bluuebunny/crossref_metadata_2025_split huggingface dataset:
Consistent Egalitarianism or Heterogeneous Belief Patterns? Gender Ideologies in Contemporary East and West Germany
Authors: Kleinschrot Leonie 
Published: November 2024

Abstract
Studying gender ideologies is crucial for understanding the work and family related behaviors of women and men. This paper analyzes the gender ideologies of respondents living in East and West Germany, and whether these belief patterns differ by socio-demographic characteristics. To this end, latent class analysis is applied to eight gender role items from the FReDA 2021 survey. The results show the presence of a consistent and widespread egalitarian gender ideology in both regions, as well as a less prevalent traditional one in the West. Additionally, heterogeneous gender ideologies are to be found with egalitarian essentialism present in both regions, and intensive parenting only in the West. Respondents with a lower level of education and males have higher chances of holding non-egalitarian ideologies. The findings align with the literature on persisting East-West differences in gender ideology, and with research on the diversification of gender ideology.
Apresentação
Authors: Souza Inguelore Scheunemann de 
Published: November 2024

Certamente a Universidade constitui-se no mais adequado e fértil ambiente para transformar conhecimento acumulado em propostas plenas em criatividade e, estas, em desafios. A energia latente contida em um desafio é capaz de, quando apresentado a pessoas e por pessoas inquietas, aquelas que não se deixam vencer pelas dificuldades e problemas presentes no dia a dia institucional, desencadear uma série de acontecimentos que se traduzem em inovações, novas oportunidades para os estudantes e interessantes projetos de interesse da sociedade.
CONTANDO ÀS CRIANÇAS SOBRE O PASSADO NO BRASIL
Authors: Piñon Ana , Funari Pedro 
Published: November 2024

Resumo: O artigo apresenta, numa perspectiva histórica, o tratamento dopatrimônio brasileiro, utilizando-se, em sua análise, de um estudo de casorelacionado a patrimônio e estudantes no Brasil contemporâneo. Abstract: The paper starts by putting Brazilian heritage management inhistorical context, followed by a case study relating to heritage and pupils in thecontemporary Brazil.
ETNOGRAFIA DOS TERRITÓRIOS JUVENIS NA CIDADE
Authors: Rieth Flávia Maria Silva 
Published: November 2024

Resumo:Apresenta-se a etnografia dos espaços de sociabilidade dos jovens nacidade, a qual figura como uma crônica de Pelotas: a Avenida, a Avenida daPraia do Laranjal e o Bar Farol foram os lugares indicados pelos informantes –jovens de 15 a 19 anos de camadas médias. Na Avenida, observa-se o encontrode uma multidão de conhecidos, onde misturam idades e classes sociais,evidenciando as “marcas de pessoalidade” no convite ao olhar o movimento.Distinguem-se os espaços tradicionais daqueles da moda, referências emboracompartilhadas por todos, circunscrevem diferentemente indivíduos e redessociais na cidade. Onde, ganham centralidade os aspectos de geração e gênero,observando-se o pronunciamento do controle sobre os jovens em um contexto de camadas médias do interior. Abstract:The ethnography presents the spaces of intense sociability ofyoung people in the city, which figures as a chronic of Pelotas: the Avenue,Laranjal Beach Avenue and Farol Bar. These places were indicated by theinformers - young people between 15 and 19 years old come from middleclasses. In the Avenue, it notices the meeting with a crowd acquaintances wheremix the ages and the social classes, demonstrating the "personal marks" in theinvitation to take a look at the movement. Traditional spaces distinguish fromfashion spaces. Although everyone shares these references, they constitutedifferently the people and the social network in the city. Therefore, thegeneration and gender aspects become important issues in order to observe thepronounced control of young people in a context of interior middle layers.
A caricaturistic portrait of Ovid from Brigetio (Komárom/Szőny, Hungary)
Authors: Bartus Dávid , Borhy László 
Published: November 2024

