bluuebunny/crossref_metadata_2025 huggingface dataset:
Anxiety in the elderly in the context of the COVID-19 pandemic
Authors: Cenedesi Júnior Mario Angelo , Malta Arlete do Monte Massela , De Faria José Geraldo , Saldaña Edwin Gabriel Ayala , Ilizarbe Rocio Edy Jacobe , De Souza Neide Moreira , Da Silva Solange Alves , Da Silva Larissa Suellen Ribeiro , Santos Priscila Rocha , Sakman Rosangela , Ribeiro Ana Rosa , Vouillat Silvia Elena
Published: November 2023

Anxiety is a complex phenomenon. It involves aversive components in behavioral contingencies and can manifest in both respondent and operant contexts. Anxiety is a common emotion that serves as a warning signal in challenging situations but can become uncontrollable, leading to physical and mental health issues, especially in the elderly. Anxiety disorders are characterized by excessive fear and constant worry, often linked to genetic, environmental, and age-related factors. These disorders can negatively affect the quality of life and increase the risk of suffering and disability, especially in the elderly. Research has shown an inverse relationship between clinical anxiety and the quality of life in older individuals, leading to higher distress levels, functional impairment, and increased healthcare costs. Anxiety is also associated with memory problems in the elderly, further impacting their well-being. The COVID-19 pandemic has highlighted the impact of anxiety on the emotional well-being of the elderly. Social isolation during the pandemic has led to symptoms of depression, loneliness, and anxiety in both young and older individuals. Changes in daily routines, uncertainty about the future, and grief due to loss of loved ones have intensified these emotional responses. The pandemic has exacerbated the immune system's decline in older individuals, further affecting their emotional well-being. Psychosocial consequences of social isolation are not exclusive to the pandemic and have been observed in previous episodes of isolation. The loss of friends or family members of the same age during the pandemic has intensified emotional responses, including sadness, post-traumatic stress syndrome, and persistent grieving symptoms. In conclusion, anxiety is a multifaceted phenomenon that profoundly impacts the physical, mental, and emotional well-being of the elderly. The COVID-19 pandemic has emphasized the importance of addressing anxiety in this population, not only for their immediate well-being but also for the potential long-term consequences. Targeted interventions and support systems are crucial to help the elderly manage and mitigate anxiety effectively.
Desafios da contaminação hídrica e do solo: uma breve análise das nascentes da APA das Serra das Areias-GO
Authors: Arakaki Arthur Teruo , De Carvalho Luciana Lara , Dos Reis Ana Cláudia Borges Coutrim , Tinoco Dyogo Henrique Barnabé , Campos Francisco Itami
Published: November 2023

O presente trabalho aborda a ameaça ao bem-estar dos seres vivos devido à escassez de água e à degradação do solo em várias regiões do mundo. São discutidos os principais desafios que comprometem a qualidade da água e a preservação das nascentes, bem como as ações necessárias para garantir a conservação desses recursos vitais. A importância da conscientização ambiental e do envolvimento da comunidade também é ressaltada. Além disso, são destacados os esforços realizados na APA da Serra das Areias-GO para preservar as nascentes e combater a crise hídrica. Por fim, são apresentadas considerações finais sobre a necessidade de gestão responsável e sustentável dos recursos hídricos e do solo para garantir um futuro protegido e sustentável para a humanidade.
Da bancada para a tela: práticas de parasitologia no ensino remoto
Authors: De Oliveira Bruna Simão , Da Silva Juliana Veloso , Costa Ualefe Cesar Vaz , Martins Michelle de Matos , Barros Jupyracyara Jandyra de Carvalho , De Oliveira Heliana Batista
Published: November 2023

O Parasitismo é uma relação ecológica desarmônica caracterizada pela relação parasito-hospedeiro, onde o parasito espolia o hospedeiro garantindo assim os recursos necessários para sua sobrevivência. A localização geográfica e situação socioeconômica, favorecem para que o Brasil seja endêmico para a maioria das infecções parasitárias, seja causada por protozoários, helmintos ou ectoparasitos. A disciplina de parasitologia tem como foco principal o estudo dessa relação, os aspectos morfológicos, estruturais e biológicos dos parasitos e estratégias para o controle de possíveis infecções.  Partindo do pressuposto “conhecer para prevenir”, as aulas práticas são de suma importância para a visualização das formas evolutivas parasitárias e suas estruturas que permitem sua classificação e favorecem o estabelecimento de infecções parasitárias.  Durante o período pandêmico, e consequente implementação do ensino remoto, uma das principais dificuldades encontradas foi a abordagem de aulas práticas virtualmente. Nesse sentido, foi produzido material didático para as disciplinas de Parasitologia e Parasitologia Humana ministradas para os cursos de Licenciatura e Bacharelado em Ciências Biológicas e Enfermagem, da Unidade Acadêmica de Biotecnologia da Universidade Federal de Catalão. O referido material aborda conteúdos de aulas práticas, destacando as principais estruturas e respondendo questões específicas da conduta dentro de um laboratório de parasitologia.  Para a elaboração do material foram utilizadas lâminas permanentes do Laboratório de Biologia Molecular, imagens disponíveis na internet e bibliografia sugerida das disciplinas. O material didático foi utilizado durante o ensino remoto como modelo para que os alunos produzissem portfólios como atividade avaliativa. Pretende-se, diante da qualidade do material e da boa aceitação dos alunos, utilizar esse material nas aulas práticas presenciais como direcionamento para a melhor visualização das estruturas ao microscópio de luz. Espera-se, com a disponibilização do mesmo, tornar as aulas mais dinâmicas e proporcionar a potencialização da formação de recursos humanos na área de parasitologia, além de maior engajamento e entendimento por parte dos discentes.
Desvendando o futuro financeiro: a revolução dos sistemas de informação na contabilidade gerencial empresarial
Authors: Procopio Davi Firmino , De Assis Pablo Roberto , Maia Junior Almeciano José , Santana Edenilton , Corrêa Solange Rodrigues dos Santos
Published: November 2023

