bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validity and Reliability of Roland-Morris Disability Questionnaire: Cross-Cultural Adaptation Study for Low Back Pain Disability
Authors: Regina Ni Kadek Pramesti , Negara Anak Agung Gede Angga Puspa , Kinandana Gede Parta , Sugiritama I Wayan 
Published: February 2025

Introduction: Around 60-80% of individuals experience low back pain in their lifetime, often leading to disability. The Roland-Morris Disability Questionnaire (RMDQ) is a tool used to assess disability caused by low back pain, measuring its impact on daily activities. To ensure its effectiveness, it is crucial to test the questionnaire's validity and reliability in different cultural contexts.
Methods: This study employed a descriptive survey method and a cross-sectional design with a purposive sampling technique, involving 124 subjects. Content validity was assessed through expert evaluation using the Content Validity Index (CVI), while construct validity was measured using Pearson Product-Moment Correlation. Reliability was evaluated through Cronbach’s Alpha to assess internal consistency.
Results: The analysis revealed weak to moderate construct validity values (0.361–0.402) and excellent content validity index scores (S-CVI/Ave=1). Reliability analysis demonstrated good reliability with a Cronbach’s Alpha value of 0.725.
Conclusion: The Indonesian version of the RMDQ questionnaire is valid and reliable for evaluating low back pain disability. It is suitable for use in clinical practice, enabling Indonesian patients to comprehend the questionnaire without losing the essence of the original version. Further research is needed to explore the onset and causes of low back pain disability in more depth.

Keywords: cross-cultural adaptation, validity, reliability, Roland-Morris Disability Questionnaire, Indonesia
Hospital Admissions and Mortality in Adults With Congenital Heart Disease in Bahia: a Temporal Analysis
Authors: Freitas Yhana Karoline Silva , Jesus Ana Paula Santos de , Cardoso Monneglesia Santana Lopes , Silva Filho Aloisio Machado da , Nascimento Patricia Veiga , Barbara Josele de Farias Rodrigues Santa , Militão Thayná Oliveira , Freitas Katia Santana 
Published: February 2025

Objective: to analyze cases and deaths due to congenital heart disease in adults in the State of Bahia, and estimate the temporal trend

Theoretical Framework: congenital heart diseases are changes in the cardiac anatomy that affect the individual since birth. Monitoring these pathologies is necessary, due to complications that compromise the health status and quality of life of the affected population.

Method: ecological time series study. Records from the SUS Hospital Information System (SIH/SUS) from 2011 to 2021, and the Mortality Information System (SIM) from 2011 to 2020 for congenital heart disease were used. The sociodemographic and statistical analysis was carried out using the R language.

Results and Discussion: the majority of hospitalizations were women (58.7%), adults between 20 and 39 years old (39.54%), self-declared mixed race/color (42%). The observed underreporting of race/color was significant (45.46%). The prevalence of deaths among younger people was higher (42.5%), as well as in the mixed race group (55.1%), single people (43.1%) and those with less than four years of study (38.3%). The research identified a temporal trend of increasing prevalence of congenital heart diseases in adults and greater mortality in young, mixed-race and male adult patients.

Research Implications: importance of planning health interventions for the most vulnerable groups, as the variables found are dependent on health outcomes.

Originality/Value: this study contributes to the literature by highlighting the influence of sociodemographic factors on health outcomes, even when it is a condition inherent to birth.
A Practical Approach to Data Digitalization Application for Boosting Production Enhancement Activities in Malaysia's Aging Brown Fields Following the Feasibility Study of Electrical Submersible Pump at the National Level
Authors: Segaran T. Chandra , Sidek M. A. M. , Trjangganung K. , Kamaruddin I. I. , Ahnap M. A. S 
Published: February 2025