AbstractIn 2015 a preventive excavation was carried out preceding the laying of an optical cable in close vicinity to the legionary fortress of Brigetio. An otherwise regular Roman terracotta roof tile was found during the excavation, with the image of a bearded man and the inscribed name of Ovidius Naso. The depiction of the poet leans more towards caricature rather than a realistic portrait, but since we do not know of any ancient representations of Ovid, it is of great importance and fits well into the series of other graffiti on roof tiles from Pannonia.
Versatility of Raman spectroscopy for studies on the back-end of the nuclear fuel cycle
Authors: Elorrieta J. M. , Bonales L. J. , Milena-Pérez A. , Sánchez-García I. , Rodríguez-Villagra N. , Galán H. 
Published: November 2024

AbstractIn recent years, Raman spectroscopy has been proven to be a highly versatile characterization technique for nuclear materials research. This sensitive technique possesses, among others, two relevant features that comply with the safety conditions required when handling nuclear materials: its flexibility allows for remote, in situ and ex situ analysis, and its relative ease of use implies small sample quantities and limited effort for sample preparation. In this work, we present the acquisition protocol and data processing necessary for obtaining important information within the back-end of the nuclear fuel cycle. Specifically, we focus on research studies on the advanced characterization of nuclear fuels and the development of hydrometallurgical separation processes. The results described here were obtained by using different nuclear fuels analogs, but the acquisition protocol and data processing described can be applied to the real nuclear fuel cycle.
Graphical abstract
Credentials for Tomorrow: Micro Neuro Mesh-Based Curriculum Innovations in Petroleum Engineering
Authors: Samuel Robello 
Published: November 2024

AbstractThe transition from the conventional "book smart" paradigm to a more adaptable educational model is imperative in response to evolving industry demands. This study explores the integration of micro-neuro mesh-based credentials into petroleum engineering curricula, aiming to offer flexible learning pathways. By advocating for simplified accreditation procedures and a centralized platform for approved micro-credentials, the research addresses the evolving needs of both education and industry, facilitating effective curriculum design and implementation. The petroleum engineering industry is undergoing significant transformations driven by advancements in technology, evolving market demands, and an increasing emphasis on sustainable practices. Traditional education models must adapt to these changes to effectively prepare graduates for the future. This paper explores the integration of a micro-credentials-based curriculum into petroleum engineering education, offering a flexible, skills-focused approach that aligns with industry needs and enhances student employability.
A Novel Approach to Predict Permeability in Non-Cored Wells and Establish Reservoir Rock-Types in Complex Carbonate Reservoir Using Pore Geometry Structure (PGS): Integrating Petrophysical Properties and Diagenesis in Lower Cretaceous Carbonate Reservoir of Abu Dhabi, UAE
Authors: Kusuma Didit Putra , Farooq Umer , Alsabeai Jawaher , Al Shamsi Latifa , Montani Hiroki , Alshamsi Suad , Makishima Ken , Akbar Muhammad Nur Ali 
Published: November 2024

AbstractThe primary aim of our study was to introduce and validate the Pore Geometry Structure (PGS) approach for predicting permeability in non-cored wells and establishing reservoir rock types. To ensure consistency, this novel method was benchmarked against traditional core-derived permeability measurements and an existing machine learning method (K.mod module).PGS utilizes a constant cylindrical capillary pipes model as the dependent variable, integrating tortuosity and similarity exponent as independent variables to represent complexity. The study analyzed data from four cored wells, totaling nearly 1650 feet, which included 1185 routine core analysis (RCA) samples, 440 mercury injection capillary pressure (MICP) samples, and thin section data. These datasets were quality-checked and used to classify rock types by linking petrophysical groups (PGs) to geological features.Nine PGs were identified for limestone and six for dolomite facies based on MICP parameters, pore throat radius, and the porosity-permeability (phi/k) relationship. The phi/k data were plotted on a PGS diagram, establishing a relationship between pore geometry and structure, as delineated by different line gradients. This analysis resulted in eleven PGS-based rock types with distinct constants. The PGS rock-typing method demonstrated effective clustering, complementing PGs in defining diagenetic processes such as cementation and dissolution. Contingency analysis confirmed a strong correlation (70%) between PGs and PGS rock types.Furthermore, the PGS method's permeability predictions are closely aligned with core data, with 80-90% of predictions falling within the core-derived range. Compared to the K.mod method, the PGS approach exhibited a superior correlation in permeability prediction. This paper outlines a step-by-step process for independently calculating permeability predictions and defining rock types using the PGS approach in complex carbonate pore systems.Our study highlights the practical implications of the PGS approach in complex carbonate reservoirs. It significantly improves precision and reduces uncertainty in permeability predictions for non-cored wells. The PGS rock-typing method also offers an integrated workflow that links diagenetic processes to PG classification, thereby enhancing reservoir characterization.
A Design-Driven Approach to Emissions Quantification through Digital and Domain Integration
Authors: Khan Abdul Muqtadir , Menasria Samir , Drews Timothy , Bannikov Denis , Sukumar Dinesh , Teoh Melissa 
Published: November 2024

