bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detailed Integrated Asset Model Boosts Water Injection Potential in Giant Fields
Authors: Mogensen K. , Samajpati S. , Kunakbayeva L. , Danardatu A. H. , AlZaabi M. 
Published: March 2024

AbstractIntegrated asset models for the water injection networks have been developed to complement the optimization of oil production while honoring system constraints and balancing offtake across the reservoirs. A well-calibrated asset model enables operation closer to the system constraints leading to higher water injection rate potential and the ability to better allocate water to the right drainage regions.The integrated model comprises individual well models linked to a surface network model. While the well modeling itself is uncomplicated due to single-phase flow conditions, complications arise when hundreds of wells are tied together via multiple injection clusters linked together to provide optimum routing flexibility. Some of the routing options give rise to pressure imbalances in the network and require special attention to set up and solve.The wells fall into three distinct categories. Category 1 includes wells that belong to injection clusters constrained by pump capacity. These wells may inject into different reservoirs; hence optimization requires redistributing a fixed volume according to voidage replacement ratio considerations. Category 2 consists of wells that inject just below fracturing pressure. Any increase in rate would require stimulation, in this case matrix acidization. The wells are therefore ranked based on the expected rate increase from a fixed injectivity improvement, such as 10, 15 or 25%. The predicted injectivity index improvement is then supplied to the network solver to predict the potential water injection increase at field level, considering all the system constraints. Category 3 comprises wells that should be ramped up after checking for well integrity and verifying the fracturing conditions.
Water Shut-Off Best Practices and Analysis of Effectiveness and Sustainability
Authors: Alkadem M. A. , Sharma H. K. , Benedek L. , Albaharna Z. A. 
Published: March 2024

Abstract
This study highlights the water shut-off best practices and state-of-the-art technologies that are implemented in a wide range of wells. The study analyzes the best practices and decision basis for the most optimum water shut-off techniques that result in a successful and sustainable arrest of water production.
Water management practices are an integral part of operations for mitigating premature water encroachment. Multiple techniques have been implemented by operating companies to shut off premature water entry zones using mechanical or chemical means; including mechanical and inflatable packers, retrievable and slim plugs, shifting sliding sleeve inflow control devices (ICDs), and chemical treatment to block undesired water-producing intervals. Historic water shut-off jobs were examined and the percentage of gain and water cut reduction for each well was calculated. This included the average sustainability time before wells revert back to their pre-water shut-off performance.
On average, over 50 operations varying between vertical water shut-offs, horizontal water shut-offs, and sliding sleeve ICD shifting were analyzed. A post-isolation oil production increase of an average of 15% and water cut reduction by an average of 35% were observed. By analyzing the wells that underwent the water management activities, it was concluded that several factors played major roles in the success of water shut-off jobs and sustainability of well performance. Maintaining the effectiveness of water shut-off in the well was controlled by well configuration and trajectory, pre-water-shut-off production behavior, placement of the isolation barrier, well location and other key factors.
This study acts as a valuable reference for future water management activities to ensure the success of the job and the longevity of producers.
Water Injection Optimization Based on Operational KPIs
Authors: Furtado C. J. A. , Lage G. G. , da Fonseca G. R. V. A. , Patrício A. A. R. 
Published: March 2024

