bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptive Approach for Reservoir Modeling Reduces Project Time, Improves Collaboration
Authors: Carpenter Chris 
Published: July 2024

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper IPTC 23935, “Breaking the Chain: Novel Use of Adaptive Model Approach for Reservoir Modeling Reduces Time Duration of Project and Improves Collaboration,” by Anthony R. Thompson, SPE, and Cesar E. Zerpa Bolivar, SPE, Saudi Aramco. The paper has not been peer reviewed. Copyright 2024 International Petroleum Technology Conference.

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The complete paper details how the reservoir modeling workflow can be accelerated, and uncertainty reduced, even for challenging greenfield prospects by constructing multiple small fit-for-purpose integrated adaptive models instead of one all-encompassing model. This workflow reduces the number of items on the critical path while simultaneously enabling static and dynamic data to be integrated before the static model is finalized. In addition, this approach enables new ideas to be evaluated more rapidly without affecting the critical path of the project.

Adaptive Models
Adaptive models are constructed to evaluate a single parameter, although this does not preclude an adaptive model being used to answer more than one question simultaneously. Critical to the successful use of adaptive models is the fact that they can be constructed quickly. This enables the various inputs received to be assessed and quality-controlled within the static and dynamic models the moment the input or interpretation becomes available.
The construction of adaptive models normally is best achieved through the construction of a workflow in the static modeling package. Initially, the workflow may only consist of the construction of a grid in which to start to place wells. As data become available and are quality-controlled into the model, in most cases, this can be included into the workflow, enabling more constraints to be applied to the subsequent modeling framework.
When the adaptive model is being simulated dynamically, it is critical that the model runs quickly. The use of a sector model can be considered for greenfields because the history-matching parameters before production starts are limited to the vicinity of the well. Full-field models are only required when an event occurs across the whole of the reservoir.

Adaptive Modular Modeling Process
In contrast to the classical approach to reservoir modeling, which uses a chain-type approach, the use of adaptive models brings components together in the sequence of work completion. This means that the various components of the model can be competed when the resource or team member is available. Thus, until very near the end, the project is unlikely to be waiting on the input of one person.
Technology Focus: Unconventional and Tight Reservoirs (July 2024)
Authors: Walker Larissa 
Published: July 2024

Unconventional reservoirs bear a unique perplexity in that, at every scale, they are different from their conventional counterparts and even one another. Small nuances in any one parameter can result in a vastly different well result, which may affect how an area, or even an entire play, is interpreted. This month’s selection of papers is all about those differences, in recognition that it is technology that drives innovation through understanding what these differences mean and how best to extract value from these vast resources.
Starting at the well scale and looking at the benefits of knowing the efficacy of each stimulation stage, paper URTeC 3864145 is from the Ordos Basin in China. Investigating hydraulic fracture performance on a stage-by-stage basis proves time and time again that understanding the details can improve overall development outcomes. The case study reviews two hydraulic fracture diagnostic techniques used in combination to determine water breakthrough and shutoff plans.
Zooming out to the play scale, paper SPE 216292 is focused on the most variable of unconventional reservoirs: the carbonate reservoir. This case study of the Austin Chalk formation in Texas analyses the production uplift from application of horizontal, multistage fracture stimulation technology in tight or fractured carbonate reservoirs. The application of unconventional technology in carbonate reservoirs can extended field life, and the deployment of this technology should be considered for any redevelopment or reassessment of potential resources trapped in tight carbonate reservoirs.
Finally, paper OTC 34832 draws on the concept of innovation that is required to unlock unconventional resources. Novel methods of stimulation are the cornerstone of unconventional technology in that well stimulation is a basic requirement of all low-permeability reservoirs. The paper describes a trial pilot from idea through execution from Kuwait Oil Company for enhanced oil recovery in tight formations using downhole hydrogen generation from in-situ exothermic multistage chemical reactions between two unique hydroreacting agents. The paper also provides lessons learned and optimization insights from the trial, concluding that a successful, low-cost alternative stimulation technique was demonstrated and repeatable.
Recommended additional reading at OnePetro: www.onepetro.org.
SPE 216139 Tight Gas Reservoir Characterization and Comparison of PLT Methods: Microseismic Monitoring, Fiber-Optical Production Logging, and Tracer-Coated Sand Monitoring Applied in the Same Well by Xiao Yao, Petrochina, et al.
SPE 216149 New Insight in Developing Tight Fractured Carbonate Reservoirs, Mishrif Formation, West Kuwait by M. El-Jeaan, Kuwait Oil Company, et al.
SPE 215712 Successful Utilization of In-Situ Dune Sands in Saudi Arabian Unconventional Frac Operations by Nahar Qahtani, Saudi Aramco, et al.
Experimental Evaluation of CO2-Soluble Nonionic Surfactants for Wettability Alteration to Intermediate CO2-Oil Wet during Immiscible Gas Injection
Authors: Torabi Farshid , Gandomkar Asghar 
Published: July 2024