AbstractThe energy industry has been taking transformative actions to achieve sustainable growth. Specifically, hydraulic fracturing and associated activities are known to be emissions intensive. The objective here is to develop a digital tool that enables quick, efficient, error-free carbon dioxide (CO2) emissions footprint assessments for various job types. The workflows implemented in the tool cover different phases in the intervention and stimulation life cycle of a well.The application's architecture is composed of generic modular assessments, such as resource utilization, site execution, and post-job activities. The user experience focuses on simple domain workflows in which complex processes are embedded to automate the corresponding emissions calculations. Detailed emissions factors for different fuel types are utilized from US Environmental Protection Agency (EPA) data. The engine first identifies the baseline fuel consumption related to product transportation, equipment mobilization and demobilization, execution at wellsite, and related well cleanup or flaring. The baseline uses historical consumption data, but it goes through a calibration loop based on real-time consumption data tracking. With the emissions factors and fuel efficiency, the second step of the engine is to calculate the CO2 emissions related to the fuel quantity and type. The tool incorporates eight different fuel types and multiple publicly available gas compositions from various basins.The application organically integrates with expansive master data systems such as fluid, proppant, and equipment databases. Moreover, users can seamlessly import design details in one click from other stimulation and intervention design software. Multiple workflows can then be generated to sensitize fluid volume, proppant mass, job type, fuel type, technologies, digital innovations, etc. The current interface captures detailed workflows for conventional and unconventional operations in land and offshore environments. It also supports utilization of an electric fleet. With this digital solution, we are well positioned to (1) accelerate the decarbonizing initiative and (2) position new technology portfolios to transition to cleaner operations. Current implementation showed the impact of technologies such as channel fracturing, retarded acid systems, degradable chemistry, and various predictive models and is positioned to enable smart strategies by integrating sustainability assessment and metrics to drive business growth. Real cases from some geographies show enablement of 20 to 30% emissions reduction.This novel effort is now extended to collaborate with engineering and supply chain teams for real-time measurements, post-job actual emissions calibration, and embodied carbon of material to measure accurately the path to net zero.
Application of a Novel Solids-Free Diverter as an Alternative and Efficient Option to Replace Straddle Packers to Maximize Acid Coverage and Reduce Workover Rig Cost and Intervention Time: Two Case Studies from Iraq
Authors: Tellez J. R. , Doghmi A. , Alarcon X. , Corrales J. , Chuc E. , Masoodi A. , AI ledani K. , Nuñez M. Ramirez , Alvarez J. , Shareef B. 
Published: November 2024