Waterflood is one of the main techniques to improve the oil recovery. Besides displacing and producing incremental oil, water injection helps to maintain the reservoir pressure close to its original value, keeping productivity in a high level. In offshore fields, seawater is fully available although it needs to have several quality controls to avoid undesirable consequences. Others water sources can be used such as aquifers or produced water, each of which with its specific needs in terms of quality [Chappel, 2020].In the last decades, injection water process treatment is including more advanced equipment and chemicals to improve the water quality. Therefore, large footprint, high power supply and hard logistic have been required for water injection. Separation process based on membranes is an example of technology that has its use increased recently, mainly for: Nanofiltration membranes for sulfate removal; low sulfate content in water injection may reduce significantly the scale precipitation potential. A side benefit is reducing the biogenic H2S generation (souring) when low SO4 water is injected.Ultrafiltration membranes for solids removal. High solids content can cause pore rocks plugging near wellbore, reducing injectivity. Ceramic ultrafiltration membranes have also been used to remove solids from produced water with the same target.Reverse osmoses membranes to reduce water salinity. Low salinity water may increase the oil recovery when compared with brines such as the seawater.Advanced technologies normally imply into more laborious or time-consuming maintenance. As space in an offshore unit is very limited, facilities design normally considers a set of equipment that allow full capacity even during maintenance, like 5×25% or 6×20%. Although all these cares, uptime can reach low values mainly for units with high volume rates or any critical operational problem. For some kind of equipment, it is possible to bypass it or still operate it far from design conditions. It means that you may keep the injection rate needed, but the water quality will be poor, and you should deal with the consequences. In this work, we will introduce a methodology to check the consequences and benefits of manage water injection with different KPIs (key performance index) and show some cases where this methodology was adopted with success.
Coda wave attenuation in the Zagros collision zone in southwest of Iran and its tectonic implications
Authors: Talebi Amir , Rahimi Habib , Moradi Ali 
Published: March 2024

Abstract
The Zagros collision zone, located in the southwest of Iran, is experiencing to an immoderately large number of seismic hazards caused by the convergence between the two Arabia and micro-plate of central Iran. The coda Q have been widely used as a vital parameter to investigate the different tectonic features as well as seismic risk assessments. In this study, we have analyzed the spatial variation of coda wave attenuation in the Zagros region, to evaluate the different geological features affecting the seismic wave’s propagation. Our dataset comprises 87295 coda records of about 6421 local earthquakes, with magnitude greater than three recorded by 36 seismic stations in the period of 2006 to 2020. we have applied a very simple regionalization method to mapping spatial distribution of in Zagros area. The spatial distributions of coda Q have a positive correlation with the tectonically and lithology of the interested area. According to the results, three primary elements have been suggested as major controlling factors of variation of seismic Coda waves in different parts of the Zagros area. These factors include: 1) intra-crustal relamination process (crustal channeling), 2) 12 km thickness of sediment-filled by fluid (oil and gas) and 3) Hormoz salt (salt domes). Our results also revealed that the suture zone of Zagros (the Main Zagros Thrust fault, MZT) can be considered as a border in which the distribution of coda wave is different on the sides of the fault.
BnaC09.tfl1 controls determinate inflorescence trait in Brassica napus
Authors: Xutao Zhao , Du Dezhi , Liu Haidong , He Niaofei , Xing Xiaorong , Tang Guoyong , Li Kaixiang 
Published: March 2024

Abstract

Determinate inflorescence is a very important agronomic and plant architecture modified trait of Brassica napus (AACC, 2n = 38). Previous studies showed that determinate inflorescence trait could decrease plant height and lodging resistance in oilseed rape. A previous study identified a crucial gene Bnsdt2 that encodes the transcription factor BnaC09.TFL1 (Terminal Flower 1). In this study, we cloned and sequenced two alleles from two parents (indeterminate 2982 and determinate 4769, respectively). The results indicated that BnaC09.TFL1 harbors two T/C and G/C non-synonymous mutations in exon 1, and contains 66 differences in a 1.9 Kb promoter sequence. Subsequently, a NIL-BnaC09.TFL1IDT2982 line was built to verify the function of BnaC09.TFL1’s gene and its effect on agronomic traits of Brassica napus were designed. The results showed that BnaC09.tfl1 reduced the plant height and increased the branch number and branch thousand-grain weight of Brassica napus. Additionally, BnaC09.TFL1 was introduced into B. napus 571 lines (determinate inflorescence) by genetic complementation and overexpression, transgenic plants 571CTO lines and 571TClines were all restored to the indeterminate inflorescence. Intrerestingly, after BnaC09.TFL1 was knocked out in ‘Westar’ of Brassica napus, transgenic plants WestarTcr lines were mutated to determinate inflorescences. These findings demonstrate that BnaC09.tfl1 affects agronomic traits and controls the inflorescence characters of Brassica napus. Moreover, subcellular localization results showed the BnC09.TFL1 protein were located in the cell membrane, cytoplasm, and nucleus. Our findings provide a firm molecular foundation for the study of rapeseed’s molecular mechanism of determinate inflorescence formation, as well as theoretical guidance for the application of determinate inflorescence in rapeseed breeding.
Leveraging Natural Language Processing to Evaluate Young Adults’ User Experiences with a Digital Sleep Intervention for Alcohol Use
Authors: Griffith Frances , Ash Garrett , Augustine Madilyn , Latimer Leah , Verne Naomi , Redeker Nancy , O'Malley Stephanie , DeMartini Kelly , Fucito Lisa 
Published: March 2024

