Zobrazeno 1 - 10
of 2 907
pro vyhledávání: '"S., VISWANATHAN"'
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-8 (2024)
Abstract Orphaned wells are wells for which the operator is unknown or insolvent. The location of hundreds of thousands of these wells remain unknown in the United States alone. Cost-effective techniques are essential to locate orphaned wells to addr
Externí odkaz:
https://doaj.org/article/d066c355359c4b018799bba3283dbb84
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract To maximize knowledge transfer and improve the data requirement for data-driven machine learning (ML) modeling, a progressive transfer learning for reduced-order modeling (p-ROM) framework is proposed. A key concept of p-ROM is to selectivel
Externí odkaz:
https://doaj.org/article/7dd2e5b07df7413a9d25d1e30cddc0b3
Autor:
Jeffrey D. Hyman, Alexis Navarre‐Sitchler, Matthew R. Sweeney, Aleksandra Pachalieva, James W. Carey, Hari S. Viswanathan
Publikováno v:
Geochemistry, Geophysics, Geosystems, Vol 25, Iss 7, Pp n/a-n/a (2024)
Abstract We perform a set of reactive transport simulations in three‐dimensional fracture networks to characterize the impact of geochemical reactions on flow channelization. Flow channelization, a frequently observed phenomenon in porous and fract
Externí odkaz:
https://doaj.org/article/a1d43f34bdd14fccbafe96128117c1d8
Autor:
Aidan Stansberry, Matthew R. Sweeney, Jeffrey D. Hyman, Justin Strait, Zhou Lei, Hari S. Viswanathan, Philip H. Stauffer
Publikováno v:
Geotechnics, Vol 4, Iss 1, Pp 180-193 (2024)
Simulations of rock damage and gas transport following underground explosions that omit preexisting fracture networks in the subsurface cannot fully characterize the influence of geo-structural variability on gas transport. Previous studies do not co
Externí odkaz:
https://doaj.org/article/72064bcd72454a2d9310f50785a0aa16
Autor:
Satish Karra, Mohamed Mehana, Nicholas Lubbers, Yu Chen, Abdourahmane Diaw, Javier E. Santos, Aleksandra Pachalieva, Robert S. Pavel, Jeffrey R. Haack, Michael McKerns, Christoph Junghans, Qinjun Kang, Daniel Livescu, Timothy C. Germann, Hari S. Viswanathan
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Throughout computational science, there is a growing need to utilize the continual improvements in raw computational horsepower to achieve greater physical fidelity through scale-bridging over brute-force increases in the number of mesh elem
Externí odkaz:
https://doaj.org/article/221df8380a564ff2bc2f2aa2871fdf42
Autor:
Matthew R. Sweeney, Jeffrey D. Hyman, Daniel O’Malley, Javier E. Santos, J. William Carey, Philip H. Stauffer, Hari S. Viswanathan
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 21, Pp n/a-n/a (2023)
Abstract We model flow and transport in fracture networks with varying degrees of fracture‐to‐fracture aperture heterogeneity and network intensity to show how changes in these properties can cause the emergence of anomalous flow and transport be
Externí odkaz:
https://doaj.org/article/f2f922b7f0384385b1fba353180bd7c0
Autor:
Jessie M. Henderson, Marianna Podzorova, M. Cerezo, John K. Golden, Leonard Gleyzer, Hari S. Viswanathan, Daniel O’Malley
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Solving large systems of equations is a challenge for modeling natural phenomena, such as simulating subsurface flow. To avoid systems that are intractable on current computers, it is often necessary to neglect information at small scales, a
Externí odkaz:
https://doaj.org/article/857c507a01ee43fd843aeecca6e15796
Autor:
Teeratorn Kadeethum, Daniel O’Malley, Francesco Ballarin, Ida Ang, Jan N. Fuhg, Nikolaos Bouklas, Vinicius L. S. Silva, Pablo Salinas, Claire E. Heaney, Christopher C. Pain, Sanghyun Lee, Hari S. Viswanathan, Hongkyu Yoon
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract We propose the use of reduced order modeling (ROM) to reduce the computational cost and improve the convergence rate of nonlinear solvers of full order models (FOM) for solving partial differential equations. In this study, a novel ROM-assis
Externí odkaz:
https://doaj.org/article/5e08c471c24a40a0bf3159b2193bb9fa
Autor:
Nishant A. Nair, T. S. Viswanathan
Publikováno v:
Materiales de Construccion, Vol 73, Iss 350 (2023)
This paper examines the effect on mechanical properties such as compressive strength, flexural strength, and dynamic modulus of elasticity (DYE) of different proportions of wollastonite (β-CaSiO3) and colloidal nano-silica (n-SiO2) partially replaci
Externí odkaz:
https://doaj.org/article/14e2d9acba5d4d3e9b3acb39ee984ae3
A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
Autor:
Shriram Srinivasan, Daniel O’Malley, Maruti K. Mudunuru, Matthew R. Sweeney, Jeffrey D. Hyman, Satish Karra, Luke Frash, J. William Carey, Michael R. Gross, George D. Guthrie, Timothy Carr, Liwei Li, Hari S. Viswanathan
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract We present a novel workflow for forecasting production in unconventional reservoirs using reduced-order models and machine-learning. Our physics-informed machine-learning workflow addresses the challenges to real-time reservoir management in
Externí odkaz:
https://doaj.org/article/19a3100ba9fc42afae2d745226851b22