bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extensive Testing of Glass-Based Chemical Consolidation on Carbonate Reservoir
Authors: Hoq A. , Caline Y. , Flatebø R. E. , Martin A. N. , Rylance M. , Milton-Tayler D. M. , Magallanes M. , Olsen M. , Hatlebakk R. 
Published: April 2024

Abstract
Chemical consolidation of carbonate reservoirs offers the possibility of increasing the production and longevity of wells while minimizing the associated operational expenses. A novel glass-based chemical solution has been tested to understand the potentially beneficial consolidation and treatment effects that this can have on a chalk reservoir. The testing and modeling results, along with operational application methods will be shared and discussed within this paper.
Over 80 core flood injection tests were performed to investigate the injection parameters and results on post-treatment strength and permeability. A variety of strength measurements were used to understand the full impact on the resulting strength properties. Over 20 fracture embedment tests with proppants were conducted to determine the strengthening effects in the chalk face and assess the resulting permeability in propped fractures. The results of all these tests and models are compiled and compared to understand the trends and relationships in order to determine the most effective injection parameters and post-treatment effects achievable in the chalk reservoir.
The laboratory results have demonstrated that this chemical solution can strengthen intact cores, consolidate chalk powder, strengthen the chalk face in proppant fractures, all while retaining a high degree of the original permeability, and in some cases increasing it. If field trials can replicate the same outcome, there is the potential to increase drawdown limits, reduce chalk production, alleviate productivity decline, ultimately boosting production potential, and concurrently mitigating the risks of deferred production and operational costs associated with interventions. This could be a solution for new wells on the Valhall field to help sustain stable production rates and prolong the longevity of the wells.
Glass-based chemical solutions are new to the industry and present the opportunity for unique solutions to the consolidation and sealing challenges we face. This novel chemical solution is now ready for evaluation through suitable field trials and its core technology could potentially have applications beyond carbonate consolidation.
Bypassed Oil Identification and Infill Optimization by a Physics-Guided Data-Driven Workflow: A North Sea Case Study
Authors: Moradi B. , Behjat S. , Völgyi S. , Knutsen J. O. , Braeuning S. 
Published: April 2024

Abstract
This paper focuses on the vital task of identifying bypassed oil and locating the remaining oil in mature oil fields, emphasizing the significance of these activities in sustaining efficient oil field exploitation. The paper introduces a novel digital hybrid workflow, guided by physics principles and driven by data, which is further enhanced by the integration of 4D time-lapse data. The study delves into the impact of data-driven advancements, shedding light on their capability to revolutionize industry norms and promote the adoption of more sustainable and effective practices in mature field exploration and extraction. In a practical application within a Norwegian North Sea field, this hybrid workflow was utilized to compute saturation and remaining oil maps (P10/ P50/ P90) across a spectrum of representative realizations, aiding in the identification and quantification of infill targets. This study enables us to obtain a second opinion on the performance in the field. Furthermore, it has been demonstrated that hybrid workflows can assist the subsurface team in identifying and quantifying the location of remaining oil, encompassing a full spectrum of uncertainties within a short timeframe. The outcomes of this study indicate that hybrid methodologies, which are guided by physics and driven by data, hold immense potential as tools for exploration and production in the oil and gas industry. These hybrid approaches offer a promising avenue to accurately, efficiently, and cost-effectively unlock the potential of remaining oil in mature fields.
Numerical Estimation of Hydraulic Forces on a Three-Dimensional Moving Tool-Joint Through a Coupled Fluid-Structure Interaction Model
Authors: Volpi L. P. , Cayeux E. , Time R. W. 
Published: April 2024

