scholarly journals An Assessment on Reliability of Quantitative Calculation Method for Obtaining Volume Fractions of Texture Components With the Reduced ODF

1988 ◽  
Vol 10 (1) ◽  
pp. 59-65 ◽  
Author(s):  
L. Zuo ◽  
X. Zhao ◽  
J. Xu ◽  
Z. Liang
Keyword(s):  
Quantitative Analysis ◽  
Calculation Method ◽  
Peak Height ◽  
Volume Fractions ◽  
Quantitative Calculation ◽  
Cubic Materials

The reliability and the accuracy of a quantitative calculation method for obtaining volume fractions of texture components of cubic materials were verified for the reduced ODFs terminated at l max = 22 and at l max = 16. It is concluded that an integrated width of r = ±10° around selected ideal orientations may be used in quantitative analysis of texture components. It is also shown that the conventional peak height method, which does not consider volume fractions, can only roughly give informations about texture components.

Low Permeability Reservoir Quantitative Analysis of Diagenesis Evolution - Taking Xishanyao Reservoir in Niuquanhu Area as an Example

2015 ◽  
Vol 1092-1093 ◽  
pp. 1410-1415
Author(s):  
Yuan Kang ◽  
Wei Sun ◽  
Ting Shang ◽  
Jian Chao Shi ◽  
Jun Sheng
Keyword(s):  
Quantitative Analysis ◽  
Physical Property ◽  
Low Permeability ◽  
Reservoir Properties ◽  
Thin Sections ◽  
Low Permeability Reservoir ◽  
Quantitative Calculation ◽  
Pore Evolution ◽  
Calculation Results ◽  
The Impact

The Xishanyao reservoir in Niuquanhu area is a typical low permeability reservoir Diagenesis is very important for the physical property of reservoir. Through analyzed data of cast thin sections and scanning electron microscopy (SEM) data, analyzed the impact of main diagenesis on reservoir properties in Niuquanhu area. First, quantitative analyzed the various types of diagenesis on reservoir porosity contribution rate. Second, through restoring the original porosity, quantitative analyzed the pore evolution of reservoir caused by various types of diagenesis. Realized the quantitative analysis of porosity of each diagenesis stage. The quantitative calculation results agree well with the experimental analysis results, the error is 1.09%~1.51%, which showed the rationality of research method and the research results have certain reliability. The study of diagenesis has important significance for fine evaluation and favorable area prediction of Niuquanhu area reservoir.

scholarly journals ANALISIS PENERAPAN BUNGA PINJAMAN DENGAN METODE SLIDING RATE DANFLAT RATE PADA KOPERASI KREDIT GENTIARAS PRINGSEWU

2020 ◽  
Vol 12 (1) ◽  
pp. 60-67
Author(s):  
Felix Alfa Yudhistira ◽  
Yohanes Suharsana
Keyword(s):  
Quantitative Analysis ◽  
Interest Rate ◽  
Calculation Method ◽  
Case Study Research ◽  
Flat Rate ◽  
Sliding Method ◽  
Descriptive Approach ◽  
Rate Method ◽  
The Difference

Kopdit Gentiaras Pringsewu doing giving flowers with Sliding rate method. Sliding rate method is a method of charging interest each month is calculated from the remainder of the loan so the interest paid members monthly decreases with decreasing principal. In order to compete with other cooperatives in other cooperative Pringsewu in Pringsewu, Kopdit GENTIARAS set loan interest rate by a sliding method. However, these methods do not necessarily provide benefits to its members. This research uses case study research with descriptive approach. Analysis of the data used is quantitative analysis. Results from this study is the difference in interest grouping. Calculation method of sliding rate is 1.75% x the remainder of the principal while the flat rate is 1.75% x the loan early.The results of this study provide the conclusion that the method of sliding rate is more beneficial to the members who make loans in Kopdit Gentiaras Pringsewu. Because by using this method the loan interest will always decreases with decreasing remainder of the loan.

scholarly journals Quantitative Analysis of Relationship Structure and Anionic Surfactant Micelle Concentration Critic With Semiempiris AM1

Molekul ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. 53
Author(s):  
Eva Vaulina Yulistia Delsy ◽  
Ponco Iswanto ◽  
Sandi Winaryo
Keyword(s):  
Quantitative Analysis ◽  
Linear Regression ◽  
Anionic Surfactant ◽  
Calculation Method ◽  
Three Dimensional ◽  
Log P ◽  
Model Structure ◽  
Mathematical Equation ◽  
Surfactant Micelle ◽  
Relationship Structure

This research determines the mathematical equation which calculate the Concentration Micelle Critic theoretical anionic surfactant. The research was conducted the depiction of each surfactant anionic three-dimensional compound models, followed by optimizing the model structure anionic surfactant by using AM1 calculation method. Furthermore the calculation of descriptors (QSPR method), then it was analyzed statistically using Multiple Linear Regression (MLR). The results of statistical calculations showed that to calculate the theoretical CMC anionic surfactant can use the QSPR equation: log CMC = 4.157+0.118qC1+7.698qC2+0.425α–0.010µ-0.129RD–0.138 log P+0.021BM–0.034Avdw, n = 100 ; r = 0.927 ; r2 = 0.860 ; SE = 0.352 ; F= 30.888 ; PRESS = 23.506

scholarly journals Rapid Identification and Quantitative Analysis of Polycarboxylate Superplasticizers Using ATR-FTIR Spectroscopy Combined with Chemometric Methods

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhiwei Li ◽  
Bo Li ◽  
Zhizhong Zhao ◽  
Weizhong Ma ◽  
Wenju Li ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Quantitative Analysis ◽  
Calculation Method ◽  
Principal Component ◽  
Rapid Identification ◽  
Quality Inspection ◽  
Inspection Method ◽  
Feature Extraction Method ◽  
Similarity Calculation ◽  
And Cluster Analysis

Although the quality inspection method of polycarboxylate superplasticizers (PCE) based on macroperformance is still widely used, it has the drawbacks of time-consuming and low precision. This study aims to develop a practicable alternative method for quality inspection of PCE. For this, spectra collection, feature extraction, and cluster analysis were performed up on the PCE samples to demonstrate the feasibility of the method. Also, a new similarity calculation method was introduced in this work. Results show that the solid PCE sample for spectrum collection can be prepared using the simple heating method. High-quality spectra can be rapidly collected by infrared spectrometer combined with ATR accessory. Meanwhile, the accuracy of classification and clustering is high, suggesting that the feature extraction method based on principal component analysis (PCA) is effective. In addition, compared with conventional similarity calculation methods of cosine angle and correlation coefficient, the new similarity calculation method achieves better classification results and better generalization ability. This work provides a method of quantitative analysis and rapid identification of PCE for the construction site.

scholarly journals Quantitative calculation method to compare the reactive sites of different methyl esters

Fuel ◽  
2022 ◽  
Vol 307 ◽  
pp. 121228
Author(s):  
Zi-hao Ni ◽  
Fa-she Li ◽  
Hua Wang ◽  
Quan Xiao ◽  
Yong-hui Wu ◽  
...  
Keyword(s):  
Calculation Method ◽  
Methyl Esters ◽  
Quantitative Calculation
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