A Fuzzy Method to Classify Low Permeability Reservoirs

Cheng Gang Duan; Ji Cheng Zhang

doi:10.4028/www.scientific.net/AMR.524-527.1300

Paper Titles

Study on the Fuzzy Synthetic Evaluation for Pumping Units in Low Permeability Oilfield
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Study on the Oilfield Produced Water Geothermal Resource Utilization
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Preliminary Discussion on the Source Identification of Oil Spills Based on the Nitrogen Isotopic Characteristics
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3D Modeling of Hydraulic Fracturing in Tight Gas Reservoirs by Using of FLAC3D and Validation through Comparison with FracPro
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A Fuzzy Method to Classify Low Permeability Reservoirs
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A Fuzzy Method to Judge Water Passages with Ineffective Injection-Production for Heterogeneous Sandstone Reservoir
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A New Model for Predicting Productivity and Application for Fractured Horizontal Wells
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A Novel Approach of Cuttings Transport with Bubbles in Horizontal Wells
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A Study of a New Stage Cementing Tool and its Field Application
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 524-527A Fuzzy Method to Classify Low Permeability...

A Fuzzy Method to Classify Low Permeability Reservoirs

Abstract:

Cluster analysis is a multivariate statistical method of the study of sample (or variables) classification, gradually classified by the analysis of the sample or the similarity between the variables. In this paper, taking the case of Daqing low permeability reservoir, according to the movable fluid saturation, the average throat radius and the starting pressure gradient, we used cluster analysis method to conduct the multi-parameter classification of low permeability porous media, and achieved good results. The results showed that: The method in low permeability porous media category is feasible and has strong rationality.

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Periodical:

Advanced Materials Research (Volumes 524-527)

Pages:

1300-1305

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.524-527.1300

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Online since:

May 2012

Authors:

Cheng Gang Duan, Ji Cheng Zhang

Keywords:

Classification, Fuzzy, Low-Permeability Reservoir, Multi-Parameter

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