Abstract
Drill-string vibration is an important source of issues during drilling operations. Although much research has been done in the last decades, little is known about the interaction between the drill-string vibration and the fluid flow. Most of the models consider only simplified solutions therefore limiting the applicability of the results. Often, those tackle neither the complex rheological behavior of the drilling fluid nor the fluid velocity field itself. In this work, the fluid movement around a moving tool-joint is solved through the Navier-Stokes equation and the forces at the tool-joint is directly estimated from the mesoscopic properties of the fluid flow, without resorting to simplifications, e.g.: drag and lift models. To do so, a tool-joint is assumed to rotate at constant velocity, while moving with a prescribed dynamic, while the flow dynamics is obtained with the lattice-Boltzmann method. Then, the forces and torques at the structure are estimated and evaluated. The simulation results indicate that axial and lateral forces can often be uncoupled, whereas torques are dependent on the dynamics. Finally, they are compared with a reduced order method. It is found that the latter can represent the dynamic accurately for the simplest cases.
Modelling of Acid Stimulation Using Needles for Multilateral Fishbone Wells
Authors: Duarte Forti T. L. , Silva P. B. D. , Longhin G. C. , Alencar H. C. , Rylo E. C. , Jaculli M. A. , Jorgensen T. , Leinenbach M. , Guo Y. , Giske N. H. , Askarinezhad R. , Feldmann F. 
Published: April 2024

Abstract
Acid injection is a concept to stimulate carbonate reservoirs by removing damage caused during well construction operations. The most common form of this treatment is matrix acidizing. An emerging technology involves the use of needles in a multilateral fishbone completion (known as fishbones), which are installed by injecting acid at high velocity. The design of acidizing operations is complex, depending on variables such as rock characteristics, operational conditions, and thermodynamic conditions. Consequently, a sophisticated modeling approach is required to accurately predict and optimize the operation of fishbone treatments. The mathematical formulation of the model involves solving differential equations for flow in porous media, acid transport, and wormhole propagation. Wormhole propagation is based on Pore-volume to breakthrough tests (PVbt), typically performed at laboratory to characterize the rock-fluid behavior in acidizing operations. In this work, experimental tests were performed to support the numerical developments. Comparative results from lab measurements and modeling are presented with good agreement. The model is then applied to simulate typical field operations. The movement of the fishbone needles during their installation is represented by varying the acid injection point over the simulation time. Details of the finite element mesh built for the simulations are discussed, and examples of vertical and horizontal well simulations are presented in this paper. Moreover, the continuous acid injection after the needle installation is evaluated, indicating additional productivity gains.
Advancements in Pipe Viscometer System: Investigating Particle Migration Effects for Enhanced Field Applicability
Authors: Lima V. N. , Taheri A. , Randeberg E. , Skadsem H. J. 
Published: April 2024

Summary
A pipe viscometer system equipped with differential pressure sensors and a Coriolis flow meter was integrated into a small-scale batch mixer to develop a novel concept for continuous slurry characterization. Previous studies have shown that cement slurries can exhibit particle migration away from pipe walls, which will impact the measured friction pressure loss and equivalently the wall shear stress particularly in small-diameter pipes. The focus of this research is to probe the possible impact of particle migration within the current setup, comparing measurements with those acquired using a scientific rheometer. The research approach involves comparing flow curves derived from pipe viscometer readings with offline measurements conducted using a rheometer equipped with a concentric cylinder geometry using a rotor with either smooth or grooved surface. To facilitate this comparison, differential pressure and flow rate data were converted into shear stress and shear rate values, following the Mooney-Rabinowitsch relationship. Experiments were performed using a simulated fresh cement paste suspension prepared by mixing an aqueous xanthan gum solution with silica powder. Steady-state viscosity measurements from both the pipe viscometer and rheometer produced consistent results, emphasizing the similarity in the shape and slope of the flow curves. Notably, rheometer measurements acquired using the smooth cylinder geometry closely resembled the measurements from the pipe viscometer for all solutions and suspensions tested, and also aligned well with the conventional viscometers employed in field applications. For pure xanthan gum solutions, we observed a close agreement between the geometries considered in the rheometer measurements and the pipe viscometer. On the other hand, the analysis revealed particle migration effects when comparing smooth and grooved cylinder geometries and testing dispersed silica suspensions. These discrepancies were more pronounced with increasing silica particle content and, therefore, should be duly considered when employing the proposed pipe viscometer system for the continuous characterization of fresh cement paste. The novelty of this approach lies in the comprehensive evaluation of the pipe viscometer setup, examining factors that could potentially influence viscosity measurements. This investigation aims to ensure precise control when implementing the system into a full-scale batch mixer for automated fluid characterization or continuous ("on-the-fly") mixing of cement paste.
Investigation of Synergy Between Extended Oil Recovery and Hydrogen Storage in a Producing Field Using the Norne Reservoir Model
Authors: Amiri Behzad , Andersen Pål Østebø , Ghaedi Mojtaba , Luo Xiaodong 
Published: April 2024

