bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sand Control Prediction and Advisory Automation: Malaysia's Cost-Effective Digital Transformation that's Contributing to Sustainability
Authors: Yap Bee Ching 
Published: October 2024

Abstract
Malaysia Petroleum Management (MPM) has embarked on a digital transformation journey of cloud-based sand control prediction and advisory automation with the support of PETRONAS Carigali and data science teams to address the oil and gas wells sanding pain points. Leveraging on its local regulatory advantage, consisting of petroleum engineering expertise and mass data from all the operating fields, the digitalisation of offset data into machine learning (ML) has enabled the nation's predictive solution to improve sand management strategy decision making.
The intelligent sand management system is developed through reliable ML interpretation principle to tackle the nation's sand control challenges. The system is trained to analyse rock mechanic data using several key parameters to predict unconfined compressive strength (UCS) value as the pre-requisite for sand production prediction. It analyses the subsurface sand management data lake and, with the system calculated UCS value, the suitable downhole sand control (DHSC) method will be advised based on well design inputs. The proposed DHSC design's high level well cost is also generated based on benchmarking.
Sand encroachment from producing sand reservoirs is one of the key issues in oil and gas wells. The erosion consequences in production facility due to sand production normally result in well integrity concern, loss of primary containment (LOPC) risk and subsequently the domino effect of undesirable health, safety and environmental (HSE) incident(s) at operators' producing asset.
Conventional well completion design addressing sand control requires significant time and resources to gather and perform sanding analyses and risk ranking from scattered subsurface data. Besides that, a costly reservoir sand core sample test and time-consuming studies for its strength normally will be performed to assist in better well design sanding risk profiling. It is common for the executed downhole sand control selection to be sub-optimum, resulting in earlier end of well productivity or costly remedial works.
However, the developed system can significantly reduce the sand control selection analyses and decision-making duration. It serves as a solution for the unavailability of core samples for UCS tests, or cost saving for marginal operator on rock mechanic test avoidance. The optimised DHSC algorithm provides better long-term sand control success rate and well life longevity. The system has proven data analytics result of above 0.91 R-Squared (R2) accuracy.
A similar approach can be referred by the industry to minimise sand control issue in current cost saving and digital business operating rhythm. This digital transformation approach has also contributed to reducing equivalent greenhouse emission from carbon dioxide (CO2) compared to traditional UCS laboratory test and lengthy DHSC method analysis processes.
Research on the Fracturing Technology of Three Steps Method for Tight Sandstone Gas: A Case Study in Songliao Basin, China
Authors: Duan Yongwei , Shao Guangchao , Hao Chuncheng , Wang Yanling 
Published: October 2024

Abstract
Tight sandstone gas is the main gas source for increasing storage and production in Songliao Basin, China. Due to the deep burial depth, poor physical properties, and small pore throats of the reservoir, large-scale fracture network fracturing leads to uncontrolled fracture height, resulting in effective fracture length, limited coverage, and poor stable production capacity.
A "three Steps Method" fracturing technology has been developed based on the concept that "fracture-controlled reserves are well-controlled reserves". three-stage fracture network stimulation technology controls near fractures and expands far fractures, conducting the network fracturing by taking advantage of the relationship between the two-dimensional stress difference of reservoirs and the net pressure of fracture extension. This technology splits fracturing into three stages: fracture forming stage, network forming stage, and fracture supporting stage. In this paper, the "Three Steps Method" fracture network stimulation technology is implemented in the YS303-3 well. The underground microseismic monitoring data are used to compare the high displacement fracture network stimulation of adjacent wells. The results show that the length and width of the fractures in the well after implementing the technique increased by 1 and 0.7 times, respectively. The volume of the stimulated reservoir increases by twofold and the daily gas production of this well rises to 3.9×104m3, marking an increase of 30% in gas production compared to the adjacent well. The three-step fracturing method is subsequently applied to 6 wells, which increases the average stable gas production to 5.3×104m3 per well, accounting for a production increase of over 50%.
The "three Steps Method" fracture network stimulation has emerged as a critical method for optimizing storage and production in tight gas reservoirs. It offers opportunities for advancement and implementation, providing technical support and reference for the effective utilization of unconventional resources.
Research and Application of Fracturing Huff and Puff Technology in Low Permeability Reservoirs
Authors: He Dingkai , Huang Tianjie , Mao Jianying , Li Dongxu , Sun Yanyu 
Published: October 2024