Abstract

Evaluating user experiences with digital interventions is critical to increase uptake and adherence, but traditional methods have limitations. We incorporated natural language processing (NLP) with convergent mixed methods to evaluate a personalized feedback and coaching digital sleep intervention for alcohol risk reduction: ‘Call it a Night’ (CIAN; N = 120). In this randomized clinical trial with young adults with heavy drinking, control conditions were A + SM: web-based advice + active and passive monitoring; and A: advice + passive monitoring. Findings converged to show that the CIAN treatment condition group found feedback and coaching most helpful, whereas participants across conditions generally found advice helpful. Further, most participants across groups were interested in varied whole-health sleep-related factors besides alcohol use (e.g., physical activity), and many appreciated increased awareness through monitoring with digital tools. All groups had high adherence, satisfaction, and reported feasibility, but participants in CIAN and A + SM reported significantly higher effectiveness than those in A. NLP corroborated positive sentiments across groups and added critical insight that sleep, not alcohol use, was a main participant motivator. Digital sleep interventions are an acceptable, novel alcohol treatment strategy, and improving sleep and overall wellness may be important motivations for young adults. Further, NLP provides an efficient convergent method for evaluating experiences with digital interventions.
Intraspecific trait variation in seedlings reveals independence between leaf and root traits but a lack of an independent "collaboration axis" belowground
Authors: Schaffer-Morrison Samuel , Ibanez Ines , Weemstra Monique , Petri Lais , Umana Maria Natalia 
Published: March 2024

Abstract

Plant functional traits, both above- and belowground, help determine resource acquisition strategies. While global trends at the interspecific level suggest independence between leaf and root traits, there are ecological and evolutionary reasons to expect different patterns of variation within species. We investigate whether the same functional dimensions observed across species also exist intraspecifically using tree seedlings. Three functional dimensions represent the resource-acquisition strategies aboveground and belowground, and mycorrhizal collaboration belowground. We ask: (1) Do the same three above- and belowground trait axes exist within species and are they independent from each other, and (2) are traits explained by environmental conditions? We collected root and leaf traits on 131 seedlings from four common, naturally occurring species across eight sites in a temperate, deciduous broadleaf forest in the USA. We measured traits defining the resource-acquisition strategies - specific leaf area, leaf nitrogen, root nitrogen, and root tissue density – and those defining the collaboration axis - specific root length and root diameter. In addition, we measured light conditions for each seedling and soil nitrogen (N) and phosphorus (P) to examine the relationship between traits and abiotic conditions using a novel multivariate regression analysis approach. We found that above- and belowground traits segregated into independent functional axes and that the collaboration axis merges with the belowground resource-acquisition axis. Furthermore, we found limited associations between abiotic factors and traits. Our findings suggest that within species there might be additional constraints to adjust to soil conditions, and therefore impact response to environmental change.
Morphological and biochemical analysis of the CNTs-induced in-vitro culture of Moringa oleifera
Authors: Bibi Anam , Khan Raham Sher , Gul Karim , Ullah Atta , Aizaz Muhammad , Shah Syed Muhammad Shafi , Usman Muhammad , Iqbal Aneela , Khan Mubarak Ali 
Published: March 2024

