FInd Gas Source

Software · Fri Feb 24 05:00:00 EST 2017

OSTI ID:1405117

Travis, Bryan ^[1]; Sauer, Jeremy ^[2]; Dubey, Manvendra ^[3]

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1. Planetary Science Institute
2. University Corporation for Atmospheric Research
3. LANL

FIGS is a neural network software that ingests real time synchronized field data on environmental flow fields and turbulence and gas concentration variations at high frequency and uses an error minimization algorithm to locate the gas source and quantify its strength. The software can be interfaced with atmospheric, oceanic and subsurface instruments in a variety of platforms stationary or mobile (e.g. cars, UAVs, submersible vehicles or boreholes) and used to find gas sources by smart use of data and phenomenology. FIGS can be trained by phenomenological model of the flow fields in the environment of interest and/or be calibrated by controlled release. After initial deployment the FIGS learning will grow with time as it accumulates data on source quantification. FIGS can be installed on any computer from small beagle-bones for field deployment/end-use to PC/MACs/main-frame for training/analysis. FIGS has been trained (using LANL's high resolution atmospheric simulations) and calibrated, tested and evaluated in the field and shown to perform well in finding and quantifying methane leaks at 10-100m scales at well pads by ingesting atmospheric measurements. The code is applicable to gas and particle source location at large scales.

• Short Name / Acronym: FIGS; 005503MLTPL00
• Site Accession Number: C16132
• Version: 00
• Programming Language(s): Medium: X; OS: COMPATIBLE WITH MAC, PC OR BEAGLEBONE
• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE
• Contributing Organization: Los Alamos National Laboratory (LANL)
• DOE Contract Number: AC52-06NA25396
• OSTI ID: 1405117
• Country of Origin: United States