Com a crescente complexidade do ambiente de negócios, as empresas precisam adotar uma abordagem mais estratégica para a gestão financeira. Nesse sentido, os sistemas de informação são uma ferramenta importante para a contabilidade gerencial, permitindo que as empresas obtenham informações precisas e confiáveis sobre suas finanças. Esta pesquisa tem por objetivo demonstrar a necessidade do uso de sistemas de informação na contabilidade gerencial para uma melhor tomada de decisão de uma organização. A pesquisa científica foi elaborada sob a forma bibliográfica através de livros, revistas técnicas, biblioteca e meios eletrônicos sobre os temas abordados. Foram conceituadas neste artigo a contabilidade gerencial e sistemas de informações. Foi demonstrado através da pesquisa a relevância dos sistemas de informação na contabilidade gerencial com a finalidade de orientar os gestores em suas decisões. A contribuição desta ferramenta ultrapassa às percepções de mero auxílio informatizado, ajudando a reduzir erros humanos, melhorar a eficiência operacional e permitir o compartilhamento de informações entre diferentes áreas da empresa. Essas vantagens resultam em informações financeiras mais precisas e confiáveis, que são essenciais para a tomada de decisões estratégicas.
Compreender a linguagem contábil: notas explicativas e relatório da administração como guias transformadores para o usuário intermediário
Authors: Dos Santos Tatiana Santana , De Assis Pablo Roberto , Maia Junior Almeciano José , Santana Edenilton , Corrêa Solange Rodrigues dos Santos
Published: November 2023

Diante da complexidade envolvida na linguagem contábil e das dificuldades enfrentadas pelos usuários externos de nível intermediário na interpretação de demonstrativos financeiros, surge a necessidade de investigar como as notas explicativas e o relatório de administração podem ajudar a fornecer uma compreensão mais eficaz da linguagem contábil por parte desses usuários. Para isso aplicou-se como metodologia de pesquisa a análise teórica, onde buscou-se respaldo da Ciência Contábil e da Teoria da Comunicação para fundamentar o estudo. Os resultados apontam que a linguagem contábil, muitas vezes, tecnicista, acaba por dificultar a compreensão dos demonstrativos e tanto as notas explicativas, quanto o relatório da administração possuem grande potencial para tornar a informação contábil mais acessível e significativa para um público que não possui expertise contábil avançada. A resposta encontrada pode contribuir significativamente para aprimorar a comunicação financeira e facilitar a tomada de decisões de investimento e estratégicas por parte dos usuários intermediários.
Desenvolvimento e avaliação de prática de educação contra a COVID-19: o foco no acompanhante hospitalar
Authors: De Lima Alessandra , Fadel Cristina Berger , Watanabe Millene Hikari , Bastos Claudia Regina Biancato
Published: November 2023

O acolhimento fornecido pelo acompanhante hospitalar é essencial na recuperação do paciente internado, sendo que a presença deste representa um aspecto de extrema importância na hospitalização humanizada. Nesse sentido, a pandemia da COVID-19 trouxe a necessidade da informação em saúde junto a esses sujeitos. Relatar uma prática educativa voltada a acompanhantes hospitalares e avaliar a percepção de trabalhadores de um hospital universitário quanto à aplicação da estratégia de educação em saúde. A busca dos dados para elaboração dos materiais educativos foi realizada em outubro de 2021 e foi fundamentada em pressupostos teóricos buscados em fontes secundárias. Já a avaliação da percepção dos trabalhadores do hospital quanto a adesão às recomendações contidas no material educativo foi realizada em 2022, por meio de entrevistas individuais e os resultados foram categorizados com a técnica de Análise de Conteúdo Temática. Para a prática educativa foram desenvolvidos instrumentos impressos e digitais, os quais envolveram orientações gerais e específicas ao acompanhante hospitalar durante o seu período de permanência no hospital. Da avaliação desta estratégia ou prática educativa emergiram três temas centrais: Importância da confecção de materiais educativos; Conscientização dos acompanhantes hospitalares; Importância do Serviço Social. A prática educativa aplicada juntamente com a capacitação de trabalhadores assistenciais contribuiu para assegurar um atendimento mais seguro e de qualidade no cenário de estudo.
O papel da escola no processo educacional da criança com Transtorno do Espectro Autista
Authors: Bezerra Danila da Silva , Da Silva Luana Guimarães , De Amorim Mariana Eloy , Lopes Cintia Batista
Published: November 2023

