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Title: Model calibration and optimization of a post-combustion CO 2 WAG pilot in a mature oil field

Abstract

A carbon dioxide (CO 2) water-alternating-gas (WAG) pilot was conducted to gain insights into tertiary oil recovery potential via CO 2 flood in the West Ranch Field as part of the Petra Nova project, the world's largest postcombustion CO 2 capture and utilization initiative. With a fluvial formation geology, this is a challenging and novel application of CO 2 enhanced oil recovery. The aim of this study is two-fold. First, to build a predictive dynamic model that incorporates the data acquired during the pilot operation. Second, to utilize this model to provide guidance for optimal design for a field-wide CO 2 EOR operation. Our study began with an initialization of the pilot sector model extracted from a calibrated full-field model. The pilot model calibration follows a two-step hierarchical workflow. First, we performed a large-scale update of the permeability distribution by integrating available bottomhole pressure and multiphase production data. Next, local permeability field is fine-tuned using a streamline-based method to match CO 2 breakthrough times at the producers. The predictive capability of the calibrated model was verified through two blind validation tests: (1) the model showed good agreement with saturation logs acquired at two observation wells; and (2) the model reproducedmore » the CO 2 recovery as a fraction of the injected CO 2. Sensitivity studies were conducted using the calibrated pilot model to evaluate the effects of various operational parameters. Finally, we performed a Design of Experiment based multi-objective optimization of the CO 2 WAG processes using the influential operational parameters identified from the sensitivity analysis.« less

Authors:
 [1];  [2];  [2];  [3];  [3];  [3]
  1. Texas A&M Univ., College Station, TX (United States). Dept. of Petroleum Engineering; Quantum Reservoir Impact, Houston, TX (United States)
  2. Texas A&M Univ., College Station, TX (United States). Dept. of Petroleum Engineering
  3. JX Nippon Oil & Gas Exploration Corporation, Houston, TX (United States)
Publication Date:
Research Org.:
Texas A&M Experiment Station, College Station, TX (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1570691
Alternate Identifier(s):
OSTI ID: 1547153
Grant/Contract Number:  
FE0031625
Resource Type:
Accepted Manuscript
Journal Name:
Fuel
Additional Journal Information:
Journal Volume: 255; Journal Issue: C; Journal ID: ISSN 0016-2361
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
02 PETROLEUM; CO2 enhanced oil recovery; model calibration; WAG optimization; design of experiment

Citation Formats

Olalotiti-Lawal, Feyi, Onishi, Tsubasa, Datta-Gupta, Akhil, Fujita, Yusuke, Watanabe, Daiki, and Hagiwara, Kenji. Model calibration and optimization of a post-combustion CO2 WAG pilot in a mature oil field. United States: N. p., 2019. Web. doi:10.1016/j.fuel.2019.115810.
Olalotiti-Lawal, Feyi, Onishi, Tsubasa, Datta-Gupta, Akhil, Fujita, Yusuke, Watanabe, Daiki, & Hagiwara, Kenji. Model calibration and optimization of a post-combustion CO2 WAG pilot in a mature oil field. United States. doi:10.1016/j.fuel.2019.115810.
Olalotiti-Lawal, Feyi, Onishi, Tsubasa, Datta-Gupta, Akhil, Fujita, Yusuke, Watanabe, Daiki, and Hagiwara, Kenji. Fri . "Model calibration and optimization of a post-combustion CO2 WAG pilot in a mature oil field". United States. doi:10.1016/j.fuel.2019.115810.
@article{osti_1570691,
title = {Model calibration and optimization of a post-combustion CO2 WAG pilot in a mature oil field},
author = {Olalotiti-Lawal, Feyi and Onishi, Tsubasa and Datta-Gupta, Akhil and Fujita, Yusuke and Watanabe, Daiki and Hagiwara, Kenji},
abstractNote = {A carbon dioxide (CO2) water-alternating-gas (WAG) pilot was conducted to gain insights into tertiary oil recovery potential via CO2 flood in the West Ranch Field as part of the Petra Nova project, the world's largest postcombustion CO2 capture and utilization initiative. With a fluvial formation geology, this is a challenging and novel application of CO2 enhanced oil recovery. The aim of this study is two-fold. First, to build a predictive dynamic model that incorporates the data acquired during the pilot operation. Second, to utilize this model to provide guidance for optimal design for a field-wide CO2 EOR operation. Our study began with an initialization of the pilot sector model extracted from a calibrated full-field model. The pilot model calibration follows a two-step hierarchical workflow. First, we performed a large-scale update of the permeability distribution by integrating available bottomhole pressure and multiphase production data. Next, local permeability field is fine-tuned using a streamline-based method to match CO2 breakthrough times at the producers. The predictive capability of the calibrated model was verified through two blind validation tests: (1) the model showed good agreement with saturation logs acquired at two observation wells; and (2) the model reproduced the CO2 recovery as a fraction of the injected CO2. Sensitivity studies were conducted using the calibrated pilot model to evaluate the effects of various operational parameters. Finally, we performed a Design of Experiment based multi-objective optimization of the CO2 WAG processes using the influential operational parameters identified from the sensitivity analysis.},
doi = {10.1016/j.fuel.2019.115810},
journal = {Fuel},
number = C,
volume = 255,
place = {United States},
year = {2019},
month = {11}
}

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