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Use of Raster to Vector Image Analysis Technology to Rapidly and Accurately…

Award Information

Agency:
Department of Energy
Branch:
N/A
Award ID:
94641
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
91557
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Retriever Technology, Lp
1600 Lena St. Santa Fe, NM 87505-0000
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: Use of Raster to Vector Image Analysis Technology to Rapidly and Accurately Digitize Historical Seismograms
Agency: DOE
Contract: DE-FG02-09ER85419
Award Amount: $100,000.00
 

Abstract:

Large stores of unique seismic information ¿ generated from earthquakes, nuclear tests, and oil and gas exploration ¿ exist in both public and private repositories. However, much of this data exists as optically scanned images that are not useful for further analysis. In order to access and analyze these records, it is critically important to develop automated and accurate image analysis techniques to extract useful data. This project will apply a unique method whereby rasterized images will be intelligently converted to vectorized images. The underlying properties of the vectorized images will be utilized to create accurate traces and digital outputs in formats that can subsequently be analyzed with modern tools. Commercial Applications and other Benefits as described by the awardee Beyond the application to DOE¿s nonproliferation responsibilities, the technology could be customized for commercialization for the oil exploration industry as a tool for analyzing seismographs and geological data, with the goal of pinpointing mineral deposits. In addition, this product could aid earthquake researchers in analyzing past seismic events, with the goal of better understanding geophysics and hazard prediction

Principal Investigator:

Andrew Bartlett
Dr.
andy@retrievertech.com

Business Contact:

Andrew Bartlett
Dr.
andy@retrievertech.com
Small Business Information at Submission:

Retriever Technology, Lp
104 1/2 Calle La Pena Santa Fe, NM 87505

EIN/Tax ID: 850460772
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No