Geospatial-Temporal Semantic Graph Evaluation for Induced Seismicity Analysis

Technical Report · Thu Sep 01 00:00:00 EDT 2016

DOI:https://doi.org/10.2172/1562818· OSTI ID:1562818

Woodbridge, Diane Myung-kyung ^[1]; Brost, Randolph C. ^[1]

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1. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

We assess how geospatial-temporal semantic graphs [1] and our GeoGraphy code implementation might contribute to induced seismicity analysis. We focus on evaluating strengths and weaknesses of both 1) the fundamental concept of semantic graphs and 2) our current code implementation. With extensions and research effort, code implementation limitations can be overcome. The paper also describes relevance including possible data input types, expected analytical outcomes and how it can pair with other approaches and fit into a workflow.

• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
• Sponsoring Organization: USDOE Office of Fossil Energy and Carbon Management (FECM)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1562818
• Report Number(s): SAND-2016-9834; 647928
• Country of Publication: United States
• Language: English