渤海湾盆地陈家庄油田陈22块微生物异常分布研究

2017年 39卷 第1期
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Microbial anomaly distribution in Chen22 block, Chenjiazhuang oil field, Bohai Bay Basin
杨帆 沈忠民 汤玉平 许科伟 顾磊
Yang Fan Shen Zhongming Tang Yuping Xu Kewei Gu Lei
成都理工大学 油气藏地质及开发工程国家重点实验室, 成都 610059 2. 中国石化 石油勘探开发研究院 无锡石油地质研究所, 江苏 无锡 214126
State Key Laboratory of Oil-Gas Reservoirs Geology and Exploitation, Chengdu University of Technology, Chengdu, Sichuan 610059, China 2. Wuxi Research Institute of Petroleum Geology, SINOPEC, Wuxi, Jiangsu 214126, China
为探索油气藏上方微生物异常分布,按照从线到面的研究思路,采集渤海湾盆地陈家庄油田陈22块油气藏上方土壤样品469个,采用MPN法检测出样品中油气指示微生物的数量并研究其分布特征。结果显示,在联井剖面上,甲烷氧化菌和烃氧化菌2种油气指示微生物异常区与对应油井位置有很高的吻合度,呈顶端异常,剖面南北两端具有明显的背景区,表明了2种油气指示微生物对油气藏烃类微渗漏的指示性是有效的。进一步对本区块油气微生物进行了面上精查,结合地质和钻井信息,解析了微生物异常与下覆油气藏分布的响应关系,结果表明地表土壤中油气微生物对下覆油气藏的分布有很好的指示作用,同时对钻井部署也有一定的参考价值。
We collected 469 soil samples above Chen22 block in Chenjiazhuang oil field in the Bohai Bay Basin in order to study the microbial anomaly distribution above oil reservoirs. Methane-oxidizing bacteria and hydrocarbon oxidizing bacteria in the soil samples were cultured, and the number of bacteria detected was counted by using the MPN method. There was a good alignment between the upper abnormalities of the two indicative microorganisms and the position of wells on the connecting-well profile which had an obvious background area on the north and south ends. It showed that the two kinds of microorganism were effective indicators for the hydrocarbon microseepage of reservoirs. Combined with geological and drilling information, the response between the abnormal distribution of microorganisms and the underlying reservoir was researched by an accurate survey on the area. The distribution of underground reservoirs could be predicted by detecting microbiological anomalies, which also had a certain guiding significance to well drilling.
甲烷氧化菌; 烃氧化菌; 热释烃; 微生物勘探; 陈家庄油田; 渤海湾盆地;
methane-oxidizing bacteria; hydrocarbon-oxidizing bacteria; pyrolysis-desorbed hydrocarbon; microbial prospecting; Chenjiazhuang oil field; Bohai Bay Basin;
国家自然科学基金“典型油气藏上方气态烃氧化微生物类群分布异常的深度解析”(41202241)资助。
https://doi.org/10.11781/sysydz201701141