dc.creatorRibeiro F.A.D.L.
dc.creatorRosario F.F.D.
dc.creatorBezerra M.C.M.
dc.creatorBastos A.L.M.
dc.creatorde Melo V.L.A.
dc.creatorPoppi R.J.
dc.date2012
dc.date2015-06-26T20:29:25Z
dc.date2015-11-26T14:25:54Z
dc.date2015-06-26T20:29:25Z
dc.date2015-11-26T14:25:54Z
dc.date.accessioned2018-03-28T21:28:41Z
dc.date.available2018-03-28T21:28:41Z
dc.identifier
dc.identifierChemometrics And Intelligent Laboratory Systems. , v. 115, n. , p. 18 - 24, 2012.
dc.identifier1697439
dc.identifier10.1016/j.chemolab.2012.04.001
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84861187778&partnerID=40&md5=7bfcc92e013dcba91d195bde57cc4989
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/97025
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/97025
dc.identifier2-s2.0-84861187778
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1245897
dc.descriptionIn this work, Parallel Factor Analysis (PARAFAC) was used to assess the composition of produced water in 8 oil wells, using their levels of salinity, calcium, magnesium, strontium, barium and sulphate (mg/L), collected during the years 2004 and 2005. This method allowed the identification of tracers for seawater and formation water, as well as identification of standards related to seasonality. The method indicates that the variables salinity, calcium and strontium are associated with formation water, while magnesium and sulphate are associated with water injection. These variables may be used as tracers to distinguish seawater, used as injection water, and formation water, and can be very useful to evaluate the produced water composition. Seasonality aspects are associated with the variation in the levels of sulphate and magnesium, which tend to increase over time while the levels of barium usually decrease.Chemical patterns related to the original reservoirs of each oil well, called A, B and C, also were observed. Samples collected in reservoir B presented the lowest salinity, calcium, strontium and barium levels and the highest magnesium and sulphate levels, while samples from reservoir A showed intermediate levels for the same variables. Reservoir C samples presented the highest values for salinity, calcium, strontium and barium, and the lowest levels of sulphate. © 2012 Elsevier B.V.
dc.description115
dc.description
dc.description18
dc.description24
dc.descriptionBader, M.S.H., Sulfate removal technologies for oil fields seawater injection operations (2007) Journal of Petroleum Science and Engineering, 55, pp. 93-110
dc.descriptionEl-Said, M., Ramzi, M., Abdel-Moghny, T., Analysis of oilfield waters by ion chromatography to determine the composition of scale deposition (2009) Desalination, 249, pp. 748-756
dc.descriptionWebb, P.J., Kuhn, O., Enhanced scale management through the application of inorganic geochemistry and statistics (2004) SPE, , 87458
dc.descriptionDudášová, D., Flåten, G.R., Sjöblom, J., Øye, G., Stability of binary and ternary model oil-field particle suspensions: a multivariate analysis approach (2009) Journal of Colloid and Interface Science, 337, pp. 464-471
dc.descriptionPuntervold, T., Austad, T., Injection of seawater and mixtures with produced water into North Sea chalk formation: impact of fluid-rock interactions on wettability and scale formation (2008) Journal of Petroleum Science and Engineering, 63, pp. 23-33
dc.descriptionBurga, J.D., Diccionário Geológico, Arth-Altuna, Peru, , http://htpp://www.arth-altuna.com/docs/DICCIONARIO%20GEOLOGICO.pdf, Available at, (Accessed on 02/Aug/2011)
dc.descriptionMcFarlane, J., Application of chemometrics to modeling produced water contamination (2005) Separation Science and Technology, 40, pp. 593-609
dc.descriptionKloppmann, W., Matray, J.M., Aranyossy, J.F., Contamination of the deep formation waters by drilling fluids: correction of the chemical and isotopic composition and evaluation of errors (2001) Applied Geochemistry, 16, pp. 1083-1096