Summary
The change in wettability of limestone reservoirs from oil-wet toward gas-wet can enhance crude oil production during immiscible CO2 injection. Therefore, in this research, we investigated the impact of wettability alteration to CO2-wet on oil recovery factor via dissolution of fluorine-free, CO2-philic, nonionic surfactants such as C4(PO)6 and C41H83O19 in CO2. Based on the cloudpoint measurements, the dissolution pressures of nonionic surfactants in supercritical CO2 ranged between 2,100 psi and 2,700 psi (below the reservoir pressure, i.e., 3,000 psi) at reservoir temperature, 65°C; these pressures are commensurate with CO2-enhanced oil recovery (EOR) pressures. Also, the C4(PO)6 and C41H83O19 can reduce the CO2-oil interfacial tension (IFT). Moreover, the CO2/C4(PO)6 and C41H83O19 solutions can change the limestone wettability from strongly oil-wet (Θ ~ 20o) to intermediate CO2/oil-wet (Θ = 95o and 110o) at reservoir conditions. The relative permeability curves also confirmed it by changing the curvature to the left and decreasing the residual oil saturation in both cases of CO2/C4(PO)6 and C41H83O19 solutions. The 20.8% and 13.1% additional oil recoveries were achieved during the 30,000 ppm CO2/C4(PO)6 and C41H83O19 solution scenarios, respectively, relative to the pure CO2 injection scenario. These nonionic surfactants are not able to make CO2-in-oil foam; therefore, wettability alteration and perhaps IFT reduction are the dominant mechanisms of EOR induced by the dissolution of nonionic surfactants in CO2, instead of CO2 mobility control. Consequently, the dissolution of fluorine-free, oxygenated, CO2-philic, nonionic surfactants (such as C4(PO)6 and C41H83O19) in CO2 at 30,000 ppm concentration can be a well-qualified candidate for altering the limestone wettability to intermediate CO2-oil-wet during the immiscible CO2 injection.
Deep brain stimulation of medial forebrain bundle modulates the noradrenergic activity and feedforward circuitry in rodent depression model
Authors: Döbrössy Máté , Duan Zhuo , Tong Yixin , Coenen Volker Arnd 
Published: July 2024

Abstract

Deep Brain Stimulation (DBS) of the superolateral medial forebrain bundle (MFB) has shown promising long-term anti-depressant effects in treatment-resistant depression patients, although its mechanisms are not clear. The study explores mfb-DBS mediated modulation of central noradrenaline (NA) transmission in a rodent depression model. Flinders Sensitive Line (FSL) rats, an experimental depression model, were used to examine the noradrenergic fibers' spatial distribution and myelination traversing the mfb. In vivo NA release in the medial prefrontal cortex (mPFC) and nucleus accumbens (NAC) was monitored with fiber photometry during unilateral mfb-DBS across diverse stimulation parameters. Stimulation induced changes in the parvalbumin-mediated feedforward microcircuitry and neuron activation were identified. Moreover, the activation of the ascending projected (A1, A2, A6) NA cell groups was quantified by c-fos staining, and the animals’ affective state monitored by ultrasonic vocalization recordings. Medial forebrain bundle NA fibers were predominantly unmyelinated and located in the medial quadrate. Stimulation increased mPFC NA release across both groups, but notably higher release was measured in the FSLs NAC. The depressive model also demonstrated more positive affective vocalizations post-DBS. The A1/ A2 cell groups in the FSLs had reduced activity, yet were reactivated by DBS, while the A6 group was highly active in both groups, albeit with a reduced neuron density in the depressive model. DBS normalized parvalbumin interneuron activity in the FSL rats. The study emphasizes the potential therapeutic role of MFB DBS in modulating NA system, providing insights into its anti-depressant mechanisms of action in major depression.
Mendelian randomization and single-cell analysis reveal relationships between sleep disorders and myocardial infarction
Authors: Luo Zhihuan , Song Pan , Xiong Bangji , Hao Kun , Liu Yongpan , Jiang Jinlong , Gong Xiaofang , Sun Min , Yao Luyuan 
Published: July 2024