Abstract
As low-permeability reservoirs are being developed, the formation pressure and production gradually decrease, and the effectiveness of using conventional huff and puff techniques to improve single well production is deteriorating year by year. To address this issue, this article proposes a fracturing based huff and puff technology.
Fracturing huff and puff technology is mainly divided into three stages. The first stage is energy storage, in which low displacement water is injected to supplement formation energy, the second stage is oil washing, in which high displacement water is injected into nano micro lotion to improve formation oil washing efficiency, and the third stage is capacity expansion, in which high displacement water is injected to replace nano micro lotion to expand oil washing coverage.
Fracturing huff and puff technology was implemented in 10 wells in the low-permeability reservoir, resulting in an average cumulative increase of 203.65 tons of oil. Taking the typical well M130-4-8 as an example, firstly, during the energy storage stage, the injection rate is optimized to 2m3/min and the liquid volume is 1000m3 through reservoir conditions and numerical simulation. Secondly, in the oil washing stage, through indoor performance evaluation and numerical simulation optimization, 1700m3 nano-microemulsion with oil washing efficiency &gt; 40% and solution particle size &lt;15 nm was injected with a displacement of 3 m3/min. Finally, during the capacity expansion stage, numerical simulation was used to optimize the injection rate of 3m3/min and liquid volume of 600m3.
The use of fracturing huff and puff technology for energy storage, oil washing and capacity expansion has significantly increased the production capacity of a single well, effectively supporting the development practice of fracturing huff and puff technology in low-permeability old area reservoirs. The next step is to expand its application in low-permeability old area reservoirs.
Effect of Methyl Orange and Methylene Blue on the Wettability of Organic Acid Aged Sandstone and Carbonate Formations: Implication for CO2 and H2 Geo-Storage.
Authors: Fatemah Alhammad , Mujahid Ali. , Stefan Iglauer , Alireza Keshavarz 
Published: October 2024

Abstract
Underground storage of carbon dioxide (CO2) and hydrogen (H2) in geological formations has been considered an effective method for the energy transition towards a low-carbon industry. The wettability of the rock is a significant parameter for underground gas storage, determining both the storage capacity and containment safety. This study focuses on using two chemicals, methyl orange (MO) and methylene blue (MB), as wetting agents at different concentrations (10 to 100 mg/L) to change rock wettability and improve the storage capacity of CO2 and H2.
To achieve this, the contact angle measurement technique was utilised to measure the advancing (θa) and receding (θr) contact angles under reservoir conditions, with a constant pressure of 13 MPa for the hydrogen system and 20 MPa for the CO2 system, temperatures of 25°C and 50°C, and a brine salinity of 0.3 M NaCl. To mimic reservoir conditions, the surfaces of both calcite and quartz samples were treated with stearic acid before being exposed to the wetting agent chemicals. Although the surfaces of these treated samples are hydrophobic, modifying their surfaces with even a very trace concentration of MO or MB significantly alters the wettability from hydrophobic to hydrophilic. This demonstrates that the presence of organic acids can affect the storage capacity of CO2 and H2 in reservoir rock. However, injecting even a very diluted amount of MO or MB into sandstone and carbonate geological formations can increase CO2 and H2 storage capacity.
Multi-Lateral Level-5 Completion: A Cost-Effective Solution for Marginal Oil Fields Development, First Business Case
Authors: Arif Naveed , Almuhairi Sharina , Abdulla Ruaa , Alkhalaqi M. F. , Jamal Muna , Wibowo Satrio , Alnuaimi Mohamed Ahmed , Ali M. , Talal Hend , Salam F. A 
Published: October 2024

