International Journal of Geoscience, Engineering and Technology

Editorial Team and Contents Volume 6

Antonio Jorge de Lima Gomes, Jorge Luiz dos Santos Gomes — Mon, 31 Oct 2022 00:00:00 +0000

Editorial Team and Contents.

Editorial to the sixth issue of the International Journal of Geoscience, Engineering and Technology

Antonio Jorge de Lima Gomes, Jorge Luiz dos Santos Gomes — Mon, 31 Oct 2022 00:00:00 +0000

Editorial to the sixth issue of the International Journal of Geoscience, Engineering and Technology.

Evaluation of Non-Newtonian Fluid Flow in Coiled Tubing

Mon, 31 Oct 2022 00:00:00 +0000

The coiled tubing system is made up of a long and flexible steel tube wound around a coil, which can reach over 6000 meters in length. During operation, part of the tube remains wound on the spool, while the other part is directed into the well. In this tube, different types of fluids, such as water, cement paste and displacement fluid, are pumped in order to ensure the isolation of the well. This work presents three stage of experiment that was carried out with water and xanthan gum solutions that had rheological properties and behavior that approximated a used cement paste. In the first stage of this study, data from pumping water and cement paste in a real well abandonment process were used to validate a mathematical modeling. The simulated data approximated the field data with a mean relative error below 9%. In the second stage experiments were carried out with xanthan gum solution at a concentration of 0.5 lb bbl^-1, and temperatures of 30ºC and 40ºC. The objective of this study was to verify if the model proposed by the author is valid for different concentrations and temperatures. Finally, in the third stage of the study, simulations were carried out in order to obtain the maximum pumping capacity of the system, with the installation of a new pump. The simulated data shown that the water flow reached the turbulent regime with a maximum pumping flow of 2 m³ h^-1, while the flow of the xanthan gum solution did not reach the turbulent regime, even reaching a maximum flow of 3 m³ h^-1.

Evaluation of the suitability of a soil for the production of blocks of compressed earth

Nwandji Yankam Hippolyte, Atahualpa Sosa-Lopez — Mon, 31 Oct 2022 00:00:00 +0000

This article aims to evaluate the suitability of a soil in the western region of Cameroon for the manufacture of earth blocks. Laterite samples taken and then passed through a 20mm mesh sieve. the soil obtained underwent a geotechnical characterization in order to know its grain size and its plasticity. the data obtained were inserted into the reference spindle of the NF XP P 13-901 standard and finally, a classification of this soil sample according to the same standard made it possible to know its acceptability for the manufacture of earth blocks. emerges that with a plasticity index of 33.35% and a proportion of 33.41% passing through the 80µm sieve, this soil sample is class B6, that is to say could be use for the production of compressed earth blocks but lacking of a few quantities of fine soil.The improvement of its granulometry as well as its stabilization with lime with regard to its high plasticity index will make it possible to increase the durability of the earth blocks produced from this soil.

Mapping of risk areas in the Buritis and Castro Pires neighborhoods in Teófilo Otoni - MG

Mon, 31 Oct 2022 00:00:00 +0000

The disorderly growth associated with population density has been the main factor causing the increase in areas of environmental and geological risk in recent years. The objective of this study is to identify and classify the main risk areas in the Buritis and Castro Pires neighborhoods located in Teófilo Otoni – MG/Brazil. Initially, a field survey was carried out to identify the main areas of risk. For the evaluation of the areas, the Mapping of Risks on Slopes and Margins manual was used, prepared by the Ministry of Cities, which classifies the risk factors in R1, R2, R3 and R4 into low, medium, high and very high risk, respectively. Six risk areas were identified: areas 1, 2 and 5, located on Ewald Middeldorf street, were classified as risk level R4; areas 3 and 4 on Sebastião Gomes de Matos Street with risk level R3; and area 6 on 8 de Janeiro Street with risk level R2.

Proposition for the Construction of a Risk Map for the Civil Engineering Laboratory in the ICET Building at UFVJM - Campus do Mucuri

Mon, 31 Oct 2022 00:00:00 +0000

An overview of the work environment is necessary to identify the risk conditions of work to the safety of accidents, from these, as their functions will have significant criteria to social ones. This article presents the risk map implemented in a Civil Engineering laboratory at the Institute of Science, Engineering and Technology – ICET – at UFVJM. For that, a critical analysis was carried out based on the knowledge acquired in the Hygiene and Safety at work discipline, in the auxiliary bibliographies and in the information collected during the visit and mapping of the place. After collecting the data, it was possible to create a risk map, where the physical, chemical, ergonomic and accident analysis risks are justified. The map is the first prevention of What can be adjusted and the adjustment conditions of the environment.

Improvement proposals for Lean Six Sigma projects applied in the automotive sector

Mon, 31 Oct 2022 00:00:00 +0000

This work aims to evaluate the application of the Lean Six Sigma (LSS) approach in two projects carried out in the automotive sector, demonstrate the benefits of using the method in the field, and criticize the application of improvement projects, to point out changes, points to be modified and/or added to improve results. Thanks to the Web of Science, several scientific articles that published LSS projects were examined, being filtered with some criteria, such as the year of publication and the application of the methodology. The first selected aims to identify problems in the production line, validate opportunities and implement improvements, and the second aims to analyze the impact of implementing the LSS in reducing waste in internal logistics. For this, studies were carried out in the areas of project management, production planning and control, logistics, and quality engineering. In the unfolding of this work, the steps resulting from the application of the LSS are presented and analyzed and proposals for improvements are carried out, accompanied by the creation of graphs and tools that fit into each phase of the DMAIC (Define, Measure, Analyze, Implement and Control).

