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Title: System and method for optimizing hydrocarbon production from subsurface reservoirs

Abstract

A method is described for subsurface hydrocarbon reservoir characterization including receiving a time-lapse electromagnetic (EM) dataset and a flow dataset; inverting the time-lapse EM dataset using a parametric inversion that models steel well casings to determine a volume of fluid-changed reservoir; inverting the time-lapse EM dataset and the flow dataset using a joint inversion that honors the volume of the fluid-changed reservoir to determine relative permeability and capillary pressure; and characterizing flow characteristics in the volume of the fluid-changed reservoir. The method may be executed by a computer system.

Inventors:
;
Issue Date:
Research Org.:
Chevron U.S.A. Inc., San Ramon, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1859970
Patent Number(s):
11150377
Application Number:
16/516,016
Assignee:
Chevron U.S.A. Inc. (San Ramon, CA)
Patent Classifications (CPCs):
E - FIXED CONSTRUCTIONS E21 - EARTH DRILLING E21B - EARTH DRILLING, e.g. DEEP DRILLING
G - PHYSICS G01 - MEASURING G01V - GEOPHYSICS
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Patent
Resource Relation:
Patent File Date: 07/18/2019
Country of Publication:
United States
Language:
English

Citation Formats

Hoversten, Gary Michael, and Commer, Michael. System and method for optimizing hydrocarbon production from subsurface reservoirs. United States: N. p., 2021. Web.
Hoversten, Gary Michael, & Commer, Michael. System and method for optimizing hydrocarbon production from subsurface reservoirs. United States.
Hoversten, Gary Michael, and Commer, Michael. Tue . "System and method for optimizing hydrocarbon production from subsurface reservoirs". United States. https://www.osti.gov/servlets/purl/1859970.
@article{osti_1859970,
title = {System and method for optimizing hydrocarbon production from subsurface reservoirs},
author = {Hoversten, Gary Michael and Commer, Michael},
abstractNote = {A method is described for subsurface hydrocarbon reservoir characterization including receiving a time-lapse electromagnetic (EM) dataset and a flow dataset; inverting the time-lapse EM dataset using a parametric inversion that models steel well casings to determine a volume of fluid-changed reservoir; inverting the time-lapse EM dataset and the flow dataset using a joint inversion that honors the volume of the fluid-changed reservoir to determine relative permeability and capillary pressure; and characterizing flow characteristics in the volume of the fluid-changed reservoir. The method may be executed by a computer system.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {10}
}

Works referenced in this record:

Electromagnetic Reservoir Monitoring Systems and Methods Including Earth Modeling
patent-application, June 2019


Systems and Methods for Characterizing Materials External of a Casing
patent-application, May 2018


Time-Lapse Electromagnetic Monitoring
patent-application, September 2016


Method for upscaling a reservoir model using deep reading measurements
patent-application, June 2009