SBIR/STTR Research Award

A Multi-Discipline Approach to Digitizing Historic Seismograms

Award identifier dfd37f905a74c6f6c0f4ab0e494ee9a7f5c0f55f6ba8c4031ce56422aa95fb93Awarding agency Department of Energy

Award amount

$999,454

Program and phase

SBIR · Phase II

Award year

2013

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
RETRIEVER TECHNOLOGY
Proposal award date
2013-08-14
Contract end date
Not reported
UEI
F18JZ3NGWDA5
Solicitation number
DE-FOA-0000880
Topic code
06c

Research abstract

A large body of historic paper- and film-based seismograms are in storage, containing within them significant stores of seismological information. This information is unavailable for analysis because it needs to be extracted from its analog form and put into modern digital formats. National security needs in nuclear non-proliferation, earthquake modeling, and oil and gas extraction will all benefit by creating a means by which this digital information can be accurately and inexpensively extracted. The problem of large scale seismogram digitization is being addressed by assembling a talented interdisciplinary team of researchers in the fields of image analysis, seismology, signal processing, complex science, and computer science. Our approach merges a broad range of techniques and expertise, combining them by developing and deploying a web-based analytic package. Our Phase I work demonstrated that seismic trace coordinates could be extracted using a variety of numerical and complexity-based processes. Moreover, by leveraging our Phase I funding with additional state funding, we were able to include new researchers and techniques whose work went beyond the scope of our initial Phase I proposal. Phase II will develop and deploy a web-based browser platform that will serve as a common structure under which all methodologies applied to the problem can interact in a single location. The goal is to then deploy this software platform for general users in the scientific and research community. Commercial Applications and Other Benefits: Public benefits include national security enhancement by adding to the methods for detecting clandestine nuclear explosions, climate change modeling, and enhancement of geophysical modeling and earthquake prediction science.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

3 SBIR/STTR records share this UEI (2009–2013). Reported award amounts total $1,249,454. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Energy

Agency intelligence

Department of Energy

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