Risk probability evaluation for the effect of obstacle on CO2 leakage and dispersion indoors based on uncertainty theory

2022 ◽  
Vol 74 ◽  
pp. 104652
Author(s):  
Zhirong Wang ◽  
Yongjun Li ◽  
Xuan Tong ◽  
Junhui Gong
Author(s):  
Tomohiro YASUDA ◽  
Haruki TANAKA ◽  
Kohei SHIGETA ◽  
Junichi TANIGUCHI ◽  
Toshikazu KITANO

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2452
Author(s):  
Tian Qiao ◽  
Hussein Hoteit ◽  
Marwan Fahs

Geological carbon storage is an effective method capable of reducing carbon dioxide (CO2) emissions at significant scales. Subsurface reservoirs with sealing caprocks can provide long-term containment for the injected fluid. Nevertheless, CO2 leakage is a major concern. The presence of abandoned wells penetrating the reservoir caprock may cause leakage flow-paths for CO2 to the overburden. Assessment of time-varying leaky wells is a need. In this paper, we propose a new semi-analytical approach based on pressure-transient analysis to model the behavior of CO2 leakage and corresponding pressure distribution within the storage site and the overburden. Current methods assume instantaneous leakage of CO2 occurring with injection, which is not realistic. In this work, we employ the superposition in time and space to solve the diffusivity equation in 2D radial flow to approximate the transient pressure in the reservoirs. Fluid and rock compressibilities are taken into consideration, which allow calculating the breakthrough time and the leakage rate of CO2 to the overburden accurately. We use numerical simulations to verify the proposed time-dependent semi-analytical solution. The results show good agreement in both pressure and leakage rates. Sensitivity analysis is then conducted to assess different CO2 leakage scenarios to the overburden. The developed semi-analytical solution provides a new simple and practical approach to assess the potential of CO2 leakage outside the storage site. This approach is an alternative to numerical methods when detailed simulations are not feasible. Furthermore, the proposed solution can also be used to verify numerical codes, which often exhibit numerical artifacts.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 975.1-975
Author(s):  
H. Azzouzi ◽  
O. Lamkhanat ◽  
I. Linda

Background:Rheumatoid Arthritis (RA) is one of the risk factors for the calculation of the 10 years fracture probability assessed by the FRAX tool.Objectives:The aim was to study the association of disease activity and the 10 year fracture risk probability by the FRAX tool in our RA patients and their impact on fracture prevalence.Methods:Cross-sectional study of the association FRAX and disease activity score (DAS 28 CRP) was designed. Patients with RA were included. Mean DAS was calculated for each patient adjusted on his follow-up duration. Data about patients (demographic, disease characteristics and fracture assessment) were collected. The 10 year fracture risk probability for major osteoporotic fracture was calculated with and without BMD (bone mineral density) using the FRAX tool for Morocco. Descriptive analysis and regressions were performed with SPSS.20. p<0.05 was considered significant.Results:One hundred and ninety nine RA patients were included with mean age of 55.5±12 years. Women represented 91% and 40.1% had osteoporosis. Remission was observed in 86.4% with 95.5% taking methotrexate. 17.1% had vertebral fractures. FRAX and DAS were associated (p=0.03), and both explained vertebral fracture (VF) prevalence. When adjusted on disease parameters, FRAX with and without BMD explained the vertebral prevalence (p=0.02, OR=1.09[1.01-1.19]). However, age remains the only predictor of VF when adjusted on osteoporosis factors (DAS28CRP, menopause, BMI, smoking, diabetes, gender, steroid use, HAQ) and FRAX BMD.Conclusion:Persistent disease activity was associated to high 10 year fracture risk probability calculated by the FRAX tool in RA.Disclosure of Interests:None declared


2019 ◽  
Vol 147 ◽  
pp. 111236
Author(s):  
Qingzhu Liang ◽  
Yun Guo ◽  
Changhong Peng ◽  
Dianle Wang ◽  
Jianchao Lu

2018 ◽  
Vol 429 ◽  
pp. 26-36 ◽  
Author(s):  
Zhiguo Zeng ◽  
Rui Kang ◽  
Meilin Wen ◽  
Enrico Zio
Keyword(s):  

2019 ◽  
Vol 84 ◽  
pp. 164-179 ◽  
Author(s):  
Tom J.W. Postma ◽  
Karl W. Bandilla ◽  
Michael A. Celia
Keyword(s):  

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