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Khyati Rai

age ~39

from Mandeville, LA

Also known as:
  • Khyati R Chennai

Khyati Rai Phones & Addresses

  • Mandeville, LA
  • Bellaire, TX
  • Sugar Land, TX
  • Houston, TX
  • Austin, TX
  • Las Vegas, NV

Us Patents

  • Computer-Implemented Systems And Methods For Forecasting Performance Of Polymer Flooding Of An Oil Reservoir System

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  • US Patent:
    20120053920, Mar 1, 2012
  • Filed:
    Aug 31, 2010
  • Appl. No.:
    12/872923
  • Inventors:
    Khyati Rai - Sugar Land TX, US
    Arnaldo L. Espinel - Richmond TX, US
    Ganesh C. Thakur - Houston TX, US
  • International Classification:
    G06G 7/48
  • US Classification:
    703 10
  • Abstract:
    Systems and methods are provided for forecasting performance of polymer flooding of an oil reservoir system. For example, property data of the oil reservoir system and polymer flooding scenario data are received. Numerical simulations are performed to generate values of an effective mobility ratio and response time for the polymer and water flooding. A correlation for the polymer flooding effective mobility ratio is determined and used in a predictive model to generate polymer and water flooding performance data, representative of oil recovery by the polymer and water flooding of the oil reservoir system.
  • Computer-Implemented Systems And Methods For Forecasting Performance Of Water Flooding Of An Oil Reservoir System Using A Hybrid Analytical-Empirical Methodology

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  • US Patent:
    20120101759, Apr 26, 2012
  • Filed:
    Oct 25, 2010
  • Appl. No.:
    12/911431
  • Inventors:
    Khyati Rai - Sugar Land TX, US
    Arnaldo L. Espinel - Richmond TX, US
    Ganesh C. Thakur - Houston TX, US
  • Assignee:
    Chevron U.S.A. Inc. - San Ramon CA
  • International Classification:
    G06F 17/18
    G06G 7/48
    G06F 19/00
  • US Classification:
    702 85, 703 10
  • Abstract:
    Computer-implemented systems and methods are provided for generating corrected performance data of water flooding of an oil reservoir system based on application of a statistical correction factor methodology (SCF). For example, data related to properties of the oil reservoir system and data related to a water flooding scenario are received. Water flooding performance data is generated based on application of an analytical water flooding performance computation methodology. Based on application of the SCF methodology to the generated water flooding performance data, corrected water flooding performance data is determined, representative of oil recovery by the water flooding of the oil reservoir system. The SCF methodology can also be used to evaluate water production based on parameters such as water-oil ratio and water cut, identify possible analog reservoirs that have similar water production performance, and calculate a Gross Injection Factor to account for water loss in the reservoir.

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