Abstract
The use of straddle packers is a common technique to accurately direct fluid treatments to specific wellbore areas. Once the packers are set, fluid is pumped through the inner diameter of the tool to stimulate the isolated zone between the packers. However, their use can be associated with additional costs, potential downhole tool failure, additional slickline and multi-finger caliper runs, and nonproductive time (NPT). Relative permeability modifiers (RPM) are a cost-effective diverter option to reduce rig and associated equipment costs through the provision of a high diversion-pressure response throughout stimulation treatments.
A field application of a novel solids-free acid diverter (SFAD) system based on the use of RPM technology throughout the stimulation of sandstone formations in Iraq is described. This application used a solutions-oriented software package for complete remediation and stimulation. This novel SFAD decreases matrix-relative permeability to water-based fluid with the use of an ionic polymer, which directs subsequent stages to untreated zones. The water-based acid stages are then forced to other zones, which improves the acid coverage.
This low-viscosity (less than 4 cp) RPM withstands high salinities and adheres immediately to the rock surface, which reduces soak times and makes the polymer suitable for continuous pumping. No special treatment considerations are necessary for this SFAD; it is simply pumped between the acid stages.
SFAD can be used in carbonate and sandstone formations. Two recent treatments performed in a sandstone formation in Iraq that exhibited pressure increments up to 1,000 psi while the diverter was pumped are the focus of this work. The total acid volume was ramped up in two stages with 40/60 diverter ratios.
More than 20 treatments have been performed in Iraq in carbonate and sandstone formations with this novel SFAD. The RPM, recently introduced to optimize well interventions, has demonstrated efficiency in intervals up to 50 m and permeability up to 6 Darcys.
Selecting Injected Viscosity in Polymer Flood Projects: A Controversial and Critical Question
Authors: Delamaide E. 
Published: November 2024

AbstractPolymer injection is now a mature EOR process, and numerous large-scale expansions are currently underway while new projects are being designed all over the world. Curiously, one of the basic design questions still remains highly controversial: what is the optimum viscosity that should be injected? Some practitioners advocate injecting very high viscosities while others advocate just the opposite. The selection of the viscosity to inject has obvious economic implications as it is directly linked to the polymer concentration and thus to the cost of the polymer which can reach tens or hundreds of millions of dollars for large expansions. This paper will explain why the question still remains without a clear answer and will describe the arguments of both camps while outlining the pros and cons of each approach using case studies.The paper reviews the theoretical and practical arguments based on real field experience to help future project designers select the right viscosity for their polymer project. This is a critical issue as this can have an impact on injectivity and economics.The Gogarty method is a theoretical tool to select polymer viscosity, but it is extremely conservative and may lead to over-design. Reservoir simulations have also been used in several cases to justify extremely high polymer viscosities but in some cases field results do not bear out these expectations. The conclusions of this work show that several factors need to be considered when selecting polymer viscosity; beyond injectivity and mobility control which are obvious ones, another important factor is the reservoir layering. Field experience shows that in single layer reservoirs such as those in Canada, lower viscosities can be used but that in cases of heterogeneous, multi-layer reservoirs, higher viscosities are required. However, theory demonstrates that even when injecting infinite polymer viscosity, vertical sweep will remain controlled by the permeability contrasts. Finally practical concerns for expansions should not be forgotten: practical experience in Daqing for instance shows that injecting at high viscosity can cause severe casing and vibration issues, while theory and practical experience in other fields both confirm that produced polymer concentration could cause severe issues in the surface facilities.Reservoir and surface aspects need to be considered with the view that even when designing a pilot, large-scale expansion is the ultimate goal that needs to be kept in sight. Expansions require not only successful pilots but also attractive economics and will present challenges beyond those experienced in a pilot such as separation issues in the surface facilities. The paper will provide some guidance for the design of their future projects and provide the context for making such decisions in the framework of large-scale field projects.
Machine Learning-Driven Prediction of Density and H2-Brine Interfacial Tension: Implications for Underground Hydrogen Storage
Authors: Janjua Aneeq Nasir , Patil Shirish , Kamal Muhammad Shahzad , Ali Muhammad , Tariq Zeeshan 
Published: November 2024

