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Andrei Osiptsov

Researcher at Skolkovo Institute of Science and Technology

Publications -  68
Citations -  785

Andrei Osiptsov is an academic researcher from Skolkovo Institute of Science and Technology. The author has contributed to research in topics: Hydraulic fracturing & Fracture (geology). The author has an hindex of 13, co-authored 62 publications receiving 524 citations. Previous affiliations of Andrei Osiptsov include Moscow State University.

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Fluid Mechanics of Hydraulic Fracturing: a Review

TL;DR: A review of the state of the art in multiphase fluid mechanics modeling of hydraulic fracturing, highlighting gaps in the body of knowledge and clarifying the questions that are still open.
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A predictive model for steady-state multiphase pipe flow: Machine learning on lab data

TL;DR: A method of pressure drop calculation in the pipeline based on well segmentation and calculation of the pressure gradient in each segment using three surrogate models based on Machine Learning (ML) algorithms trained on a representative lab data set from the open literature.
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Data-driven model for hydraulic fracturing design optimization: focus on building digital database and production forecast

TL;DR: In this article, the authors proposed a data-driven model for hydraulic fracturing design optimization, where the workflow is essentially split into two stages, and the prediction capability of the model is measured with the coefficient of determination (R 2 ) and reached 0.15.
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Dynamic bridging of proppant particles in a hydraulic fracture

TL;DR: In this article, a dynamic bridging criterion for the arching and bridging of spherical particles in a 3D suspension flow through a channel with plane walls is proposed. But the authors focus on the 3D motion of particles in fluid and do not consider the effects of friction on the particles.