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Yongpeng Sun

Researcher at Missouri University of Science and Technology

Publications -  10
Citations -  232

Yongpeng Sun is an academic researcher from Missouri University of Science and Technology. The author has contributed to research in topics: Reducer & Hydraulic fracturing. The author has an hindex of 7, co-authored 10 publications receiving 201 citations. Previous affiliations of Yongpeng Sun include China University of Petroleum.

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Journal ArticleDOI

Microfracture and Surfactant Impact on Linear Cocurrent Brine Imbibition in Gas-Saturated Shale

TL;DR: In this paper, a comprehensive experimental method was successfully developed to study the liquid imbibition in shale samples, which was used to evaluate the liquid intake of a rock sample, especially when it is treated by a surfactant.
Journal ArticleDOI

Optic imaging of single and two-phase pressure-driven flows in nano-scale channels

TL;DR: In this article, a lab-on-a-chip technique for direct visualization of the single and two-phase pressure-driven flows in nano-scale channels was developed, where concentration dependent fluorescence signal correlation was developed for the determination of flow rate.
Book ChapterDOI

Measurement and Impact Factors of Polymer Rheology in Porous Media

TL;DR: In the second stage, an external fluid such as water or gas is injected into the reservoir through injection wells located in the formation that have fluid communication with production wells to maintain reservoir pressure and displace hydrocarbons towards the wellbore.
Journal ArticleDOI

Experimental study of friction reducer flows in microfracture

TL;DR: In this paper, a micro-sized fluidic chip was used to represent the micro-fracture and friction reducer solution is used to block the pore entrance on fracture face to prevent the fluid from leak off and help pressure build up during slickwater fracturing.

Optic imaging of single and two-phase pressure-driven

TL;DR: A lab-on-a-chip technique for direct visualization of the single- and two-phase pressure-driven flows in nano-scale channels was developed, and the linearity correlation between flow rate and pressure drop in nanochannels was obtained and fit closely into Poiseuille's Law.