Abstract

BackgroundMyocardial infarction (MI) and sleep apnoea are common diseases, and epidemiologic evidence suggests that the two are related.
Methods Our research relied on genome-wide association summary statistics (GWAS) pertaining to patients diagnosed with sleep apnoea, snoring, insomnia, or narcolepsy, as well as individuals diagnosed with MI. Using a bidirectional Mendelian randomization (MR) approach, we investigated the relationships between MI and sleep apnoea, snoring, insomnia and narcolepsy. In addition, colocalization analysis was used to identify genes whose increased expression may contribute to sleep disorders. Subsequently, we illustrated that the upregulation of these genes serves as a negative prognostic factor for MI through the application of summary-data-based MR (SMR). Furthermore, we analysedsingle-cell data obtained from individuals with MI to elucidate the subcellular localization of these genes and assess the enriched pathways.
ResultsBidirectional MR analysis suggested no causal association between sleep apnoea and MI. Snoring, insomnia, and narcolepsy are risk factors for MI. The genes associated with snoring, insomnia, and narcolepsy were all colocalized with eQTLs. SMR demonstrated that these genes are risk factors for MI. Single-cell analysis revealed that these genes were predominantly localized to cardiac endothelial cells and enriched in the Rap1 pathway.
Conclusion Our study revealedthat snoring, insomnia, and narcolepsy are risk factors for MI. The primary mechanism could involve sleep disorders inducing alterations in the expression abundance of LINC02210, LRRC37A, LRRC37A2, KANSL1-AS1, and DND1P1, thereby increasing the risk of MI via the Rap1 pathway.
"Demand and Consumption of Bananas (Musa spp.) in Tanzania"
Authors: George William 
Published: July 2024

Abstract

Bananas (Musa spp.) are a vital component of the diet, serving as a significant source of nutrition and income for people across urban and rural areas. The study was conducted to investigate the demand and consumption of bananas in Tanzania. The study utilized cross sectional data (2021) and time series data (2000–2021). The demand and consumption models were used as analytical tools. Key variables including price, income levels, and preferences were examined to understand their influence on banana demand and consumption. Results shows that elasticity of own price of banana was negative ranging from − 0.11 to -0.13 and statistically significant at 10% level. Cross-price elasticity with respect to cassava ranged from 0.06 to 0.08 and for sweet potatoes was 0.24. The income elasticity was positive ranging from 0.04 to 0.07 but significant. The elasticities of banana demand vary between urban and rural areas. Consumers in urban and rural areas was responsive to price stimuli. Price elasticities ranged from − 0.33 to -1.15 in urban areas and from − 0.48 to -1.01 in rural areas. The income elasticities were positive and significant for all regions. It is concluded that banana consumption was attributed to relative food prices, income, changing tastes and preferences.
A game-changing core-sheath yarn with large-scalable production to transform wool static nuisance into usable energy for wearable electronics
Authors: Qin Xiaohong , Xiong Chengdong , Luo Bin , Lei Sailing , Dai Linqi , Yu Jinlin , Wang Liming , Wang Rongwu 
Published: July 2024

Abstract

Wool fibers, commonly used in autumn-winter clothing, are prone to generating static electricity, leading to discomfort and safety concerns for wearers, thus posing a long-standing challenge for textile industry in developing simple and effective anti-static solutions. Herein, we introduce a game-changing core-sheath yarn (CSY) produced at a large scale (~ 6 m/min) through wrap spinning to transform wool's static nuisance into triboelectric energy. The CSY knitted fabric (CSYF) can simultaneously achieve excellent static elimination half-life (~ 0.21 s) and efficient energy conversion (~ 430 V, ~ 2.7 µA at 2 Hz). With good dyeability, considerably high flexibility (~ 200% stretchability), and exceptional output power (~ 740 mW m− 2), surpassing most yarn-based triboelectric textiles, CSYF demonstrates applications in power sources and self-powered sensing. This work offers a dual-benefit proposal for the green and sustainable conversion and utilization of challenging energy sources.
A Unique Case of Self-Resolving Multiple Intestinal Intussusceptions Concurrent with Inflammatory Gallbladder Polyps in an Adult
Authors: Malik Haris Mumtaz , Sabir Beenish , Mukona Doreen Macherera , Saleem Shafaq , Muneer Gulzeryam , Khalid Eeman 
Published: July 2024