dc.descriptionJerez Vegueria, S.F., Godoy, J.M., Miekeley, N., Environmental impact studies of barium and radium discharges by produced waters from the "Bacia de Campos" oil-field offshore platforms (2002) Journal of Environmental Radioactivity, 62, pp. 29-38
dc.descriptionSirivedhin, T., Dallbauman, L., Organic matrix in produced water from the Osage-Skiatook Petroleum Environmental Research site, Osage county (2004) Chemosphere, 57, pp. 463-469
dc.descriptionBirkle, P., García, B.M., Padrón, C.M.M., Eglington, B.M., Origin and evolution of formation water at the Jujo-Tecominoacán oil reservoir, Gulf of Mexico. Part 1: Chemical evolution and water-rock interaction (2009) Applied Geochemistry, 24, pp. 543-554
dc.descriptionBirkle, P., García, B.M., Padrón, C.M.M., Eglington, B.M., Origin and evolution of formation water at the Jujo-Tecominoacán oil reservoir, Gulf of Mexico. Part 2: isotopic and field-production evidence for fluid connectivity (2009) Applied Geochemistry, 24, pp. 555-573
dc.descriptionRemeljef, C.W., Statistical method to determine whether a wireline samples is 100% mud filtrate (1994) SPE, , 28796
dc.descriptionBro, R., PARAFAC. Tutorial and applications (1997) Chemometrics and Intelligent Laboratory Systems, 38, pp. 149-171
dc.descriptionBro, R., Multi-way Analysis in the Food Industry (1998), http://www.models.life.ku.dk/sites/default/files/brothesis_0.pdf, PhD Thesis, Denmark, (, Accessed on 29/Sept/2011)Bro, R., Review on multiway analysis in chemistry-2000-2005 (2006) Critical Reviews in Analytical Chemistry, 36 (3-4), pp. 279-293
dc.descriptionSmilde, A.K., Bro, R., Geladi, P., (2004) Multiway Analysis: Applications in the Chemical Sciences, , John Wiley & Sons, New York
dc.descriptionCocchi, M., Durante, C., Marchetti, A., Armanino, C., Casale, M., Characterization and discrimination of different aged 'Aceto Balsamico Tradizionale di Modena' products by head space mass spectrometry and Chemometrics (2007) Analytica Chimica Acta, 589, pp. 96-104
dc.descriptionIdborg, H., Edlund, P.O., Jacobsson, S.P., Multivariate approaches for efficient detection of potential metabolites from liquid chromatography/mass spectrometry data (2004) Rapid Communications in Mass Spectrometry, 18, pp. 944-954
dc.descriptionGrueiro-Noche, G., Andrade, J.M., Muniategui-Lorenzo, S., López-Mahía, P., Prada-Rodríguez, D., 3-Way pattern-recognition of PAHs from Galicia (NW Spain) seawater samples after the Prestige's wreck (2010) Environmental Pollution, 158, pp. 207-214
dc.descriptionFelipe-Sotelo, M., Andrade, J.M., Carlosena, A., Tauler, R., Temporal characterisation of river waters in urban and semi-urban areas using physico-chemical parameters and chemometric methods (2007) Analytica Chimica Acta, 583, pp. 128-137
dc.descriptionKolda, T.G., Bader, B.W., Tensor decompositions and applications (2009) SIAM Review, 51, pp. 455-500
dc.descriptionTomasi, G., Bro, R., PARAFAC and missing values (2005) Chemometrics and Intelligent Laboratory Systems, 75, pp. 163-180
dc.descriptionWalczak, B., Massart, D.L., Dealing with missing data-Part I (2001) Chemometrics and Intelligent Laboratory Systems, 58, pp. 15-27
dc.descriptionBro, R., Kiers, H.A.L., A new efficient method for determining the number of components in PARAFAC models (2003) Journal of Chemometrics, 17, pp. 274-286
dc.description(2010) PLS Toolbox 5.8, , Eigenvector Research, Inc., USA
dc.description(2009) MatLab 7.8, , USA The MathWorks Inc
dc.descriptionBinMerdhah, A.B., Yassin, A.A.M., Muherei, M.A., Laboratory and prediction of barium sulfate scaling at high-barium formation water (2010) Journal of Petroleum Science and Engineering, 70, pp. 79-88
dc.languageen
dc.publisher
dc.relationChemometrics and Intelligent Laboratory Systems
dc.rightsfechado
dc.sourceScopus
dc.titleAssessment Of The Chemical Composition Of Waters Associated With Oil Production Using Parafac
dc.typeArtículos de revistas


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