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New evidence of Silurian hydrocarbon accumulation is discovered by fluid inclusion analysis in the South Yellow Sea Basin 被引量:2
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作者 Jie Liang Jian-wen Chen +3 位作者 Yin-guo zhang Guang-xi Ou peng-hui zhang Yong Yuan 《China Geology》 2019年第1期110-111,共2页
1.Objective Fluid inclusions are the only way to obtain the volatile components in the process of hydrocarbon accumulation. The Marine Paleozoic strata in the South Yellow Sea Basin are of great thickness and widely d... 1.Objective Fluid inclusions are the only way to obtain the volatile components in the process of hydrocarbon accumulation. The Marine Paleozoic strata in the South Yellow Sea Basin are of great thickness and widely distributed. The Lower Paleozoic source rocks, reservoirs and caprocks are developed and have generally good hydrocarbon geological conditions. 展开更多
关键词 EVIDENCE INCLUSION HYDROCARBON
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Identification of waterflooded zones and the impact of waterflooding on reservoir properties of the Funing Formation in the Subei Basin,China 被引量:4
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作者 peng-hui zhang Jin-liang zhang +6 位作者 Wei-wei REN Jun XIE Ming LI Jing-zhe LI Fang DING Jin-kai WANG Zi-rui DONG 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2013年第2期147-154,共8页
This paper describes the identification of waterflooded zones and the impact of waterflooding on reservoir properties of sandstones of the Funing Formation at the Gao 6 Fault-block of the Gaoji Oilfield,in the Subei B... This paper describes the identification of waterflooded zones and the impact of waterflooding on reservoir properties of sandstones of the Funing Formation at the Gao 6 Fault-block of the Gaoji Oilfield,in the Subei Basin,east China.This work presents a new approach based on a back-propagation neural network using well log data to train the network,and then generating a cross-plot plate to identify waterflooded zones.A neural network was designed and trained,and the results show that the new method is better than traditional methods.For a comparative study,two representative wells at the Gao 6 Fault-block were chosen for analysis:one from a waterflooded zone,and the other from a zone without waterflooding.Results from this analysis were used to develop a better understanding of the impact of waterflooding on reservoir properties.A range of changes are shown to have taken place in the waterflooded zone,including changes in microscopic pore structure,fluids,and minerals. 展开更多
关键词 WATERFLOODING Reservoir properties Neural network Gao 6 Fault-block Gaoji Oilfield
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