An improved algorithm for locating a gas source using inverse methods

Atmospheric Environment

Volumn 41, Issue 6, 2007, Pages 1128-1134

  Thomson, Laura C ^a   Hirst, Bill ^b   Gibson, Graham ^a   Gillespie, Steve ^b   Jonathan, Philip ^b   Skeldon, Kenneth D ^a   Padgett, Miles J ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

^b SHELL GLOBAL SOLUTIONS INTERNATIONAL B V   (United States)

Author keywords

Cost function; Gas dispersion; Inverse problem; Random search; Simulated annealing

Indexed keywords

ALGORITHMS; CONCENTRATION (PROCESS); INVERSE PROBLEMS; ROBUSTNESS (CONTROL SYSTEMS); SIMULATED ANNEALING; SPURIOUS SIGNAL NOISE;

CANDIDATE DISTRIBUTIONS; COST FUNCTIONS; GAS DISPERSION; RANDOM SEARCH;

TRACKING (POSITION);

ALGORITHM; CONCENTRATION (COMPOSITION); COST-BENEFIT ANALYSIS; GAS; MEASUREMENT METHOD; MONITORING; SIMULATED ANNEALING;

ALGORITHM; ARTICLE; ATMOSPHERE; ATMOSPHERIC DISPERSION; EXHAUST GAS; NOISE; PRIORITY JOURNAL; PROBLEM SOLVING; SIMULATION; WIND;

EID: 33845946802     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2006.10.003     Document Type: Article

References (14)

1. Arridge S.R. Optical tomography in medical imaging. Inverse Problems 15 2 (1999)
2. Draxler R.R. Determination of atmospheric diffusion parameters. Atmospheric Environment 10 (1976) 99-105
3. Flescha T., Wilsona J.D., Harperb L.A., and Crenna B.P. Estimating gas emissions from a farm with an inverse-dispersion technique. Atmospheric Environment 39 27 (2005) 4863-4874
4. Gibson G., Monk S.D., and Padgett M.J. A field-portable, laser-diode spectrometer for the ultra-sensitive detection of hydrocarbon gases. Journal of Modern Optics 49 5-6 (2002) 769-776
5. Gifford F.A. Lectures on Air Pollution and Environmental Impact Analyses (1976), American Meterological Society
6. Hirst B., Gibson G., Gillespie S., Archibald I., Podlaha O., Skeldon K.D., Courtial J., Monk S., and Padgett M. Oil and gas prospecting by ultra-sensitive optical gas detection with inverse gas dispersion modelling. Geophysical Research Letters 31 (2004)
7. Horvitz L. Geochemical-exploration for petroleum. Science 229 (1985) 821-827
8. Lehning M., Chang D.P.Y., Shonnard D.R., and Bell R.L. An inversion algorithm for determining area-source emissions from downwind concentration measurements. Journal of Air and Waste Management Association 44 10 (1994) 1204-1213
9. MacDonald, I.R., Reilly, Jr., J.R., Best, S.E., Venkataramaiah, R., Guinasso, Jr., N.L., Amos, J., 1996. A remote sensing inventory of active oil seeps and chemosynthetic communities in the northern Gulf of Mexico. In: Schumacher, D., Abrams, M.A. (Eds.), Hydrocarbon Migration and its near-surface expression, AAPG Mem., vol.66. pp. 27-37.
10. Martin B.A., and Cawley S.J. Onshore and offshore petroleum seepage: contrasting a conventional study in papua new guinea and airborne laser fluorescing over the arafura sea. The APEA Journal 31 (1991) 333-353
11. Press W.H., Teukolsky S.A., Vetterling W.T., and Flannery B.P. Numerical Recipes in C++ (2002), Cambridge University Press, Cambridge
12. Rudolph J. The tropospheric distribution and budget of ethane. Journal of Geophysical Research 100 D6 (1995) 11369-11382
13. Schumacher, D., 1999. Exploring for Oil and Gas Traps, American Association of Petroleum Geologists.
14. Seldowitz M.A., Allebach J.P., and Sweeney D.W. Synthesis of digital holograms by direct binary search. Applied Optics 26 14 (1987) 2788-2798