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ECMOR VIII - 8th European Conference on the Mathematics of Oil Recovery
- Conference date: 03 Sep 2002 - 06 Sep 2002
- Location: Freiberg, Germany
- ISBN: 978-90-73781-24-5
- Published: 03 September 2002
41 - 46 of 46 results
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Choosing Objective Function for Conditioning on Production Data
More LessAuthors R. Hauge, O. J. Arntzen and H. SolengIn this paper we consider the problem of choosing an objective function, or likelihood function, when conditioning a stochastic reservoir model on production data. We argue for a pragmatic approach where the objective function also should be judged upon its predictive value. To find candidates for objective functions, we propose that the correlation structure of production data under the prior distribution should be taken into consideration. Three different objective functions are compared; two of them are based on prior correlations while the third is a weighted sum of squares. We show by a realistic example that taking advantage of the correlation structure may increase the predictive value.
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Stochastic Approach to Optimization of Well Spacing in Lenticular Reservoir
More LessAuthors R. D. Kanevskaya, A. I. Vereskov and S. V. KorobkinThe new approach to simulation lenticular reservoirs using Boolean sets is presented. The probabilistic description of the lens system includes the shape and the sizes of the area, the shape of lenses, probability densities of lens location and of their sizes, total number of lenses in the domain. Connections between the system of lenses and the system of welk are studied.
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Uncertainty Propagation in the Well Log Interpretation Process
More LessAuthors F. Verga, D. Viberti and M. GonfaliniThe log interpretation proces is based on data acquired under environmental and thermodynamic conditions which may potentially affect the accuracy and the precision of the measurement system. All the possible sources of errors should be recognized and classified as systematic errors or random errors. Systematic errors should be corrected before interpretation whereas random errors propagation should be accounted for in the calculation process to evaluate the uncertainty associated to the final results.
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Prediction under Uncertainty in Reservoir Modeling
More LessAuthors M. Christie, S. Subbey and M. SambridgeReservoir simulation is routinely employed in the prediction of reservoir performance under different depletion and operating scenarios. Usually, a single history matched model, conditioned to production data, is obtained. The model is then used to forecast future production profiles. Since the history match is non-unique, this is essentially an inverse problem. Hence the forecast production profiles are uncertain, although this uncertainty is not usually quantified.
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In Situ Combustion Modeling in Porous Media Using Lattice Boltzmann Methods
More LessBy C. RediIn site combustion is a very complex proces which takes place in irregular porous structures not accessible by conventional computational fluid dynamics tools. After the process and the goveming equations have been presented the numerical method used to solve this problem is briefly introduced. The Lattice Boltzmann method is perfectly suited for fluid flow simulations in irregular structures. A multi channel geometry is considered to show the ability of the Lattice Boltzmann method to deal with fluid flow and heat transfer problems occurring in combustion processes. Finally results of the simulation of an in site combustion in an irregular porous structure are presented.
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