Administrative Impropriety Law and the mandatory protection of the public manager in the implementation of public policies guaranteeing fundamental rights under the neo constitutionalism view

Luiz Gustavo Saboya de Castro Mota, Agenor Leandro de Sousa Filho — Mon, 31 Oct 2022 00:00:00 +0000

Through bibliographical, documental, and jurisprudential research of applied nature, the present study aims to prove the public manager's framing in the Administrative Misconduct Law, in his eventual denial of the realization of the fundamental rights foreseen in the Federal Constitution through public policies. The problem is the lack of discretion of the Public Manager in implementing measures to protect citizens from fundamental guarantees, which, otherwise, would offend both constitutional and public administration principles, such as efficiency, legality, and morality. Therefore, the constitutional character of the LIA is explained, as well as the sanctions provided for in its text, to prove that such omissions are considered acts of administrative improbity. Through jurisprudential research on the website of the Federal Supreme Court (STF), it is recognized, however, the absence of accountability in the omission of public policy implementation by the Public Manager, even though it is considered the negative in different typification’s. It concludes, showing the Public Manager as a protagonist in the implementation of public policies, a true guardian of the citizen before a true Democratic State of Law.

Predicting the failure of institutions based on qualitative parameters using Bayesian Networks

Joyce Ferreira da Silva, Lucianne Magalhães de Oliveira — Mon, 31 Oct 2022 00:00:00 +0000

In the year 2020, the situation took dramatic contours for companies and entrepreneurs. With the COVID-19 pandemic, bankruptcy filings increased by about 12.7% compared to the previous year, and in addition, it was the first increase since the 2016 crisis. In this scenario, it is necessary to predict the bankruptcy of companies to anticipate actions and minimize the effects. The present work uses a tool known as Bayesian Networks, which is based on graph theory and probability theory to model an uncertainty scenario. The Network for the proposed study was manually modeled through the use of Netica, consequently, it was possible to obtain satisfactory results through the analysis of some sectors within the institutions. With the help of the tool, it was possible to predict the bankruptcy based on qualitative parameters of specialists, analyzing the risks that can result in the failure of organizations.

Influence of soil use and occupation on the surface flow slide in the São Benedito river hydrographic microbasin

Mon, 31 Oct 2022 00:00:00 +0000

Knowing about the surface runoff is an important information in the context of planning and integrated management of hydrographic basins. The objective of this research is to analyze the influence of land use and occupation on the surface runoff in the Ribeirão São Benedito watershed, located in Teófilo Otoni/MG, in the years 2013 and 2021. To estimate the surface runoff in the watershed, the CN method (USDA, 1954) of the National Service for the Conservation of Natural Resources (NRCS) of the United States Department of Agriculture (USDA) was used. It was found, between the years 2013 and 2021, that there was an increase of 2% in the surface runoff. This was mainly due to the increase in exposed soil in the watershed.

Application of Bayesian Networks in the recurrence of cancer of breast

Graziele Costa Cardoso, Lorena Sophia Campos de Oliveira — Mon, 31 Oct 2022 00:00:00 +0000

Despite the effectiveness in the treatment of breast cancer when discovered early and the possible cure even when discovered late, patients live with uncertainty in the face of the possibility of recurrence of the disease. Artificial Intelligence tools, used in solving complex problems, can help to identify the probability or not of recurrence and identify the main factors associated with it. Therefore, this work is based on the use of Bayesian Networks, through Netica software, as a tool that calculates the probability of occurrence of an event based on data from the variables related to it, to identify patterns associated with the recurrence rate of the event. breast cancer, from data concerning the type of nodule, grade, menopause, which breast and age of the patients.

Comparative study of the reliability of some deterministic and stochastic interpolation methods for ground bearing capacity mapping: Case of the Olembé social housing site in Cameroon

Mon, 31 Oct 2022 00:00:00 +0000

This paper deals with the comparative study of the reliability of some deterministic and stochastic interpolation methods for ground bearing mapping. Covering an area of 121,481.65 m², the site covered by this study is located in the locality of Olembé in the central region of Cameroon. The methodology consisted of collecting from the Ministry of Housing and Urban Development the results of the tests relating to the bearing capacity of the soil for depths of 1.2m, 2.4m and 4.5m as well as the location of the sounding points. Using ARCGIS mapping software, ground bearing mapping was performed by Inverse Distance Weighting (IDW) and Local Polynomial Interpolation (LPI) as deterministic interpolation methods while Ordinary Kriging (KO) and Empirical Bayesian Kriging (KBE) were retained as stochastic methods. The comparative analysis of the interpolation error according to the different methods studied shows that the stochastic methods are the most precise and the empirical Bayesian kriging is the most precise of all. The interpolation error between 8.1% and 41.20% for the deterministic methods while for the stochastic methods it is between 0.4% and 8.80%. The minimum average of bearing capacity recorded for the deterministic methods is 2.35 bars, 3.52 bars, 1.89 Against 1.58bars, 2.42bars and 1.75 bars for the stochastic methods at a depth of 1.2m, 2.4m and 4.5m respectively.