Analytical Representation of the van Everdingen-Hurst Aquifer Influence Functions for Reservoir Simulation

1985 ◽  
Vol 25 (03) ◽  
pp. 405-406 ◽  
Author(s):  
J.R. Fanchi
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Reservoir Simulation ◽  
Linear Regression Analysis ◽  
Computer Work ◽  
Influence Functions ◽  
Regression Equations ◽  
Dimensionless Time ◽  
Influx Rate ◽  
Reservoir Simulator

Abstract Linear regression analysis has been used to develop some simple analytical expressions for the van Everdingen-Hurst aquifer influx influence functions. Regression results are presented for a variety of aquifer radius/reservoir radius ratios. The regression equations are designed for use in reservoir engineering applications, especially reservoir simulation. Introduction A reservoir-aquifer system can be modeled by using a reservoir simulator in which small gridblocks define the reservoir and increasingly larger gridblocks define the aquifer. This approach has the disadvantage of increased computer storage and computing time requirements because additional gridblocks are needed to model the aquifer. A widely used and more cost-effective means of representing an aquifer is to compute aquifer influx with an analytical model. Among the more popular analytical aquifer models in use today is the Carter-Tracy modification of the van Everdingen-Hurst unsteadystate aquifer influx calculation. The Carter-Tracy aquifer influx rate calculation requires information about dimensionless pressure p and its first derivative P as functions of dimensionless time t . Usually, the relationship between t and p is available in the reservoir simulator in tabular form for the infinite acting constant terminal rate case only. The program determines p and p for a given t by using a numerical program determines p and p for a given t by using a numerical interpolation scheme. An alternative approach that requires less computer work while providing equivalent or greater accuracy than the table look-up method is presented here. Description of Method A linear regression analysis has been used to develop analytical representations of the Carter-Tracy influence functions. The regression equations, the regression coefficients, correlation range limits, and measures of the linear regression validity are presented in Table 1 for a number of commonly encountered r/r cases. Plots of these expressions are shown in Figs. 1a and 1b. JPT P. 405

scholarly journals Cephalometric Floating Norms as a Guide toward a Harmonious Individual Craniofacial Pattern among Filipinos

2009 ◽  
Vol 79 (6) ◽  
pp. 1162-1168 ◽  
Author(s):  
Marian Almyra Sevilla-Naranjilla ◽  
Ingrid Rudzki-Janson
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Standard Error ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
Correlated Variables ◽  
The Individual

Abstract Objective: To construct a harmony box based on correlated cephalometric variables, which may serve as a valuable diagnostic tool in orthodontic treatment planning, by analyzing the harmonious relationships of existing individual craniofacial patterns among Filipinos. Materials and Methods: Eighty-one subjects, 37 females and 44 males, were selected from the student population of a University according to established inclusion criteria. Five cephalometric angular measurements were obtained and digitized. Pearson correlation coefficients described the high association among the five variables. The bivariate linear regression analysis was used to construct a harmony box, which contained the cephalometric floating norms of the five correlated variables. Multiple regression analysis and the standard error of the estimate were calculated to construct the harmony schema, which describes the individual craniofacial pattern. Results: Correlations between the five variables were significant at .001 and .05 levels. Linear regression equations with corresponding r2 and standard error of the estimate (SE) were illustrated as the harmony box. The multiple correlation coefficient R, the adjusted R2, and the SE when one of the five measured variables was predicted from the remaining four by means of a multiple regression analysis were displayed as the harmony schema. Conclusion: The cephalometric floating norms describing the individual craniofacial pattern among Filipinos were established based on five correlated variables in the form of a harmony box.

Proton NMR Analysis of Octane Number for Motor Gasoline: Part IV

1992 ◽  
Vol 46 (8) ◽  
pp. 1294-1300 ◽  
Author(s):  
M. Ichikawa ◽  
N. Nonaka ◽  
H. Amano ◽  
I. Takada ◽  
S. Ishimori ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Aromatic Compounds ◽  
Octane Number ◽  
Proton Magnetic Resonance ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
Nmr Analysis ◽  
Motor Gasoline ◽  
The Relationship

Software (a program) for predicting the octane number of motor gasoline by proton magnetic resonance (PMR) spectrometry has been formulated. At the same time, a method has been studied to predict the composition of gasoline (in terms of the contents of paraffin, olefin, and aromatic compounds). The formulated program was evaluated by using it to predict the octane numbers of 31 samples of marketed summer gasoline (including 16 regular and 15 premium products), whose octane numbers and compositions were identified according to the ASTM standards. Also, the relationship between the PMR spectrum and gasoline composition was subjected to linear regression analysis by using the 31 samples whose octane numbers were calculated, and the appropriateness of the resultant regression equations was assessed. This report concerns the results of the study in which the octane numbers of the 31 samples were satisfactorily predicted by the formulated program and useful linear regression equations were obtained for the prediction of the composition of gasoline.

