Using Data Analytics to Assess the Impact of Technology Change on Production Forecasting

2018 ◽  
Author(s):  
Frank Male ◽  
Chastity Aiken ◽  
Ian J. Duncan
Keyword(s):  
Data Analytics ◽  
Technology Change ◽  
Production Forecasting ◽  
Using Data ◽  
Impact Of Technology ◽  
The Impact

Architecture for Analyzing Agriculture Data Using Data Analytics

2021 ◽  
pp. 111-122
Author(s):  
Namratha Birudaraju ◽  
Adiraju Prasanth Rao ◽  
Sathiyamoorthi V.
Keyword(s):  
Data Analytics ◽  
Poverty Reduction ◽  
Production Efficiency ◽  
Agricultural Practices ◽  
Emerging Trends ◽  
Smart Farming ◽  
Using Data ◽  
Real Time Information ◽  
The Impact ◽  
And Storage

The main steps for agricultural practices include preparation of soil, sowing, adding manure, irrigation, harvesting, and storage. For this, one needs to develop modern tools and technologies that can improve production efficiency, product quality, schedule and monitoring the crops, fertilizer spraying, planting, which helps the farmers choose the suitable crop. Efficient techniques are used to analyze huge amount of data which provide real time information about emerging trends. Facilities like fertilizer requirement notifications, predictions on wind directions, satellite-based monitoring are sources of data. Analytics can be used to enable farmers to make decisions based on data. This chapter provides a review of existing work to study the impact of big data on the analysis of agriculture. Analytics creates many chances in the field of agriculture towards smart farming by using hardware, software. The emerging ability to use analytic methods for development promise to transform farming sector to facilitate the poverty reduction which helps to deal with humane crises and conflicts.

scholarly journals Using data analytics to quantify the impact of production test uncertainty on oil flow rate forecast

2020 ◽  
Vol 75 ◽  
pp. 7 ◽  
Author(s):  
Danielle D. Monteiro ◽  
Maria Machado Duque ◽  
Gabriela S. Chaves ◽  
Virgílio M. Ferreira Filho ◽  
Juliana S. Baioco
Keyword(s):  
Multiphase Flow ◽  
Flow Rate ◽  
Data Analytics ◽  
Flow Analysis ◽  
Flow Simulation ◽  
Production Test ◽  
Total Production ◽  
Oil Flow ◽  
Using Data ◽  
The Impact

In general, flow measurement systems in production units only report the daily total production rates. As there is no precise control of individual production of each well, the current well flow rates and their parameters are determined when production tests are conducted. Because production tests are performed periodically (e.g., once a month), information about the wells is limited and operational decisions are made using data that are not updated. Meanwhile, well properties and parameters from the production test are typically used in multiphase flow models to forecast the expected production. However, this is done deterministically without considering the different sources of uncertainties in the production tests. This study aims to introduce uncertainties in oil flow rate forecast. To do this, it is necessary to identify and quantify uncertainties from the data obtained in the production tests, consider them in production modeling, and propagate them by using multiphase flow simulation. This study comprises two main areas: data analytics and multiphase flow simulation. In data analytics, an algorithm is developed using R to analyze and treat the data from production tests. The most significant stochastic variables are identified and data deviation is adjusted to probability distributions with their respective parameters. Random values of the selected variables are then generated using Monte Carlo and Latin Hypercube Sampling (LHS) methods. In multiphase flow simulation, these possible values are used as input. By nodal analysis, the simulator output is a set of oil flow rate values, with their interval of occurrence probabilities. The methodology is applied, using a representative Brazilian offshore field as a case study. The results show the significance of the inclusion of uncertainties to achieve greater accuracy in the multiphase flow analysis of oil production.