Abstract
This study's primary objective is to investigate the synergy of Underground Hydrogen Storage (UHS), extended oil recovery, and carbon dioxide (CO2) storage in an active oil and gas reservoir. Current studies on hydrogen (H2) storage in porous media have mainly considered depleted fields or aquifers. The current work investigates the implementation of H2 and CO2 storage in a depleting field and studies whether it will extend oil recovery, and how much continued operations will affect the storage processes.

This work uses a history-matched Norne full-field model with a compositional fluid model. The field has three separate zones of oil, gas, and water; only the oil zone will be used for the study. After an established history of about nine years of water and gas injection for oil recovery, production continued towards depletion. Water flooding, CO2-WAG (water alternating gas), or continuous CO2 and water flooding are utilized in three distinct scenarios for enhanced oil recovery (EOR), CO2 storage, and cushion gas provision. After depletion, H2 is injected for cyclic storage and production. Our primary interest, however, is understanding whether CO2 and H2 injection may prolong oil production and whether the prolonged oil production will positively or negatively impact CO2 and H2 storage. The same cases are, therefore, also run where, after a short period of depletion, UHS is implemented while depletion is happening. Less productive wells will be modified to injection for more sustainable reservoir management.
The impact of H2 storage on oil production was negligible, and the recovery factor declined by 0.5%. Out of all deployed EOR techniques, the CO2-WAG approach had the highest efficacy in oil recovery and could store around 60% of the injected CO2 underground. Furthermore, applying CO2-WAG resulted in the maximum efficiency for UHS during oil production, as CO2 reduced H2 dissolution in oil and residual trapping. Conversely, the water flooding method yielded the highest H2 recovery for storing H2 in the depleted reservoir, owing to a lower pressure near the H2 well and higher pressure in distant areas comparing two other cases. In addition, H2 broke through the oil wells, producing 17% of H2 via them. Consequently, the primary obstacles in UHS during oil production are the breakthrough of CO2 and H2 into the oil wells, which should be minimized by optimizing the operation parameters.
Assessing the Effect of Carbonated Water on the Geochemistry of CO2-Storing-Bed Minerals
Authors: Fani Mahmood , Puntervold Tina , Strand Skule , Mamonov Aleksandr 
Published: April 2024