O autismo é caracterizado por uma ampla variedade de sintomas e graus, o que levou à classificação como um "espectro", que inclui desde formas mais leves até formas mais graves da condição. Segundo dados de estudos científicos e publicados pela Organização Mundial da Saúde (OMS), a prevalência global do TEA é de aproximadamente 1 em 100 crianças. O objetivo deste estudo foi identificar como se desenvolve a atuação da escola na abordagem a criança com TEA. Trata-se de uma revisão integrativa da literatura a partir do agrupamento de 07 artigos relevantes ao tema. A análise de conteúdo reafirma o papel da escola sendo fundamental no diagnóstico precoce do TEA, bem como em todo o desenvolvimento educacional da criança.
Panchayat System in Karnataka: Democracy, Representation and Political Parties
Authors: Krishnappa Ramya , Agarwal Pukhraj
Published: November 2023

Abstract: As far as the Indian sub-continent is concerned local governance/panchayat has an elaborate history. The rural population have for long practiced this system of governing themselves through their representatives. The mode of working and the powers vested in the local bodies, have not been uniform throughout. The federation conferred constitutional status to the local governance bodies in 1993 and this system has progressed in an interesting way. Karnataka, a southern State in India has been ahead of time in enacting legislations dealing with local governance. Even before the amendment inserting provisions to the Constitution of India was passed, Karnataka had and was implementing extravagant laws pertaining to panchayats. Since democracy and decentralisation are closely associated with the panchayats, the idea of representation has a key role to play. The concerns with respect to involvement and influence of political parties in the local body elections are an important aspect as well.
This paper ventures out to understand the panchayat system in Karnataka, pre and post the Constitutional amendment. The paper intends to throw light on the essence of the legislations relating to panchayats in Karnataka and understand the idea of democracy, representational factor and the concept of elections on a non-party basis. The researchers have keenly pondered upon the implementation of apolitical elections in Karnataka, the flaws in the proposed phenomenon. The paper also aims to look into hurdles in the way of these local bodies and propose suggestions to get over the same.
 
Methodology: The research is doctrinal in nature. The authors have depended on primary sources inclusive of the Constitution of India, 1950, relevant statutes, statistical data and secondary sources including articles and research papers.
 
Results/Analysis: Apolitical elections to the local government bodies in Karnataka is a myth and it ceremoniously present on papers. Political parties, national and regional influence the electoral process at the grass root level. Interference of political parties in panchayat elections is detrimental to the working of panchayats.
Business Performance of Small and Medium Enterprises: Evaluation of Respondents
Authors: Huong Doan Thi Mai , Lan Do Thi Ngoc , Tung Vu Van , Duc Khuong Huyen , Anh Le The
Published: November 2023

Objective: The following were the objectives of this study: 1. analysis and measurement of the business performance of small and medium enterprises in Hanoi, Vietnam; 2. comparison of assessments of the business performance of small and medium enterprises in Hanoi, Vietnam, between respondents.
 
Method: The data used in this study are primary, including survey data obtained from the respondents. We designed a questionnaire related to the business performance of small and medium enterprises in Hanoi. We determined the observed variables (scales) of the business performance of small and medium enterprises based on previous studies and expert interview results. We use both qualitative and quantitative research methods, including descriptive statistics, reliability analysis through the Cronbach alpha coefficient, EFA analysis, the independent T test, and ANOVA analysis. Besides, the study analyzed performance data for small and medium enterprises during the period 2022–2023.
 
Results: According to the findings of this study, five attributes of the business performance of small and medium enterprises in Hanoi were quite high. All the attributes of the variables are statistically significant. There is no statistically significant difference in the business performance of small and medium enterprises in Hanoi between these different marital statuses, work locations, and job positions.
 
Conclusions:  It was found that the business performance of small and medium enterprises in Hanoi has many positive points, despite just going through the COVID-19 pandemic and economic growth. This article is an academic contribution that enables understanding of the research developed and focuses on the business performance of small and medium enterprises in Hanoi, considering data from several reference research databases and survey results.
Facile preparation of a sensitive electrochemical sensor with good performance for determination of methionine
Authors: Mohammadzadeh Jahani Peyman , Tajik Somayeh
Published: November 2023

In this work, a novel voltammetric sensor for detection of methionine was designed and prepared by using carbon paste electrode (CPE) modified with ZnO hollow quasi-spheres (ZnO hollow QSs) and 1-Butyl-3-methylimidazolium hexafluorophosphate (BMIM.PF6). The results by cyclic voltammetry (CV) showed that the prepared electrode (ZnO-BMIM.PF6/CPE) effectively increased the oxidation peak current and reduced the oxidation peak potential of methionine, and had a suitable electrocatalytic activity for oxidation of methionine. Notably, the ZnO-BMIM.PF6/CPE exhibited high detection capability towards the quantification of methionine in 0.1 M PBS (pH = 7.0) over a concentration range from 0.04 µM to 330.0 µM with a limit of detection (LOD) of 0.02 μM. More importantly, the effectiveness of the ZnO-BMIM.PF6/CPE seneor was also confirmed in real sample (urine detection with acceptable recoveries (98.0-102.7%) and RSDs values ≤ 3.3%.
3D open educational resources and emergent pedagogy in university training in health sciences. The affordances and pedagogies of creativity
Authors: Jerónimo Montes José Antonio
Published: November 2023

