bluuebunny/crossref_metadata_2025_split huggingface dataset:
JURNAL ONLINE SEBAGAI ALTERNATIF SUMBER PEMBELAJARAN DI IAIN SAMARINDA
Authors: Sari Heisma Yulianita 
Published: June 2022

Abstract: IAIN Samarinda is one of the higher educational institutions that have used online journals in teaching and learning. This article investigates student attitudes and behavior with regard to the use of internet for the search of references that support the discussion in the classrooms and the writing of papers. This study involves 39 students and 6 lecturers from IAIN Samarinda, who gave data through questionaires. The author finds that the majority of respondents from students used internet for learning. This is in line with the use of digital sources by all lecturers interviewed for this study. The majority of student samples also agreed with the use of online journals for the courses they took. This is in line with the practice of most lecturers in the sample that makes compulsory the use of academic articles for assignments. Finally, the majority of the students in the sample also reported that they found online articles suitable for their courses. This study shows signs that digital literacy has began to entrench in IAIN Samarinda. Abstrak: IAIN Samarinda merupakan perguruan tinggi yang mulai menggunakan jurnal online dalam proses pembelajaran. Penulis artikel ini menginvestigasi bagaimana sikap dan perilaku mahasiswa terkait pemanfaatan internet untuk mencari referensi yang bisa mendukung proses diskusi di kelas dan pembuatan tugas kuliah. Penelitian ini melibatkan 39 mahasiswa dan 6 dosen di lingkungan IAIN Samarinda, di mana mereka memberikan data-data melalui angket. Penulis menemukan bahwa mayoritas sampel mahasiswa menggunakan internet dalam proses pembelajaran. Ini sejalan dengan penggunaan materi perkuliahan berformat digital oleh semua sampel dosen. Mayoritas sampel mahasiswa juga menyetujui penggunaan jurnal online sebagai materi perkuliahan dan pembuatan tugas. Ini juga seirama dengan praktik sebagian besar sampel dosen yang mewajibkan mahasiswa merujuk kepada artikel ilmiah untuk tugas kuliah. Mayoritas sampel mahasiswa juga melaporkan bahwa artikel online yang mereka dapatkan dari internet sesuai dengan kebutuhan mata kuliah. Studi ini menunjukkan tanda-tanda bahwa literasi digital mulai menggeliat di kampus IAIN Samarinda.
RAPPROCHEMENT PENDIDIKAN ISLAM DENGAN PENDIDIKAN BEPARADIGMA HOLISTIK: SOLUSI BAGI PROBLEMATIKA PENDIDIKAN ISLAM DI ERA MODERN
Authors: Wulansari Putri 
Published: June 2022

Religious education has a very noble purpose in essence, it is to educate and produce humans who have good character and personality and instill good values contained in religion, as is the goal in Islamic education. However, nowadays Islamic education has changed its goal to become a place to justify God, besides Islamic education which is considered not dynamic makes it the second choice after general education, fundamental changes are very much needed in the process of Islamic education to restore its main purpose. This article explains that true Islamic education leads to the formation of a complete Muslim personality, but the reality shows another reality. Various problems in Islamic education such as dichotomy, pluralism and management systems always haunt the reality of Islamic education in Indonesia. This article intends to make a match between Islamic education and holistic paradigm education. This article finds that a holistic education with three principles, namely connectedness, openness and balance, can demand Islamic education to carry out the purpose of its presence. Pendidikan agama memiliki tujuan yang sangat mulia pada dasarnya, yaitu untuk mendidik dan mencetak manusia yang memiliki karakter dan kepribadian yang baik serta menanamkan nilai-nilai baik yang terkandung dalam agama, seperti itu juga tujuan dalam Pendidikan islam. Akan tetapi, dewasa ini Pendidikan islam sudah berubah tujuannya menjadi ajang untuk pembenaran tuhan, selain itu pedidikan islam yang dianggap tidak dinamis menjadikannya sebagai pilihan kedua setelah Pendidikan umum, sehingga perubahan mendasar sudah sangat diperlukan dalam proses Pendidikan islam untuk mengembalikan tujuan utamanya. Artikel ini memaparkan bahwa pendidikan Islam yang sejati mengarah pada pembentukan pribadi muslim yang seutuhnya, akan tetapi kenyataannya menunjukkan realitas yang lain. Berbagai permasalahan pendidikan Islam seperti masalah dikotomi, pluralisme dan sistem manajemen selalu menghantui realitas pendidikan Islam di Indonesia. Artikel ini bermaksud untuk melakukan kesesuaian antara pendidikan Islam dengan pendidikan paradigma holistik. Artikel ini menemukan bahwa pendidikan holistik dengan tiga prinsip yaitu keterhubungan, keterbukaan dan keseimbangan, dapat menuntut pendidikan Islam untuk melaksanakan tujuan kehadirannya
Factors associated with compliance in implementing health protocols to prevent COVID-19 in Indonesia: A cross-sectional study
Authors: Erawati Ambar 
Published: June 2022

Introduction: To prevent the COVID-19 spread, the government requires people to comply with health protocols in public facilities, namely by wearing masks, washing hands and keeping a distance. This study aimed to determine what factors affect and reason for compliance in implementing health protocols.