Abstract
With over 80% of Malaysia's fields relying on gas lift, a late life crisis is evident, prompting secondary and tertiary production enhancements to sustain oil production. Challenges like gas lift gas shortages, aging facilities, and increased water cut possess efficient oil recovery limitations, which fueled the demand for an alternative lift technology in offshore Malaysia brown fields. However, replacing a gas lift system is a tedious task. This study proposes an automated screening method swiftly identify candidates, reducing the time and workforce needed to select from hundreds of wells and streamlining production optimization activities for brown fields selected in offshore Malaysia. This data input and analysis automation system will be tested with data from multiple fields to pre-screen the strings and establish a basket of opportunities before proceeding with screening using well modeling. From the vast number of attributes used in this study, essential parameters that will be used for candidate screening have been identified. The automation of this data for screening enables narrowing down the number of potential candidates for modeling and detailed analysis. Electrical submersible pump (ESP) design and economic analysis will be done once the candidate has been finalized through well modelling. Critical parameters such as remaining reserve, absolute open flow, well angle, dog leg severity, the latest liquid rate, the latest oil rate, the latest water cut, the latest gas oil ratio, sand count and identified integrity issues are essential for a production enhancement activity. By digitalizing this data, automation will ease the path to identify a pool of production enhancement candidates out of hundreds of strings in a field. The identified candidate will proceed to the maturation process where well modeling, design, and economic analysis will be conducted. This process saves time and increases the number of candidates available for production enhancement activities in a field. This automation process is not limited to identifying ESP candidates but can also be used for stimulation candidates, gas lift optimization candidates, and water shut-off candidates as well. This automation of the screening method demonstrates significant time savings by processing and analyzing data efficiently. Therefore, the automation approaches are expected to provide a pool of candidates and identify a basket of opportunities for production enhancement activities, subsequently revolutionizing the well modeling process and improving decision-making during candidate maturation. In conclusion, the system hopes to improve the candidate identification process on a larger scale.
Evaluation of Enhanced Drilling Dynamic Sensor Positioning in Drill String Resulted in Substantial Improvements in Operational Efficiency and Cost Reduction: North Sea Case Study Analysis
Authors: Pourtangestani Mehdi , Alemi Hassan , Maliekkal Harish , My Lien Ta , Khoobyari Hamid 
Published: February 2025

Abstract
Industry has been actively integrating advanced solutions to enhance drilling efficiency and reduce Non-Productive Time (NPT), which are critical to any drilling project. As a result, use of downhole drilling sensors has become increasingly common, from vertical to complex well profiles. These sensors enable real-time monitoring of downhole drilling dynamics, allowing for parameter adjustments that extend bit life, reduce Bottomhole Assembly (BHA) wear, and improve overall operational performance.
This approach aimed to minimize drill string dysfunctions caused by interactions between drill string components and formation layers of varying compressive strengths, which can lead to dynamic vibrations. To determine ideal placement of real-time downhole sensors in the drill string, Finite Element Analysis (FEA) was employed for simulations and modeling, incorporating field operational criteria to evaluate BHA configurations. The simulations produced high-frequency measurements, which were validated using offset data from actual field runs, confirming the accuracy of the results.
The results highlighted that real-time sensor placement near cutting elements in the BHA, particularly above the BHA steering drive and close to the drill bit, could significantly improve drilling performance. This optimized configuration, enriched by real-time downhole data, enhanced the drilling process without compromising the steering efficiency required to meet trajectory goals as demonstrated in the presented case study for the reliability and consistency of this engineering analysis, by early detection of drill string dysfunctions, including shock and vibration, led to higher mitigation capabilities, resolving string hanging issues in rotary mode and improving overall control and effectiveness.
Field results showed a remarkable 50% increase in the rate of penetration (ROP) and a reduction in total bit runs, resulting in enhanced operational productivity and saving over $2 million in overall drilling costs. This study, leveraging case data from the North Sea, United Kingdom, provides valuable insights into optimizing downhole sensor placement in the BHA. By enabling early detection of drilling dynamics and minimizing downhole vibrations, this approach significantly reduces NPT and hidden costs in drilling projects.
The Hydrogeological Modeling for Geological Carbon Storage in the Kanto Plain, Japan
Authors: Ishise Y. , Shimamoto T. , Kobayashi Y. , Yoshioka M. , Ikawa R. , Machida I. 
Published: February 2025

Abstract
Many large-scale geological carbon storage (GCS) projects targeting saline aquifers are ongoing or being planned in various areas of the world, aiming at sufficient carbon offset to suppress global warming. In conducting GCS in saline aquifers, it is important to understand the regional groundwater flow from the viewpoint of long-term safety as well as appropriate evaluation of the storage volume. These issues can be achieved by appropriate boundary conditions considering groundwater flow in the numerical simulation for GCS. In this study, we propose a quantitative workflow to assess the impact of groundwater flow on CO2 plume migration in GCS, through the case study for the Kanto Plain, Japan. In this workflow, we constructed a regional hydrogeological model and performed simulation of CO2 injection into this hydrogeological model.
The regional hydrogeological model for the Kanto Plain was constructed based on the published information including geological information and chemical properties of groundwater. We compiled chemical properties of groundwater, especially Cl- concentration and stable isotope ratio, and evaluated their distribution. Those distributions are summarized in the conceptual model.
To reproduce groundwater flow on the conceptual model and the analytical results of chemical properties distribution, a numerical simulation was conducted. History match for the numerical model was conducted with the distribution of salinity, and good match was obtained by changing permeability distribution. From this hydrogeological model, it was found that the flowing velocity below the saltwater-freshwater interface is very limited, ranging from 0.1 mm/year to several mm/year.
We conducted simulation of CO2 injection on the numerical hydrogeological model. CO2 injected below saltwater-freshwater interface are almost nothing affected by the ground flow because the flowing velocity of groundwater at the layers is very limited.
Re-Imaging of Complex Carbonate and Pre-Rift Geological Setting in Ultra Deep Water, Offshore Sabah
Authors: Do Hoang Lam , Teng Keat Huat , Chan Daniel , Ernst Fabian , Khiong Luk Chee , Ibrahim Abdel Rahman , Light Linibid , Halim Nik Nur , Bt M Zohdi Siti Fahimah , Ghazali Mazlan B 
Published: February 2025