Introduction: UNESCO defines Open Educational Resources (OER) as freely accessible and adaptable educational materials, whose integration in education, especially in post-pandemic times and in the digital era, has been limited, despite the efforts of institutions such as the Facultad de Estudios Superiores Zaragoza to promote their use in hybrid and flexible teaching modalities. This study analyzes the transformation of higher education in the context of the COVID-19 pandemic, focusing on the integration and impact of Open Educational Resources (OER) and Information and Communication Technologies (ICT). Methods: a literature review and analysis of current educational practices in universities was conducted, with special attention to the adoption of OER and the use of hybrid and digital teaching methodologies. Results: the results indicate that, despite the accessibility and adaptability of OER, their adoption in university education has not been extensive, mainly attributed to lack of knowledge about their use and potential. The pandemic has accelerated the need to adapt pedagogical strategies, highlighting the importance of interaction and collaboration in learning. Maker pedagogy and 3D printing are identified as valuable tools to improve understanding and practical skills, especially in the health sciences. Conclusion: the study concludes that post-pandemic education requires an adaptive, interactive and technologically integrated approach, promoting continuous learning and adaptation to changing cultural and cognitive practices. It underscores the need to democratize design and manufacturing technologies and to foster collaborative and participatory learning communities through OER
The Effect of SEKAR (Sumber Edukasi Anemia yang Relevan) Card-Based Nutrition Education on Knowledge and Iron Intake in Pregnant Women
Authors: Hairiyah Saibatul , Toaha Aminah , Abri Nur , Virawati Dini Indo
Published: November 2023

Anemia in pregnant women is one of the most common public health emergencies, especially in low- and middle-income countries, such as Indonesia. This study aims to determine the effect of SEKAR (Sumber Edukasi Anemia yang Relevan) card-based nutrition education on knowledge and iron intake in pregnant women at the Mangkupalas Samarinda Health Center. The type of research used is an experimental study with a pre-test and post-test research design with the control group. A total of 36 pregnant women were taken into samples divided into 2 groups, namely 18 interventions and 18 controls based on inclusion and exclusion criteria.  Nutrition education variables were obtained using SEKAR cards and leaflets containing information about anemia. The knowledge was obtained using a structured questionnaire that had been validated and a pregnant woman's iron intake was obtained using a 24-hour in-depth food recall interview. Data were analyzed using the Wilcoxon and Mann-Whitney tests. Results show that the effect of nutrition education using SEKAR on the knowledge of pregnant women (p = 0.003), and iron intake (p = 0.031). Leaflet media did not affect knowledge (p = 0.072) and iron intake (p = 0.078). There was a significant difference between SEKAR cards and leaflets on knowledge improvement (p = 0.001) and there was no significant difference between the use of SEKAR card media and leaflets on iron intake (p = 0.516). Media SEKAR is superior and effective was used in this study. It is hoped that there will be continuous nutrition education
Relationship between the Frequency of Attending Islamic Learning Activities and the Development of Students Tolerance Attitudes towards Religious Different
Authors: Paramansyah Arman , Djollong Andi Fitriani
Published: November 2023

This research explores the link between students' attendance at Islamic learning activities and the development of tolerance towards religious diversity. Conducted in Sukabumi, Indonesia, the study involves 100 high school students from various backgrounds. Results indicate a positive correlation between frequent Islamic studies attendance and heightened tolerance attitudes. The findings emphasize the potential of integrating Islamic learning activities into educational practices to promote inclusivity.
The effect of temperature and storage time on DNA integrity after freeze-drying sperm from individuals with normozoospermia
Authors: Kazorgah Farzaneh Mohammadzadeh , Govahi Azam , Dadseresht Ali , Kenari Fatemeh Nejat Pish , Ajdary Marziyeh , Mehdizadeh Rana , Derakhshan Roya , Mehdizadeh Mehdi
Published: November 2023

Objective: This study evaluated the effects of temperature and storage time on the quality and DNA integrity of freeze-dried sperm from individuals with normozoospermia.Methods: Normal sperm samples from 15 men aged 24 to 40 years were studied. Each sample was divided into six groups: fresh, freezing (frozen in liquid nitrogen), freeze-dried then preserved at room temperature for 1 month (FD-1m-RT), freeze-dried then preserved at room temperature for 2 months (FD-2m-RT), freeze-dried then preserved at 4 °C for 1 month (FD-1m-4 °C), and freeze-dried then preserved at 4 °C for 2 months (FD-2m-4 °C). The morphology, progressive motility, vitality, and DNA integrity of the sperm were evaluated in all groups.Results: In all freeze-dried groups, sperm cells were immotile after rehydration. The freeze-dried groups also showed significantly less sperm vitality than the fresh and frozen groups. Significantly more morphological sperm abnormalities were found in the freeze-dried groups, but freeze-drying did not lead to a significantly higher DNA fragmentation index (DFI). The DFI was significantly higher in the FD-2m-RT group than in the other freeze-dried groups.Conclusion: The freeze-drying method preserved the integrity of sperm DNA. The temperature and duration of storage were also identified as factors that influenced the DFI. Accordingly, more research is needed on ways to improve sperm quality in the freeze-drying process.
Monthly variations in semen parameters in a Sri Lankan population undergoing fertility evaluation
Authors: Dissanayake Anura
Published: November 2023

