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Upcoming Events:
Monday, 13 Feb 2012, 3:00-4:00 pm, LSK 301:
IAM Seminar Series and Fluids Seminar
Prof. Eckart Meiburg, Department of Mechanical Engineering, University of California at Santa Barbara.
Gravity and Turbidity Currents Interacting with Submarine Topography
We will present an overview of high-resolution, Navier-Stokes based simulations of gravity and turbidity currents. The turbidity currents are driven by particles that have negligible inertia and are much smaller than the smallest length scales of the buoyancy-induced fluid motion. For the mathematical description of the particulate phase an Eulerian approach is employed, with a transport equation for the particle-number density. We will discuss differences between two- and three-dimensional turbidity current dynamics, and we will introduce some effects due to complex topography. Results will be shown regarding the unsteady interaction of a gravity current with a submarine structure, such as a pipeline. Furthermore, we will discuss the linear stability problem of channel and sediment wave formation by turbidity currents.
Tuesday, 14 Feb 2012, 12:30-13:30, WMAX 110:
SCAIM Seminar
Tristan van Leeuwen, Department of Earth and Ocean Sciences, UBC.
Recent Advances in Seismic Waveform Inversion
Images obtained from (active) seismic data are used by the oil and gas industry for geophysical exploration. Waveform inversion tries to obtain a detailed image of the subsurface by solving a PDE-constrained optimization problem. The scale of the problem typically 109 unknowns and the size of the data typically 1015 data points severely limits us in the approaches that we can use to solve the problem. On top of that, the problem is highly nonlinear and the least-squares objective exhibits local minima. In this talk, I will give an overview of typical issues in waveform inversion and present recent research that addresses some of these issues. This includes optimization techniques that work with only small portions of the data at a time, robust data-fitting schemes and formulations that incorporate other unknown parameters, such as the source signature. Finally, I will discuss the object-oriented framework that we have developed in Matlab to test these algorithms.
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