Abstract

The current research work was designed to study the effects of carbon nanotubes (CNTs) on morphological and phytochemical profile of in vitro culture of Moringa oleifera. The surface sterilized Moringa seeds were cultured on MS basal medium containing different concentrations of carbon nanotubes (0, 20, 50, 80 and 100 mg/l) and incubated at 25 ± 1°C for germination, and/or callus induction and regeneration. Similarly, the germinated in vitro plants were analysed for biochemical analysis and phytohormones level. The results showed that earlier germination (after 3 days) was recorded on CNTs-fortified medium and the highest used concentration (100 mg/l) of CNTs resulted in 100% germination of the explants. Similarly, in case of callogenesis, we found that as we increased the CNTs concentrations from lower to higher, we obtained higher percentage in callus formation and highest fresh (3.081 ± 0.005 g) and dry weight (1.64 ± 0.0012 g) were recorded on the media with 100 mg/l of CNTs. The induced calli were subjected to regeneration and the best results in the highest number of shoot (5 ± 0.57), shoot length (11 ± 0.57 cm), highest number of leaves (24), highest root number (12 ± 0.57), and root length (9.8 ± 0.35) were all observed on 100 mg/l CNTs-media. The spectrophotometric analysis of the total soluble sugars, proline, flavonoids, and phenolic contents revealed that the highest flavonoids were found on 50 mg/l concentration of CNTs, while the highest sugars, proline, and phenolics were observed on 100 mg/l of CNTs. The phytohormones, indole acetic acid (IAA, salicyclic acid, and gibberellic acid) were quantified. CNTs affected the level of IAA, however SA and GA were not significantly affected by the use of CNTs in the MS media. To the best of our knowledge, this is the first trial in determining the impact of CNTs on the morphological and biochemical characteristics of the medicinally important plant, M. oleifera, where the application of CNTs caused a growth promoting effect on moringa plant and triggered the biosynthesis of essential plant metabolites.
The impact of group membership on punishment versus partner rejection
Authors: Loustau Trystan , Glassman Jacob , Martin Justin W. , Young Liane , McAuliffe Katherine 
Published: March 2024

Abstract

People often display ingroup bias in punishment, punishing outgroup members more harshly than ingroup members. However, the impact of group membership may be less pronounced when people are choosing whether to stop interacting with someone (i.e., partner rejection). In two studies (N = 1667), we investigate the impact of group membership on both response types. Participants were assigned to groups based on a “minimal” groups paradigm (Study 1) or their self-reported political positions (Study 2) and played an incentivized economic game with other players. In this game, participants (Responders) responded to other players (Deciders). In the Punishment condition, participants could decrease the Decider’s bonus pay. In the Partner Rejection condition, participants could reject future interactions with the Decider. Participants played once with an ingroup member and once with an outgroup member. To control for the effects of intent and outcome, scenarios also differed based on the Decider’s Intent (selfish versus fair) and the Outcome (equal versus unequal distribution of resources). Participants punished outgroup members more than ingroup members, however group membership did not influence decisions to reject partners. These results highlight partner rejection as a boundary condition for the impact of group on responses to transgressions.
The relation of job stress to mental health of junior high school teachers and the related mechanisms in Post-pandemic era
Authors: Wang Saidi , Pu Linjie , Yu Jie , Li Jiansheng 
Published: March 2024

Abstract

This study focuses on the mental health of junior high school teachers and its influencing mechanism in the post-epidemic era. By integrating job stress, work-life balance and job satisfaction into the theoretical framework of mental health, this study systematically discusses the influencing mechanism of junior high school teachers' mental health. It is found that job stress has a significant impact on teachers' mental health, while job stress does not affect teachers' mental health through work-family balance, and only when job satisfaction moderates work-family balance can the intermediary role of work-family balance be established. This study not only enriches the theoretical system of teachers' mental health, but also provides practical basis for education administrators to improve teachers' mental health in the post-epidemic era.
High-temperature superconductivity of ternary Y–Hf–H compounds under high pressure
Authors: Wang Yanqi , Jin Yuanyuan , Yang Fulong , Zhang Jinquan , Zhang Chuanzhao , Kuang Fangguang , Ju Meng , Li Song , Cheng Shubo 
Published: March 2024

