surface background
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2021 ◽  
Author(s):  
Janelle Branch Lewis ◽  
Adam Dassey ◽  
Daryl Grubb ◽  
Scott Marshall

Abstract In oil and gas operations, there is a potential for NORM scale to accumulate on process piping and equipment. This scale can be removed prior to recycling or disposal of the material, yet common removal methods may be costly, time consuming, or create large volumes of secondary waste streams that must be managed. The feasibility of using a laser beam delivery to remove NORM scale was investigated because of its potential to reduce the time and cost associated with scale removal without creating large secondary waste streams. Results from this study indicate that a laser beam delivery could be an effective method to remove NORM scale from a steel surface. Background levels of alpha and beta surface contamination and gamma exposure rate were achieved for certain pipe sections when applying a laser power of at least 5 kW. Alternative laser powers, linear speeds, or incident angles may optimize the removal efficiency for thicker scales or scales with higher surface contamination or gamma exposure rates.


2020 ◽  
Vol 50 (5) ◽  
pp. 1137-1157 ◽  
Author(s):  
Gustavo Rivera-Rosario ◽  
Peter J. Diamessis ◽  
Ren-Chieh Lien ◽  
Kevin G. Lamb ◽  
Greg N. Thomsen

AbstractThe formation of a recirculating subsurface core in an internal solitary wave (ISW) of depression, shoaling over realistic bathymetry, is explored through fully nonlinear and nonhydrostatic two-dimensional simulations. The computational approach is based on a high-resolution/accuracy deformed spectral multidomain penalty-method flow solver, which employs the recorded bathymetry, background current, and stratification profile in the South China Sea. The flow solver is initialized using a solution of the fully nonlinear Dubreil–Jacotin–Long equation. During shoaling, convective breaking precedes core formation as the rear steepens and the trough decelerates, allowing heavier fluid to plunge forward, forming a trapped core. This core-formation mechanism is attributed to a stretching of a near-surface background vorticity layer. Since the sign of the vorticity is opposite to that generated by the propagating wave, only subsurface recirculating cores can form. The onset of convective breaking is visualized, and the sensitivity of the core properties to changes in the initial wave, near-surface background shear, and bottom slope is quantified. The magnitude of the near-surface vorticity determines the size of the convective-breaking region, and the rapid increase of local bathymetric slope accelerates core formation. If the amplitude of the initial wave is increased, the subsequent convective-breaking region increases in size. The simulations are guided by field data and capture the development of the recirculating subsurface core. The analyzed parameter space constitutes a baseline for future three-dimensional simulations focused on characterizing the turbulent flow engulfed within the convectively unstable ISW.


2019 ◽  
Vol 873 ◽  
pp. 1-17 ◽  
Author(s):  
Yangxin He ◽  
Kevin G. Lamb ◽  
Ren-Chieh Lien

Large internal solitary waves with subsurface cores have recently been observed in the South China Sea. Here fully nonlinear solutions of the Dubreil–Jacotin–Long equation are used to study the conditions under which such cores exist. We find that the location of the cores, either at the surface or below the surface, is largely determined by the sign of the vorticity of the near-surface background current. The results of a numerical simulation of a two-dimensional shoaling internal solitary wave are presented which illustrate the formation of a subsurface core.


Atmosphere ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 193 ◽  
Author(s):  
Talea Mayo ◽  
Ning Lin

The Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model is the operational storm surge model of the National Hurricane Center (NHC). Previous studies have found that the SLOSH model estimates storm surges with an accuracy of ±20%. In this study, through hindcasts of historical storms, we assess the accuracy of the SLOSH model for four coastal regions in the Northeastern United States. We investigate the potential to improve this accuracy through modification of the wind field representation. We modify the surface background wind field, the parametric wind profile, and the maximum wind speed based on empirical, physical, and observational data. We find that on average the SLOSH model underestimates maximum storm surge heights by 22%. The modifications to the surface background wind field and the parametric wind profile have minor impacts; however, the effect of the modification to maximum wind speed is significant—it increases the variance in the SLOSH model estimates of maximum storm surges, but improves its accuracy overall. We recommend that observed values of maximum wind speed be used in SLOSH model simulations when possible.


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