PENGARUH PENGEMBANGAN DAN MOTIVASI TERHADAP PRESTASI KERJA PEGAWAI DI PT. BEKASI SURYA PRATAMA

2020 ◽  
Vol 2 (2) ◽  
pp. 251-275
Author(s):  
Hendra Lesmana
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Job Performance ◽  
Significant Influence ◽  
Work Performance ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
F Test ◽  
Performance Variable ◽  
The Third

  This study aims to determine and analyze (1) the influence of development on employee job performance (2) the influence of  motivation on employee job performance (3) the influence of development and  motivation together towards achievement of employees in PT. Bekasi Surya Pratama. The experiment was conducted at PT. Bekasi Surya Pratama with 49 respondents and the research conducted from July to November 2010. The analysis is carried out linear regression analysis, analysis of determination, t test and F test. The hypotheses were (1) the influence of development (X1) will be increased employees  job performance (Y) (2) the influence of motivation (X2) will be increased employees job performance (Y) (3) the influence of development (X1) and motivation (X2) are jointly working towards increased employees job performance (Y)  in PT. Bekasi Surya Pratama. Based on the testing of the first hypothesis might be any positive and significant influence between development (X1 variable) with Job Performance (variable Y) of employees in the PT. Bekasi Surya Pratama based tcount of 2.142, was larger than ttable  (ttable = 2.01). Thus the Ha accepted and H0 is rejected. Based on the testing of the second hypothesis might be any positive and significant influence between motivation (variable X2) with Job Performance (variable Y) of employees in PT. Bekasi Surya Pratama based tcount of 3.706, was larger than ttable  (ttable = 2.01). Thus the Ha accepted and H0 is rejected. Based on the testing of the third hypothesis might be any positive and significant influence between development (variable X1) and  Motivation (X2) with Job Performance (variable Y) of employees in the PT. Bekasi Surya Pratama based on the value of F test Based on calculations, the value of  Fcount  = 201.311. Fcount greater than Ftable (Ftable = 3.20). Thus the Ha accepted and H0 is rejected. The result of linear regression equations to show the effect of development (X1) and motivation (X2) on work performance (Y) employees in the PT. Bekasi Surya Pratama obtained Y = 2.491 +0.358 X1 +0.645 X2.

scholarly journals Is cranial multi-detector computed tomography imaging valuable for stature estimation in Egyptian population?

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Rana Adel ◽  
Hala Mohamed Ahmed ◽  
Osama A. Hassan ◽  
Ehab A. Abdelgawad
Keyword(s):  
Computed Tomography ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
Simple Linear Regression ◽  
Stature Estimation ◽  
Egyptian Population ◽  
Orbital Height ◽  
Multi Detector Computed Tomography

Abstract Background and objectives Stature estimation is an initial and essential component of any medico-legal investigations. However, it becomes more challenging when only skull remains are available. So, the goal of this study is to assess stature estimation using cranial multi-detector computed tomography (MDCT) images in a sample of the Egyptian population. Methods This clinical study was conducted on 150 Egyptian subjects underwent cranium MDCT with age ranged from 21 to 60 years. The measurements used were maximum cranial breadth, minimum frontal breadth, upper facial breadth, bizygomatic breadth, orbital height, orbital breadth, parietal chord, bimastoidale, maximum cranial length, basion-bregma height, cranial base length, and basion-prosthion length. Results The results revealed that stature and craniofacial measurements of males were significantly higher than those of females, all measurements were significantly positively correlated with stature in pooled cases, but the correlation coefficient differs in separate sex. Simple linear regression for stature estimation showed that the least standard error of estimate (SEE) values for the regression equations obtained when using bizygomatic breadth in pooled cases (7.9 cm) and in males only (5.7 cm), while in females using parietal chord had the least SEE (6.8 cm). Using multiple and stepwise regression analysis reported lower SEE values than simple linear regression analysis. Conclusion On the basis of this study, it is concluded that the cranial measurements obtained from MDCT images have limited utility in stature estimation among Egyptians, but could be used as an alternative method in cases where the best predictors, such as long bones, are not available.