Abstract
This paper aims to analyze the impact of appraising and developing marginal fields with multiple stacked reservoirs which is quite challenging in terms of techno commercial value. The development of such marginal reservoirs using conventional single horizontal wells drilling and completion is uneconomical. Therefore, it was necessary to engineer a solution that can enhance the commercial value of the project by reducing CAPEX and OPEX. This paper will present the first comprehensive business case, where multiple stacked reservoirs with marginal reserves were studied to produce independently using multilateral completions, granting full accessibility of the laterals while achieving production monitoring and reservoir surveillance.
The Synaptic Architecture of Layer 5 Thick Tufted Excitatory Neurons in the Visual Cortex of Mice
Authors: Costa Nuno Macarico da , Bodor Agnes , Schneider-Mizell Casey , Zhang Chi , Elabbady Leila , Mallen Alex , Bergeson Andi , Buchanan JoAnn , Bumbarger Dan , Dalley Rachel , Gamlin Clare , Kapner Dan , Kinn Sam , Seshamani Sharmishtaa , Suckow Shelby , Takeno Marc , Torres Russel , Yin Wenjing , Bae J. Alexander , Castro Manuel , Dorkenwald Sven , Halageri Akhilesh , Jia Zhen , Kemnitz Nico , Lee Kisuk , Li Kai , Brittain Derrick , Joyce Emily , Mahalingam Gayathri , Jordan Chris , Lu Ran , Macrina Thomas , Mitchell Eric , Mondal Shanka Subhra , Mu Shang , Nehoran Barak , Popovych Sergiy , Silversmith William , Turner Nicholas , Yu Szi-chieh , Wong William , Wu Jingpeng , Celii Brendan , Campagnola Luke , Seeman Stephanie , Jarsky Tim , Ren Naixin , Arkhipov Anton , Reimer Jacob , Seung H. Sebastian , Reid R. Clay , Collman Forrest 
Published: October 2024

Abstract

The neocortex is composed of microcircuits built from distinct cell types. Despite significant progress in characterizing these cell types, understanding the full synaptic connections of individual excitatory cells remains elusive.
This study investigates the connectivity of arguably the most well recognized excitatory neuron in the neocortex: the thick tufted layer 5 pyramidal cell also known as extra telencephalic (ET) neurons using a 1 mm3 publicly available electron microscopy dataset.
The analysis reveals that in their immediate vicinity ET neurons primarily establish recurrent connections with a specific group of inhibitory cell types. The most common excitatory targets of ET neurons are layer 5 IT neurons and layer 6 pyramidal cells, whereas synapses with other ET neurons are not as common. When ET cells extend their axons to other cortical regions, they tend to connect more with excitatory cells. Our results highlight a specific circuit pattern of a L5ET neuron using an automated approach for synapse recognition and automated cell typing, which is publicly available offering a framework for exploring the connectivity of other neuron types.
Clients’ Experiences and Satisfaction with an Integrated Intensive Outpatient Program for Substance Use Disorders
Authors: Bador Kourosh , Johansson Catrin , Axelsson Ida , Nilsson Maja , Kerekes Nóra 
Published: October 2024