Abstract
Underground hydrogen (H2) storage presents a viable way towards energy transition and meeting the growing energy demand. To achieve the net-zero target and mitigate anthropogenic greenhouse gas emissions, the contribution of H2 as a clean energy source has proved to be an efficient alternative for future use. Interfacial tension (IFT) is a paramount parameter that influences the displacement of H2 and its storage capacity in geological conditions. This paper aims to accentuate the storage of clean H2 at a large scale and leverage robust machine learning algorithms to predict the IFT of H2-brine systems at various thermophysical and salinity conditions.
In this study, predictions of brine density and IFT of H2-brine systems are performed using input features, including, pressures (0.1, 5, 10, 15, and 20 MPa), temperatures (25, 50, and 70°C), and salinities including deionized water, seawater and brines of 1 molar and 3 molar concentrations for various salts (NaCl, KCl, MgCl2, CaCl2, and Na2SO4) from our experimental data. Extensive experimental measurements are recorded and a dataset consisting of 180 data points is utilized. Three robust machine learning techniques, viz., gradient boosting regressor (GBR), extreme gradient boosting (XGBoost), and random forest regressor (RF) are employed to predict the brine density and IFT of H2-brine systems.
Various statistical techniques are employed to initiate this process, and histograms of the input and output parameters are generated. The correlation heat maps are populated with Pearson's correlation coefficient for density and IFT prediction. The relative importance of input parameters with IFT data of H2-brine systems is determined by Pearson, Spearman, and Kendall models. Evaluation of the machine learning results indicates a high prediction accuracy with RF and XGBoost algorithm with a coefficient of determination (R2) value of 99.9% for training and 99.5% for testing data. Root mean square error (RMSE) and mean absolute error (MAE) are subsequently determined.
The findings from this study demonstrate the remarkable accuracy of machine learning algorithms in predicting the density and IFT of H2-brine systems. This study can be effectively utilized further to evaluate the displacement of H2 and storage capacity, reducing the time and cost associated with determining IFT with traditional methods.
Advanced Gas Analysis Meets Geoscience Solution in Norway Field: The Insights of a Holistic Approach
Authors: Arcano N. S. , Vicuna B. , Criollo D. , Caldas P. F. B. , Donnadieu S. , Inversen M. , Ungar F. , Odeh P. R. , Bravo M. 
Published: November 2024

AbstractEquinor has a complex faulted field in Norway with expected different fluid contacts. To maximize the reservoir understanding a geoscience approach is applied for this project. The utilization of Ultra Deep Azimuthal Resistivity (UDAR) technologies is typically sufficient to control the vertical and lateral limits of a reservoir and unveil potential flooded intervals and oil water contacts (OWC). However, the differentiation between oil and gas by just LWD and UDAR data is not possible. This study demonstrates three geoscience areas contributing for early decision making while drilling the Brent Group formation.The cost-effective solution in this project was the implementation of advanced mud gas (AMG) using a constant volume and constant temperature (CVCT) extractor with advanced gas chromatograph to analyze species such as methane to octane. Correction for recycling gas and extraction efficiency correction (EEC) of methane to pentane species were also applied in real time (RT). The gas ratios curves were the first look of the PVT for this well, therefore the gas oil ratio (GOR) prediction based on the model proposed by Yang et al., 2019 were also available and provide reservoir insight while drilling.The High-Resolution ultrasonic image tool was used to detect bedding, fractures and faults planes post-drilling, and in conjunction to UDAR results several diagrams such as Stereonet plot and curtain sections were displayed. Additionally, an ultrasonic caliper tool was used to identify the borehole shape. The sandstone bedding plane orientation showed several trends inside the whole interval and most of these changes were associated with faulted intervals and validated with Geosteering inversion model. The fault system understanding is important in this basin since it contains a western graben created by several faults stepping down preserving Upper Brent.Petrophysical analysis complements and supports the results from AMG, UDAR and borehole image analysis. The basin setup is helpful to understand the fluid distribution in the petroleum system. From a petrophysical viewpoint, water saturation from resistivity logs and neutron-density separation helped to estimate fluid types, and it was validated with AMG. The identification of 300m of water flushed zone, later confirmed by production, shows the holistic methodology implementation allowed a review of the fluid distribution in the well results. This paper demonstrates the contribution of the race to digital transformation and enabled reservoir characterization while drilling.