Abstract
Global warming and climate change are influenced by the discharge of carbon dioxide into the Earth's atmosphere. CO2 can be injected into underground storage locations such as depleted oil and gas reservoirs or saline aquifers to reduce emission impacts. Injected CO2 will be located next to the reservoir phases in place: brine, pore surface minerals, and any residual oil. CO2 in brine forms carbonic acid, which could affect the stability of minerals. Short-term and long-term geochemical alteration processes should be screened to improve the understanding of mineral dissolution and in-situ mineralization mechanisms, giving improved quality of the numerical models needed for large-scale simulations.
This study investigated the chemical interactions between sandstone, chalk minerals, and carbonated water (CW) at static high-pressure/temperature conditions. Feldspar and carbonate minerals batches with different surface areas were exposed to CW for 1 and 3 months. Fluid properties before and after CW exposure were measured using ion chromatography (IC) and pH tests, and the integrity of the rock grains was studied by scanning electron microscopy (SEM) and a laser diffraction analyzer. Subsequently, the compositions of the exposed minerals were examined using energy-dispersive X-ray spectrometry (EDX). In addition, CW core flooding tests were conducted on outcrop chalk, as chalk was the mineral showing the highest reactivity in the static batch experiments. At the final stage, the static CW exposure test results were modeled by PHREEQC.
The results showed that the static batch experiments only revealed minor dissolution effects in chalk after CW exposure. Dynamic core flooding tests using an outcrop chalk core showed that injection of CW can cause higher rock dissolution at the inlet of the core. Exposing reactive minerals to CW can cause chalk dissolution and ionic exchange in feldspars. However considerable changes in sample integrity and grain geometry during the experiments were not observed. PHREEQC modeling made an acceptable match between the experimental and the simulated data.
This research shows that the dominant mechanisms between CW and the exposed minerals were ionic exchange and mineral dissolution. When these processes consume CO2, it leads to improved CO2 storage due to increased dissolution trapping. The study's results can be used to assess the integrity of the storing bed minerals after CW exposure.
First detailed characterization of prevalence of substance use among secondary school students in Nasarawa State, Nigeria
Authors: Egga Dennis Kudu , Oduyoye Omobola , Jacob Ijanada Aliyu , Akinoye John , Alaku Alheri , Nwaru Bright 
Published: April 2024

Abstract

Background
The prevalence of substance use among secondary school children in Nasarawa State, North-Central Nigeria, is unknown.
Objective
To provide comprehensive prevalence estimates of substance use and associated factors among in-school adolescents in Nasarawa, Nigeria.
Methods
A cross-sectional, multi-stage survey was conducted among 1,600 students in 26 schools. Students completed a self-administered questionnaire regarding socio-demographics and substance use habits. The questionnaire was adapted from two standardized questionnaires.
Result
Of the 1,518 who completed the questionnaire, there were more boys (51.3%) than girls. Most were 16–18 years (55.3%), attending non-residential (70%), private (54.4%), and mixed-sex schools (79.3%). Most were Christians (83.4%) and from monogamous families (73.2%). The prevalence of ever tried cigarette smoking was 14.8%, marijuana (13.6%), and inhalants (12.9%). Students > 18 years old were more likely to ever try cigarette smoking (aOR 1.88, 95%CI 0.99–3.58), tried during last 12 months (aOR 2.29, 95%CI 1.18–4.46), and tried during last 30 days (aOR 2.41, 95%CI 1.12–4.84) than those < 16 years. Students whose either parent smoked were more likely to ever try cigarette smoking (aOR 9.9, 95%CI 6.95–14.23), marijuana (aOR 9.74, 95%CI 6.78–13.99), inhalants (aOR 7.27, 95%CI 5.04–10.50), and other psychoactive substances (aOR 9.25, 995%CI 6.53–13.11) than students whose parents did not smoke. Other determinants of substance use were being a Muslim, attending non-residential public school, from a polygamous family, and living with unmarried parents.
Conclusion
Secondary school students in Nasarawa State exhibit variable substance use behaviors, influenced by socio-demographic factors, requiring consideration in substance use interventions.
Mesoscale Metabolic Channeling Revealed by Multimodal Microscopy
Authors: Drigo Rafael Arrojo e , Habashy Aliyah , Acree Christopher , Kim Keun-Young , Deerinck Thomas , Patterson Emilee , Lantier Louise , McGuinness Owen , Ellisman Mark 
Published: April 2024