Methods: This research was an analytical survey research with a cross-sectional design conducted in Semarang City, Indonesia, with a total sample of 400 respondents. The independent variables were age, education, occupation, and health status. The dependent variable was compliance in wearing masks, washing hands and keeping a distance. Data were analysed with logistic regression test with significance level of 0.05.

Results: From the survey, 76.6% of respondents obeyed wearing masks, 57.4% of respondents obeyed to wash their hands and 71.1% of respondents obeyed to keep their distance. The backward type logistic regression test found that the factors associated with health protocol compliance were age, education, occupation, health status, existing regulations and the desire to maintain health with a significance value of <0.001. However, field of work was not associated with using masks (p = 0.273), while health status was not associated with handwashing habits (p = 0.344).

Conclusions:
Factors that are associated with respondents' compliance with the health protocol are age, education, occupation, health status, self-motivation and regulation. The government need to raise awareness on adhering health protocols through the promotion about healthy lifestyle.
Factors associated with the implementation of COVID-19 health protocols among Indonesian older adults living in rural areas: A cross-sectional study
Authors: Maurida Nurul , Prestasianita Putri  , Rosalini Wike 
Published: June 2022

Introduction: Implementing health protocols became a challenge for older adults living in rural area. This study aimed to analyze the factors influencing implementation of COVID-19 health protocols among elderly in rural areas based on the Theory of Planned Behavior (TPB).

Methods: This study used an explanatory survey with cross-sectional approach. The sample consisted of 100 older adults who resided in rural areas. Data were collected using the TPB questionnaire and COVID-19 health protocol questionnaire, both have 21 items. The data were analyzed using bivariate and multivariate analysis. Bivariate analysis used Pearson correlation, Chi-square test, and Fisher’s exact test. Multivariate analysis used multiple linear regression with a level of significance = 0.05. The independent variables were attitude toward behavior, subjective norm and perceived behavioral control while the dependent variable was the implementation of COVID-19 health protocols.

Results: Gender (p < 0.001), age (p < 0.001), employment status (p < 0.001), attitude toward behavior (p < 0.001), subjective norm (p < 0.001) and perceived behavioral control (p < 0.001) were significantly associated with the implementation of COVID-19 health protocols, while education level (p = 1.000) was not significantly associated with the implementation. The R-square shows 0.610 which indicates that TPB model can predict 61% of implementation of COVID-19 health protocols.

Conclusions:
The most dominant factor in increasing the implementation of the COVID-19 health protocol is attitude toward behavior. Nurse need to provide education to elderly and their family to increase the implementation of COVID-19 health protocols as prevention of transmission of COVID-19.
A Brief Summary of Seventy Years of Well Test Analysis
Authors: Gringarten A. C. 
Published: June 2022

Abstract

Objectives/Scope
Transient well test analysis has been used to assess well condition and obtain reservoir parameters for over seventy years. At a time when Machine Learning (ML) and Artificial Intelligence (AI) are coming-of-age and may eventually replace well test interpreters, it is worth taking stock of the progress made in well test analysis since the major initial publications of the early 1950's.

Methods, Procedures, Process
Major improvements in well test analysis since the early 1950's have occurred approximately 13 to 19 years apart, driven by the availability of both new types of data and new mathematical tools. Using a computer-generated data set of pressure and rate, we illustrate the evolution of well test analysis over the years: straight line methods of the early 1950's; log-log pressure plots of the late 1960's and early 1970's; formulation of an integrated methodology in the early 1980s; introduction of pressure-derivative analysis in 1983; derivation of a stable deconvolution algorithm in the early 2000's; and its current, successful extension to multiple interfering wells.

Results, Observations, Conclusions
Over the last seventy years, well test analysis has moved from just estimating well performance to becoming a very powerful tool for reservoir characterization.

