Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shekhar V. Gosavi"'
Publikováno v:
Proceedings of the 7th Unconventional Resources Technology Conference.
Autor:
Kedar Kirane, Sandeep Kumar, Erika A. O. Biediger, Nygaard Kris J, Pablo F. Sanz, Shekhar V. Gosavi, Jorge L. Garzon, Kevin H. Searles
Publikováno v:
Day 2 Tue, November 14, 2017.
This article describes the development, validation, and application of a fully coupled Finite Element (FE) framework for modeling of hydraulic fractures in the context of a diverse set of oil & gas (O&G) problems. The models have been developed withi
Publikováno v:
Day 4 Thu, November 10, 2016.
We present a method for modeling the transient growth of drilling-induced fractures through a porous medium in the near wellbore region. Understanding the early time fracture growth behavior, and related near wellbore stress state, can provide an eff
Publikováno v:
Day 3 Wed, September 30, 2015.
We present a method for modeling drilling induced fractures dynamic growth through a porous medium in the near wellbore region. Understanding the early time fracture growth behavior, and related near wellbore stress state, can provide an effective to
Autor:
B. R. Crawford, Hamad Al Junaibi, Morten Grini, Shekhar V. Gosavi, Steinar Ottesen, Douglas A. Boyd, Wallace Martin, John D. Jorden, B. Alramahi
Publikováno v:
All Days.
Significant rock strength anisotropy associated with weak bedding laminations in shale can lead to wellbore instability challenges especially when drilling Extended Reach Drilling (ERD) wells that require low angles of attack relative to the formatio
This chapter introduces ant colony optimization as a method for computing minimum Steiner trees in graphs. Tree computation is achieved when multiple ants, starting out from different nodes in the graph, move towards one another and ultimately merge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de5d5b8bdf6127ee04a1f4784a3a1516
https://doi.org/10.4018/978-1-59904-941-0.ch088
https://doi.org/10.4018/978-1-59904-941-0.ch088
Publikováno v:
SIS
The ant systems optimization approach is a new method of solving combinatorial optimization problems. It was originally introduced as a metaheuristic approach for the well-known traveling salesman problem. But it was subsequently shown to be an equal