Imbibition well stimulation via neural network design

Weiss, William

Title: Imbibition well stimulation via neural network design

Abstract

A method for stimulation of hydrocarbon production via imbibition by utilization of surfactants. The method includes use of fuzzy logic and neural network architecture constructs to determine surfactant use.

Inventors:

Weiss, William ^[1]

Socorro, NM

Issue Date:: 2007-08-14

Research Org.:: Correlations Co Inc

Sponsoring Org.:: USDOE

OSTI Identifier:: 913577

Patent Number(s):: 7255166

Application Number:: 10/901,865

Assignee:: Weiss, William (Socorro, NM)

Patent Classifications (CPCs):: E - FIXED CONSTRUCTIONS E21 - EARTH DRILLING E21B - EARTH DRILLING, e.g. DEEP DRILLING

Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y10 - TECHNICAL SUBJECTS COVERED BY FORMER USPC Y10S - TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS

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E - FIXED CONSTRUCTIONS E21 - EARTH DRILLING E21B - EARTH DRILLING, e.g. DEEP DRILLING
E21B43/16 - Enhanced recovery methods for obtaining hydrocarbons

Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y10 - TECHNICAL SUBJECTS COVERED BY FORMER USPC Y10S - TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
Y10S706/929 - Geological, e.g. seismology

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DOE Contract Number:: FG03-01ER83226

Resource Type:: Patent

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Weiss, William. Imbibition well stimulation via neural network design.  United States: N. p., 2007. 
        Web.

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                    Weiss, William. Imbibition well stimulation via neural network design.  United States.

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                    Weiss, William. Tue .  
        "Imbibition well stimulation via neural network design".  United States.  https://www.osti.gov/servlets/purl/913577.

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@article{osti_913577,

  title        = {Imbibition well stimulation via neural network design},

  author       = {Weiss, William},

  abstractNote = {A method for stimulation of hydrocarbon production via imbibition by utilization of surfactants. The method includes use of fuzzy logic and neural network architecture constructs to determine surfactant use.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2007},

  month        = {8}

}

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Works referenced in this record:

Fractured Reservoir Characterization and Performance Forecasting Using Geomechanics and Artificial Intelligence
conference, April 2013

Ouenes, A.; Richardson, S.; Weiss, W. W.
SPE Annual Technical Conference and Exhibition
https://doi.org/10.2118/30572-MS

One Core, Few Modern Logs, and Limited Production Data: Is Reliable Reservoir Characterization Possible?
conference, April 2013

Chawathe, A.; Ouenes, A.; Ali, M.
SPE Western Regional Meeting
https://doi.org/10.2118/38260-MS

Obtain an Optimum Artificial Neural Network Model for Reservoir Studies
conference, April 2013

Du, Yuqi; Weiss, W. W.; Jianyun, Xu
SPE Annual Technical Conference and Exhibition
https://doi.org/10.2118/84445-MS

Integrating Core Porosity and Sw Measurements with Log Values
conference, April 2013

Weiss, W. W.; Wo, S.; Balch, R. S.
SPE Rocky Mountain Regional Meeting
https://doi.org/10.2118/55642-MS

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Title: Imbibition well stimulation via neural network design

Abstract

Citation Formats

Fractured Reservoir Characterization and Performance Forecasting Using Geomechanics and Artificial Intelligence conference, April 2013

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Integrating Core Porosity and Sw Measurements with Log Values conference, April 2013

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conference, April 2013

One Core, Few Modern Logs, and Limited Production Data: Is Reliable Reservoir Characterization Possible?
conference, April 2013

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conference, April 2013