The Impact of Rock Microstructure and Petrophysical Properties on the Velocity-Pressure Relationship of Carbonates

2021 ◽  
Author(s):  
Ammar El-Husseiny

Abstract This study investigates the impact of petrophysical rock properties on the velocity-pressure relationship in carbonates. It presents an approach to predict the changes in compressional velocity (Vp) as function of pressure in carbonates. The approach honors the complexity of carbonates by incorporating various petrophysical rock properties including bulk density, porosity, mineralogy and pore stiffness. The data used in this study consists of rock properties (density, porosity, mineralogy) and elastic velocity measured as function of confining pressure for 220 carbonate core plug samples from published literature. Pearson correlation coefficient was calculated to evaluate the significance of each property in predicting velocity-pressure relationship. A simple regression was formulated incorporating all significant input rock properties to predict Vp as function of pressure based on initial measured velocity at a given pressure. The predictions were compared with the measured Vp. The results show that the sensitivity of Vp to changes in pressure increases as the porosity and pore compressiblity increases. On the other hand, samples with higher bulk density and Vp / Vs ratio (at initial lowest pressure) show little Vp variations as function of increasing pressure. High Vp / Vs values are observed in samples that are well cemented and have less clay or silisiclastic fraction. Such characteristics reduce the compressibility of pores leading to non-variable velocity-pressure relationship. Incorporating the rock properties in regression analysis could successfully predict Vp as function of pressure with a correlation coefficient of 0.99 and average absolute error of less than 3%. Since all input parameters (rock properties) can be estimated from well logs, the presented approach can potentially be used to predict in-situ changes in Vp due to pressure changes. This can assist the interpretation of time lapse seismic, and in geomechanics-related applications.

Author(s):  
I. А. Rodello ◽  
V. Dândolo ◽  
M. M. Grande

Relevance of the study: Based on data collection and analysis, present research made it possible to identify how the activities devised by a group-buying website on Facebook may exert influence on the KPIs for success.Purpose: The main task of present research is to answer the following question: can a digital social network be considered an effective tool for the improvement of key performance indicators (KPI) of a group-buying website?Findings: The research was conducted by considering data collected via mechanical observation using the computational tools Facebook Dashboard and Google Analytics. Data were analyzed using the means of comparison and a Pearson correlation coefficient, which demonstrated positive results of the campaign. When compared, the key performance indicators of the web site relating to Facebook displayed a larger dynamics than the general performance indicators of this web site. By the correlation coefficient, it was found that a higher power range of the Facebook Enterprise´s fan page could result in the increased traffic page hits of the examined web site, and an increase, mainly, in the number of new visitors.Originality / value: This paper analyzes some key performance indicators of a promotional campaign on Facebook for an online group-buying website in the city of Ribeirão Preto, São Paulo State, Brazil.Practical implications: Based on the collected data and performed analysis, it was found that the promotional activities on Facebook can increase the flow of new visitors and attract potential buyers to a group-buying website.Future research: It is recommended to perform further research for other social networks and in other countries.


Author(s):  
Alexandre Barbieri Mestriner ◽  
Jakob Ackermann ◽  
Gergo Merkely ◽  
Takahiro Ogura ◽  
Juan Pablo Zicaro ◽  
...  

ObjectivesTo assess the impact of a biplanar ascending opening-wedge high tibial osteotomy (OWHTO) on the alignment of the knee extensor mechanism and patellar height using preoperative and postoperative MRI.MethodsMedical records of all patients submitted to ascending biplanar OWHTO between July 2008 and March 2017 were retrospectively assessed. Five parameters of the patellofemoral joint—tibial tubercle–trochlear groove distance (TT-TG), patellofemoral (PF) axial engagement index, lateral patellar tilt, Blackburne-Peel index (BPI) and Caton-Deschamps index (CDI)—were measured by two blinded independent observers on both preoperative and postoperative MRIs. Interobserver reliability was assessed with the intraclass correlation coefficient (ICC). Paired t-test was performed to compare preoperative and postoperative measurements. The association of the amount of HTO opening and the assessed PF joint parameters was also investigated with Pearson correlation coefficient.Results26 patients who underwent ascending biplanar OWHTO were enrolled in this imaging analysis (63.4%) with a mean follow-up of 16.3 months (SD, 16.9). ICC for all measurements ranged between 73.3% and 89.3%. Postoperatively, TT-TG distance significantly increased by 2.0 mm±2.3 mm (p<0.001). Patellar height significantly decreased when evaluated by the BPI (p<0.001) and CDI (p=0.001). The amount of osteotomy opening significantly correlates with the postoperative BPI (p=0.023) and CDI (p=0.013).ConclusionThis study comprehensively reports significant increase on TT-TG distance after an ascending biplanar OWHTO using MRI. Small but significant decreases in patellar height were also observed and are correlated to the amount of axis correction.Level of evidenceLevel IV, retrospective case study.


