Artículos de revistas
A Method For Reduction Of Uncertainties In Reservoir Model Using Observed Data: Application To A Complex Case
Registro en:
Journal Of The Brazilian Society Of Mechanical Sciences And Engineering. Springer Verlag, v. 36, n. 4, p. 901 - 918, 2014.
16785878
10.1007/s40430-013-0126-7
2-s2.0-84907587471
Autor
Maschio C.
Schiozer D.J.
Institución
Resumen
The aim of this paper is to show a methodology to reduce uncertainties in complex reservoir models using observed dynamic data. The basic idea is the use of the difference between observed and simulated data to constrain the probability redistribution of the uncertain attributes, reducing the spread of the posterior distribution and, as a consequence, reducing the dispersion of the reservoir response and mitigating risk. To capture the influence between attributes and reservoir responses, an influence matrix is proposed. The method deals with discrete and continuous attributes, which permits an adequate representation of the several types of uncertainties. The methodology was applied to a complex case and promising results are shown. 36 4 901 918 Reis, L.C., Reis, L.E., Silva, L.C., Becerra, G.G., History matching: Is it necessary to optimize? (2009) SPE Latin American and Caribbean Petroleum Engineering Conference, , Cartagena Lisboa, E., Duarte, R., Uncertainty analysis considering the production history: Evaluation of a real field (SPE 136681) (2010) SPE Latin American and Caribbean Petroleum Engineering Conference, Lima Becerra, G.G., Modenesi, A.P., Efa, L., Uncertainty history matching and forecasting, a field case application (2012) SPE Latin America and Caribbean Petroleum Engineering Conference, , Mexico City Li, G., Reynolds, A.C., Uncertainty quantification of reservoir performance predictions using a stochastic optimization algorithm (2011) Comput Geosci, 15, pp. 451-462 Mohamed, L., Christie, M., Demyanov, V., Comparison of stochastic sampling algorithms for uncertainty quantification (SPE 119139) (2009) Reservoir Simulation Symposium, the Woodlands Al-Shamma, B.R., Teigland, R., History matching of the Valhall field using a global optimization method and uncertainty assessment" (SPE 100946) (2006) Annual Technical Conference and Exhibition, San Antonio Abdollahzadeh, A., Reynolds, A., Christie, M., Corne, D., Davies, B., Williams, G., Bayesian optimization algorithm applied to uncertainty quantification (2011) (SPE 143290), SPE EUROPEC/EAGE Annual Conference and Exhibition, , Vienna Hajizadeh, Y., Christie, M., Demyanov, V., Ant colony optimization for history matching and uncertainty quantification of reservoir models (2011) J Petrol Sci Eng, 77 (1), pp. 78-92 Martínez, J.L.F., Mukerji, T., Gonzalo, E.G., Suman, A., Reservoir characterization and inversion uncertainty via a family of particle swarm optimizers (2012) Geophysics, 77, pp. 1-16 Subbey, S., Christie, M., Sambridge, M., Prediction under uncertainty in reservoir modeling (2004) J Petrol Sci Eng, 44, pp. 143-153 Schaaf, T., Coureaud, B., Labat, N., Using experimental designs, assisted history matching tools and Bayesian framework to get probabilistic production forecasts (SPE 113498) (2008) SPE Europec/EAGE Annual Conference and Exhibition, Rome Slotte Pa, S., Response surface methodology approach for history matching and uncertainty assessment of reservoir simulation models (SPE 113390) (2008) Europec/EAGE Annual Conference and Exhibition Cominelli A, D., Benchmark study of ensemble Kalman filter methodology: History matching and uncertainty quantification for a deep-water oil reservoir (2009) Proceedings of the International Petroleum Technology Conference, Doha, IPTC 13748 Emerick, A.A., Reynolds, A.C., History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations (2012) Comput Geosci, 16, pp. 639-659 Filho Mab, M., (2006) Integration of Uncertainty Analysis and History Matching Process, , Master of Science Thesis, Department of Petroleum Engineering, State University of Campinas, Unicamp, Campinas (in Portuguese) Maschio, C., Schiozer, D.J., Filho Mab, M., A methodology to quantify the impact of uncertainties in the history matching process and in the production forecast (SPE 96613) (2005) Annual Technical Conference and Exhibition, Dallas Becerra, G.G., (2007) Uncertainty Mitigation Through the Integration with Production History Matching, , Master Sciences Thesis, Department of Petroleum Engineering, State University of Campinas, Unicamp, São Paulo (in Portuguese) Maschio, C., Schiozer, D.J., Moura Filho, M.A.B., Becerra, G.G., A methodology to reduce uncertainty constrained to observed data (2009) SPE Reserv Eval Eng (SPE 111030), 12 (1), pp. 167-180 Becerra, G.G., Maschio, C., Schiozer, D.J., Petroleum reservoir uncertainty mitigation through the integration with production history matching (2011) J Braz Soc Mech Sci Eng, 33 (2), pp. 147-158 Maschio, C., Schiozer, D.J., Carvalho, C.P.V., A new methodology to reduce uncertainties in reservoir simulation models using observed data and sampling techniques (2010) J Petrol Sci Eng, 72 (1-2), pp. 110-119 Silva, L.S., Schiozer, D.J., Integration of uncertainty analysis and history matching: Application in a complex case (2012) SPE Latin American and Caribbean Petroleum Engineering Conference, , Mexico City Cox, D.R., (2006) Principles of Statistical Inference, , Cambridge University Press Oxford Okano, H., Pickup, G.E., Christie, M., Subbey, S., Sambridge, M., Monfared, H., Quantification of uncertainty in relative permeability for coarse-scale reservoir simulation (2005) SPE Europec/EAGE Annual Conference, Madrid