Abstract

Comorbidity between substance use disorders and other mental health conditions is common, yet existing treatments often fail to address its full spectrum. Opportunities for integrated treatment are limited, and the effects of such treatment remain relatively unexplored. This study aims to describe the experiences of individuals with substance use disorders who received treatment at an integrated intensive outpatient addiction-care clinic. Utilising a survey with quantitative measures and qualitative questions with free-text responses, the experiences of 65 clients who had completed the programme between 2015 and 2021 were evaluated. The findings indicated that most clients were highly satisfied with the treatment. The analysis revealed three main categories: strong relationships and a comprehensive treatment programme; engaged and knowledgeable staff who lead with warmth; and self-development through new experiences. Overall, clients reported high levels of satisfaction with the integrated intensive outpatient programme. Despite these positive outcomes, this study highlights the need for further research on, knowledge about and competence in the development of integrated treatment interventions for individuals with substance use disorders.
Spinal signatures of entrenched and treated neuropathic pain
Authors: Neely G , Loo Lipin , Fujikake Kazuma , Saad Sasha , Clark Teleri , Hamoudi Zina , Manion John , Caron Leslie , Davis Olivia , Tavares-Ferreira Diana , Shiers Stephanie , Powell Joseph , Price Theodore 
Published: October 2024

Abstract

Chronic pain arises from an imbalance between excitation and inhibition. For chronic pain caused by peripheral nerve injury, sensory neuron damage leads to changes in spinal pain transduction, where enhanced excitatory and/or loss of inhibitory pathways can drive pain diseases. At the cellular level, the transcriptional changes occurring in entrenched chronic pain are largely unknown. Here we use single nuclei and spatial transcriptomic approaches to investigate the cellular and molecular causes of entrenched and treated neuropathic pain. Our data rules out a loss of spinal inhibitor neuron populations or transcriptional downregulation of inhibitory machinery, and instead we show that nerve injury leads to broad upregulation of spinal synaptic and excitatory pathways in dorsal neuronal and glial populations. We confirm these core populations are conserved in the human spinal cord, and show an effective pain therapy acts by dampening these neuropathic transcriptional programs. Overall, our data provides the first high resolution transcriptional analysis of the neuropathic spinal cord, highlighting known and novel pathways that may help us better manage pain diseases.
UDP-Glucuronosyltransferases 2A3 as a biomarker for ulcerative colitis and colon cancer
Authors: Chen Hao 
Published: October 2024

Abstract

Background
Ulcerative colitis has a serious impact on the quality of life of patients and is more likely to progress to colon cancer. Early diagnosis and timely intervention of ulcerative colitis are of great significance.
Methods
Gene expression data of active ulcerative colitis were downloaded from the GEO database, and genes with significant differential expression were identified. Biochemical markers with diagnostic significance were selected through machine learning methods. The expression differences of the selected markers between COAD and normal control groups in the TCGA database were also understood, and the diagnostic efficacy of these markers for COAD was observed. In addition, the correlation between the selected markers and clinical indicators, as well as their predictive efficacy for the survival of COAD patients, was explored.
Results
Through machine learning and LASSO regression analysis, UGT2A3 was finally determined as a diagnostic marker for ulcerative colitis. It showed good diagnostic efficacy in both the training set and the external validation set. Meanwhile, UGT2A3 was significantly downregulated in COAD tissues compared to normal control tissues. The ROC curve suggested that UGT2A3 could serve as a diagnostic marker for COAD with high diagnostic efficacy, with an AUC of 0.969. Immune infiltration analysis indicated a significant negative correlation between the expression of UGT2A3 and neutrophils. Correlation analysis suggested the association of UGT2A3 with the pathological classification of colon cancer. Survival analysis showed that UGT2A3 is negatively correlated with OS, PPS, and RFS in colon cancer.
Conclusion
We identified UGT2A3 as a diagnostic marker for ulcerative colitis through bioinformatics methods, and verified its significant downregulation in colon cancer, as well as its predictive role in the survival of COAD patients. It may serve as a diagnostic marker for ulcerative colitis and colon cancer, and also provide certain guidance for the prognosis of colon cancer patients.
Ethnic differences in efficacy of drug treatment in patients with an acute manic episode: an individual patient data meta-analysis of randomized placebo-controlled trials
Authors: Storosum Bram W.C. , Cohen Sem . E. , Steinz Cedrine , Mattila Taina , Welten Carlijn , Brink Wim , Roes Kit , Haan Lieuwe , Denys Damiaan A.J.P. , Zantvoord Jasper B. 
Published: October 2024

