bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ultrafast Multiphase Production Forecasting for Large Gas Condensate Shale Reservoirs
Authors: Elkady Mohammad , Misra Siddharth , Odi Uchenna , Meehan Nathan , Silver Andrew , Reddy Karri , Temizel Cenk 
Published: October 2023

ABSTRACT
Accurate production forecasting is essential for effective field development. Conventional techniques such as numerical simulations, reduced-order modeling, and decline curve analysis often require complex physics, detailed calibration, and significant parameter assignments, resulting in time-consuming and computationally challenging processes, especially for large, high-resolution geomodels. To address these limitations, we present a novel machine-learning-assisted modeling technique for rapid and accurate production forecasting. Our approach involves extreme geomodel compression, reducing the size by a factor of 20000, followed by machine-learning-based forecasting. We developed a multi-attribute, multi-layer shale geomodel compression technique utilizing dimensionality reduction. This method efficiently compresses large, heterogeneous shale geomodels into low-dimensional representations. Subsequently, a neural network model is trained to process the compressed representations along with completions and production parameters, enabling simultaneous prediction of monthly condensate and gas production rates over a 5-year decline period for hydraulically fractured shale wells. The forecasting workflow is evaluated on 3000 realizations of hydraulically fractured horizontal well placed in a complex heterogeneous shale reservoir. Each realization represents a condensate shale reservoir consisting of 88200 grid cells with spatially heterogeneous distributions of porosity, permeability, and connate water saturation. Our production forecasting method is evaluated using well-known metrics, including mean absolute error (MAE) normalized with respect to the target range (NMAE) and mean absolute percentage error (MAPE). Production forecast achieved an average NMAE and MAPE of 0.008 and 3.75%, respectively for the gas rate, in addition to NMAE and MAPE of 0.007 and 2.84% respectively for the condensate rate, confirming accurate predictions throughout the 5-year decline period. Furthermore, our workflow demonstrated significant efficiency gains, with forecast generation taking a mere 0.1 seconds after model training compared to over 10 minutes using commercial software. The model-building stage, including geomodel compression and hyperparameter tuning, required approximately one hour, depending on data complexity. Our methodology offers a valuable tool for economic evaluation, history matching, and production forecasting of both conventional and unconventional assets.
Innovative Submarine Solution for Overcoming Challenges in Offshore Oil and Gas Operations
Authors: Ali Mena G. , Hegazy Gehad M. , Atef Abdelaziz , Ali Maryem. G. 
Published: October 2023

Abstract
The research proposes an innovative strategy that intends to discuss the difficulties in oil and gas operations in the sea. However, this paper offers a new idea as a creative idea for those difficulties. Operating in the sea is significantly more complex and challenging because the environment there is known to be unstable and inappropriate. It is far more stable to have the ability to explore, drill, and produce underground resources from below. Thus, equipping a submarine with all the drilling equipment could be helpful.
The proposed solution suggests equipping a submarine with all the necessary drilling equipment to conduct oil and gas operations below the sea surface. Technology has successfully influenced our industry in the past. Success comes in those three areas: production, HSE, and cost optimization.
Every engineer wants to create successfully under risk-free, cost-optimized conditions as submarines descend and can get closer to the sea bed. This facilitates easy access to any of the processes. Through exploration, the submarine could get a better eyeshot for the seismic surveys as it could provide a more comprehensive scan. This makes it possible for any process to be performed quickly. Through exploration, the submersible might provide a more extensive scan and acquire a better sight for seismic surveys.
Using a submarine for offshore oil and gas operations offers several advantages. Firstly, a submarine can operate in deep-sea or remote areas that are not accessible by traditional platforms, providing access to untapped reserves. Secondly, the stability of the underwater environment minimizes the risks associated with extreme weather conditions, reducing downtime and safety hazards. Thirdly, a submarine can be easily relocated to different locations, providing flexibility and adaptability to changing operational requirements.
The research proposes an innovative strategy that utilizes submarines to overcome offshore oil and gas operations difficulties. By leveraging the stability and safety of the underwater environment, equipping a submarine with drilling equipment could provide a creative solution for exploring, drilling, and producing oil and gas resources more efficiently and environmentally responsibly.
Further research, development, and collaboration among stakeholders, including governments, oil and gas companies, and environmental organizations, would be necessary to realize the full potential of this innovative approach in offshore energy operations.
Estimation of Corrosion Rate for Ruptured Subsea Pipeline With Electrochemical Measurement
Authors: Mizukami H. , Sunaba T. 
Published: October 2023

