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Title: Assignment and calibration of relative permeability by hydrostratigraphic units for multiphase flow analysis, case study: CO2-EOR operations at the Farnsworth Unit, Texas

Abstract

Included in the most critical factors for geological CO2 storage site screening, selection, and operation is effective simulations of multiphase flow and transport. Relative permeability is probably the greatest source of potential uncertainty in multiphase flow simulation, second only to intrinsic permeability heterogeneity. The specific relative permeability relationship assigned greatly impacts forecasts of CO2 trapping mechanisms, phase behavior, and long-term plume movement. A primary goal of this study is to evaluate the impacts and implications of different methods of assigning relative permeability relationships for CO2-EOR model forecasts.Most simulation studies published in the literature base selection of relative permeability functions on the geologic formation or rock type alone. In this study, we initially implemented reservoir model grids with previously-identified hydrostratigraphic units based on porosity and permeability relationship of the Morrow ‘B’ Sandstone, then assigned relative permeability functions for those hydrostratigraphic units. Specific, constrained relative permeability relationships were created and assigned to each hydrostratigraphic unit using petrophysical data and Mercury Intrusion Capillary Pressure (MICP) measurements, from core samples of each hydrostratigraphic unit. Results of forward simulations with the newly-calibrated models will be compared to those of previous models as well as to simulation results for a range of different relative permeability relationships.Themore » study site is the Farnsworth Unit (FWU) in the northeast Texas Panhandle, an active CO2-EOR operation. The target formation is the Morrow ‘B’ Sandstone, a clastic formation composed of medium to course sands.« less

Authors:
 [1];  [2]; ORCiD logo [1];  [3];  [1]
  1. Univ. of Utah, Salt Lake City, UT (United States)
  2. New Mexico Inst. of Mining and Technology, Socorro, NM (United States)
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE); Southwest Regional Partnership on Carbon Sequestration (SWP); USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1639065
Report Number(s):
SAND-2020-6394J
Journal ID: ISSN 1750-5836; 686837
Grant/Contract Number:  
AC04-94AL85000; FC26-05NT42591; NA0003525
Resource Type:
Accepted Manuscript
Journal Name:
International Journal of Greenhouse Gas Control
Additional Journal Information:
Journal Volume: 81; Journal ID: ISSN 1750-5836
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; Relative permeability; Hydrostratigraphic unit; Carbon sequestration; Carbon dioxide; Numerical modeling; Multiphase flow

Citation Formats

Moodie, Nathan, Ampomah, William, Jia, Wei, Heath, Jason, and McPherson, Brian. Assignment and calibration of relative permeability by hydrostratigraphic units for multiphase flow analysis, case study: CO2-EOR operations at the Farnsworth Unit, Texas. United States: N. p., 2018. Web. doi:10.1016/j.ijggc.2018.09.014.
Moodie, Nathan, Ampomah, William, Jia, Wei, Heath, Jason, & McPherson, Brian. Assignment and calibration of relative permeability by hydrostratigraphic units for multiphase flow analysis, case study: CO2-EOR operations at the Farnsworth Unit, Texas. United States. https://doi.org/10.1016/j.ijggc.2018.09.014
Moodie, Nathan, Ampomah, William, Jia, Wei, Heath, Jason, and McPherson, Brian. Thu . "Assignment and calibration of relative permeability by hydrostratigraphic units for multiphase flow analysis, case study: CO2-EOR operations at the Farnsworth Unit, Texas". United States. https://doi.org/10.1016/j.ijggc.2018.09.014. https://www.osti.gov/servlets/purl/1639065.
@article{osti_1639065,
title = {Assignment and calibration of relative permeability by hydrostratigraphic units for multiphase flow analysis, case study: CO2-EOR operations at the Farnsworth Unit, Texas},
author = {Moodie, Nathan and Ampomah, William and Jia, Wei and Heath, Jason and McPherson, Brian},
abstractNote = {Included in the most critical factors for geological CO2 storage site screening, selection, and operation is effective simulations of multiphase flow and transport. Relative permeability is probably the greatest source of potential uncertainty in multiphase flow simulation, second only to intrinsic permeability heterogeneity. The specific relative permeability relationship assigned greatly impacts forecasts of CO2 trapping mechanisms, phase behavior, and long-term plume movement. A primary goal of this study is to evaluate the impacts and implications of different methods of assigning relative permeability relationships for CO2-EOR model forecasts.Most simulation studies published in the literature base selection of relative permeability functions on the geologic formation or rock type alone. In this study, we initially implemented reservoir model grids with previously-identified hydrostratigraphic units based on porosity and permeability relationship of the Morrow ‘B’ Sandstone, then assigned relative permeability functions for those hydrostratigraphic units. Specific, constrained relative permeability relationships were created and assigned to each hydrostratigraphic unit using petrophysical data and Mercury Intrusion Capillary Pressure (MICP) measurements, from core samples of each hydrostratigraphic unit. Results of forward simulations with the newly-calibrated models will be compared to those of previous models as well as to simulation results for a range of different relative permeability relationships.The study site is the Farnsworth Unit (FWU) in the northeast Texas Panhandle, an active CO2-EOR operation. The target formation is the Morrow ‘B’ Sandstone, a clastic formation composed of medium to course sands.},
doi = {10.1016/j.ijggc.2018.09.014},
journal = {International Journal of Greenhouse Gas Control},
number = ,
volume = 81,
place = {United States},
year = {Thu Dec 27 00:00:00 EST 2018},
month = {Thu Dec 27 00:00:00 EST 2018}
}

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