scholarly journals Ability to Write a Reader’s Letter About the School Environment in 03 Lumbir State Junior High School

2021 ◽  
Vol 1 (1) ◽  
pp. 21-27
Author(s):  
Nur Amalia Solikhah ◽  
Destia Herlisya
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Junior High School ◽  
School Environment ◽  
Random Sampling ◽  
Quantitative Methods ◽  
Sampling Techniques ◽  
Engineering Data ◽  
Descriptive Approach ◽  
Cluster Random Sampling

The issues examined in this research relates to the ability of students in writing letters of readers about the school environment. This research uses descriptive quantitative methods, and sampling techniques used are random class (cluster random sampling). Engineering data collection using the technique of main performance writing letters readers about the school environment. Technique of data analysis using quantitative analysis with the descriptive approach. Based on research results, gained that ability of students in writing letters of readers about the school environment belongs simply because final value shows number 67. The constraints experienced by students in writing letters of readers about the school environment i.e. students still lack understanding about the reader's letters, and the difficulty of applying aspects of mail readers. The most prominent barriers in writing letters of readers about the school environment experienced by students i.e. difficulty applying the spelling language Indonesia with good and true.

The Demonstration Engineering Data Analysis of Heat Allocation Technique Based on on-Off Time and Area Method in Xingtai

2011 ◽  
Vol 374-377 ◽  
pp. 602-605
Author(s):  
Jian Jun Hu ◽  
Hua Yang ◽  
Li Xin Yang ◽  
Dan Chen ◽  
Guo Qiang Xia ◽  
...  
Keyword(s):  
Data Analysis ◽  
Heat Consumption ◽  
Existing Buildings ◽  
Average Heat ◽  
Area Method ◽  
Actual Operating ◽  
Engineering Data ◽  
Heat Metering ◽  
Operational Aspect ◽  
Off Time

Introduces the construction and operational aspect of 15 plots of existing buildings heat metering demonstration engineering in Xingtai, arranging the average heat consumption of Xingtai city, each plot, each building, every heat user according to the actual operating data. The results of data analysis indicate that the heat allocation technique based on on-off time and area method can characterize the users' demand for the size of the heat correctly, achieve the purpose of a reasonable heat metering. Applying the heat allocation technique based on on-off time and area method in the actual project is feasible, can popularize and apply extensively.

Step-wise uncertainty reduction in time-lapse seismic interpretation using multi-attribute analysis

2021 ◽  
pp. petgeo2020-087
Author(s):  
Masoud Maleki ◽  
Shahram Danaei ◽  
Felipe Bruno Mesquita da Silva ◽  
Alessandra Davolio ◽  
Denis José Schiozer
Keyword(s):  
Data Analysis ◽  
Interdisciplinary Approach ◽  
Time Lapse ◽  
Seismic Interpretation ◽  
Complex Nature ◽  
Engineering Data ◽  
Attribute Analysis ◽  
Production Regime ◽  
Reservoir Simulation Model ◽  
4D Seismic

Recently, time-lapse seismic (4D seismic) has been steadily used to demonstrate the relation between field depletion and 4D seismic response, subsequently to have more efficient field management. A key component of the reservoir monitoring is the knowledge of fluid movement and pressure variations. This information is vital to assist infill drillings and a trustworthy source to update reservoir models, consequently improving model-based reservoir management and decision-making process. However, in practice the 4D seismic interpretation of reservoirs with multipart production regime possesses ambiguities through different levels of uncertainty. Complex nature of some 4D seismic signals emphasizes the roles of competing effects, geology, rock and fluid interactions. Hence, a reliable 4D interpretation requires an interdisciplinary approach entailing data analysis and insights from geophysics, engineering and geology. In this research, a step-wise workflow was introduced to reduce uncertainties in the 4D seismic interpretation and provide diagnoses to perform better reservoir surveillance. In parallel, the workflow expresses the use of engineering data analysis to conduct a consistent interpretation and encompasses the 3D and 4D seismic attributes with engineering data analysis. This study is implemented in a Brazilian heavy-oil offshore field where production started in 2013. The field experienced intense production activity up to 2016, making the deep-water field an ideal candidate to explore the challenges in interpreting complex 4D signals. Beyond these challenges, significant understanding of reservoir behavior is obtained and suggestions are made to improve the reservoir simulation model, which could support reservoir engineers with data assimilation applications.

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