Recovery Rate Sensitivity Analysis for Fractured Carbonate Rocks

2018 ◽  
Author(s):  
N. Andrianov ◽  
H. M. Nick
Keyword(s):  
Sensitivity Analysis ◽  
Recovery Rate ◽  
Carbonate Rocks ◽  
Rate Sensitivity ◽  
Fractured Carbonate

Examples of Fractured Carbonate Reservoir Rocks of Russia and Relationship Between Porosity and Permeability in Carbonate Rocks

2008 ◽  
Author(s):  
George V. Chilingar ◽  
Muhammad Raeef Haroun ◽  
Kseniya I. Bagrintseva
Keyword(s):  
Carbonate Rocks ◽  
Carbonate Reservoir ◽  
Reservoir Rocks ◽  
Fractured Carbonate ◽  
Porosity And Permeability

Experimental study on influencing factors of fracture propagation in fractured carbonate rocks

2020 ◽  
Vol 131 ◽  
pp. 103955
Author(s):  
Yintong Guo ◽  
Longfei Hou ◽  
Yiming Yao ◽  
Luo Zuo ◽  
Zhiying Wu ◽  
...  
Keyword(s):  
Experimental Study ◽  
Influencing Factors ◽  
Carbonate Rocks ◽  
Fracture Propagation ◽  
Fractured Carbonate

Results of Pilot Work on Extraction of Natural Bitumens From Oil-Wet Fractured Carbonate Rocks: Boca De Jaruco Field Case

2017 ◽  
Author(s):  
E. N. Yudin ◽  
O. V. Petrashov ◽  
A. V. Osipov
Keyword(s):  
Carbonate Rocks ◽  
Field Case ◽  
Fractured Carbonate ◽  
Pilot Work

Modeling and simulation of wormhole formation during acidization of fractured carbonate rocks

2017 ◽  
Vol 154 ◽  
pp. 284-301 ◽  
Author(s):  
Piyang Liu ◽  
Jun Yao ◽  
Gary Douglas Couples ◽  
Jingsheng Ma ◽  
Zhaoqin Huang ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Carbonate Rocks ◽  
Fractured Carbonate

scholarly journals Systematic reduction of complex tropospheric chemical mechanisms using sensitivity and time-scale analyses

2004 ◽  
Vol 4 (4) ◽  
pp. 3721-3783 ◽  
Author(s):  
L. E. Whitehouse ◽  
A. S. Tomlin ◽  
M. J. Pilling
Keyword(s):  
Sensitivity Analysis ◽  
Time Scales ◽  
Rate Sensitivity ◽  
Chemical Mechanism ◽  
Computational Time ◽  
Local Perturbation ◽  
Important Species ◽  
Reduced Mechanism ◽  
Wide Range ◽  
Computationally Expensive

Abstract. Explicit mechanisms describing the complex degradation pathways of atmospheric volatile organic compounds (VOCs) are important, since they allow the study of the contribution of individual VOCS to secondary pollutant formation. They are computationally expensive to solve however, since they contain large numbers of species and a wide range of time-scales causing stiffness in the resulting equation systems. This paper and the following companion paper describe the application of systematic and automated methods for reducing such complex mechanisms, whilst maintaining the accuracy of the model with respect to important species and features. The methods are demonstrated via application to version 2 of the Leeds Master Chemical Mechanism. The methods of local concentration sensitivity analysis and overall rate sensitivity analysis proved to be efficient and capable of removing the majority of redundant reactions and species in the scheme across a wide range of conditions relevant to the polluted troposphere. The application of principal component analysis of the rate sensitivity matrix was computationally expensive due to its use of the decomposition of very large matrices, and did not produce significant reduction over and above the other sensitivity methods. The use of the quasi-steady state approximation (QSSA) proved to be an extremely successful method of removing the fast time-scales within the system, as demonstrated by a local perturbation analysis at each stage of reduction. QSSA species were automatically selected via the calculation of instantaneous QSSA errors based on user-selected tolerances. The application of the QSSA led to the removal of a large number of alkoxy radicals and excited Criegee bi-radicals via reaction lumping. The resulting reduced mechanism was shown to reproduce the concentration profiles of the important species selected from the full mechanism over a wide range of conditions, including those outside of which the reduced mechanism was generated. As a result of a reduction in the number of species in the scheme of a factor of 2, and a reduction in stiffness, the computational time required for simulations was reduced by a factor of 4 when compared to the full scheme.

scholarly journals Stability and global sensitivity analysis of the transmission dynamics of malaria with relapse and ignorant infected humans

2022 ◽  
Author(s):  
Yves Tinda Mangongo ◽  
Joseph-Désiré Kyemba Bukweli ◽  
Justin Dupar Busili Kampempe ◽  
Rostin Matendo Mabela ◽  
Justin Manango Wazute Munganga
Keyword(s):  
Sensitivity Analysis ◽  
Recovery Rate ◽  
Global Sensitivity Analysis ◽  
Rank Correlation ◽  
Latin Hypercube Sampling ◽  
Transmission Dynamics ◽  
Asymptotically Stable ◽  
Globally Asymptotically Stable ◽  
Global Sensitivity ◽  
Partial Rank Correlation

Abstract In this paper we present a more realistic mathematical model for the transmission dynamics of malaria by extending the classical SEIRS scheme and the model of Hai-Feng Huo and Guang-Ming Qiu [21] by adding the ignorant infected humans compartment. We analyze the global asymptotically stabilities of the model by the use of the basic reproduction number R_0 and we prove that when R_0≦1, the disease-free equilibrium is globally asymptotically stable. That is malaria dies out in the population. When R_0>1, there exists a co-existing unique endemic equilibrium which is globally asymptotically stable. The global sensitivity analysis have been done through the partial rank correlation coefficient using the samples generated by the use of latin hypercube sampling method and shows that the most influence parameters in the spread of malaria are the proportion θ of infectious humans who recover and the recovery rate γ of infectious humans. In order to eradicate malaria, we have to decrease the number of ignorant infected humans by testing peoples and treat them. Numerical simulations show that malaria can be also controlled or eradicated by increasing the recovery rate γ of infectious humans, decreasing the number of ignorant infected humans and decreasing the average number n of mosquito bites.

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