000			02046nab a2200205 4500
005			20260520001804.0
008			260224s2009 xxu
245	0	0	_aSimultaneous estimation of relative permeability and porosity/Permeability fields by history matching production data
260			_a _b _cdic. 2009
270			_a23/06/2010 ; 23/06/2010
300			_a13 p. ; 13-25
520			_aTranscripción del resumen del autor. This paper presents a procedure to estimate relative permeability curves together with gridblock porosities and permeabilities by automatic history matching three-phase flow production data using the LBFGS algorithm for optimization and the adjoint method for generating sensitivity coefficients. Both power law and B-splines are considered for the representation of relative permeability curves. Power law functions provide a simple representation ; however, B-splines have the advantage of being able to accurately represent any set of relative permeability curves. In the B-spline representation, we provide a simple procedure based on a transformation of parameters (control points) defining the B-splines to ensure that monotonic curves are obtained. Without this transformation, the automatic history-matching process fails. If endpoint saturations are included as parameters, we show how to modify the adjoint procedure to account for the fact that initial conditions are sensitive to endpoint saturations. While the history-matching process is inherently non-unique, we show that reasonable estimates of relative permeability curves and porosity/ permeability fields can be obtained for a synthetic reservoir example. We also provide a quantification of the uncertainty in model parameters and reservoir performance prediction using the randomized maximum likelihood (RML) method.
581			_a12
773	0		_tJournal of Canadian Petroleum Technology _g48
942			_cARTICULO
100	1		_aEydinov, D. _943113
100	1		_aGao, G. _943114
100	1		_aLi, G. _937943
999			_c171292 _d171292