Abstract

Background
Little is known about the effect of ethnicity on drug treatment in patients with an acute manic episode. The aim of this study is to determine whether ethnicity moderates the response to drug treatment in patients with an acute manic episode, and whether this moderation is independent of potential confounders.
Methods
We analysed ten short-term placebo-controlled registration trials of atypical antipsychotics and anticonvulsive mood stabilizers in patients with an acute manic episode (n = 2199). A one-step random effects individual patient data meta-analysis (IPD) was applied to establish the moderating effect of ethnicity on symptom improvement on the Young Mania Rating Scale (Y)MRS and on response defined as 50% (Y)MRS symptom reduction. These analyses were corrected for baseline severity, age, and gender. A two-step IPD comparing these outcomes between White, Black and Asian patients. Additionally, a conventional meta-analysis was performed to determine the effect size of drug treatment separately for these ethnic groups.
Results
In the complete dataset, 60.4% of the patients was White, 8.0% was Black, 12.7% was Asian, 33.7% was of other ethnicities. Ethnicity did not significantly moderate the efficacy of drug treatment: pooled beta-coefficient (β) for the interaction between treatment and the ethnicities White, Black and Asian, varying from 0.889 to 0.899 with overlapping confidence-intervals ranging from 2.356–2.430 in the main analysis. The drug treatment effects were significant in all three analysable ethnicity groups compared to placebo.
Discussion
In White,Black, and Asian patients with an acute manic episode drug treatment is equally effective.
Knowledge and Motivators Towards Palliative Care Among Cancer Patients in a Tertiary Health Facility in Southwest Nigeria
Authors: Adegbesan Abiodun , Nyirenda Thomas , Akinwale Mukaila , Afolabi Aanuoluwapo Adeyimika , Akingbola Adewunmi 
Published: October 2024

Abstract

Introduction
This study aimed to describe the knowledge and motivators towards palliative care among cancer patients receiving oncology care at a tertiary health facility in Nigeria.
Methods
This cross-sectional study was conducted among 200 adult cancer patients at the University College Hospital, Ibadan, Nigeria across the Radiation oncology, Gynaecological oncology, Otorhinolaryngology, Oral and Maxillofacial surgery, Surgical oncology, and medical oncology departments and/or clinics. Data were collected using the National Cancer Institute’s 2018 Health Information National Trends Survey (HINTS 5) Cycle 2 survey questionnaire. Data were summarised using descriptive statistics. Knowledge scores were computed, and individuals with scores corresponding to < 50% of the composite results were said to have poor knowledge of palliative care. A binary logistic regression model was employed to determine the predictors of good knowledge of palliative care (p < 0.05).
Results
The mean age of the cancer patients was 51.3 ± 4.2 years and the mean length of diagnosis was 11.2 ± 2.3 months. In all, 93 (46.7%) had completed tertiary education, and 144 (72.7%) lived in an urban community. In all, 55 (27.5%) people had good knowledge of palliative care. Overall, 4 (12.9%) cancer patients with primary or no formal education had good knowledge of palliative care compared to 7 (9.5%) with secondary education and 46 (49.5%) with tertiary education (p = < 0.001). Also, 5 (9.3%) of those living in rural areas had good knowledge of palliative care compared to 49 (34.0%) living in urban areas (p = < 0.001). Cancer patients with tertiary education had 25 times higher odds of good knowledge of palliative care compared to those with primary or no formal education (AOR = 24.98, 95%CI = 2.41-258.46, p = < 0.001). Likewise, cancer patients that lived in urban areas had four times higher odds of good knowledge of palliative care compared to those living in rural areas (AOR = 4.39, 95%CI = 1.08–17.85, p = 0.04).
Conclusion
Poor knowledge of palliative care exists among cancer patients. Stakeholders in the governmental and non-governmental agencies should undertake programs and schemes to increase knowledge of palliative care, especially among poorly educated persons and rural dwellers.