Novel/Additive Information
Although the development of commercial software has been a factor in making practicing engineers aware of these improvements, acceptance has been slow: deconvolution has been developed twenty years ago and has been included in commercial software for the last fifteen years, yet is still not used in routine well test analysis. In addition, interest in well test analysis seems to be fading, which is in sharp contrast with its popularity in 1970's, as measured by the attendance to the well test analysis sessions in the annual ATCE meetings. It is hoped that the new advances in ML and AI will reverse this trend and reinstate well test analysis as a major reservoir characterization tool.
Fly Ash Nanoparticle-Stabilized Emulsions for Improve Mobility Control Application
Authors: Wang Wuchao , Dong Xiaohu , Liu Huiqing , Peng Yan , Chen Zhangxin , Li Yu , Guo Yunfei 
Published: June 2022

Abstract
Nanoparticles have demonstrated their capacity to increase emulsion stability by forming what is known as a Pickering emulsion, which is predicted to improve EOR processes by improving conformity control. The goal of this work is to develop a novel way of beneficially utilizing the main waste product from coal power-generation plants - fly ash - by generating fly ash nanoparticle-stabilized emulsions for improved mobility control, especially under high-salinity conditions.
First, the ball-milling method was used to decrease the grain size of fly ash, which was too big for injection into reservoirs. Second, fly ash nanoparticles were used to measure the synergy between nanoparticles and surfactants in the creation of oil-in-brine emulsions. Third, the emulsion stability was tested using a microscope and a rheometer with three different surfactants (cationic, nonionic, and anionic). Finally, oil replacement experiments were conducted using intra-formation heterogeneous cores to investigate the recovery enhancement effect of in situ injection of fly ash nanoparticles and cationic surfactant (CS).
Thermally treated fly ash (TTFA) nanoparticles with an average size of 150 nm were produced using nano-milling and thermal treatment techniques. The use of either a cationic or nonionic surfactant in conjunction with nanoparticles resulted in strong and stable emulsions. The cationic surfactant had the greatest synergy, while the anionic surfactant had the least, indicating that electrostatic interactions with the surfactant and the liquid/liquid interface were key factors. The in-situ emulsion formed by the fly ash nanoparticles and the cationic surfactant (FA-CS) produced an additional 8.5 % of the original oil in place (OOIP) recovery after waterflooding. This indicates that the emulsion has better mobility control performance and higher crude oil recovery.
This study not only has the potential to minimize the amount of surfactant used for emulsion-based EOR mobility control of fly ash nanoparticles but also to sequester fly ash in the subsurface strata.
Multi-Parametric Optimization of Multilateral Wells for Optimum Reservoir Contact
Authors: Al-Ismael Menhal Abdulbaqi , Al-Turk i Ali Ahmad , Al-Saffar Ali Husain 
Published: June 2022

Abstract
As the oil and gas industry is continuously pushing boundaries of exploiting resources, it becomes more of a mandate to model and optimize forefront technologies. Multilateral wells are one example of a prevalent technology to maximize reservoir contact and return on investment. Optimum design and placement of this type of wells is significant. This work presents a multi-parametric optimization approach that optimizes the design of multilateral wells and maximizes the contact with highly productive hydrocarbon zones in the reservoir. Given a number of input parameters, the design and placement of multilateral wells is modeled using the Graph Theory principles and is optimized using Mixed Integer Programming (MIP) algorithms. The objective function is defined in this work as maximization function of the Total Contact with Sweetspots (TCS). At first, multiple main wellbores are optimized globally across the field and then several local optimizations are performed around each main wellbore to place the laterals. This optimization is subject to a number of input constraints, such as the maximum number of laterals, minimum spacing between wells, and maximum lateral length. Different sets of uncertainty parameters are generated using Latin-Hypercube Sampling (LHS) technique and used as input constraints in multiple well design realizations. In this work, the SPE10 benchmark model with 4 million grid cells and 10 existing producer wells was used. MIP was used in this work to optimize the initial geometry and placement of 20 new multilateral producers while LHS was used to fine-tune well configurations. Using TCS as the objective function in this multi-parametric optimization approach dramatically reduced the number of numerical simulation runs. The multi-parametric optimization generates multiple realizations with different sets of multilateral wells with different configurations. Numerical results from the benchmark model revealed the optimum solution with maximized hydrocarbon production. This resulted in a more practical approach to simultaneously optimize the placement of multilateral wells in large simulation models. In addition, the results reveal that the design, placement and performance of the new wells are highly sensitive to the sweetspot maps and reservoir heterogeneity. Using TCS as the objective function resulted in avoiding the excessive use of numerical simulation and cutting down the turnaround time for optimizing the design and placement of multilateral wells. In addition, the global and local optimizations used in this approach significantly simplified the mathematical formulation and avoided complex network modeling and optimization for multilateral wells.
Temperature Transient Modeling and Analysis for Hydraulically Fractured Wells
Authors: Onur Mustafa , Gul Kiymet Gizem 
Published: June 2022

