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Application of High Density Non-Aqueous Fluid Technology in the Efficient Development and Production of Super-Deep Complicated Formations in the Tian Mountain Front Block

IADC/SPE Asia Pacific Drilling Technology Conference, 2016
Abstract The Tian Mountain Front Block in North Border of Tarim Basin is very complicated, such as ultra-thick composite gypsum-salt formation, high pressured brine layer, ultra-high temperature hydrocarbon zone, fragmented formation widely distributed in this Block, and narrow mud density window, so abnormal high pressure formations and
Yin Da   +7 more
openaire   +1 more source

Complex Study of Core and Fluid Samples from the Ural Super-Deep Well

1990
Studying the substances collected during super-deep drilling is one of the main elements of a general system of complex investigations. On the whole, this system consists of a number of elements: geological-geophysical observations of well-spudding areas, geophysical sounding of the borehole, etc.
V. I. Gorbachev   +3 more
openaire   +1 more source

Exceptionally Au-rich mid-crustal fluids from the Kola super deep borehole

2019
In the drillcore of the Kola super-deep borehole(SG-3, 12262m depth) gold bearing rocks of Archaean age have been located at depths of 9500 to 11000 m. Quartz veins, between 9052 and 10744 m, within this gold zone, contain fluid inclusions with exceptional concentrations of gold, which are present as nanoparticles. There are 4 types of fluid inclusions
Prokofiev, Y.   +8 more
openaire   +1 more source

Kola Super-deep — evidence of fluids in the Crust

2016
The author expresses gratitude to many colleagues for their participation and the help in carrying out various parts of the present study. This work has been supported by Soros Foundation and INTAS-93-273 grant.
openaire   +4 more sources

A Deep Journey into Super-resolution

ACM Computing Surveys, 2021
Saeed Anwar, Salman H Khan, Nick Barnes
exaly  

Spectral super-resolution meets deep learning: Achievements and challenges

Information Fusion, 2023
Jiang He, Qiangqiang Yuan, Huanfeng Shen
exaly  

Deep Learning for Image Super-Resolution: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Zhihao Wang   +2 more
exaly  

Deep Learning-based Face Super-resolution: A Survey

ACM Computing Surveys, 2023
Junjun Jiang, Xianming Liu
exaly  

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