bluuebunny/crossref_metadata_2025_split huggingface dataset:
POLA PENINGKATAN SUHU UDARA BERDASARKAN DATA BMKG DAN ERA5 DI PROVINSI SULAWESI TENGAH
Authors: Alfiandy Solih , Rangga Imron Ade , Permana Donaldi Sukma 
Published: June 2022

Studies on the trend analysis of surface air temperature have never been conducted in Central Sulawesi Province. This study aims to determine changes in the average surface air temperature trend in Central Sulawesi Province period 1981 to 2019. Linear regression analysis is used to identify the trend of temperature changes over a certain period. The results show that the average surface air temperature is significantly increased by 0.015 –0.045°C per year (p < 0.05). The results provide the information on climate change analysis that the average surface air temperature has increased in Central Sulawesi Province over 39 years.
Time-Sensitive Characteristics of Bedding Shale Deterioration under the Action of Drilling Fluid
Authors: Changhao Wang , Ling Zhang , Shibin Li , Huizhi Zhao , Kai Liang , Xiaoming Wang , Chunhua Wang 
Published: June 2022

Abstract
Fractures continuously extend and expand along bedding shale formations under the action of drilling fluid and eventually form a complex fracture network, which greatly reduces the strength of the rock. To determine the effect of the drilling fluid action time on the physical and mechanical properties of shale, nuclear magnetic resonance tests are carried out on shale soaked in oil-based drilling fluid for different soaking times. The fluid absorption rate of shale takes the form of a power function. The equations relating the shale mass, porosity, and permeability to soaking time are established. Then, in a sonic time-difference test, the change in the dynamic elastic parameters with the immersion time are observed. According to a triaxial strength test, the failure form and the deterioration degrees of the layered shale in different loading directions with immersion time are analyzed. Numerical simulation of the deterioration degree of shale under different water content conditions is carried out. When the water content increases, the collapse density of the surrounding rock of the well wall increases significantly. Finally, considering the anisotropy of bedding shale, the inclination angle, azimuth angle, and drilling fluid immersion time are substituted into the rock mechanics parameter deterioration model, the three pressure profiles of the formation are corrected, and the safe drilling fluid density window of the target interval is given.
Hydrogen Storage to Decarbonize Austria's Energy Consumption
Authors: Clemens Marcel , Clemens Torsten 
Published: June 2022

Abstract
The European Union is aiming at reaching greenhouse gas (GHG) emission neutrality in 2050. Austria's current greenhouse gas emissions are 80 million t/year. Renewable Energy (REN) contributes 32 % to Austria's total energy consumption. To decarbonize energy consumption, a substantial increase in energy generation from renewable energy is required. This increase will add to the seasonality of energy supply and amplifies the seasonality in energy demand. In this paper, the seasonality of energy supply and demand in a Net Zero Scenario are analyzed for Austria and requirements for hydrogen storage derived.
We looked into the potential usage of hydrogen in Austria and the economics of hydrogen generation and technology and market developments to assess the Levelized Cost of Hydrogen (LCOH). Then, we cover the energy consumption in Austria followed by the REN potential. The results show that incremental potential of up to 140 TWh for hydropower, photovoltaic (PV), and wind exists in Austria. Hydropower generation and PV is higher in summer- than in wintertime while wind energy leads to higher energy generation in wintertime. The largest incremental potential is PV, agrivoltaic is significantly increasing the area amenable for PV compared with PV usage only. Battery Electric Vehicles (BEV) and Fuel Cell Vehicles (FCV) are using energy more efficiently than Internal Combustion Engine (ICE) cars, however, the use of hydrogen for electricity generation is significantly decreasing the efficiency due to electricity — hydrogen — electricity conversion.
The increase in REN use and the higher demand for energy in Austria in wintertime require seasonal storage of energy. We developed three scenarios, Externally Dependent Scenario (EDS), Balanced Energy Scenario (BES) or Self-Sustained Scenario (SSS) for Austria. The EDS scenario assumes significant REN import to Austria whereas the SSS scenario relies on REN generation within Austria. The required hydrogen storage would be 10.82 bn ms for EDS, 13.34 bn ms for BES, and
18.69 bn ms for SSS. Gas and oil production in Austria and the presence of aquifers indicates that sufficient storage capacity might be available. Significant technology development is required to be able to implement hydrogen as energy carrier and to balance seasonal energy demand and supply.
A Semi-Analytical Model for the Prediction of CO2 Injectivity into Saline Aquifers or Depleted Hydrocarbon Reservoirs
Authors: Whittle Tim , Park Philippa , Coll Carolina 
Published: June 2022