Abstract

Background: Intestinal intussusception is the inversion of a portion of the proximal part of intestinal loop into the distal part of the loop. It leads to intestinal obstruction and vascular compromise. This predicament is rare in adults and is usually associated with benign or malignant neoplasms but very rarely with Gallbladder polyps.
Case presentation: We present a case of a 41 year old male, presenting with abdominal pain, alternating episodes of diarrhea and constipation and gaseous abdomen for the preceding 5 months. Patient had pallor of mucosa, no jaundice, normal scaphoid shaped and non-tender abdomen and unremarkable head and neck. On complete blood count (CBC) the patient had decreased hemoglobin and raised lymphocytes. Multiple gut intussusceptions were observed in 4 areas and multiple echogenic foci were also observed in the gallbladder. Laparoscopic cholecystectomy showed a densely adherent gallbladder. On exploratory laparotomy no intussusceptions were seen at the indicated areas but rather abnormal constrictions of the gut which indicated past intussusceptions, suspected to have spontaneously healed without intervention.
Conclusion: Intestinal Intussusceptions rarely occur in adults and are almost always accompanied by benign or malignant neoplasms. They rarely with illnesses such as gallbladder polyps. However, possibilities remain so these should not be ruled out without proper investigations. Proper follow up should therefore, be done owing to the possibility of recurrence.
Case report: Statin-induced rhabdomyolysis in a patient with SCLO1B1 gene abnormalities
Authors: Hoang Bùi Hai , Vu Dinh Hung , Dang Trung Anh , Dinh Michael M 
Published: July 2024

Abstract

Statin use can cause rhabdomyolysis, especially in patients with abnormalities in the SCLO1B1 gene, which transports statins into hepatocytes. We report a case study of a 53-year-old male patient with a mutation in the SCLO1B1 gene who was diagnosed with rhabdomyolysis complicated by acute kidney injury requiring renal replacement therapy. This case study highlights the importance of early detection and treatment of rhabdomyolysis in patients taking statins, particularly when genetic abnormalities are present.
Combining bioinformatics and network pharmacology to explore diagnostic biomarkers and mechanisms associated with mitochondria in diabetic nephropathy using Rhodiola Rosea
Authors: Wang Ruihua , Yang XiuJie , Fang Jingai , Zhang Ziyuan , Hu Yaling , Wang Xiaoyu , Guo Yuanyuan , Yang Runan 
Published: July 2024

Abstract

This study aimed to explore diagnostic biomarkers associated with mitochondria in the treatment of diabetic nephropathy (DN) using Rhodiola Rosea (RR) and to elucidate the underlying regulatory mechanisms. The target genes corresponding to the active ingredients of RR, mitochondria-related genes, and DN-related genes were intersected with differentially expressed genes from GSE96804 to obtain mitochondria-related pharmacopoeia genes (MRPGs). Based on these genes, a pharmacological network was constructed. Additionally, the biological pathways enriched by the diagnostic biomarkers, their correlation with the DN immune infiltration profile, and their binding ability to RR were analyzed. A total of 24 MRPGs against DN were identified using Venn analysis. Subsequently, six diagnostic biomarkers were screened by machine learning, namely CAT, CASP3, CPT1A, OGDH, CYP27B1, and ALDH9A1. Immune infiltration analysis showed eight differential immune cells between the DN and control groups, with macrophages M2 and neutrophils correlating with all diagnostic biomarkers. Based on the pharmacological network and molecular docking, two targeting relationship pairs were identified: CAT-RUTIN and ALDH9A1-RUTIN-2, both demonstrating good binding capacity. This study identified six diagnostic biomarkers for DN based on the effects of RR and mitochondrial function. The findings revealed the active components and potential molecular therapeutic mechanisms of RR in treating DN.
Rearrangement of anti-synchronous activities in the brain functional network plays a crucial role in behavioral contagion
Authors: Mobasseri Mohsen , Vahabie Abdol-Hossein , Jafari Gholamreza , Hatami Javad , Khosrowabadi Reza 
Published: July 2024