Objective: Seasonal variations in semen quality are known to occur in temperate regions, but results regarding tropical areas remain inconclusive. The aim of this study was to determine whether monthly variations in semen parameters are present among men in a tropical region. Methods: Data were retrospectively collected from semen analyses of 3,000 men over a 10-year period, from 2012 to 2022. Analysis of variance and the independent-samples t-test were employed to observe variations in semen parameters throughout the entire period and between months, respectively. Results: The mean±standard deviation sperm concentration was significantly lower in June, at 42.5±31.4 million/mL, compared to other months. The highest sperm concentration was found in March, at 57.8±42.6 million/mL, constituting a mean difference of 15.3 million/mL between the lowest and highest concentrations. The total sperm count displayed a similar pattern of monthly variation, with a difference of 47.2 million between the highest and lowest months. No significant monthly differences were observed in other parameters, such as sperm motility, morphology, and semen volume. Conclusion: Significant monthly variations in sperm concentration and total sperm count were evident in this Sri Lankan population. March, which displayed the highest sperm counts, is in the spring in temperate regions, while the month with the lowest counts, July, is part of the summer. Fluctuations in photoperiod appear to most strongly influence these variations.
MANAGING MYOPIA CONTROL: A REVIEW OF PROVEN STRATEGIES
Authors: Gupta Vibhanshu , Sai Charan Labishetty , Rani Tara , Babu Logesh
Published: November 2023

Myopia control is a significant concern for parents of myopic children, and clinical research is expanding strategies to decrease myopia progression. This article reviews peer-reviewed research on a range of strategies for slowing down the progression of myopia, such as wearing bifocal or multifocal glasses, aligning gas-permeable contact lenses, going outside, and under-correcting myopic refractive error. Numerous interventions have proven ineffective, such as myopic refractive error under-correction, gas-permeable contact lens alignment, time spent outdoors, and bifocal or multifocal glasses.  The review found that myopia management measures, especially in children and teenagers, are an efficient strategy to delay myopia growth and lower the chances of excessive myopia, leading to significant eye issues later in life.

Keywords: Myopia control, multifocal lenses, orthokeratology, antimuscarinic drugs, atropine
A Compatible Marketing Strategy for the Faculty of Distance Education Institution
Authors: Hadianti Siti , Prakoso Teguh , Brillianing PRATIWI  , Memet CASMAT  , Ucu RAHAYU  , Siti AISYAH  , Fitra JAYA
Published: November 2023

As a prominent distance education institution, Universitas Terbuka (UT) plays a vital role in enhancing educational equity for Indonesian citizens by offering flexible and cost-effective learning opportunities. However, the exposure of UT, particularly the Faculty of Education and Teacher Training (FKIP), requires further enhancement. The phenomenon that occurs must be addressed by choosing a marketing strategy that targets various groups, particularly millennials. The purpose of this study is to investigate the most compatible marketing strategy for faculty in distance education institutions. In the initial year of this study, two key questions are explored: First, the optimal strategy for UT, specifically FKIP, to market its study program, and second, the most effective approach to diversify and promote UT’s study programs. Employing qualitative research, data was collected from 131 respondents and 80 students across four regional offices, supplemented by insights from marketing experts. The findings reveal the necessity for a balanced approach incorporating both conventional and digital marketing strategies. While the conventional strategy emerged as more effective based on the questionnaire and FGD results, the research highlighted the importance of developing a digital marketing strategy aligned with UT’s identity as a cyber university.
Peningkatan Minat Belajar Siswa pada Pembelajaran IPS di Sekolah Dasar melalui Pemanfaatan Multimedia
Authors: Kiki Kiki Suryadi Puta , Haryanti Yuyun Dwi
Published: November 2023

Multimedia merupakan gabungan dari beberapa media untuk menyampaikan informasi. Contoh media yang dimaksud adalah teks, gambar, video, musik, bahkan animasi. Guru dapat memanfaatkan multimedia sebagai media yang digunakan dalam pembelajaran Ilmu Pengetahuan Sosial (IPS)  di sekolah dasar. Penelitian ini bertujuan untuk meningkatkan minat belajar siswa pada pembelajaran IPS di sekolah dasar melalui pemanfaatan multimedia. Metode yang digunakan adalah metode studi literatur dengan mengumpulkan beberapa sumber yang terpercaya dan relevan dengan penelitian ini.
Yielded Zone Characterization While Drilling a Wellbore into Clastic Reservoirs Using Elastoplastic Modeling Approaches
Authors: Hamid Osman , Albahrani Hussain , Suaid Mohammed
Published: November 2023

Drilling a wellbore into a clastic reservoir exhibits complex rock behavior, including plastic deformation and yield zone development, which can affect wellbore stability and hydrocarbon production efficiency. Elastoplastic modeling methods have been increasingly used to simulate the drilling process and predict the location, shape, and size of yielded zones in the reservoir. This study aims to characterize the yielded zones in a sandstone reservoir during a borehole lifetime using elastoplastic modeling approaches. The methodology involves developing a finite element model of the sandstone reservoir using appropriate meshing techniques and boundary conditions definition for the problem. The constitutive model used in this study is the Drucker-Prager yielded criterion, which accounts for the non-linear behavior of the material during plastic deformation and yielding. The numerical method used is the finite element method, which discretizes the reservoir into small elements and solves for the stresses and strains in each element. The drilling process is simulated using incremental loading, miming the gradual application of drilling forces on the reservoir. The stress and strain fields in the reservoir were monitored during drilling, and areas of plastic deformation and yield were identified. The results showed that the elastoplastic modeling approaches used in this study accurately predicted the size, shape, and location of yielded zones in the clastic reservoir. The location and shape of the yielded zones agreed with the field observations.

