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CWP Seminars - 2016 Spring

CWP seminars discuss topics pertaining to our broad areas of research interests. These seminars are led by CWP faculty, students and, on occasion, by guest presenters. CWP seminars are held every Monday at 4 p.m. in the Green Center on the Colorado School of Mines campus. Click here to see previous CWP Seminars.

Note: To view weekly seminar schedules of individual CWP teams, click a link below:

A-Team seminars

C-Team seminars

iTeam seminars

Steam seminars

 

Spring 2016 CWP seminars

Date Speaker(s) Title Abstract
2/8

John Stockwell

John Stockwell

Data resources and hazards

John will talk about the data that is available to CWP and the new CWP data library, Athena.

 

2/1

Satyan Singh

Satyan Singh

Beyond Marchenko - obtaining virtual receivers and virtual sources in the subsurface to retrieve the virtual Green's function

 

By solving the Marchenko equations, the Green's function can be retrieved between a virtual receiver in the subsurface to points at the surface (no physical receiver is required at the virtual location). We extend the idea of these equations to retrieve the Green's function between any two points in the subsurface; i.e, between a virtual source and a virtual receiver (no physical source or physical receiver is required at either of these locations). This Green's function is called the virtual Green's function and includes all the primaries, internal and free-surface multiples. Similar to the Marchenko Green's function, we require the reflection response at the surface (single-sided illumination) and an estimate of the first arrival travel time from the virtual location to the surface.

1/25

Nishant Kamath

Nishant Kamath

Full waveform inversion for elastic 2D VTI media

When we perform Full-waveform Inversion (FWI) for multiple parameters, the manner in which the model is parameterized influences the results. In the case of FWI for elastic 2D VTI media, we invert for four model parameters. I will present results of tests performed on a synthetic model for three parameterizations, and explain them in terms of radiation patterns.

1/18

Thomas Rapstine

Thomas Rapstine

Recovering sound from video

I will present on the final project work for a class I took last semester. The topic of the work involves recovering monochromatic sound from video

Ivan Chen Ning Lim

Ivan Lim

Distributed acoustic sensing

My research area is on Distributed Acoustic Sensing (DAS). DAS system uses optical fiber cables to perform strain measurements along the cable with a special "interrogator unit" IU. My current research involves using the measured strain along three opticl fiber cables to calculate three-component displacement. The three different strain measurements provide information on curvature and torsion of the cable which allows the determination of the shape of the cable. Curvature, torsion and shape can be related through the Frenet-Serret framework. The determination of the shape shows the displacement at the measurement points of the optical fiber.

Lucas Andrade de Almeida

Lucas Andrade de Almeida

Compressive sensing and reconstruction

Compressive sensing is a new way of understanding how to solve underdetermined problems when the signal of interest is sparse. Using this approach, one can recover high dimensional signals by measuring only a fraction of the samples that would be necessary. In this talk, I will briefly present the basics of compressive sensing with some examples of reconstruction and talk about my current research in the field.

1/11

1st CWP seminar of the Spring 2016 semester (CWP administrative topics)

 

Previous CWP Seminars

2015

Fall

Spring

2014

Fall

Spring

2013

Fall

Spring

2012

Fall

Spring

 

 

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