Prediction of live formation water densities from petroleum reservoirs with pressure-dependent seawater density correlations
Predicción de densidades de aguas vivas de formación de yacimientos petroleros a partir de correlaciones dependientes de presión para densidades de aguas de mar
DOI:
https://doi.org/10.15446/dyna.v87n213.80967Palabras clave:
salinity, density, live formation water, seawater, reservoir conditions (en)salinidad, densidad, aguas vivas de formación, agua de mar, condiciones de yacimiento (es)
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We studied two density correlations developed for seawater at high pressures as potential models to predict formation water densities from petroleum reservoirs as a function of salinity, pressure, gas content, and temperature. The correlations were tested against experimental densities measured at high pressures for live formation waters sampled under bottomhole conditions from five petroleum reservoirs. As a result, one of these seawater correlations was found to be particularly promising to predict formation water densities for these samples, even out of the pressure range originally reported for such a model.
Referencias
Whitson, C. and Brulé, M., Phase behavior, SPE monograph series, Richardson Texas, USA, 2000.
Bailey, B., Crabtree, M., Tyrie, J., Elphick, J., Kuchuk, F., Romano, C. and Roodhart, L., Water control. Oilfield Review, 12, pp. 30-51, 2000.
Arabloo, M., Shokrollahi, A., Gharagheizi, F. and Mohammadi, A., Toward a predictive model for estimating dew point pressure in gas condensate systems. Fuel Process. Technology 116, pp. 317-324, 2013. DOI: 10.1016/j.fuproc.2013.07.005
Guerra, K., Dahm, K. and Dundorf, S., Oil and gas produced water management and beneficial used in the western United States, Science and Technology Program Report No. 157. Bureau of Reclamation. US Department of Interior, USA, 2011.
Spivey, J. and McCain Jr, W., Estimating density, formation volume factor, compressibility, methane solubility, and viscosity for oilfield brines at temperatures from 0 to 275 °C, pressures to 200 Mpa, and salinities to 5.7 mole/kg. JCPT, 43(7), pp. 52-61, 2004.
Tatar, A., Naseri, S., Sirach, N., Lee, M. and Bahadori, A., Prediction of reservoir brine properties using radial basis function (RBF) neural network, Petroleum, 1(4), pp. 349-357, 2015. DOI: 10.1016/j.petlm.2015.10.011.
Sharqawy, M., Lienhard, J. and Zubair, S., Thermophysical properties of seawater: a review of existing correlations and data. Desalination and Water Treatment, 16, pp. 354-380., 2010. DOI: 10.5004/dwt.2010.1079.
Millero, F.J., Chen, C.T., Bradshaw, A. and Schleicher, K., A new high-pressure equation of state for seawater, Deep Sea Research Part A, Oceanographic Research Papers. 27(3-4), pp. 255-264, 1980. DOI: 10.1016/0198-0149(80)90016-3
Nayar, K., Sharqawy, M., Banchik, L. and Lienhard, J., Thermophysical properties of seawater: a review and new correlations that include pressure dependence. Desalination, 390, pp. 1-24, 2016. DOI: 10.1016/j.desal.2016.02.024.
Instruction Manual DMA 4500/5000, Denstiy/ Specific Gravity/ Concentation Meter. Software Version V5.012.c, Anton Paar, 2005.
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