TY - JOUR
T1 - Modelling and optimization of enhanced coalbed methane recovery using CO2/N2 mixtures
AU - Fan, Chaojun
AU - Elsworth, Derek
AU - Li, Sheng
AU - Chen, Zhongwei
AU - Luo, Mingkun
AU - Song, Yu
AU - Zhang, Haohao
N1 - Funding Information:
The author(s) thank the editors and anonymous reviewers for their comments and suggestions. This research was financially supported by the National Natural Science Foundation of China (Grant Nos. 51674132 and 51874159 ), the Research Fund of State Key Laboratory Cultivation Base for Gas Geology and Gas Control ( Henan Polytechnic University ) (Grant No. WS2018B05 ), the Basic Research Project of Key Laboratory of Liaoning Provincial Education Department (Grant No. LJZS004 ), and the Postdoctoral Science Foundation of China (Grant No. 2018M641675 ).
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/10/1
Y1 - 2019/10/1
N2 - Injection of gas mixtures (CO2, N2)into coal seams is an efficient method to both reduce CO2 emissions and increase the recovery of coalbed methane. This process involves a series of complex interactions between ternary gases (CH4, CO2, and N2)co-adsorption on coals, mass transport of two-phase flow, together with heat transfer and coal deformation. We develop an improved thermo-hydro-mechanical (THM)model coupling these responses for gas mixture enhanced CBM recovery (GM-ECBM). The model is first validated, and then applied to simulate and explore the evolution of key parameters during GM-ECBM recovery. Schedules of constant- and variable-composition injection are optimized to maximize CH4 recovery and CO2 sequestration. Result shows that the injected gas mixture displaces CH4 through competitive sorption and accelerates the transport of CH4 within the coal seam. The consistency between the modelling and field results verifies the feasibility and fidelity of the THM model for effective simulation key processes in GM-ECBM. Permeability evolution is strongly influenced by the combined effects of CH4 desorption induced matrix shrinkage, CO2/N2 adsorption induced matrix swelling, thermal strains, and compaction induced by changes in effective stress. During ECBM, reservoir permeability first increases due to pressure depletion and CH4 desorption, then dramatically decreases due to matrix swelling activated by the arrival of the CO2/N2 mixture. CH4 pressure decreases rapidly at early time due to displacement by the injected gas mixture, and then deceases slowly in the later stage. The sweep of N2 accelerates CH4 desorption and subsequent transport, and hence promotes a decrease in reservoir temperatures distant from the injection well even prior to the arrival of CO2. CH4 production rate during GM-ECBM exhibits a decline-increase-decline trend and usually has an elevated but delayed CH4 production peak compared to primary recovery. A higher CO2 Langmuir strain constant reduces the critical CO2 composition in the injected mixture when reaching the threshold of well shut down. An improved balance between early threshold (N2)and large matrix swelling (CO2)can be achieved by injection beginning with low CO2 composition and following with a sequential increase of CO2 composition. In studied cases, the gas recovery ratio of the optimal variable-composition case reaches 68.4% compared to of 59.4% pure CO2 and 64.2% of optimal constant-composition cases, indicating a higher efficiency of variable-composition injection.
AB - Injection of gas mixtures (CO2, N2)into coal seams is an efficient method to both reduce CO2 emissions and increase the recovery of coalbed methane. This process involves a series of complex interactions between ternary gases (CH4, CO2, and N2)co-adsorption on coals, mass transport of two-phase flow, together with heat transfer and coal deformation. We develop an improved thermo-hydro-mechanical (THM)model coupling these responses for gas mixture enhanced CBM recovery (GM-ECBM). The model is first validated, and then applied to simulate and explore the evolution of key parameters during GM-ECBM recovery. Schedules of constant- and variable-composition injection are optimized to maximize CH4 recovery and CO2 sequestration. Result shows that the injected gas mixture displaces CH4 through competitive sorption and accelerates the transport of CH4 within the coal seam. The consistency between the modelling and field results verifies the feasibility and fidelity of the THM model for effective simulation key processes in GM-ECBM. Permeability evolution is strongly influenced by the combined effects of CH4 desorption induced matrix shrinkage, CO2/N2 adsorption induced matrix swelling, thermal strains, and compaction induced by changes in effective stress. During ECBM, reservoir permeability first increases due to pressure depletion and CH4 desorption, then dramatically decreases due to matrix swelling activated by the arrival of the CO2/N2 mixture. CH4 pressure decreases rapidly at early time due to displacement by the injected gas mixture, and then deceases slowly in the later stage. The sweep of N2 accelerates CH4 desorption and subsequent transport, and hence promotes a decrease in reservoir temperatures distant from the injection well even prior to the arrival of CO2. CH4 production rate during GM-ECBM exhibits a decline-increase-decline trend and usually has an elevated but delayed CH4 production peak compared to primary recovery. A higher CO2 Langmuir strain constant reduces the critical CO2 composition in the injected mixture when reaching the threshold of well shut down. An improved balance between early threshold (N2)and large matrix swelling (CO2)can be achieved by injection beginning with low CO2 composition and following with a sequential increase of CO2 composition. In studied cases, the gas recovery ratio of the optimal variable-composition case reaches 68.4% compared to of 59.4% pure CO2 and 64.2% of optimal constant-composition cases, indicating a higher efficiency of variable-composition injection.
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U2 - 10.1016/j.fuel.2019.04.158
DO - 10.1016/j.fuel.2019.04.158
M3 - Article
AN - SCOPUS:85066069797
SN - 0016-2361
VL - 253
SP - 1114
EP - 1129
JO - Fuel
JF - Fuel
ER -