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Comparative Study of response surface Designs with Errors-in-Variables Model

Transactions of Tianjin University 2011年第2期17卷 146-150页

作者：何桢方俊涛 School of Management Tianjin University

This paper investigates the scaled prediction variances in the errors-in-variables model and compares the performance with those in classic model of response surface designs for three *** ordinary least squares estimators of regression coefficients are derived from a second-order response surface model with errors in *** performance criteria are *** first is the difference between the empirical mean of maximum value of scaled prediction variance with errors and the maximum value of scaled prediction variance without *** second is the mean squared deviation from the mean of simulated maximum scaled prediction variance with *** last performance measure is the mean squared scaled prediction variance change with and without *** the simulations,1 000 random samples were performed following three factors with 20 experimental runs for central composite designs and 15 for Box-Behnken *** independent variables are coded variables in these *** results show that for the low level errors in variables,central composite face-centered design is optimal;otherwise,Box-Behnken design has a relatively better performance.

关键词： response surface modeling errors in variables scaled prediction variance

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Statistical modeling Studies of Iron Recovery from Red Mud Using Thermal Plasma

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Plasma Science and Technology 2013年第5期15卷 459-464页

作者： Swagat S. RATH Archana PANY K. JAYASANKAR Ajit K. MITRA C. SATISH KUMAR Partha S. MUKHERJEE Barada K. MISHRA Institute of Minerals and Materials Technology (CSIR) Vedanta Alumina Limited Lanjigarh

Optimization studies of plasma smelting of red mud were carried out. Reduction of the dried red mud fines was done in an extended arc plasma reactor to recover the pig iron. Lime grit and low ash metallurgical （LAM） coke were used as the flux and reductant, respectively. 2level factorial design was used to study the influence of all parameters on the responses. response surface modeling was done with the data obtained from statistically designed experiments. Metal recovery at optimum parameters was found to be 79.52%.

关键词： plasma response surface modeling red mud design of experiments optimiza-tion

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A numerical simulation study of CO2 injection for enhancing hydrocarbon recovery and sequestration in liquid-rich shales

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Petroleum Science 2018年第1期15卷 103-115页

作者： Sumeer Kalra Wei Tian Xingru Wu Warwick Energy Group 900 W Wilshire BlvdOklahoma City OK 73116 USA University of Oklahoma 100 E Boyd St. Sec 1210 NormanOK 73019-1003 USA

Less than 10% of oil is usually recovered from liquid-rich shales and this leaves much room for improvement, while water injection into shale formation is virtually impossible because of the extremely low permeability of the formation matrix. Injecting carbon dioxide（CO2） into oil shale formations can potentially improve oil recovery. Furthermore, the large surface area in organicrich shale could permanently store CO2 without jeopardizing the formation integrity. This work is a mechanism study of evaluating the effectiveness of CO2-enhanced oil shale recovery and shale formation CO2 sequestration capacity using numerical simulation. Petrophysical and fluid properties similar to the Bakken Formation are used to set up the base model for simulation. Result shows that the CO_2 injection could increase the oil recovery factor from7.4% to 53%. In addition, petrophysical characteristics such as in situ stress changes and presence of a natural fracture network in the shale formation are proven to have impacts on subsurface CO2 flow. A response surface modeling approach was applied to investigate the interaction between parameters and generate a proxy model for optimizing oil recovery and CO2 injectivity.

关键词： CO2 EOR Tight formations Experimentaldesign response surface modeling Recovery of shaleliquid CO2 sequestration

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