Abstract
As carbon dioxide (CO2) is injected into a reservoir (for CO2 sequestration in a saline aquifer or depleted reservoir, or even for enhanced oil recovery in the case of a less depleted reservoir), a region around the well becomes saturated and expands with time. From a pressure transient perspective, by making some simple assumptions the resulting reservoir configuration at any given moment can be approximated by a two-region radial composite system. As well as its radial extent, the inner region is defined by its diffusivity and mobility, both of which differ from those of the outer region as a result of the CO2 saturation. The CO2 viscosity and compressibility at reservoir pressure and temperature are the essential properties that impact the diffusivity and mobility. Knowing the three variables, radius, diffusivity ratio and mobility ratio, the constant rate pressure transient response is readily computed from existing analytical radial composite model solutions. These are commonly used in the petroleum industry to analyse well test behaviour and can be configured with a variety of boundary conditions (no flow, constant pressure or infinite, usually in the shape of a rectangle).
The problem with CO2 injection is that the radius and properties of the inner zone vary with time and hence any single radial composite model does not apply. The solution approach in this paper is to apply superposition. At each discretised time step, the well is simultaneously injected at a constant rate assuming the current configuration and shut in with the previous configuration. The shut-in "cancels out" the previous model and the current model applies. At each time step, the injected volume is calculated, the material balance and associated reservoir pressure computed along with the new inner zone radius, diffusivity and mobility and hence the model for the next time step is defined. An additional iterative loop allows for the injection rate to decrease if the injection pressure exceeds a maximum constraint.
The method is simple and fast and appears to match the pressure response of numerical simulations of the same problem using more detailed physics, without the associated noisy derivative often associated with grid-based solutions. It implicitly assumes a piston like displacement which results in an unrealistic saturation profile that differs from the more rigorous numerical models where gravity and capillary effects are included. However, comparisons with such models indicate that the prediction of well pressure and hence injectivity is sufficiently accurate for practical purposes despite this approximation.
The application of superposition in time - a method usually associated with solving linear problems – is demonstrated to adequately solve the complex non-linear problem of CO2 injectivity and, because the method includes material balance, it can help to define storage efficiency factors which are critical for the evaluation of storage capacity.
Dynamic Behavior of Salt Dissolution and Its Effect on Imbibition in Inter-Salt Oil Reservoir Due to Fracturing Fluid Injection
Authors: Liu Xiliang , Chen Hao , Yang Jin , Yang Shenglai 
Published: June 2022

Abstract
Billions of tons in proven reserves for inter-salt shale oil has been recognized as crucial strategic resources. The fracturing fluids injection triggers unique salt dissolution chemical phenomena, which on the one hand improves the reservoir pore structure and on the other hand easily induces formation collapse. However, there is no research on triggering mechanism and controlling factors of salt dissolution, and effect of slat dissolution on extremely important imbibition function in inter-salt shale formation is lack of understanding. Herein, the complex mechanism of inter-salt shale dissolution reaction was revealed based on microcosmic pore structure network. The effect of salt dissolution on imbibition in inter-salt shale formation was assessed from various angles, which was conducted by online nuclear magnetic resonance (NMR), high-quality focused ion beam scanning electron microscopy (FIB-SEM), and CT technologies. The results indicate that high temperature improves slat dissolution reaction and enhances the seepage capacity by more than 60 times, which sharply exceeds the influence of fracturing fluid salinity, flow rate and pressure in inter-slat formation. Three kinds of pores for imbibition recovery contribution were 48.17%, 46.39%, and 5.44%, namely micropore, mesopore and macropore, respectively. Additionally, salt dissolution enlarged seepage channel so that spontaneous imbibition occurred in micropores, which was considered as conventionally unmovable areas. Besides, the salt dissolution effect mainly promoted oil discharge in the second stage of imbibition process, leading to 15.83% higher imbibition recovery. These results can furnish an in-depth understanding the nature of complicated mechanisms in inter-slat shale oil reservoirs with fracturing fluids injection.
Energy Transition by Employing a Self-Healing, Reduced Carbon Dioxide Footprint Sealant in a Strategic Underground Gas Storage Project
Authors: Johnson Carl R. , Sari Suleyman , Ahrenst Alex , Gozubuyuk Irem 
Published: June 2022