Additionally, the model predicted the formation of a narrow, highly deformed zone around the wellbore, which is consistent with field observations. The size of the yielded zone depended on the drilling parameters, rock mechanical properties, and in-situ stresses. This study concludes that elastoplastic modeling approaches can be used to predict the size, shape, and location of yielded zones in sandstone reservoirs during wellbore drilling and production operations. The methodology used in this study can be used as a valuable tool for borehole planning and reservoir management. The innovation of this study lies within the use of elastoplastic modeling approaches to optimize drilling parameters and reduce the risk of wellbore instability in sandstone reservoirs. The results of this study can aid in designing drilling strategies that minimize the impact of yielded zones and improve wellbore stability, ultimately leading to increased production efficiency.
Groundwater Management Strategies for Handling Produced Water Generated Prior Injection Operations in the Bakken Oilfield
Authors: Almousa Mousa , Olusegun Tomomewo S. , Lim Yeo Howe , Khraisat Islam , Ajao Adewale
Published: November 2023

Mining processes can lead to groundwater contamination as chemicals and metals from the rocks leach into nearby water. This study examined the chemical makeup of highly saline water, a byproduct of oil production, from two sources in the Bakken shale, North Dakota. These samples had extremely high total dissolved solids (257,000mg/L) and hardness (>52,000 mg/L as CaCO3) but very low alkalinity (152.4 ± 184.9 mg/L as CaCO3). To extract the salts, agents like caustic soda (NaOH), lime Ca(OH)2, and Soda ash NaCO3 were added to the samples at 24°C. Caustic soda proved ineffective, but the softening process was successful with jar tests. Advanced analysis was done using ICP-MS. Lime and soda ash effectively removed 99.5% of hardness ions (Ca and Mg) in alkaline conditions. Specifically, lime treatment reduced Mg ions by 98.17% at pH 11.5 but increased Ca ions by 12.10%. Adjusting the pH by adding soda ash saw decreases to 10.3 at one site, removing 47.77% and 53.3% of Mg and Ca ions, respectively. Thus, lime effectively reduces Mg levels but is less effective for Ca, while soda ash is proficient in removing Ca from the water.
Predicting Formation Breakdown Pressures for Arbitrary Wellbore Orientation Using Machine Learning Techniques
Authors: Almani Tameem , Khan Khaqan
Published: November 2023

One of the major operational challenges facing hydraulic fracturing operations is the accurate estimation of the associated formation Breakdown Pressure. Underestimating this value can lead to frac-job cancellations, and overestimating it can result in huge expenditure loss. The complexity of the problem stems from the fact that there are several factors affecting this value, some of which are fluid-related parameters, while others are mechanical-related parameters. Conventional techniques for estimating this value rely on empirical formulas which try to approximate (or suppress) the effects of these different parameters in one or several equations. This does not necessary lead to accurate results, especially for highly heterogenous reservoirs. In this work, we will develop a machine learning approach, using Neural Networks, for computing breakdown pressure values for an arbitrary wellbore orientation. The novelty of the work presented in this paper lies in the way the training data set is prepared for the constructed Neural Network. Due to the scarcity of the training data, we will utilize the computational framework, presented in (Almani et al., 2021 (1,2)), for generating the training data-set for our Neural Network. Once the Neural Network is trained, it will be used to predict formation breakdown pressures for different wellbore orientations.
Modelling and Verification of Transient Flow and Heat Transfer for CO2 Injection Wells — Application to CCUS Project at H3 Block, China
Authors: Mao Fengxiang , Lyu Wei , Wang Bin , Wang Haizhu
Published: November 2023

The growing urgency to mitigate global warming has accelerated the development of carbon capture, utilization, and storage (CCUS) technologies, including promising field CO2 injection techniques. In the H3 block of China, a large-scale CO2 injection project was implemented for CCUS-EOR. This study focuses on creating a CO2 wellbore flow and heat transfer calculation model for on-site construction guidance. The model utilized the Span-Wagner equation for CO2's unique physical properties and integrated fundamental principles like mass conservation, momentum theorem and energy conservation. Using the finite difference and iterative solving methods, a prediction model for transient temperature and pressure in the CO2 injection wellbore was developed. Verification against on-site measurements showed less than 3% error in pressure and a 5% error in temperature. It was observed that increasing the injection rates led to variations in wellbore pressure and temperature due to the increased frictional pressure drop and enhanced heat transfer between the fluid and the wellbore. Since the physical properties of the fluid and its flow and heat transfer processes within the wellbore influence each other, adopting a temperature-pressure coupled calculation model can effectively improve computational accuracy.
Advanced 4D Geomechanical Analysis in Hydrocarbon Drilling Operations
Authors: Hamid Osman , Alsudairi Nora
Published: November 2023

The application of 4D geomechanics is paramount in addressing challenges faced in hydrocarbon field operations, ranging from exploration to development phases. Its relevance is further accentuated during well-planning in challenging, depleted terrains. This technical discourse elucidates the integration of 4D geomechanical modeling into the strategic planning of well drilling. Leveraging 4D geomechanics facilitates a deeper understanding of subsurface dynamics, allowing for adept well-planning in intricate geological settings.

