响因子:
11.2
通讯作者:
Shang Songhua
中科院分区:
文献类型:
--
作者:
Tian Hailong;Yu Ceting;Xu Tianfu;Liu Changling;Jia Wei;Li Yuanping;Shang Songhua
Predicting the distribution and resource of gas hydrates and understanding gas hydrate forming mechanisms are critical for assessing natural gas hydrate exploration potential, as well as exploiting hydrates. This study aims to provide a portable solution for evaluating resource of natural gas hydrate and quantifying contribution of methane sources via numerical simulations constrained by site-specific data. To numerically describe the complex process of biogenic methane production, an integrated simulation package, TOUGH+ Hydrate+ React (TOUGH+ HR), was developed by coupling reactive transport, biodegradation and deposition of organic matter with behavior of hydrate-bearing system. Based on observed data from site SH2 in the South China Sea, a growing one-dimensional column model was constructed, and simulated via the developed TOUGH+ HR tool. The results showed that when considering biogenic methane was the only source for hydrate, simulated maximum saturation of hydrate reached~ 0.19, which is much lower than the observed value (~ 0.46), suggesting that the in-situ biogenic methane is not enough to form the high-saturation hydrate. When the upward flux of methane (considered as thermogenic methane) increased to 1.00× 10− 11 k g· m-2· s-1, both simulated saturation and distribution of hydrates matched the observed data well, including the profile of remained total organic carbon (TOC), the location of interface between dissolved methane and sulfate (SMI), and the derived chlorinity. Simulation results suggest that the ratio of biogenic methane to thermogenic methane forming hydrates was about 1: 3. Predicted amount of methane hydrate using the column model was 3258.33 kg, very close to the estimated based on field observation (3112.82 kg).
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影响因子:
56.9
作者:
D. Stolper;M. Lawson;C. Davis;Alexandre A. Ferreira;E. Neto;Geoffrey S. Ellis;M. Lewan;A. Martini-A.-Mart
通讯作者:
D. Stolper;M. Lawson;C. Davis;Alexandre A. Ferreira;E. Neto;Geoffrey S. Ellis;M. Lewan;A. Martini-A.-Mart
影响因子:
4.2
作者:
E. Piñero;C. Hensen;M. Haeckel;W. Rottke;T. Fuchs;K. Wallmann
通讯作者:
E. Piñero;C. Hensen;M. Haeckel;W. Rottke;T. Fuchs;K. Wallmann
影响因子:
5
作者:
A. Milkov;G. Claypool;Youngjoo Lee;R. Sassen
通讯作者:
A. Milkov;G. Claypool;Youngjoo Lee;R. Sassen
DOI:
10.4043/20485-ms
发表时间:
2010
期刊:
--
影响因子:
--
作者:
N. Wu;Shengxiong Yang;Haiqi Zhang;Jinqiang Liang;Hongbin Wang;Jing’an Lu
通讯作者:
N. Wu;Shengxiong Yang;Haiqi Zhang;Jinqiang Liang;Hongbin Wang;Jing’an Lu
影响因子:
--
作者:
Zhenyuan Yin;Z. Chong;H. K. Tan;Praveen Linga
通讯作者:
Zhenyuan Yin;Z. Chong;H. K. Tan;Praveen Linga