Incorporating Seismic Attribute Maps in 3D Reservoir Models

Behrens, R.A.; MacLeod, M. K.; Tran, Thomas T.; Alimi, Adel M.

doi:10.2118/36499-pa

Cited by 64 publications

(39 citation statements)

References 10 publications

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“…The kriged fields may be conditioned to other hard measurements, e.g., in wells. To get a solution at the finest scale with similar properties as the initial , the kriging may be combined with sequential Gaussian simulation as in Behrens et al [2]. Similar methods for downscaling have also been used by, for instance, Grimstad and Mannseth [9].…”

Section: Downscalingmentioning

confidence: 99%

A multiscale method for distributed parameter estimation with application to reservoir history matching

Aanonsen

Eydinov

2006

Comput Geosci

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A method for multiscale parameter estimation with application to reservoir history matching is presented. Starting from a given fine-scale model, coarser models are generated using a global upscaling technique where the coarse models are tuned to match the solution of the fine model. Conditioning to dynamic data is done by history-matching the coarse model. Using consistently the same resolution both for the forward and inverse problems, this model is successively refined using a combination of downscaling and history matching until model-matching dynamic data are obtained at the finest scale. Large-scale corrections are obtained using fast models, which, combined with a downscaling procedure, provide a better initial model for the final adjustment on the fine scale. The result is thus a series of models with different resolution, all matching history as good as possible with this grid. Numerical examples show that this method may significantly reduce the computational effort and/or improve the quality of the solution when achieving a fine-scale match as compared to history-matching directly on the fine scale.

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Section: Downscalingmentioning

confidence: 99%

A multiscale method for distributed parameter estimation with application to reservoir history matching

Aanonsen

Eydinov

2006

Comput Geosci

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“…The theory and application in this area is very well documented. [8][9][10][11]31 Source Rock Characterization…”

Section: Seismic Data Processingmentioning

confidence: 99%

Review of the Application of Wavelet Analysis in the Petroleum Industry

Guan¹,

Du²

2004

Canadian International Petroleum Conference

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Wavelet transforms are a family of basis functions that separate a function of a signal into distinct frequency packets that are localized in the time domain. Thus, wavelets are well suited for analyzing nonstationary data. It can smooth the basic signals and keep and even enhance of details. So it provides a multiresolution framework for data representation.Wavelet transform is now used in a wide variety of applications in the areas of medicine, biology, data compression, etc. In recent years, wavelet analysis is increasingly applied to the data analysis in petroleum industry. This paper reviews the recent application of the wavelet transform methodologies to data analysis in petroleum industry, especially the application in reservoir engineering fields. Various field examples are provided to demonstrate the applications of wavelet transform in petroleum industry, especially in the areas of well testing, well logging, seismic, and petroleum geology.

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“…A more comprehensive geostatistical downscaling procedure did not result in any significant improvement and was not pursued further. 23,24 The permeability changes in the fine-scale model were then compared with the facies model to examine any underlying trends. Fig.…”

Section: Upscaling and Travel Time Inversionmentioning

confidence: 99%

Streamline-based Production Data Integration Under Realistic Field Conditions: Experience in a Giant Middle-Eastern Reservoir

Qassab¹,

Khalifa²,

Afaleg³

et al. 2003

Proceedings of SPE Annual Technical Conference and Exhibition

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In this paper we apply the streamline-based production data integration method to condition a multimillion cell geologic model to historical production response for a giant Saudi Arabian reservoir. The field has been under peripheral water injection with 16 injectors and 70 producers. There is also a strong aquifer influx into the field. A total of 30 years of production history with detailed rate, infill well and reperforation schedule were incorporated via multiple pressure updates during streamline simulation. Also, gravity and compressibility effects were included to account for water slumping and aquifer support. To our knowledge, this is the first and the largest such application of production data integration to geologic models accounting for realistic field conditions. We have developed novel techniques to analytically compute the sensitivities of the production response in the presence of gravity and changing field conditions. This makes our method extremely computationally efficient. For the field application, the production data integration is carried out in less than 6 hours in a PC.The geologic model derived after conditioning to production response was validated using field surveillance data. In particular, the flood front movement, the aquifer encroachment and bypassed oil locations obtained from the geologic model was found to be consistent with field observations. Finally, an examination of the permeability changes during production data integration revealed that most of these changes were aligned along the facies distribution, particularly the 'good' facies distribution with no resulting loss in geologic realism. TX 75083-3836, U.S.A., fax 01-972-952-9435.

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Incorporating Seismic Attribute Maps in 3D Reservoir Models

Cited by 64 publications

References 10 publications

A multiscale method for distributed parameter estimation with application to reservoir history matching

A multiscale method for distributed parameter estimation with application to reservoir history matching

Review of the Application of Wavelet Analysis in the Petroleum Industry

Streamline-based Production Data Integration Under Realistic Field Conditions: Experience in a Giant Middle-Eastern Reservoir

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