Principle and Application of Filtersim Algorithm

Meng Ying Dai; Shao Hua Li; Yong Biao Wang

doi:10.4028/www.scientific.net/AMR.962-965.172

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Organic Geochemistry of the Fossil-Bearing Phosphorites from Neoproterozoic Doushantuo Formation at Weng'an, South China
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Permo-Carboniferous Sedimentary Facies Analysis in Northeast Jizhong Depression
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PGE Geochemical Characteristics of the Huangshanxi Magmatic Ni-Cu Sulfide Deposit, East Tianshan, Xinjiang, and its Significance for the Mineralization
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Predicted Enhanced Coalbed Methane Recovery and CO₂ Sequestration in West Henan Province
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Principle and Application of Filtersim Algorithm
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Research Progress in Logging Evaluation of Organic Carbon
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Sequence Stratigraphic Research of the Jurassic in the East of Tarim Basin, Northwest China
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The Broad Concept and Resource Calculation Method of Coalbed Methane
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The Definition of Apparent Resistivity in Magnetotelluric Sounding
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 962-965Principle and Application of Filtersim Algorithm

Principle and Application of Filtersim Algorithm

Abstract:

Multiple-point statistics (MPS) is not only integrated the merits of pixel-based and object-based modeling algorithms, but it precisely describes reservoirs complicated steric configurations and geometrical form. Taking L1V formation of W offshore oilfield as an example, to resolve the problem of simulation time-consuming and large memory footprint under large training image and data template in MPS modelling, stochastic simulation of the reservoir has been established by using the new MPS Filtersim method. In this paper, the basic principles of MPS Filtersim algorithm and its application in research area are briefly introduced . According to the microfacies map in research area, training image can be established and the reservoir sedimentary facies model constrained by well-logging data can be built in SGeMS with Filtersim method. The research result shows that this algorithm requires less memory storage and can not only describe the distribution of channel, overbank and the interlayers rapidly and correctly,but it reproduces the spatial distribution law of reservoirs accurately.

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Periodical:

Advanced Materials Research (Volumes 962-965)

Pages:

172-175

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.962-965.172

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Online since:

June 2014

Authors:

Meng Ying Dai, Shao Hua Li*, Yong Biao Wang

Keywords:

Facies Modeling, Filtersim Algorithm, Multiple-Point Statistics, Training Image

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* - Corresponding Author

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