Abstract
The effects of the DO concentration and salinity on corrosion behaviour of carbon steel were investigated by electrochemical measurements to estimate corrosion rate simulating ruptured subsea pipeline. Corrosion rates decreased as the DO concentration decreased. When the salinity increases, the solubility of oxygen in the water decreases. Therefore, corrosion rates of higher salinity conditions were lower than that of lower salinity conditions. The corrosion rate significantly increased due to the presence of CO2. Not only repair but also replacement of pipeline should be considered in the case the pipeline is ruptured at the section with high corrosion risk.
Reinvigorating Climate Change Education in Universities a Social Transformative Agenda
Authors: Khalo Xolani , Damoah Benjamin 
Published: October 2023

The global community is faced with environmental threats due to climate change. The problematic process of societal transformation involved in responding to climate change. Reviving climate change education in educational institutions can provide a strong impetus for societal change. Future leaders, professionals, and citizens are significantly shaped by the knowledge, attitudes, and abilities they acquire in universities. This paper then sought to unpack strategies employed by universities to advance climate change education. Transformational paradigm and social change theory are the underlying philosophical view for this paper. Curriculum integration, a holistic approach, experiential learning, community engagement, faculty development, campus sustainability, policy advocacy, developing student leadership, partnerships, and collaborations are some approaches to reviving climate change education that came to light from the paper. By implementing these approaches, universities may position themselves as hubs for climate change education, research, and action, raising a generation of conscious, involved, and equipped individuals ready to lead societal transformation in the direction of a sustainable future.
Did Feminism Become the Mainstream in Jane Austen’s Work?” “Does Feminism Lies In Jane Austen Emma?”
Authors: Deebigasree A. 
Published: October 2023

Feminism is about the equality of every women in the independent society. Feminism has many types on it but it is mainly classified as three major categories they are, i) Main stream / Liberal ii) radical iii) cultural. The plot line of Jane Austen Emma does not comes under feminism because this play is about the mismatching of pairs which is guessed by Emma. In this novel we can’t able to see the dominance of male gender towards women. Women also given right to enhance their own decision. Emma was the last published novel of Jane Austen , novel of manner genre has be used in this novel. At the second part of 18th century, Jane Austen used novel of sensibility in her work. She used irony, indirect speech style and also about realism. All Jane Austen’s novel female characters will be brave, bold, strong and ultimately, they will not be liked distorted characters. And also, they will live in every incident of the novel. In Jane Austen novel women will be playing the leading role rather then men, they will be given major preference. In 1973, According to “EDNA STEEVES” Jane Austen was not a bold woman because she never closely examined the social situation. Does Jane Austen belong to feminist writer?
Oeste brasileiro
Authors: Naxara Marcia Regina Capelari 
Published: October 2023

“Do túmulo de Fernão Dias às cabeceiras do Xingú” foi o título com que o jornal A Noite, em agosto de 1943, noticiou a empreitada que veio a ser conhecida como Expedição Roncador-Xingu, com a finalidade de criar vias de comunicação e promover o povoamento das vastas regiões interiores do Brasil. Reportagem que utilizo para pensar algumas construções sobre os extensos territórios – além de Tordesilhas – buscando perscrutar imagens e caminhos narrados em processo contínuo de construção e reconstrução de imaginários sobre seus espaços.
Reacender ao Orientalismo
Authors: Garcia Ferreira Marina 
Published: October 2023

Quarenta e cinco anos após a publicação de "Orientalismo", de Edward Said, a emergência intelectual de debates pós-coloniais não chegou ao fim. Reinventando-se por novas perspectivas, novas categorias surgiram nas últimas décadas inseridas no interesse das humanidades de refletirem sobre conexões, contatos, hegêmonias, dominação, histórias e poderes. Diante de múltiplas linhas: "Pós-colonial", "Estudos subalternos", "Estudos decoloniais", "Epistemonologias do Sul", "História conectada", "História transnacional", "História global" entre tantas outras vertentes em discussões contemporâneas, o Orientalismo é retomado (ou reacendido) como campo de estudos pela publicação do antropólogo espanhol José Antonio González Alcantud, "Qué es el orientalismo. El Oriente Imaginado em la Cultura Global". Em parte como análise de campo de estudo por intermédio das tendências mundiais, e em parte como expansão de objetos de estudos dos quais alcança o Orientalismo, González Alcantud, por trás de um título em questionamento, expõem suas considerações a respeito do conceito e suas aplicações em espaço amplo. Assim, esta resenha se propõem analitica sobre o alcance de suas considerações, seus objetos ditos globais e sua argumentação frente a um tema atual e em disputa ainda em nosso tempo presente.
Musealización de la guerra
Authors: Bornacelly Castro Jaime Alberto , Mazzucchi Ferreira Maria Leticia 
Published: October 2023

