Bayesian spatial prediction of the area affected by drilling discharges from an exploratory well using water-based and non-aqueous-based fluids in Campos Basin, Brazil

Deep-Sea Research Part II: Topical Studies in Oceanography

Volumn 56, Issue 1-2, 2009, Pages 50-59

  Pulgati, F H ^a   Fachel, J M G ^b   Ayup Zouain, R N ^c   Landau, L ^a  

^a Funda??o Oswaldo Cruz   (Brazil)

^b Núcleo de Assessoria Estatística   (Brazil)

^c FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

Author keywords

Affected area from drilling activities; ANOVA with repeated measures; BACI; Bayesian spatial analysis; Geostatistics; Mapping

Indexed keywords

ANALYSIS OF VARIANCE (ANOVA); BARIUM; BAYESIAN NETWORKS; CUTTING; CUTTING FLUIDS; DRILLING; DRILLING FLUIDS; HYDROCARBONS; NATURAL GAS WELLS; OFFSHORE OIL WELLS; OIL WELL PRODUCTION; OIL WELLS; SEAWATER; SEDIMENTS;

AFFECTED AREA FROM DRILLING ACTIVITIES; ANOVA WITH REPEATED MEASURES; BACI; BAYESIAN SPATIAL ANALYSIS; GEOSTATISTICS;

OIL WELL DRILLING;

BAYESIAN ANALYSIS; BENTHOS; COMPARATIVE STUDY; CONCENTRATION (COMPOSITION); DISCHARGE; DRILLING; ENVIRONMENTAL FATE; GAS WELL; GEOSTATISTICS; MODELING; NONAQUEOUS PHASE LIQUID; OIL WELL; PREDICTION; SEAFLOOR;

ATLANTIC OCEAN; BRAZIL; CAMPOS BASIN; SOUTH AMERICA;

EID: 62949132125     PISSN: 09670645     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsr2.2008.08.019     Document Type: Article

References (21)

1. Bernier, R., Garland, E., Glickman, A., Jones, F., Mairs, H., Melton, R., Ray, J., Smith, J., Thomas, D., Campbell, J., 2003. Environmental aspects of the use and disposal of non aqueous drilling fluids associated with offshore oil and gas operations. International Association of Oil and Gas Producers, Report no. 342.
2. Corrêa, I.C.S., Toldo Jr., E.E., Toledo, F.A., 2008. Seafloor geological impacts associated with a short-scale drilling disturbance. Deep-Sea Research II, this issue [doi:10.1016/j.dsr2.2008.08.014].
3. Cressie N. Modeling growth with random sets. In: Possolo A. (Ed). Spatial Statistics and Imaging. Lecture Notes-Monograph Series vol. 20 (1991), Institute of Mathematical Statistics, Hayward, CA 31-45
4. Diggle P.J., and Ribeiro Jr. P.J. Model-Based Geostatistics. Springer Series in Statistics (2006), Springer, New York
5. Diggle P.J., Moyeed R.A., and Tawn J.A. Non-Gaussian geostatistics (with discussion). Applied Statistics 47 (1998) 299-350
6. Eastman J.S. Guide to GIS and Image Processing. Idrisi32 Release 2 vol. 2 (1999), Clark University, Worcester, USA
7. Handcock M.S., and Stein M.L. A Bayesian analysis of kriging. Technometrics 35 (1993) 403-410
8. Journel A.G., and Huijbregts C.J. Mining Geostatistics (1978), Academic Press, London
9. Kennicutt M.C., Green R.H., Montagna P., and Roscigno P.F. Gulf of Mexico Offshore Operations Monitoring Experiment (GOOMEX), Phase I: sublethal responses to contaminant exposure-introduction and overview. Canadian Journal of Fisheries and Aquatic Sciences 53 (1996) 2540-2553
10. Lunn D.J., Thomas A., Best N., and Spiegelhalter D. WinBUGS. A Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing 10 (2000) 325-337
11. Montagna P.A., and Harper D.E. Benthic infaunal long-term response to offshore production platforms in the Gulf of Mexico. Canadian Journal of Fisheries and Aquatic Sciences 53 (1996) 2567-2588
12. Montgomery D.C. Design and Analysis of Experiments. fourth ed. (1997), Wiley, New York
13. Moyeed R.A., and Clarke R.T. The use of Bayesian methods for fitting rating curves, with case studies. Advances in Water Resources 28 (2005) 807-818
14. Pozebon, D., Peralba, M.C.R., Santos, J.H.C., Maia, S.M., Pizzolato, T.M., 2008. Metals, arsenic and hydrocarbons monitoring in marine sediment during drilling activities using NAFs. Deep-Sea Research II, this issue [doi:10.1016/j.dsr2.2008.08.016].
15. R Development Core Team, 2005. R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria. 〈http://www.R-project.org〉.
16. Sampson P.D., and Guttorp P. Power transformation and tests of environmental impact as interaction effects. The American Statistician 45 2 (1991) 83-89
17. Santos, M.F.L., Lana, P.C., Fachel, J.M.G., Pulgati, F.H., 2008. Effects of non-aqueous fluids cuttings discharge from exploratory drilling activities on the deep-sea macrobenthic communities. Deep-Sea Research II, this issue [doi:10.1016/j.dsr2.2008.08.017].
18. Stewart-Oaten A., Murdoch W.W., and Parker K.R. Environmental impact assessment: "pseudoreplication" in time?. Ecology 67 4 (1986) 929-940
19. Warwick R.M. The level of taxonomic discrimination required to detect pollution effects on marine benthic communities. Marine Pollution Bulettin 19 (1988) 250-268
20. Warwick R.M. Environmental impact studies on marine communities: pragmatical considerations. Australian Journal of Ecology 18 (1993) 63-80
21. Wiens J.A., and Parker K.P. Analysing the effects of accidental environmental impacts: approaches and assumptions. Ecological Applications 5 4 (1995) 1069-1083