A Comprehensive Study of Data Analytics in Social Perspectives

2021 ◽  
pp. 257-274
Author(s):  
Arram Sriram ◽  
Prasanth Rao Adhiraju ◽  
Praveen Kumar Kalangi ◽  
Sathiyamoorthi V.
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Data Analytics ◽  
Age Group ◽  
Social Perspectives ◽  
Social Events ◽  
Using Data ◽  
Different Cultures ◽  
The Impact ◽  
User Intervention

Social media websites enable users to create and share content or to participate in social networking. The main advantage of social media is the ability to communicate with different people to share their knowledge and discuss social events. The impact of social media on people and their behavior is enormous and also solves many problems if it works fine. But there may be negative aspects as well when they are exchange their ideas between people of very different cultures, religions, different age group, and misbehavior of a few users. These problems are addressed using data analytics, which takes people context into account, learns from it, and takes proactive steps according to their situation and expectations, avoiding user intervention as much as possible. This chapter presents all possible problems in social media and enabling those scenarios with effective solutions.

Practice Habits in Anesthesiology Resident Education: The Impact of Feedback Using Data Analytics

2021 ◽  
pp. 100176
Author(s):  
Ana Costa ◽  
Latha Chandran ◽  
Joy Schabel ◽  
Ramon E Abola ◽  
Rishimani Adsumelli ◽  
...  
Keyword(s):  
Data Analytics ◽  
Resident Education ◽  
Using Data ◽  
The Impact ◽  
Practice Habits

Accent Policy and Accent Modification Enterprises as Potential Indicators of Intercultural Power Relations: A Call for an Updated Research Agenda

2013 ◽  
Vol 3 (1) ◽  
pp. 22-33 ◽  
Author(s):  
Brynne D. Ovalle ◽  
Rahul Chakraborty
Keyword(s):  
International Relations ◽  
Identity Construction ◽  
Social Theory ◽  
Power Relations ◽  
Linguistic Diversity ◽  
Cultural Organization ◽  
Using Data ◽  
The Individual ◽  
The Impact ◽  
The Relationship

This article has two purposes: (a) to examine the relationship between intercultural power relations and the widespread practice of accent discrimination and (b) to underscore the ramifications of accent discrimination both for the individual and for global society as a whole. First, authors review social theory regarding language and group identity construction, and then go on to integrate more current studies linking accent bias to sociocultural variables. Authors discuss three examples of intercultural accent discrimination in order to illustrate how this link manifests itself in the broader context of international relations (i.e., how accent discrimination is generated in situations of unequal power) and, using a review of current research, assess the consequences of accent discrimination for the individual. Finally, the article highlights the impact that linguistic discrimination is having on linguistic diversity globally, partially using data from the United Nations Educational, Scientific and Cultural Organization (UNESCO) and partially by offering a potential context for interpreting the emergence of practices that seek to reduce or modify speaker accents.

Interculturalism and the Acceptance of Minority Groups

2020 ◽  
Vol 51 (2) ◽  
pp. 135-140 ◽  
Author(s):  
Maykel Verkuyten ◽  
Kumar Yogeeswaran
Keyword(s):  
Minority Groups ◽  
Psychological Research ◽  
Survey Experiment ◽  
Social Psychological ◽  
Negative Attitudes ◽  
Positive Attitudes ◽  
Social Psychological Research ◽  
Using Data ◽  
The Impact ◽  
Situational Effect

Abstract. Multiculturalism has been criticized and rejected by an increasing number of politicians, and social psychological research has shown that it can lead to outgroup stereotyping, essentialist thinking, and negative attitudes. Interculturalism has been proposed as an alternative diversity ideology, but there is almost no systematic empirical evidence about the impact of interculturalism on the acceptance of migrants and minority groups. Using data from a survey experiment conducted in the Netherlands, we examined the situational effect of promoting interculturalism on acceptance. The results show that for liberals, but not for conservatives, interculturalism leads to more positive attitudes toward immigrant-origin groups and increased willingness to engage in contact, relative to multiculturalism.

Sign in / Sign up

Export Citation Format

Share Document