Determination of optimum parameters of doublet system in a horizontally fractured geothermal reservoir

2014 ◽  
Vol 65 ◽  
pp. 152-160 ◽  
Author(s):  
Thushan Chandrasiri Ekneligoda ◽  
Ki-Bok Min
Author(s):  
A. Koto

The objective of this paper is to determine the optimum anaerobic-thermophilic bacterium injection (Microbial Enhanced Oil Recovery) parameters using commercial simulator from core flooding experiments. From the previous experiment in the laboratory, Petrotoga sp AR80 microbe and yeast extract has been injected into core sample. The result show that the experiment with the treated microbe flooding has produced more oil than the experiment that treated by brine flooding. Moreover, this microbe classified into anaerobic thermophilic bacterium due to its ability to live in 80 degC and without oxygen. So, to find the optimum parameter that affect this microbe, the simulation experiment has been conducted. The simulator that is used is CMG – STAR 2015.10. There are five scenarios that have been made to forecast the performance of microbial flooding. Each of this scenario focus on the injection rate and shut in periods. In terms of the result, the best scenario on this research can yield an oil recovery up to 55.7%.


2021 ◽  
Vol 68 (3-4) ◽  
pp. 22-28
Author(s):  
Bettina Ronai ◽  
Rainer Franz ◽  
Marcella Frauscher

Water and solid particulate contamination are the two most common contaminants of lubricated systems and may be highly problematic for these systems. To reduce downtime and prevent failure, lubricant formulations contain detergent and dispersant additives that play an important role in terms of contamination tolerance. In lack of a practical procedure for the determination of the relevant properties, a novel method for the evaluation of the dispersing ability of lubricating oils is introduced. Following and combining established lubricant analysis methods, a procedure with optimum parameters was found. An assessment of the method using fresh and artificially altered lubricating oils allowed a differentiation concerning their dispersing ability.


Author(s):  
Gamze Dalgıç Bozyiğit ◽  
Merve Fırat Ayyıldız ◽  
Dotse Selali Chormey ◽  
Güleda Onkal Engin ◽  
Sezgin Bakırdere

Abstract Background Determination of emerging pollutants including pharmaceuticals, pesticides, industrial chemicals and hormones in different environmental samples is very important for human health. Objective Experimental design enabled parameters to be evaluated for their effects onextraction output as well as their interactive effects. Method A multivariate experimental design was used to attain optimum conditions of a dispersive liquid-liquid microextraction method for preconcentration of pesticides and pharmaceuticals for determination by GC-MS. Results The optimum parameters suggested by the design model were 200 µL of chloroform, 1.96 mL of ethanol, and 40 s vortexing period. LOD and LOQ were calculated using linear calibration plots of the analytes developed in the standard concentration range of 2.0 μg/L–2.0 mg/L. Conclusions Enhancement in detection power of the analytes recorded by the optimized method with respect to direct GC-MS determination (based on LOD values) was in the range of 3.6 and 539 folds. Spiked recovery experiments for municipal, medical, and synthetic wastewater samples yielded low recovery results when calculated against aqueous standard solutions. Matrix matched calibration standards were used to mitigate interferences from the waste samples and the percent recoveries obtained were close to 100%. This established accuracy and applicability of the developed method. Highlights The detection limits were found between 0.50 ng/mL and 37 ng/mL. An accurate, simple and sensitive analytical method was developed for the analytes.


2000 ◽  
Vol 12 (6) ◽  
pp. 725-730
Author(s):  
Hisaya Tanaka ◽  
◽  
Ayako Shinokubo ◽  
Hideto Ide

We examined optimum parameters of the charging model and the underdamping model. Those models have represented the evoked potential of MRCP Each parameter has been determined with GAs (Genetic Algorithms). Comparison has been made between the experimental waveform and the theoretical waveform structuring those models, based on the optimum parameter. We have also examined the mechanism of MRCP (Movement-related brain cortical potential).


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