Abstract
Metabolic homeostasis within cells and tissues requires engagement of catabolic and anabolic pathways consuming nutrients needed to generate energy to drive these and other subcellular processes. However, the current understanding of cell homeostasis and metabolism, including how cells utilize nutrients, comes largely from tissue and cell models analyzed after fractionation. These bulk strategies do not reveal the spatial characteristics of cell metabolism at the single cell level, and how these aspects relate to the location of cells and organelles within the complexity of the tissue they reside within. Here we pioneer the use of high-resolution electron and stable isotope microscopy (MIMS-EM) to quantitatively map the fate of nutrient-derived 13C atoms at subcellular scale. When combined with machine-learning image segmentation, our approach allows us to establish the cellular and organellar spatial pattern of glucose 13C flux in hepatocytes in situ. We applied network analysis algorithms to chart the landscape of organelle-organelle contact networks and identified subpopulations of mitochondria and lipid droplets that have distinct organelle interactions and 13C enrichment levels. In addition, we revealed a new relationship between the initiation of glycogenesis and proximity of lipid droplets. Our results establish MIMS-EM as a new tool for tracking and quantifying nutrient metabolism at the subcellular scale, and to identify the spatial channeling of nutrient-derived atoms in the context of organelle-organelle interactions in situ.
Universal distances detect anomalies in big data
Authors: Komarov Ilya , Fabian David , Kulikovska Olga , Kunaht-Huhsmann Neele , Paeschke Manfred , Palm Peter , Wilke Andreas , Schleich Wolfgang 
Published: April 2024

Abstract

The detection of anomalies in a set of data represents a ubiquitous challenge in computer science emerging in a wide range of fields such as financial transactions, particle physics and communication traffic. At the very heart of our method to attack this problem lies a representation of the data by key-value pairs with sets of associated identifiers. We compute distances between sets of key-value pairs with the help of a reference key and associated identifiers, and visualize these distances using heatmaps to bring out with few prior assumptions anomalies. Our method is universal since it works with any tabular or document-oriented data, independent of their content and form. We demonstrate the power of our technique by identifying three anomalies in the New York City Taxi and Limousine Commission Trip Record Data.
Helicobacter pylori infection exacerbates nonalcoholic fatty liver disease through lipid metabolic pathways: a transcriptomic study.
Authors: Chen Xingcen , Peng Ruyi , Peng Dongzi , Liu Deliang , Li Rong 
Published: April 2024

Abstract

Background
The relationship between Helicobacter pylori (H. pylori) infection and nonalcoholic fatty liver disease (NAFLD) have attracted increased clinical attention. However, most of those current studies involve cross-sectional studies and meta-analyses, and experimental mechanistic exploration still needs to be improved. This study aimed to investigate the mechanisms by which H. pylori impacts NAFLD.
Methods
We established two H. pylori-infected (Cag A positive and Cag A negative) mouse models with 16 weeks of chow diet (CD) or high-fat diet (HFD) feeding. Body weight, liver triglyceride, blood glucose, serum biochemical parameters, inflammatory factors, and insulin resistance were measured, and histological analysis of liver tissues was performed. Mouse livers were subjected to transcriptome RNA sequencing analysis.
Results
Although H. pylori infection could not significantly affect serum inflammatory factor levels and mouse liver pathology, serum insulin and homeostatic model assessment for insulin resistance levels increased in CD mode. In contrast, H. pylori infection significantly aggravated hepatic pathological steatosis induced by HFD and elevated serum inflammatory factors and lipid metabolism parameters. Hepatic transcriptomic analysis revealed 767 differentially expressed genes (DEGs) in the H. pylori-infected group in the CD groups, and the "nonalcoholic fatty liver disease" pathway was significantly enriched in KEGG analysis. There were 578 DEGs in H. pylori infection combined with the HFD feeding group, and DEGs were significantly enriched in "fatty acid degradation" and "PPAR pathway." Exploring the effect of different Cag A statuses on mouse liver revealed that fatty acid binding protein 5 was differentially expressed in Cag A- H. Pylori and DEGs enrichment pathways were concentrated in the "PPAR pathway" and "fatty acid degradation."
Conclusions
H. pylori infection may exacerbate the development of NAFLD by regulating hepatic lipid metabolism, and the H. pylori virulence factor Cag A plays a vital role in this regulation.