Most of porous naturally fractured reservoirs present a two-timescale flow-system, due to a two-scale heterogeneity which cannot be modelled explicitly, nor homogenised in reservoir simulation models. When the only flowing domain is the fracture network, and when the accumulation lies in porous and low permeable matrix blocks, the rate of exchanges between the two domains drives the recovery of such reservoirs. So called dual-porosity simulation models must incorporate an adequate transfer function between fracture and matrix in order to predict the recovery mechanisms for an optimal reservoir management. This is still true for dual-porosity / dual-permeability models, where the matrix domain is also flowing but at lower velocity. During the past 40 years until recently several formulations have been proposed. In order to review, compare and validate some of them, this work first analyse the main recovery drivers in two-phase systems, like drainage and imbibition under capillary and gravity forces, on the basis of explicit (single-porosity) simulations of flows between fracture and a single matrix block on a fine mesh, characterised by the final value and the kinetics of the recovery. Varying the main dynamic parameters these simulations give a set of reference cases to benchmark the dual-medium models, like the classic Kazemi transfer function, the Quandalle-Sabathier one, and a new formulation recently proposed by Blunt et al. These dual porosity single-block transfer functions are easily discretised in time and coded. The main findings are the disqualification of Kazemi formula, even with a gravity term, to represent any mechanism where the gravity is not negligible, especially in mixed-wet water-oil systems. Quandalle-Sabathier and Blunt transfer functions perform better, but the gravity forces remain difficult to be captured. The two first transfer functions are available in some commercial flow simulators, and their results on the same set of cases are consistent. Introduction Representing the correct behaviour of recovery mechanisms in naturally fractured reservoir in flow simulators is a challenging task. For a large class of fractured reservoirs, especially for multiphase production mechanisms, the standard (single-medium) numerical simulators cannot capture the two-scale heterogeneity, and the two-timescale flow behaviour. The dual-medium approach, using a transfer function (TF) to represent the exchange term between fracture (flowing domain) and matrix (stagnant domain) is a possible answer. It has been attempting with some success, since its introduction in the '60s by Barenblatt et al (Barenblatt, 1960), to accurately simulate this dual behaviour, and produce results accurate enough, and close to what fine-grid simulations would give. Nevertheless, it provides a practical solution because data requirement is substantially less and the speed of computation is much greater (Ramirez et al, 2007).
TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThe use of time-lapse data, or 4D seismic, in conjunction with production data in computer aided history matching of reservoir models requires that the various types of data are incorporated in a single objective function measuring the mismatch between the simulated and measured data. In the context of linear maximum likelihood estimation, the contribution of seismic data and production data to the objective function can be balanced on the basis of the sum of the inverse of the data and model error covariance matrices. Methods to estimate these covariance matrices for the combined set of production data and seismic impedance are presented. Generally, the seismic data will be correlated leading to a nondiagonal error covariance matrix. This matrix will also be very large, and efficient methods to invert this matrix are required. This is done using a very fast discrete convolution inverse based on multiplication of block Toeplitz matrices. It is shown that the regression may converge to a wrong solution if incorrect values for the data correlations are used.The presented methodology is applied to an actual historymatching project using data from a North Sea oil field, and a procedure for mapping the time-lapse seismic data and covariance matrix from the seismic grid to the simulation grid is presented.
20Geological and hydrological data collected at the Terrieu experimental site 21 north of Montpellier, in a confined carbonate aquifer indicates that both fracture 22 clusters and a major bedding plane form the main flow paths of this highly 23 heterogeneous karst aquifer. However, characterising the geometry and spatial 24 location of the main flow channels and estimating their flow properties remain 25 difficult. These challenges can be addressed by solving an inverse problem using the 26 available hydraulic head data recorded during a set of interference pumping tests. 27We first constructed a 2D equivalent porous medium model to represent the test analytical interpretations of pumping tests, were also added to the inversion models. 40In addition, the efficiency of the adopted inverse algorithm enables us to increase
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.