En este texto, discutimos las relaciones entre memoria colectiva, conflictos de memoria y emprendimientos de memoria a partir de las reivindicaciones memoriales y victimistas de los militares colombianos en el marco del conflicto armado interno y los acuerdos de paz. Para este análisis, se utilizaron las narrativas construidas por el El Centro de Investigación en Memoria Histórica Militar -CIMHM- (Bogotá) y La Casa de Memoria Histórica de San Vicente y El Carmen de Chucurí (Norte de Santander). La metodología utilizada en esta investigación es de corte hermenéutico y fenomenológico, ya que utilizó instrumentos interpretativos de narrativas, experiencias documentadas y el trabajo de campo. Uno de los principales aportes del estudio, es el carácter no sólo conflictivo de la memoria pues se tratan de narrativas sobre el pasado en tensión, sino el carácter abierto, productor y en diálogo de la memoria con otros dispositivos locales y transnacionales como los museos, los memoriales, los archivos y las conmemoraciones.
Research on human resource allocation management of enterprise information project construction
Authors: Guan Zhaoxin 
Published: October 2023

Abstract
Strengthening the management of science and technology resources and improving the intensive management of science and technology resources is a shortcut for the development of traditional industries to informatization. This paper analyzes a series of problems in human resource allocation by studying the current situation of enterprise informationization project implementation and constructs a human resource management system in informationization project implementation by combining relevant theoretical systems. The system uses the key chain method to find capacity-constrained resources and takes resource balancing measures, which can solve the multi-project resource allocation problem where the types and quantities of available resources have been determined. To ensure the convergence and uniform distribution of the resource allocation solution space, an orthogonal design method is used for the initialized population, and the solution space is expanded without significant changes in production costs and benefits compared to the original reference solution. After the enterprise used the system improvement, in the enterprise recruitment sales class, technical class, and administrative class onboarding rate increased by 13.2%, 57.3%, and 19.7%, respectively, the overall onboarding rate increased by 46.9%, the enterprise overall staff turnover rate reduced from 47.2% to 27.3%, technical class employees both time incentive ratio exceeded 60%. It can be seen from the information technology project that technical talent introduction, as well as technical team building, strengthening personnel training efforts, and establishing a reasonable incentive assessment system, can effectively improve the project team’s human resources management level.
Intelligent financial eco-management model based on perceptron model
Authors: Deng Xiaoyan 
Published: October 2023

Abstract
The intelligent financial eco-management model is studied to help enterprises realize financial information transformation and enterprise digital transformation. Starting from the perceptron model, this paper describes the basic artificial neurons that make up the perceptron and introduces the structure and construction process of the multilayer perceptron model. To realize the optimal parameter selection of the multilayer perceptron, the basic principle of the Bayesian optimization algorithm is introduced, and the parameters of the multilayer perceptron model are optimized using this algorithm, which leads to the BOA-MLP evaluation model. The intelligent financial eco-management is explained, including the connotation, construction requirements and practical significance, and the data analysis of the intelligent financial eco-management model is carried out using the BOA-MLP evaluation model. From the smart financial eco-management model perspective, the most popular among enterprises is the capital pool model, accounting for 59.91%. From the financial level, the average percentages of A, B, C and D evaluations are 46.99%, 29.45%, 14.61% and 8.95%, respectively. The overall percentage of evaluations at grade C or above at the management level was 94.04%. This indicates that the intelligent financial, and ecological management model based on the BOA-MLP evaluation model should be based on the capital pool model, which can realize the financial, and ecological management information more effectively.
The influence of social network on innovation and entrepreneurship of economic and management college students based on adaptive particle swarm algorithm
Authors: Huo Yan 
Published: October 2023