Abstract
The Tuz Gölü underground gas storage (UGS) project is a strategic venture in Turkey's energy program. This gas storage facility will be the largest in Europe, having multibillion m3 capacity, by taking advantage of the optimal gas storage conditions offered by subterranean salt caverns. Upon reaching the reservoir, one of the important goals is to obtain hydraulic isolation between the surface and the casing. Inadequate downhole isolation may well result in interzonal communication, gas migration, casing corrosion, and sustained casing pressure. Furthermore, gas flow to surface formations and/or to the atmosphere, could impact the environment and health along with an underlying economic impact. Wellbore isolation was introduced in the form of fully salt-saturated gas control and self-healing cement systems.
When drilling into salt caverns, the foremost challenge is to minimize the dissolution of the in-situ salt formation by means of contact with water-based cementing fluids, which can lead to the creation of new flow paths. This occurrence must be prevented at all costs; otherwise, stored gas might leak through these microchannels. Unlike typical salt formations, this candidate field also contains carbon dioxide (CO2). Most wells in the field had a prognosis toward low CO2 content, so cement exposure to CO2 was not deemed an elevated risk; however, if the CO2 exposure risk increased, it would potentially generate an additional challenge both in terms of gas migration control and long-term cement integrity.
Currently, more than 100 cementing operations have been performed in the candidate field. After pumping 3,500 metric ton of cement and blending 750 metric ton of the tailored self-healing cement, more than 300 laboratory tests were performed. More than 15,000 staff-hours of testing supported construction of 32 UGS wells, fully cemented with zero health, safety, and environment (HSE) or service quality incidents and, importantly, with outstanding bond log results. Completion strings in 15 wells have already been run where wells are prepared to store gas; the ongoing project is now expanded to 50 UGS wells. Furthermore, an intrinsic benefit of the self-healing cement system is reduced CO2 footprint vs. conventional class G cement, which can be nominally 40% less CO2 per unit volume.
With involvement of local laboratories and technical experts in the region, salt-saturated gas-control and self-healing cement slurry systems have been developed and successfully deployed. Information regarding these system's liquid and set properties will be presented, along with techniques used to enhance certain cement properties. The field cases that will be presented describe how challenges were overcome in successfully sealing UGS wells in a highly saline environment, and how the self-healing technology applied in these wells is being extended to include salt-saturated systems and CO2-resistant versions elsewhere.
Artificial Intelligence for Production Optimization in Schoonebeek Thermal EOR Field
Authors: Arfie Mezlul , Ghodke Nikhil , Groenbroek Kasper 
Published: June 2022

Abstract
Production from the Schoonebeek heavy oil steam flood in northeast Netherlands was historically curtailed because of limits on H2S and water production. The interdependence of various permit and facility constraints makes production optimisation for Schoonebeek extremely challenging. So much so, that the conventional IPSM approach does not apply. To understand the field's production potential and to reach it, the team developed a novel Production System Optimisation (PSO) workflow using techniques from machine learning and operations research. In this paper we explain the details of this PSO workflow, the mathematics behind it, and share our results and learnings. The algorithm runs in 5 minutes and is used in daily optimisation. The application of this new workflow in combination with the successful deployment of a novel H2S scavenger, resulted in a Schoonebeek production uplift of 50%.
Examination of Five Amino Acids as Gas Hydrate Kinetic Inhibitors in Oil and Gas Industry
Authors: Longinos Sotirios , Longinou Dimitra -Dionisia , Wang Lei 
Published: June 2022

