Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Evgenii Kanin"'
We analyse the influence of fluid yield stress on propagation of a radial (penny-shaped) hydraulic fracture in a permeable reservoir. In particular, the Herschel-Bulkley rheological model is adopted that includes yield stress and non-linearity of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b46d1a7788c7a90898d8011be8ff3a6
https://doi.org/10.31223/x5pg73
https://doi.org/10.31223/x5pg73
We propose a novel approach to data-driven modeling of a transient production of oil wells. We apply the transformer-based neural networks trained on the multivariate time series composed of various parameters of oil wells measured during their explo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::232c9adbadf1d878fee037fccc9d7406
http://arxiv.org/abs/2110.06059
http://arxiv.org/abs/2110.06059
This chapter considers a model for a radial hydraulic fracture propagation in a permeable, linear elastic rock formation driven by a point source fluid injection. The linear elastic fracture mechanics theory controls the quasi-static propagation. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::750a1e1e871deb138c7555d3702f2dc5
https://doi.org/10.31223/x5762d
https://doi.org/10.31223/x5762d
Publikováno v:
Journal of Petroleum Science and Engineering. 180:727-746
Engineering simulators used for steady-state multiphase flows in oil and gas wells and pipelines are commonly utilized to predict pressure drop and phase velocities. Such simulators are typically based on either empirical correlations (e.g., Beggs an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a890f9216ca155cb25a49474b05f9eac
https://doi.org/10.1016/j.petrol.2019.05.055
https://doi.org/10.1016/j.petrol.2019.05.055
Autor:
V. A. Krasnov, Evgenii Kanin
Publikováno v:
Neftyanoe khozyaystvo - Oil Industry. 6:84-89
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ff90c7264edd332c152ad12d139c8d1
https://doi.org/10.24887/0028-2448-2019-6-84-89
https://doi.org/10.24887/0028-2448-2019-6-84-89
Publikováno v:
82nd EAGE Annual Conference & Exhibition.
Summary We investigate the influence of fluid yield stress on propagation of a radial hydraulic fracture in a permeable reservoir. The hydraulic fracturing fluid rheology is governed by Herschel-Bulkley model including yield stress and non-linearity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::841f3d765533a551a02c636e435951f4
https://doi.org/10.3997/2214-4609.202113288
https://doi.org/10.3997/2214-4609.202113288
Autor:
Egor Sergeevich Baryshnikov, Stanislav Olegovich Ternovenko, Andrei Osiptsov, Alexander Sergeevich Prutsakov, Evgenii Kanin, Albert Vainshtein, Evgeny Burnaev, Grigoriy Vladimirovich Paderin
Publikováno v:
Day 2 Tue, October 27, 2020.
In this paper, we demonstrate the ability to run an adaptation on field data for a steady-state multiphase pipe flow model for calculating the bottomhole pressure of an inclined well using the deviation survey data, wellhead parameters (pressure, pha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9438b2eba916b34f3ccc4b6f24e82344
https://doi.org/10.2118/201942-ms
https://doi.org/10.2118/201942-ms
Summary This work is devoted to an analysis of the near-tip region of a hydraulic fracture driven by slickwater in a permeable saturated rock. We consider a steady-state problem of a semi-infinite fracture propagating with constant velocity. The host
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc536bd1d4be9dc686024f9a407477c0
https://eartharxiv.org/bq2t6
https://eartharxiv.org/bq2t6
This paper investigates the problem of a radial (or penny-shaped) hydraulic fracture propagating in a permeable reservoir. In particular, we consider the fluid exchange between the crack and ambient porous media as a pressure-dependent process. In mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a2229fee3f142d54ac51aac601e5ce5
https://doi.org/10.31223/osf.io/dgh4k
https://doi.org/10.31223/osf.io/dgh4k
Publikováno v:
First EAGE Digitalization Conference and Exhibition.
Summary The present work considers the development of a machine learning model trained on synthetic and lab data for the steady-state multiphase pipe flow. We propose a new method for calculating flow characteristics such as liquid holdup, flow regim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e9e5fbd4afc2a8b642ceff92c5b9138
https://doi.org/10.3997/2214-4609.202032071
https://doi.org/10.3997/2214-4609.202032071