Abstract

Behavioral contagion has been defined as the tendency of individuals to imitate the behavior of others after observing them. Despite the important role that behavioral contagion plays in societies, its mechanism in the brain is still not fully understood. In this study, we hypothesized that the brain tends to go to a more stable state after updating behavior by observation of the others’ behaviors. Therefore, the stability of the brain network before and after observing others’ preferences was assessed using structural balance theory (SBT) on the fMRI data. To this end, we developed a version of the Dictator Game as the task, and recorded participants' brain responses using fMRI (before and after observing others' preferences). A threshold for changes in participants' preferences was considered to be the occurrence of behavioral contagion. With regard to this threshold, the participants were classified into two groups, the Contagion and No Contagion. The changes in SBT parameters of the brain network were calculated for both groups. A distinct pattern of changes in SBT parameters was observed for each group. The results of the Contagion group suggested that behavioral contagion is accompanied with a rearrangement of links in the network to transform imbalanced triads into balanced triads. This process lowers the balance energy of the brain network and pushes the network to a more stable state. We hope that these findings on the restructuring of the functional brain network could pave the way to a better understanding of behavioral contagion.
Harmonization of Longitudinal Diffusion Tensor Imaging Data of the Pediatric Cervical and Thoracic Spinal Cord at 3T Using Longitudinal ComBat
Authors: Li Yutong , Middleton Devon M , Chen Andrew , Shinohara Russell T , Krisa Laura , Faro Scott H , Mulcahey Mary Jane , Mohamed Feroze B 
Published: July 2024

Abstract

Diffusion tensor imaging (DTI) of the spinal cord has been extensively used to identify biomarkers for spinal cord pathology. Previously, the longitudinal ComBat (longComBat) technique was examined to reduce scanner effects in multi-site, multi-scanner spinal cord DTI data. This study aimed to assess its effectiveness on longitudinal scans using a single-scanner pediatric dataset, including healthy and spinal cord injury (SCI) subjects. Two identical datasets were collected from 42 healthy and 27 SCI subjects with a 2-hour interval between scans on a 3T Siemens MRI scanner. Axial DTI images of the entire cervical and thoracic spinal cord were obtained, and various average diffusion tensor metrics (FA, MD, RD, & AD) were measured at each vertebral level. Pearson correlation and intraclass correlation coefficients were used to evaluate inter- and intra-subject agreement pre- and post-harmonization. Minimal improvement in agreement was observed with the mean square residual (MSR) model, while the restricted maximum likelihood estimator (REML) model showed reduced intra-subject agreement in all the tensor metrics. The significant variability between longitudinal DTI scans within a single scanner was likely due to physiological motion rather than scanner effects. Post-harmonization using the longComBat MSR model showed limited improvement in agreement.
Green synthesis of silver nanoparticles (Ag) using Dracaena Sanderiana’s leaves extract and its structural, morphological, and antimicrobial study
Authors: Raikwar Vaishali , Jaiswar Vivek , Patil Vinayak , Golwalkar Sucheta 
Published: July 2024

Abstract

Silver (Ag) nanoparticles are one of the most studied and advanced functional materials. They are the potential candidates in almost every field of life. The useful properties are enhanced in various applications like sensors, catalysis, and antibacterial activity. The method of synthesis has a significant effect on the size and shape of silver nanoparticles. The green synthesis of silver nanoparticles using natural products has been an excellent solution for chemically derived silver nanoparticles. Herein, a rapid, process has been established using an extract from leaves of Dracaena Sanderiana (Lucky bamboo) plant, for the synthesis of metallic silver nanoparticles (Ag NP) for the first time. The synthesized Ag nanoparticles were characterized by X-ray diffraction (XRD), UV-visible spectroscopy, Fourier transform infrared spectroscopy (FTIR), and transmission electron microscopy (TEM). The agar cup diffusion method was used to check the antimicrobial effect of Ag NPs on different microorganisms with a zone of inhibition of 21 mm for gram-positive Staphylococcus aureus and 18 mm for gram-negative E. coli when 50 µg of Ag NPs were used. Thus, the silver nanoparticles are excellent antimicrobial agent.