A pivotal component of 4D geomechanics involves utilizing seismic inversion volumes to delineate geological facies and structure schematics. The primary focus is the robust analysis of wellbore stability to preemptively determine the optimal mud weight window and refine drilling protocols, thereby curtailing drilling-associated risks. This aligns with the overarching objective of ensuring a conducive borehole environment that aligns seamlessly with completion and stimulation prerequisites, optimizing hydrocarbon yield.

Synergetic interactions and a harmonized approach encompassing domains like Drilling, Geology, Geo-steering, Production Engineering, and Reservoir Management underpin the success of the well. It's imperative to ascertain stress shifts across the production lifecycle to preempt and mitigate potential drilling challenges. Recognizing the heterogeneity in rock attributes, tailored 4D geomechanical models have been established. Furthermore, a dynamic reservoir simulation model addresses reservoir pressure diminution over production tenure.

Utilizing datasets from proximate wells, benchmarked 1D geomechanical models were synthesized, and subsequent 3D models were architected through interpolation. Coupling of this static representation with a dynamic simulation spanned multiple years. Detailed geological schematics steered structural deciphering. Additionally, the geomechanical model accurately predicted anomalies like reservoir compaction, subsidence, and sand ingress. Pre-drilling metrics advised optimal mud weight and drilling parameters, bolstering wellbore stability. Post-drilling assessments, supplemented by Image logs, evinced prominent stress vectors and pronounced induced fractures, with interventions using bridging materials fortifying the geological matrix.

This treatise accentuates the potency of 4D geomechanical modeling in scrutinizing wellbore stability, considering variables such as intrinsic stresses, pore pressures, rock resilience, drilling fluid dynamics, and directional drilling imperatives. The precision of geomechanical evaluations has witnessed significant enhancement via the integration of dynamic and static reservoir models. An in-depth exploration of reservoir dynamics augments this reservoir intelligence with the further amalgamation of reservoir models.
Solid Production Prediction in Weak Sandstone Formation Using Finite Element Modeling (FEM) Approaches
Authors: Hamid Osman , Alfaraj Rima
Published: November 2023

Sand production prediction in weak sandstone formations can be challenging due to their heterogeneous nature and varying mechanical properties. This leads to operational issues, including near-wellbore formation damage, reducing hydrocarbon production, and completion equipment damage. This study provides insight into the behavior of weak sandstone formations under different pressures and identifies the key parameters that control sand production in such reservoirs. Furthermore, it investigates the feasibility of using numerical modeling approaches to predict sand production in weak sandstone formations. The results of the FEM modeling indicated that for the three investigation depths, an open hole wellbore filled with gas would collapse and potentially produce enough loose material to fill the wellbore. In the case of a well filled with oil, there is also a potential for collapse, though the volume of loose material produced might not be enough to fill the wellbore. The study contributes to developing more accurate and reliable sand production prediction models and provides a basis for future research in this area.
Lithology Identification Using Drill Bit Sounds from the Lab
Authors: Li W. , AlKawai W. , Mezghani M. M. , Marhoon M. I. , Yang Y.
Published: November 2023

Real time lithology information can tremendously impact drilling by providing input for geo-steering, casing shoe positioning, and subsurface hazards detection. Conventional logging while drilling (LWD) tools typically predict and provide lithology related information at a lag distance behind the drill bit. On the other hand, the sound of the drill bit is generated right at the bit position where it is cutting through the formation rocks. In theory, the sound generated when drilling through different rocks should change in accordance with the stiffness of the rocks. Hence, recording the sound of the drill bit and analyzing its characteristics, such as frequency and amplitude, can reveal information about lithology in real time. A system, hardware and software, is developed to record and process the drill bit sounds in real time. The key challenge in utilizing the sound of the drill bit is minimizing the noise effects generated due to drilling activities especially the rotation rate of the drill bit. We develop methods to minimize the rotation effects and test the methods in the lab settings to determine the optimum method. We then validate the findings from the lab testing with gathered data from a field trial.
Integrated Workflow for Reservoir Management in Mature Waterflooded Reservoir within a Complex Geological Environment: Gullfaks Case Study
Authors: Kareb Ahmed , Dindoruk Birol , Chiboub-Fellah Abd Elaziz , Gareche Mourad
Published: November 2023

Numerical simulators became a standard tool to integrate all the dynamic and static data and the outcome along with the right analysis techniques and experience they are extensively used for decision-making, particularly in field development planning. These tools offer the ability to consider a wide range of control parameters, model complexity, and subsurface uncertainties. In the light of the challenges posed by the Gullfaks oil field, including complex geological structures, a dense fault pattern, and significant reservoir quality variations, this study introduces the application of integrated subsurface technologies to formulate a robust conceptual model. This integrated study explores multiple development strategies by combining all the information on geology, petrophysics/ formation evaluation, and reservoir continuity. We specifically focus on investigating water-flood management, production enhancement, and maximization of hydrocarbon recovery.
The Temperature Effect on Fracture Gradient in Well Containment Analysis
Authors: Souza B.S.P. , Souza C. O. , Cutrim F. S. , Velloso R. Q. , Fontoura S.A.B. , Gonçalves C.J.C.
Published: November 2023