Abstract
Exploring the influence of social networks on innovation and entrepreneurship of economics and management college students to help them better enhance their innovation consciousness to face the future social workplace. In this paper, the particle swarm algorithm is optimized according to the strategy and parameter adaptive mechanism, and the SPS-PSO algorithm is used to initialize and update the population. The social network and innovation and entrepreneurship ability of university students in economics and management are introduced, and feature selection based on strategy and parameter adaptive particle swarm algorithm is utilized. The index mining of social network and innovation and entrepreneurship ability of college students is conducted, and the data analysis of innovation and entrepreneurship ability of college students in economics and management is carried out with the example of the University of S. From the social network, the percentages of those who agree with the validity of social network centrality, heterogeneity, dynamics and linkage strength are 71.56, 71.69%, 72.55% and 71.16%, respectively. From the perspective of innovation and entrepreneurship, the overall percentage of college students in economics and management who agreed was 69.27%. This indicates that the higher the integrity of the social network structure of economics and management college students, the more it can enhance innovation and entrepreneurship abilities and promote the cultivation of observation and judgment ability and divergent thinking abilities of economics and management college students.
The challenges of ideological and political education in universities in the era of big data and its optimization path
Authors: Chen Mengtian , Huang Zeping 
Published: October 2023

Abstract
How to propose effective solutions for ideological and political education in colleges and universities to adapt to the development requirements of the new era is an urgent problem to be solved. In this paper, we first study the data mining algorithm Bayesian network and describe the components of the Bayesian network. Then the parameter learning of Bayesian networks is discussed in depth, and the conditional probabilities of each node in the network are calculated by counting the prior probabilities of relevant variables according to the structure graph and the corresponding training set. Then based on the structure learning, the optimal Bayesian network is selected based on the search and conditional independent testing methods. Finally, the current situation of modern ideological and political education is described in terms of students’ learning paths, learning purposes, and the problems of ideological and political education, and suggestions for optimal reform are made. Regarding learning motivation, 48% of the students said they study for school requirements and credits and 10% for establishing correct social values. Regarding problems, 67% said the teaching format is not rich, 90% said the teaching presents utilitarianism, and 83% said practical awareness is not strong. It is important to seek effective paths to enhance ideological and political education.
A Study on the Application of the Internet Teaching Model in College English Reading Teaching
Authors: Liu Nian 
Published: October 2023

Abstract
This paper first constructs an Internet online learning path and regards the online learning resource learning path planning problem as a single-objective optimization problem transformed by multiple objectives while solving for the minimum values of four objective functions. A complete learning path is constructed by sorting from the smallest to the largest according to the values of the requested functions. Then the planning process and method of learning path are introduced, online learning resources are initialized by using MIFMM, and the MIFMM-PPA online learning path planning method is proposed. Then the teaching model of English reading on the Internet is elaborated, and its teaching objectives are clarified. Finally, the effects of the Internet teaching model on student achievement, student ability, and learning hope behavior are explored. In terms of student ability, there was a significant difference in students’ problem solving ability before and after the experiment (Sig=0.023, Sig<0.05), and there was a significant difference in students’ information literacy before and after the experiment (Sig=0.047, Sig<0.05). Regarding the changes in reading ability, 72% of the students were able to overcome shyness and anxiety in English learning, 20% of the students were able to overcome shyness and anxiety sometimes, and 8% were less able to overcome shyness and anxiety. Therefore, the Internet teaching mode significantly impacts the development of the English reading ability of college students.
The application of digital media art in film and television animation based on three-dimensional interactive technology
Authors: Gao Yang 
Published: October 2023

Abstract
As an emerging product of the rapid development of science and technology in the era of big data, digital media art is the application of various technologies, such as computer processing and digital special effects in film and television animation creation. This paper firstly takes digital media art as the research base and discusses the path of advancing digital media art in film and television animation. Secondly, the Web 3D interaction technology in digital media art is applied to the model building and animation generation of film and television animation, and the human body movements are captured to get the form reconstruction to generate SMPL human model parameters. Finally, a three-factor repeated measurement experiment and ablation experiment verified the feasibility and effectiveness of applying digital media art to film and television animation. The results show that the interaction of AOS and TT has a significant main effect on the total interaction time MT and F(15,43.213) = 62.329. In the ablation experiment, the increase points are 1.98, 1.63, and 1.52, which are greater than 1.5 on average. The application of digital media art to film and television animation proposed in this paper verifies the scheme’s feasibility through the ablation experiment and the three-factor repetition test. It also lays the foundation for the international development of Chinese film and animation.