Abstract
In this work, new analytical sandface temperature solutions are developed for linear flow towards an infinite-conductivity hydraulically fractured well producing under specified constant-rate or constant- bottomhole pressure (BHP) production. The solutions apply for slightly compressible, single-phase undersaturated oil reservoirs with irreducible water saturation or liquid-dominated geothermal reservoirs. They include the effects of conduction, convection, the Joule-Thomson expansion of fluids and adiabatic expansion of the total rock and fluid system, and fluid loss fracture damage. They neglect the variation of rock and fluid properties with pressure and temperature so that pressure diffusivity and thermal energy balance equations are decoupled to obtain the analytical linear-flow temperature solutions using Laplace (for constant-rate) and Boltzmann (for constant-BHP) transformations. To validate the analytical solutions, a numerical solution is developed to solve the mass and thermal energy balance equations simultaneously and account for the variation of rock and fluid properties with pressure and temperature. We proposed a correction to fluid viscosity variation as input for the analytic solutions. The numerical and analytical solutions have been compared and verified with a commercial thermal reservoir simulator. Results indicate that the fracture surface temperature is decreasing with a square of time for constant-rate production but is constant for constant BHP production. The temperature responses for both modes of production are controlled by the adiabatic expansion of the rock and fluid properties and the thermal diffusivity of the rock. The effect of thermal conductivity plays a significant role for both production modes as the matrix permeability decreases. The fracture damage has different signatures on temperature transients at early and late times for both modes of production. The approximate analytical solutions show the information content of temperature transient data acquired from an infinitely conductive hydraulically fractured well under matrix linear flow. They are simple and can be used to perform matrix linear flow analysis jointly with pressure and rate transient data to estimate the thermal and mechanical properties of the rock and fluids. The numerical solution can be used for a more general analysis procedure based on automated history matching for constant as well as variable rate and pressure production test sequences.
Global Demand of Nonmetallic Applications in Construction
Authors: Al Qubali Abdulaziz Kamal 
Published: June 2022

Abstract
The global market in construction is forecasts a demand growth for nonmetallic applications to replace conventional metallic materials. of the current produced plastic, around 367 million tons, 20.4% of this demand is utilized in building and construction. According to research on European demand, these numbers will continue to grow over the next decade, especially for polyethylene, polypropylene and polyvinyl chloride (PVC). Different applications have already proven their efficiency in terms of OPEX and sometimes CAPEX as well. This dramatic growth in the plastic market will lead to supplying these materials to different markets, which will result in more nonmetallic applications for the construction sector.
Experimental and Modeling Study of the Effects of CO2 Injection on Gas/Condensate Recovery and CO2 Storage in Gas-Condensate Reservoirs
Authors: Wang Wuchao , Liu Huiqing , Dong Xiaohu , Chen Zhangxin , Li Yu , Sun Lei , Yang Farong 
Published: June 2022

Abstract
The mixing/interaction between injected gas and remaining reservoir fluid is yet to be extensively understood and the inability to optimize the recovery process has led to limited pilot trials. Therefore, adequate phase and flow behavior analyses and modeling are necessary to better evaluate reservoir performance under CO2 injection to make an informed decision.
In this work, the phase behavior, and the minimum miscible pressure (MMP) have been experimentally conducted to determine the level of CO2/gas-condensate interaction, including condensing/mixing/vaporizing mechanisms. Moreover, the unsteady-state flow tests were conducted to study flowing characteristics and performance. Based on these studies, the CO2 injection numerical model was constructed using a component model reservoir simulator (GEM) to simulate the effects of injection rate, injection pressure, and injection volume on gas/condensate recovery and CO2 storage. Finally, the stability of CO2 storage was evaluated using numerical simulation of the reservoir.
The results were analyzed and found that the phenomenon of "critical opalescence" occurred when a certain proportion of CO2 was injected into the residual condensate oil and gas system, which meant that CO2 and condensate were mixed as one phase. Factors such as injection pressure, injection rate, and injection volume have a very important influence on the degree of condensate recovery. Only considering the influence of single factor conditions, the higher the injection pressure or gas injection volume or injection rate, the higher the degree of condensate recovery and the greater the potential of CO2 storage. However, based on comprehensive consideration of oil displacement rate and gas channelization, reasonable gas injection speed, injection volume, and injection pressure were finally optimized and screened out as 7000 m3 /day, 0.43 HCPV, and 32 MPa, respectively. The formation pressure was almost constant from 80 years to 130 years, which indicated that CO2 can be deposited stably.
The study bridges the gap between the extent of CO2/gas-condensate interaction at pressures below the dew point pressure and conflicting reports on this trend. This paper also provides a better knowledge of the governing mechanisms during CO2 injection, which are required for designing suitable CO2 flooding injection for reservoir engineering applications.