Abstract

Compressed ternary alloy superhydrides are currently considered to be the most promising competitors for high-temperature superconducting materials. Here, the stable stoichiometries in the Y-Hf-H ternary system under pressure are comprehensively explored and four fresh phases are found: Pmna-YHfH6 and P4/mmm-YHfH7 at 200 GPa, P4/mmm-YHfH8 at 300 GPa and P-6m2-YHfH18 at 400 GPa. The four Y-Hf-H ternary phases are thermodynamically and dynamically stable at corresponding pressure. In addition, structural features, bonding characteristics, electronic properties, and superconductivity of the four ternary Y-Hf-H phases are systematically calculated and discussed. Among them, the superconducting transition temperatures (Tc) are significantly enhanced as the hydrogen content and the contribution of H atoms to the density of states at the Fermi level increase. The P-6m2-YHfH18 with high hydrogen content exhibits a high Tc value of 130 K at 400 GPa.
Light increases resistance of thylakoid membranes to thermal inactivation
Authors: Lovyagina Elena , Luneva Oksana , Loktyushkin Aleksey , Semin Boris 
Published: March 2024

Abstract

In the region of slightly acidic pH (рН 5.7), the manganese cluster in oxygen-evolving complex of photosystem II (PSII) is more resistant to exogenous reductants (Semin et al. 2015). The effect of such pH on the heat inactivation efficiency of the electron transport chain (O2 evolution and 2,6-dichlorophenolindophenol reduction) in PSII membranes and thylakoid membranes was investigated. Under thylakoid membranes illumination accompanied by lumen acidification, their resistance to heat inactivation increases. In the presence of protonophores, the rate of heat inactivation increases, which seems to be associated not with the protonophore mechanism, but with structural and/or functional changes in membranes. In PSII membrane preparations, the efficiency of the oxygen evolution inhibition at pH 5.7 is also lower than at pH 6.5. The role of reactive oxygen species in thermal inactivation of photosynthetic membranes was investigated using a lipophilic cyclic hydroxylamine ESR spin probe.
Polycyclic Aromatic Hydrocarbons (PAHs) in Urban Park Dusts from Lagos, Nigeria: Pollution levels, Sources and Exposure Implications.
Authors: Adeniran Jamiu Adetayo , Odediran Emmanuel Toluwalope , Ogunlade Benjamin Toba , Adeagbo Toheeb , Akanbi Omodamola , Adesina Olusola Adedayo 
Published: March 2024

Abstract

Dust serves as a primary source and reservoir for polycyclic aromatic hydrocarbons (PAHs) in metropolitan areas worldwide. Therefore, this research investigated the pollution levels, origins, and exposure threats linked with PAHs in dust sampled from twenty vehicle parks in Lagos, Nigeria -one of the fastest growing African cities. Diverse PAH origins were identified with positive matrix factorization (PMF) technique and diagnostic ratios. Total PAH concentrations ranged from 4.81 µg/g to 8.48 µg/g. Four-ring PAHs, particularly Fluoranthene (Flan), were the most prevalent, with concentrations ranging from 0.26 µg/g to 1.33 µg/g in Lagos parks. Benzo(k)fluoranthene from road traffic sources, emerged as the leading PAHs among the seven considered cancer-causing PAHs, ranging from 0.31 µg/g to 0.99 µg/g. The PMF model identified eight sources of PAHs, including biomass combustion, gasoline vehicle exhaust, coke oven emissions, lubricating oil burning, unburnt fossil fuel, diesel combustion, petrol combustion, and fugitive dust. Applying the probabilistic cancer risk model, Lagos average cancer risk from chosen vehicle parks was calculated as 1.27 x 10− 5 for children and 1.41 x 10− 5 for adults, falling within acceptable risk levels.