The fracture pressure of a rock in deepwater wells plays a crucial role in well design in several aspects, such as the upper limit of the operational window to avoid loss circulation events during drilling and cementing, pressure relief in confined annuli, and input for hydraulic fracturing projects for stimulation. In such situations, temperature variations are generally low and have little impact. However, in a worst-case discharge scenario, the temperatures involved are considerably higher. This study aims to evaluate the increase in fracture gradient with uncontrolled well production and its subsequent shut-in. Under such circumstances, a potential well fracture can propagate to the seabed, resulting in oil leakage into the environment. After closure, the well will return to geothermal conditions, resulting in a reduction in the fracture gradient. A case study of an exploratory well was conducted, where the fracture pressure was calculated with well heating. A transient analysis of cooling after closure showed that the time required for relief well construction is shorter than the estimated time for a fracture caused by produced fluid.
Imaging Hydraulic Fractures in Laminated Shale Based on Quasi Tri-Axial Loading with In-Situ X-Ray CT Scan
Authors: Ren Lejia , Wang Zhiwei , Jiang Fumin , Sheng Mao , Tian Shouceng , Tan Peng , Chen Zhaowei
Published: November 2023

Shale is a rock with rich bedding structures that impact hydraulic fractures propagation with complex interactions. The X-ray CT scan is an effective approach to observe the interaction of hydraulic fractures with laminated bedding. However, the conventional experiments have been rarely observed the internal of the sample under in-situ conditions with fluid pumping and stress compression. This paper proposed an in-situ X-ray CT scan scheme and setup for hydraulic fracturing experiment with capacity of 2-inch rock cores. The typically continental shale oil rock was selected to be studied which is rich in bedding planes. The interaction phenomenon between bedding weak planes and hydraulic fractures were observed by the industrial CT machine with the resolution of 20 μm length. The results show that the opening degree of bedding weak planes decreases under the in-situ stress with loading axial stress and confining stress. The bedding planes were activated to be opened while hydraulic fracturing pumping at certain conditions, which indicates that the propagation path of hydraulic fractures is simultaneously affected by the joint action of in-situ stress and bedding weak planes.
Indication of Anisotropic In-situ Stress Orientation from Pressuremeter Hold Test
Authors: Liu Lang , Chalaturnyk Rick
Published: November 2023

In-situ stress is considered a key geomechanical parameter in the designs of subsurface engineering projects. Hydraulic fracturing testing, as the conventional in-situ stress determination method used in a deep borehole, can suffer from undesired injection fluid loss and early shear yielding in some geological formations. Pressuremeter testing has been recently considered as an alternative approach to constrain the anisotropic in-situ stress estimates. In this paper, we propose a method to resolve the orientations of the anisotropic in-situ stresses using the borehole creep measured from a pressuremeter hold test. Data from two test cases are evaluated and validate the method. Further interpretation of the in-situ stress magnitudes is possible through the inversion of a borehole creep prediction model. However, some challenges need to be addressed for its application into deep formations.
Reconhecimento facial utilizando transferência de aprendizado e redes neurais
Authors: Silva Julio Cesar Ribeiro , Paula Filho Pedro Luiz de
Published: November 2023

Nas últimas décadas a área de aprendizado de máquina tem avançado rapidamente devido aumento nas pesquisas e no surgimento de novas arquiteturas de redes neurais. Esse documento tem como objetivo apresentar um modelo que utiliza redes neurais para reconhecimento facial para fornecer acesso de indivíduos à sistemas. Para isso serão utilizadas bases públicas misturadas à um conjunto de dados que contenha imagens de novos indivíduos que devem ser agrupados aos outros datasets e identificados individualmente. Inicialmente serão utilizadas duas redes neurais que utilizam Deep Learning para realizar o treinamento VGG e ResNet. Utilizando essas duas redes neurais, será utilizado transferência de aprendizado para realizar um novo treinamento utilizando o banco de imagens adaptadas para o problema.
A Systematic Mapping of IoT Sensor Networks for VANETs supported by Edge Computing for Road Blind Spots
Authors: Menezes Sandro Andrade Monteiro , Trindade Eric Lisboa , Matos Junior Rubens de Souza , Machado Antonio Aliberte de Andrade , Nascimento Bruno Santos , Porfirio Iara Angelino , Cruz Cleide Ane Barbosa da , Santos Marcos Pereira dos
Published: November 2023

As part of a technological evolution, the Internet of Things - (IoT) has been showing changes both in terms of hardware and software. In particular, IoT protocols have brought some differentiated changes by acting particularly on devices with low processing power, low energy consumption and little RAM, these restrictions must be carefully evaluated to guarantee aspects of performance and functionality within the characteristics of this environment. In this way, the present work presents a systematic mapping of literature about the use of sensors to support an anticollision system in VANET (Vehicular Ad-hoc Networks), V2V (vehicle to Vehicle) and V2I (Vehicle to Infrastructure) networks. Through this mapping we also evaluate the use of Edge computing architecture, in order to produce lower latency and consequently a more adequate response time to the needs of the scenario.