Author(s):  
Faisal Rahutomo ◽  
Dimas Rossiawan Hendra Putra ◽  
M Bisri Musthofa ◽  
Ngat Mari

<p class="Abstract"><em>Abstract</em>—This experiment aims to analyze the forecasting of the Indonesian Democracy Index (IDI) in 2019, which uses each province data by the Moving Average method. The parameters used in this experiment refer to data obtained from the Central Statistics Agency (BPS) in 2009-2018. The level of achievement of IDI is measured based on the development and implementation of 3 aspects, 11 variables, and 28 indicators. Experiment purposes to find the average percentage of absolute error MAPE (Mean Absolute Percentage Error) for each province and looks for correlations between the three main aspects of forming IDI namely civil liberties, political rights, and democratic institutions. IDI Indonesia's forecasting results in 2019 the IDI has an average value of 68.28 with a MAPE of 4.78%. The results of the correlation between the three aspects of forming the IDI using the Pearson correlation coefficient resulted in the aspect of civil liberties having no correlation with aspects of political rights or aspects of democratic institutions with Pearson values of -0.05 and -0.19. Whereas aspects of political rights correlate with democratic institutions with Pearson's value of 0.48.<em></em></p>Keywords—Forecasting, Indonesian Democracy Index, Moving Average. Pearson Correlation Coefficient


2014 ◽  
Vol 5 (1) ◽  
pp. 1 ◽  
Author(s):  
Baker Sulaiman Thuneibat

This study aims to identify the impact of electromagnetic waves at the full moon on some physiological changes among the students of the Faculty of Sport Sciences at Mu'tah University. The study sample consisted of  20 students from the Faculty of Sport Sciences at Mu'tah University. Many statistical methods have been used in order to answer the questions of the study (Means, standard deviations, T-Test Independent Samples, Pearson correlation coefficient. The results of (T-Test Independent Samples) for the significance of the pre and post difference showed that there are   statistically significant differences for the variables of (heart pulse, blood glucose, systolic pressure and diastolic pressure). The results of  Pearson correlation coefficient test for the pre and post measurement also showed  that there are statistically significant differences for the physiological variable of (blood glucose) with regard to the variable of age. The study recommended not to rely on the reading of  the  heart pulse during the days of the full moon as an indicator of the heart pulse, especially for females. The study also recommends to conduct similar studies in different places of hot and cold  climates or high and low altitudes .


Author(s):  
Balanagireddy G. ◽  
Ananthajothi K. ◽  
Ganesh Babu T. R. ◽  
Sudha V.

This chapter contributes to the study of uncertainty of signal dimensions within a microscopic image of blood sample. Appropriate colocalization indicator classifies the leukocytes in the region of interest having ragged boundaries. Signal transduction has been interpreted using correlation function determined fluorescence intensity in proposed work using just another colocalization plugin (JaCoP). Dependence between the channels in the colocalization region is being analysed in a linear fashion using Pearson correlation coefficient. Manders split, which gives intensity, is represented in a channel by co-localizing pixels. Overlap coefficients are also being analysed to analyse coefficient of each channel. Li's intensity correlation coefficient is being used in specific cases to interpret the impact of staining.


2011 ◽  
Vol 26 (S2) ◽  
pp. 523-523
Author(s):  
M. Ciałkowska-Kuźmińska ◽  
P. Piotrowski ◽  
A. Kiejna

IntroductionWorld studies show associations between social consequences of carers’ involvement and level of individuals’ met and unmet needs.ObjectivesIn Poland not much interest has been put to studies of psychiatric patients’ needs and carers’ burden. Due to this fact most of care programmes have been developed on the basis of authors’ personal experiences or academic knowledge.AimsTo obtain data regarding met and unmet patients’ needs and the impact on carers’ burden in Polish socioeconomic reality.Methods60 psychotic inpatients were examined with CSHI, BPRS and CANSAS. Their 60 direct carers’ personally completed IEQ, GHQ-12 and assessed own opinions about patients’ needs with CANSAS questionnaire. Patients unable to give informed consent, alcohol/drug dependent, mentally retarded/demented or with personality disorder were excluded along with patients below 18 and over 65 years of age.Statistics includedThe Pearson correlation coefficient, the Spearman’s rank correlation coefficient, Kendall’s tau coefficient.ResultsResults show significant relation between duration of the disorder and number of unmet needs assessed by individuals. Patients’ met needs are positively associated with carers IEQ results - subscales tension and worrying. Carers evaluation of patients’ unmet needs correlates with their IEQ results - subscales tension, worrying and urging. Overall number of patients’ needs indicated by carers correlates positively with carers’ results of IEQ subscale - urging.ConclusionsThe higher rate of patients’ unmet needs the higher burden they are imposed to. Results of the study are important in planning of interventions towards psychiatric patients and their direct carers.


