Surface microbial geochemistry of the Beihanzhuang Oilfield, northern Jiangsu, China
Surface microbial geochemistry of the Beihanzhuang Oilfield, northern Jiangsu, China
复制标题
苏北北韩庄油田地表微生物地球化学
DOI：
10.1016/j.petrol.2020.107140
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发表时间：
2020-08
影响因子：
--
通讯作者：
Jiang-Hai Wang
中科院分区：
文献类型：
--
作者：
Qian-Zhi Zhou;Xiao-Ming Xu;Hong Xu;Gui-Zhou Zheng;Wei-Ling Pi;Yun-Lin Jiang;Xiang-Po Xu;Yan Li;Jiang-Hai Wang
地表微生物地球化学（SMG）是勘探阶段预测油气藏产状的有效工具。然而，对于处于生产阶段的油气田来说，由于现有的微生物指标有限，SMG的意义往往被削弱。采用非培养法，系统分析了北汉庄油田2个岩心和85个采样点表层土壤/沉积物样品中甲烷氧化菌（MOBs）和丁烷氧化菌（BOBs）的活菌和死菌丰度。结果表明：该区域取样深度为50 cm；活、总MOBs/BOBs丰度及其重叠关系的异常，可以清楚地反映地下油藏水平分布格局的变化。在实际应用中进一步提出了一种结合新型微生物指标的通用SMG策略。本研究可能为开发其他新的SMG微生物指标和促进其更广泛的应用提供新的线索。
Surface microbial geochemistry (SMG) is an effective tool to predict the occurrence of oil/gas deposits at the exploration phase. However, for oil/gas fields in the production period, the significance of SMG is always weakened since the existing microbial indicators for reservoir characterization by SMG are limited. In this study, we systematically analyzed the abundances of live and dead methane-oxidizing bacteria (MOBs) and butane-oxidizing bacteria (BOBs) in surface soils/sediments samples from two cores and 85 sampling sites in the Beihanzhuang Oilfield, China, using the culture-independent method. The results have demonstrated that the suitable sampling depth is 50 cm for this area; and the anomalies in the abundances of live and total MOBs/BOBs and their overlapping relation can clearly reflect the change in the horizontal distribution pattern of the subterranean oil reservoirs. A general SMG strategy integrated with novel microbial indicators has further been proposed in practical applications. Our work may provide a new clue for developing other new microbial indicators for SMG and promoting its wider applications.
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影响因子：
--
作者：
M. A. Rasheed;M. Kalpana;M. V. Prasanna;M. Lakshmi;T. Madhavi;D. Tiwari;D. J. Patil;A. M. Dayal;S. V. Raju
通讯作者：
M. A. Rasheed;M. Kalpana;M. V. Prasanna;M. Lakshmi;T. Madhavi;D. Tiwari;D. J. Patil;A. M. Dayal;S. V. Raju
影响因子：
3.7
作者：
Miqueletto PB;Andreote FD;Dias AC;Ferreira JC;Dos Santos Neto EV;de Oliveira VM
通讯作者：
de Oliveira VM
影响因子：
1.7
作者：
M. Baum;K. Bleschert;M. Wagner;M. Schmitt
通讯作者：
M. Baum;K. Bleschert;M. Wagner;M. Schmitt
影响因子：
4.4
作者：
A. Costello;M. Lidstrom
通讯作者：
A. Costello;M. Lidstrom
DOI：
10.15368/theses.2011.12
发表时间：
2011
期刊：
--
影响因子：
--
作者：
Brian Chan
通讯作者：
Brian Chan