scholarly journals Analysis of Window Components Affecting U-Value Using Thermal Transmittance Test Results and Multiple Linear Regression Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Sang-Tae No ◽  
Jun-Sik Seo
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Thermal Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Design Stage ◽  
Regression Equations ◽  
Test Results ◽  
Window System

Currently, global warming is accelerating, and many countries are trying to reduce greenhouse emission by enforcing low energy building. And the thermal performance of the windows is one of the factors that greatly influence the heating and cooling energy consumption of buildings. According to the development of the window system, the thermal performance of the windows is greatly improved. There are simulations and tests for window thermal performance evaluation techniques, but both are time consuming and costly. The purpose of this study is to develop a convenient method of predicting U-value at the window system design stage by multiple linear regression analysis. 532 U-value test results were collected, and window system components were set as independent values. As a result, the number of windows (single or double) among the components of the window has the greatest effect on the U-value. In this research, two regression equations for predicting U-value of window system were suggested, and the estimated standard errors of equations were 0.2569 in single window and 0.2039 in double window.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

Struktur Organisasi, Desain Kerja, Budaya Organisasi Dan Pengaruhnya Terhadap Produktivitas Karyawan Studi Kasus Pada PT. XX Di Jakarta

Liquidity ◽  
2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Yanti Budiasih
Keyword(s):  
Organizational Culture ◽  
Regression Analysis ◽  
Linear Regression ◽  
Organizational Structure ◽  
Research Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Job Design ◽  
Employee Productivity ◽  
Dominant Influence

The objectives of this study are to analyze changes in organizational structure, job design, organizational culture and its influence on employee productivity at PT. XX in Jakarta and to identify variables that have a dominant influence on the productivity of employees. The research method used is using multiple linear regression analysis. The results show that the all variables simultaneously and partially change the organizational structure, job design, and organizational culture has a significant impact on employee productivity at PT. XXin Jakarta.

The Contribution of Sexual Identity Towards the Students’ Perception of Lesbian, Gay, Bisexual, and Transgender

10.32698/0642 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 120
Author(s):  
Wiwi Delfita ◽  
Neviyarni S. ◽  
Riska Ahmad
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Sexual Identity ◽  
Student Perceptions ◽  
Undergraduate Students ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
Simple Linear Regression Analysis ◽  
Bisexual And Transgender

Some students perceive lesbian, gay, bisexual, and transgender (LGBT) positively, even though LGBT is a sexual deviation that is not appropriate with values and norms. There are several factors that influence an individual's perception of LGBT, including sexual identity. This study aims at looking at the contribution of sexual identity to student perceptions about LGBT. This research used a quantitative approach with a descriptive method and a simple linear regression analysis. The sample of this research was 385 taken from 15.752 undergraduate students of Universitas Negeri Padang which the sample was drawn by using the Slovin formula and continued with a Proportional Random Sampling technique. The instrument used was the Guttman model's sexual identity scale and the scale of students' perceptions of the LGBT Likert model. After analyzing the data with the descriptive technique and the simple linear regression analysis, the results showed that sexual identity significantly contributed to the students' perceptions of LGBT. This research has implications as a basis for counselors to help students avoid sexual identity mismatches and prevent the emergence of positive perceptions of LGBT.

Pengaruh Kepemimpinan dan Disiplin Kerja Terhadap Kinerja Karyawan: Studi Kasus PT Sucofindo Palembang Indonesia

MBIA ◽  
2019 ◽  
Vol 18 (1) ◽  
pp. 76-84
Author(s):  
Muhammad Idris ◽  
Dian Novita Sari
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Random Sampling ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Primary Data ◽  
Collection Method ◽  
Analysis Techniques ◽  
Analysis Technique

The problem in this study is whether there is an influence of leadership and work discipline on the employees’ performance of PT.Sucofindo Palembang City. This research includes associative research. The sample in this study were 88 respondents, with propotionate random sampling analysis technique. The data used were primary data and secondary data. Data collection method through questionnare. Analysis techniques using multiple linear regression analysis, F test (Simultaneoys) and t test (partial) and determination coeffiecient. The results show that there is influence of leadership and work discipline on the performance of PT.Sucofindo Palembang City.

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