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Title: Impact of Three-Phase Relative Permeability and Hysteresis Models on Forecasts of Storage Associated With CO2-EOR

Abstract

Geological CO2 sequestration in conjunction with enhanced oil recovery (CO2-EOR) includes complex multiphase flow processes compared to CO2 storage in deep saline aquifers. Two of the most critical factors affecting multiphase flow in CO2-EOR are three-phase relative permeability and associated hysteresis, both of which are difficult to measure and are usually represented by numerical interpolation models. The purpose of this research is to improve understanding of (1) the relative impacts of different three-phase relative permeability models and hysteresis models on CO2 trapping mechanisms, and (2) uncertainty associated with these two factors. Four different three-phase relative permeability models and three hysteresis models were applied to simulations of an active CO2-EOR site, the SACROC unit located in western Texas. To eliminate potential bias of deterministic parameters, we utilized a sequential Gaussian simulation technique to generate 50 realizations to describe heterogeneity of porosity and permeability, based on data obtained from well logs and seismic survey. Simulation results of forecasted CO2 storage suggested that (1) the choice of three-phase relative permeability model and hysteresis model led to noticeable impacts on forecasted CO2 sequestration capacity; (2) impacts of three-phase relative permeability models and hysteresis models on CO2 trapping are small during the CO2-EOR injection period,more » and increase during the post-EOR CO2 injection period; (3) the specific choice of hysteresis model is more important relative to the choice of three-phase relative permeability model; and (4) using the recommended three-phase WAG (Water-Alternating-Gas) hysteresis model may increase the impact of three-phase relative permeability models and uncertainty due to heterogeneity.« less

Authors:
ORCiD logo [1];  [1];  [2]; ORCiD logo [3];  [1]; ORCiD logo [1]
  1. Univ. of Utah, Salt Lake City, UT (United States)
  2. Utah Division of Water Resources, Salt Lake City, UT (United States)
  3. Jilin Univ., Changchun (China); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); Southwest Regional Partnership on Carbon Sequestration (SWP); Utah Science Technology and Research Initiative (USTAR)
OSTI Identifier:
1558052
Alternate Identifier(s):
OSTI ID: 1422241
Report Number(s):
LA-UR-18-29374
Journal ID: ISSN 0043-1397
Grant/Contract Number:  
89233218CNA000001; FC26‐05NT42591; FC26-05NT42591
Resource Type:
Accepted Manuscript
Journal Name:
Water Resources Research
Additional Journal Information:
Journal Volume: 54; Journal Issue: 2; Journal ID: ISSN 0043-1397
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; CO2 enhanced oil recovery (CO2‐EOR); CO2 sequestration; three‐phase relative permeability; hysteresis; trapping mechanisms

Citation Formats

Jia, Wei, McPherson, Brian, Pan, Feng, Dai, Zhenxue, Moodie, Nathan, and Xiao, Ting. Impact of Three-Phase Relative Permeability and Hysteresis Models on Forecasts of Storage Associated With CO2-EOR. United States: N. p., 2017. Web. doi:10.1002/2017WR021273.
Jia, Wei, McPherson, Brian, Pan, Feng, Dai, Zhenxue, Moodie, Nathan, & Xiao, Ting. Impact of Three-Phase Relative Permeability and Hysteresis Models on Forecasts of Storage Associated With CO2-EOR. United States. doi:10.1002/2017WR021273.
Jia, Wei, McPherson, Brian, Pan, Feng, Dai, Zhenxue, Moodie, Nathan, and Xiao, Ting. Thu . "Impact of Three-Phase Relative Permeability and Hysteresis Models on Forecasts of Storage Associated With CO2-EOR". United States. doi:10.1002/2017WR021273. https://www.osti.gov/servlets/purl/1558052.
@article{osti_1558052,
title = {Impact of Three-Phase Relative Permeability and Hysteresis Models on Forecasts of Storage Associated With CO2-EOR},
author = {Jia, Wei and McPherson, Brian and Pan, Feng and Dai, Zhenxue and Moodie, Nathan and Xiao, Ting},
abstractNote = {Geological CO2 sequestration in conjunction with enhanced oil recovery (CO2-EOR) includes complex multiphase flow processes compared to CO2 storage in deep saline aquifers. Two of the most critical factors affecting multiphase flow in CO2-EOR are three-phase relative permeability and associated hysteresis, both of which are difficult to measure and are usually represented by numerical interpolation models. The purpose of this research is to improve understanding of (1) the relative impacts of different three-phase relative permeability models and hysteresis models on CO2 trapping mechanisms, and (2) uncertainty associated with these two factors. Four different three-phase relative permeability models and three hysteresis models were applied to simulations of an active CO2-EOR site, the SACROC unit located in western Texas. To eliminate potential bias of deterministic parameters, we utilized a sequential Gaussian simulation technique to generate 50 realizations to describe heterogeneity of porosity and permeability, based on data obtained from well logs and seismic survey. Simulation results of forecasted CO2 storage suggested that (1) the choice of three-phase relative permeability model and hysteresis model led to noticeable impacts on forecasted CO2 sequestration capacity; (2) impacts of three-phase relative permeability models and hysteresis models on CO2 trapping are small during the CO2-EOR injection period, and increase during the post-EOR CO2 injection period; (3) the specific choice of hysteresis model is more important relative to the choice of three-phase relative permeability model; and (4) using the recommended three-phase WAG (Water-Alternating-Gas) hysteresis model may increase the impact of three-phase relative permeability models and uncertainty due to heterogeneity.},
doi = {10.1002/2017WR021273},
journal = {Water Resources Research},
number = 2,
volume = 54,
place = {United States},
year = {2017},
month = {12}
}

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