2021 ◽  
Vol 34 (02) ◽  
pp. 790-806
Author(s):  
Massoud Ghaffari ◽  
Seyed Rasoul Aghadavood ◽  
Mohammad Reza Dalvi

In today's world, human capital is considered as the highest and most valuable asset of an organization, which affects the profits and losses of any company. The organizations that exist in these societies must be able to utilize human resources effectively. Job rotation is one of the management measures in the field of human resource management. It can create a creative, ideal, and secure organization that ensures commitment, knowledge transfer, skills acquisition, innovation, creativity, experience, job satisfaction, enthusiasm, exhaustion reduction, and human capital growth. The aim of this study is to investigate the effect of job rotation system on work motivation (studied in the region of two gas transfer operations). The present study is a correlation from the field and in terms of purpose and nature of application and in terms of descriptive-survey method and in terms of cross-sectional time. The statistical population of the study is 850 personnel (managers, experts and employees) of the region of two gas transmission operations. Using Cochran's formula, the sample size for limited communities is 285 people. The statistical population of the study consists of heterogeneous groups (formal and informal forces, managers and employees) using stratified random sampling method. In order to collect data, a researcher-made questionnaire with 20 items and a standard job motivation questionnaire with 17 items were used. The questionnaire is divided based on a five-point Likert scale. Reliability and validity were calculated and the value of 0.881 was obtained, which indicates the appropriate reliability of the questionnaires. To investigate the relationship and research hypotheses, Pearson correlation coefficient and regression, SPSS software and LISREL software were tested. The results show that the dimensions of job rotation such as human capital development and changes in human capital are related to work enthusiasm. Pearson correlation coefficient is 0.842 and 0.368, respectively, which indicates a good correlation. Also, the development and changes of human capital have a significant effect on job motivation and the standard beta value was 0.343 and 0.281, respectively, and all research hypotheses have been confirmed.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246931
Author(s):  
Luis Carus ◽  
Isabel Castillo

Speed is a main factor affecting the kinematic of snow-sports accidents and the degree of severity of the resulting injuries. The aim of this study was to measure on-slope actual maximum speeds of snowboarders and to assess their ability to accurately them with regard to individual factors such as gender, skill level, age and risk-taking behaviour and actual maximum speed. The data were obtained from a sample of 312 (67% male, 33% female) adult recreational snowboarders taking lessons in one of the major resorts in the Spanish Pyrenees. The Pearson correlation coefficient was used to investigate the relationship between maximal measured actual speed and estimated speed for all participants. Multiple linear regression analysis was used to estimate the impact of individual factors on both the snowboarders’ actual maximum speed and their error of estimation. The Pearson correlation coefficient between estimated and actual maximum speed was 0.52 (P < 0.001) for all participants. They underestimated their actual maximum speed on average by 10.05 km/h or 28.62%. All assessed factors were shown to significantly affect the snowboarders’ actual maximum speed. However, gender, skill level, age and actual maximum speed were shown to significantly affect the snowboarders’ error of estimation, while risk-taking behavior did not. Gender, skill level, age and risk-taking behaviour are associated with the actual maximum speed at which snowboarders ride, while the same individual factors, except for risk-taking behaviour, and their snowboarding speed seem to affect the ability to estimate actual maximum speeds in adult recreational snowboarders. The ability to estimate actual speed accurately is an important factor to avoid accidents on ski slopes and, therefore, having snowboarders informed about the benefits of speed self-awareness is a key matter for prevention purposes.


Avalanche forecasting is an important measure required for the safety of the people residing in hilly regions. Snow avalanches are caused due to the changes that occur in the snow and weather conditions. The prominent changes, that cause the variations which further culminate into an avalanche, can be given higher significance in the forecasting model by application of appropriate weights. These weights are decided based on the relation of each weather parameter to snow avalanche occurrence by the forecaster with the help of historical data. A method is proposed in the current work that can help in removing this subjectivity by using correlation coefficients. Present work explores the use of Pearson correlation coefficient, Spearman rank correlation coefficient and Kendall Tau correlation coefficient to obtain the weighting factors for each parameter used for avalanche forecasting. These parameters are further used in the cosine similarity based nearest neighbour model for avalanche forecasting. Bias and Peirce’s Skill Score are performance measures used to evaluate the outcome of the experimental work.


2021 ◽  
Vol 3 (31) ◽  
pp. 107-118
Author(s):  
Anna Pluskota

The purpose of the article. The aim of the study is to show the impact of the key macroeconomic determinants of the credit risk of the banking sector in Poland in 2011–2020. This aim was achieved by analysis of the Pearson correlation coefficient and econometric models allowing to determine the impact of individual variables on the NPL index. Methodology: The empirical part includes the presentation and description of basic descriptive statistics, as well as the calculation of the Pearson correlation coefficient with the interpretation of the obtained results. The dynamic econometric model describing the variability of the NPL ratio was built using mainly macroeconomic variables. Results of the research: Research has shown the impact of changes in the unemployment rate and the inflation rate on credit risk. On the other hand, the impact of economic growth on the NPL ratio in the analyzed period was not statistically significant. The relationship between credit risk and changes in foreign exchange rates (CHF, USD, EUR) turned out to be negative in the analyzed period, which means that the increases in exchange rates of these currencies did not result in a significant burden of credit risk in the banking sector in Poland.


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