Analytical Prediction Model of Sand Production Integrating Geomechanics for Open Hole and Cased – Perforated Wells

2014 ◽  
Author(s):  
Edson Felipe Araujo Guerrero ◽  
Guillermo A Alzate ◽  
Alejandra Arbelaez-Londono ◽  
Santiago Pena ◽  
Alejandro Cardona ◽  
...  
Keyword(s):  
Prediction Model ◽  
Analytical Prediction ◽  
Sand Production ◽  
Open Hole

scholarly journals An Analytical Prediction Model of Time Diversity Performance for Earth-Space Fade Mitigation

2008 ◽  
Vol 2008 ◽  
pp. 1-5 ◽  
Author(s):  
Pantelis-Daniel M. Arapoglou ◽  
Athanasios D. Panagopoulos ◽  
Panayotis G. Cottis
Keyword(s):  
Prediction Model ◽  
High Frequency ◽  
Rain Attenuation ◽  
Analytical Prediction ◽  
Time Dynamics ◽  
Time Diversity ◽  
Satellite Applications ◽  
Basic Parameters ◽  
Cost Efficient ◽  
General Prediction

Time diversity (TD) has recently attracted attention as a promising and cost-efficient solution for high-frequency broadcast satellite applications. The present work proposes a general prediction model for the application of TD by approximating the time dynamics of rain attenuation through the use of the joint lognormal distribution. The proposed method is tested against experimental data and its performance is investigated with respect to the basic parameters of a satellite link.

Analytical Prediction and Experimental Investigation of Burnishing Force in Rotary Ultrasonic Roller Burnishing Titanium Alloy Ti–6Al–4V

2020 ◽  
Vol 142 (3) ◽  
Author(s):  
Jian Zhao ◽  
Zhanqiang Liu ◽  
Bing Wang ◽  
Yukui Cai ◽  
Qinghua Song
Keyword(s):  
Titanium Alloy ◽  
Prediction Model ◽  
Milling Process ◽  
Analytical Prediction ◽  
Ultrasonic Power ◽  
Machined Surface ◽  
Softening Effect ◽  
Force Prediction ◽  
Contact Width ◽  
Acoustic Softening

Abstract Ultrasonic burnishing is usually applied to make machined surface modification. The acoustic softening effect caused by ultrasonic vibration is beneficial to the machining of difficult-to-cut materials. In the present work, a burnishing force prediction model was proposed for rotary ultrasonic burnishing of titanium alloy Ti–6Al–4V, whose surface had been machined with the face milling process. Firstly, the contact between the burnishing roller and one single milling mark was analyzed with plane strain assumption based on the Boussinesq–Flamant contact problem. Then, the effect of ultrasonic softening on the yield stress of Ti–6Al–4V was investigated. The critical contact width and contact load that the burnishing roller crushed on one single milling mark were examined to confirm the feasibility of the proposed ultrasonic burnishing force prediction model. The experimental verifications were carried out at various ultrasonic powers. The burnishing forces from experiment measurements were consistent with the calculated results from the proposed model. The mean deviations between theoretical and experimental results of the ultrasonic burnishing force were 10.4%, 12.2%, and 15.2%, corresponding to the ultrasonic power at the level of 41 W, 158 W, and 354 W, respectively.

scholarly journals Fundamental study on the thermodynamic non-equilibrium freezing probability prediction model taking into account the super cooling phenomena in porous material

2021 ◽  
Vol 2069 (1) ◽  
pp. 012055
Author(s):  
Y Kishimoto
Keyword(s):  
Prediction Model ◽  
Freezing Point ◽  
Probability Distributions ◽  
Frost Damage ◽  
Small Element ◽  
Analytical Prediction ◽  
Maximum Probability ◽  
Fundamental Study ◽  
Probability Prediction ◽  
Ice Content

Abstract It is commonly considered that frost damage is caused by sudden freezing of supercooled water, which is a random phenomenon. Therefore, the aims of this study are to establish a prediction model for the probability of freezing until any lowest reached temperature, and to obtain the probability distribution function of the freezing point for the proposed analytical prediction model. First, theoretical prediction model for the probability of the instantaneous increment of ice content when lowest achieving temperature was known was derived based on these assumptions that building structure is an aggregation of small elements. Next, the freezing point measurement was carried out by using saturated mortar samples as the small element. As the results, it could be found that the first freezing due to supercooling occurred from -4 to -11 deg. C and the maximum probability was appeared at -7.5 deg. C. The average increment of ice content at every temperature closed to the 40 % volume of pore water until the thermodynamically-based freezing point. Moreover, the proposed method that can calculate the probability distributions of the instantaneous increment of ice content for any lowest achieving temperature from pore size distribution had good agreements with the measurement results.

scholarly journals Analytical prediction model of UGS performance

2014 ◽  
Vol 31 (2) ◽  
pp. 325
Author(s):  
Jacek Blicharski ◽  
Czesław Rybicki ◽  
Grzegorz Stec
Keyword(s):  
Prediction Model ◽  
Analytical Prediction
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