Abstract
Gas hydrates are acquainted as a significant topic to the oil and gas flow assurance, as it creates pipelines occlusions. The formation of gas hydrates can create many functional issues such as: stop of production, high preservation expenditures, environmental dangers and even loss of human beings. In this work five different amino acids such as: leucine, methionine, phenylalanine, glycine and asparagine examined if they work as kinetic inhibitors on mixture gas hydrate formation. The outcomes indicated that phenylalanine, asparagine and glycine (phenylalanine&gt;asparagine&gt;glycine) behaved as inhibitors following the rank from most powerful to less one while leucine and methionine behaved as promoters (leucine&gt;methionine) for both hydrate formation and induction time.
Using a CCS Simulator to Maintain Liquid CO2 in the Completion
Authors: Petitt Anna Helene , Konopczynski Michael Robert 
Published: June 2022

Abstract
Depleted oil and gas fields may provide important locations for Carbon Capture and Storage (CCS). However, injection of carbon dioxide into pressure depleted oil and gas fields can be problematic due to the low reservoir pressure and the phase change behavior of carbon dioxide. The change of carbon dioxide from a liquid into a gas can trigger physical phenomena, such as significant cooling of the fluid as a result of the Joule-Thomson effect and the latent heat of vaporization, which can cause material embrittlement and loss of equipment functionality, and unstable or surging injection rates. Current mitigations restrict the quantity of carbon dioxide able to be injected by use of multiple injection tubing strings that can be costly or technically prohibitive. A more attractive alternative may be the use of downhole variable flow restricting devices which will autonomously respond to the changing well conditions, without the need for intervention or a workover in later well life.
There is limited software currently available to model flow control to ensure carbon dioxide remains in liquid form in the completion. Through nodal analysis, the CCS simulator developed in this study can simulate the choking effect of downhole flow control devices placed at intervals in the completion that are sized and numbered to achieve the desired pressure distribution and CO2 injection rate. The modelling can then illustrate the required operating parameters of the downhole flow control solution with the results indicating the equivalent orifice sizes required for the flow control devices. The adjustable flow control devices can be removed or fully opened when the reservoir pressure increase and injection rate climbs and thus deemed to be no longer necessary. The use of downhole flow control devices can replace the need for a multiple string completion as the reservoir pressures and injection rates vary over the life of the well.
A Prospective Cohort Study: Platelet-Rich Plasma Combined with Carpal Tunnel Release Treating Carpal Tunnel Syndrome short (running) title: PRP-CTR Treating Carpal Tunnel Syndrome
Authors: Gao Yan-chun , Wang Qi-yang , Wang Chen-chen , Chen Hua 
Published: June 2022

Abstract
Background
PRP injection was proved to promote the health condition of individuals with mild to moderate Carpal Tunnel Syndrome (CTS). However, carpal tunnel release (CTR) was still an important treatment for individuals with moderate, as well as severe CTS.
Methods
To explore whether adjuvant PRP treatment would improve the prognosis while using CTR, we included 82 patients in this study. Preoperative and postoperative visual analog scale (VAS), Boston carpal tunnel syndrome questionnaire-symptom severity scale (BCTQ-SSS), Boston carpal tunnel syndrome questionnaire-functional status scale (BCTQ-FSS), and grip strength was used to examine the patient's symptoms and function.
Results
CTR combined with PRP treatment improved the VAS (1.9 ± 0.5 versus 1.4 ± 0.4, P < .05), BCTQ-SSS (1.8 ± 0.4versus 1.5 ± 0.3, P < .05) and BCTQ-FSS (1.8 ± 0.5 versus 1.4 ± 0.6, P < .05) in patients with moderate symptoms within one month after surgery. At the same time, it does not show any advantages in treating individuals with severe carpal tunnel syndrome.
Conclusions
The use of PRP does not affect long-term prognosis while increasing the surgery cost. To conclude, PRP as an adjuvant treatment of CTR has limited effect. Considering the additional financial burden on patients, CTR combined with PRP should be cautious in CTS treatment.
Linkage of proteasomal impairment and autophagy activation by C9orf72 poly-GA aggregate formation
Authors: Pu Mei , Tai Yusi , Yuan Luyang , Zhang Yu , Guo Huijie , Hao Zongbing , Chen Jing , Qi Xinming , Wang Guanghui , Tao Zhouteng , Ren Jin 
Published: June 2022

Abstract
Background
Poly-GA, a dipeptide repeat protein unconventionally translated from GGGGCC repeat expansions in C9orf72, is abundant in C9orf72-related amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Although the poly-GA aggregates have been identified in C9orf72-ALS/FTD neurons, the effects on UPS and autophagy, and their exact molecular mechanisms have not been fully elucidated.
Results
Herein, our in vivo experiments show that ploy-GA mice expressing 150 repeats but not 30 repeats GA exhibit significant aggregates in cells, behavioral deficits, and activate autophagy in the brain. The in vitro results demonstrate that the aggregated poly-GA induce proteasomal stress through directly binding proteasome subunit PSMD2 to recruit proteasome and impair its function, subsequently activate phosphorylation and ubiquitination of p62 to recruit autophagosome, and ultimately leading to compensatory autophagy activation. While rapamycin treatment significantly improves the degenerative symptoms of mice expressing 150 repeats poly-GA, relieves neuronal injury and reduces neuroinflammation and aggregates in the brain.
Conclusion
In summary, we clarify for the first time the relationship of poly-GA between proteasome and autophagy: poly-GA aggregates recruit autophagosomes only when it forms complex with the proteasome and causes proteasomal stress. Our study provides support for further promoting the comprehension about the pathogenesis of C9orf72 and may bring a hint for the exploration of rapamycin in the treatment of ALS/FTD.
Towards Cognitive Critical Discourse Analysis CCDA Methodology A multidisciplinary approach to Social Science
Authors: Allah Ghufran Khir 
Published: June 2022

Abstract
This paper introduces a comprehensive CCDA methodology that bridges CL and CDA. CCDA depends on two main approaches studied extensively in Linguistics Approach in the last decades; the first is Cognitive Linguistics (CL) (which contains theories on Mental Frames (MF) and Conceptual Metaphors Theory (CM). The second is Critical Discourse Analysis (CDA) which includes the analysis of the linguistic production (the discourse) and the social and political context of that production (political agenda, injustice, social stereotypes, and equality). This paper aims to join all the previous attempts to join CL into CDA in one comprehensive methodology for social science researchers with essential linguistic backgrounds. Contrary to the already existing CL theories, which consider MF as the output of CM analysis, CCDA argues that the analysis of the non-metaphorical linguistic choices is another essential tool to identify dominant framings of the social phenomena and the linguistic structures related to them. In CCDA, MF and CM analysis are separated but correlated analysis fields in CL. CCDA goes beyond the linguistic structures to reveal the dominant framing that control people’s minds on social phenomena.
Analysis of the Relationship between Innovation and Ethipian Economic Growth
Authors: abibo abebaw , Muchie Mammo , Sime zerayehu , Ezezew Wondemhunegn 
Published: June 2022

Abstract
Economists all over the world believe and recognize that innovation promotes economic progress. This research examines the relationship between Ethiopian economic growth and innovation. The goal of this article is to see if an economy's innovation potential has an impact on long-term growth in the economy of Ethiopia. The analysis used data from 1987 to 2020 year in the case of Ethiopia, time-sires data and analysis were carried out using ARDL estimates. The study examined a variety of indicators to quantify innovation, including the number of patents, R&D expenditures, education spending, and enrollment ratio. The results provide evidence of a positive relationship between economic growth and innovation (patents, R&D expenditures) as well as human capital (Education enrollment ratio education spending). The result also shows that both labour and capital are directly related to economic growth, though the former plays a significant role while the latter does not. This paper recommdan that the government is committed to R&D and education funding, developing strong institutions, enhancing the academia-industrial linkage as well as implementing a workable science, technology, and innovation policy to bolster and diversify the economy. to encourage them to engage in R&D and education activities, either through reverse engineering or inventing new ones, as this will not only lead to economic growth but also raise the global competitiveness of Ethiopia's economy.