Abstract
Off the coast of Sabah, offshore Malaysia, there are typically imaging issues arising from a complex geological overburden containing carbonate bodies with highly spatially varying velocities that creates structural undulation at the target level. In this study, we demonstrate the application of the latest seismic imaging technology such as Dynamic-Resolution Time-Lag Full Waveform Inversion (DR-TLFWI; Wang et al., 2023) and Q-Reverse Time Migration (Q-RTM) to successfully resolve the challenging imaging issues related to shallow gas, complex carbonate, and volcanic geology setting in a deepwater environment. Dynamic resolution Time-lag Full waveform inversion utilizes both diving waves and reflections for velocity update with optimized low- and high-wavenumber components, to resolve the velocity in the deeper part of the image that lies beyond the reach of diving waves. This Full Waveform Inversion (FWI) algorithm with dynamic weighting applied to different gradient components also enables more effective utilization of the full wavefield. The imaging uplift from this FWI results in less structural undulations in the carbonate structure, potentially reducing uncertainties in the subsequent exploration. The results of re-processing also have provided improved seismic images for reservoir delineation and characterization, and better understanding of the stratigraphy and structures in this complex geological setting.
Identification and Interpretation of a Curved Oil Water Contact in a Carbonate Reservoir: A Case Study from Khasib Limestone, Ah Field, Iraq
Authors: Chen Mingjiang , Zhang Qing , Li Hongxi , Li Xiansheng , Li Sijia 
Published: February 2025

Abstract
The Khasib limestone holds over 60% of the oil reserves in the Ah oil field in Iraq. During production, water has been observed flowing from the structural high while oil is produced from the flank area, a phenomenon that cannot be explained by a simple tilted oil-water contact (OWC). This paper aims to identify the realistic OWC and to uncover the mechanisms responsible for the significant OWC variation.
The Khasib reservoir is divided into seven distinct horizons based on lithofacies and petrophysical properties. For each horizon, a characteristic point was selected on well logs to obtain corresponding resistivity and elevation values. Cross plots of resistivity versus elevation were used to determine the OWCs for each horizon, and the elevations of the oil-down-to (ODT) and water-up-to (WUT) levels were established by analyzing trend lines in the variation. Additionally, seismic techniques were employed to visualize structural evolution, while oil migration history was examined to explain OWC variations.
Findings indicate that differences in pore structure contribute to OWC variations across horizons. Rocks dominated by micropores have smaller pore throats and higher OWCs, while rocks with interparticle pores or selective solution vugs have larger pore throats and lower OWCs. Persistent tectonic activity since approximately 80 million years ago has transformed the structural trap, and multiple phases of oil accumulation have led to lateral variations in oil saturation, resulting in a curved OWC within the Khasib reservoir. The OWC tilts from west to east along the structure's long axis. Along the short axis, the contact level in the northern and southern flanks is lower than at the structural crest, with the lowest contact occurring in the northeastern flank of the field.
The curved OWC is confirmed by production performance data from over 260 horizontal wells and core observations, providing valuable insights for optimizing the field development plan and predicting additional reserves in the eastern area of the field. Furthermore, this study suggests that OWCs in carbonate reservoirs can exhibit curved forms, offering a beneficial perspective for analyzing similar fields.
Research On The Catalytic Role Of Nano-clays On The Pyrolytic Reforming And In-situ Hydrogen Generation Of Heavy Oil
Authors: Luo Chen , Liu Huiqing , Huang Yaowei , Lv Xueying , Liu Renjie 
Published: February 2025

Abstract
In-situ combustion gasification (ISCG) provides a promising pathway for the conversion of petroleum resources into clean hydrogen energy. This is achieved through the in-situ hydrogen generation (ISHG) via hydrothermal cracking reactions during the combustion process. Nano-clays exhibits excellent thermal stability, strong adsorption capacity, and ion exchange capabilities, making it an outstanding acidic catalyst for the thermal decomposition reactions of heavy oil.
This study investigates the catalytic role of different nano-clays on cracking and upgrading of heavy oil, as well as ISHG through gasification. Experimental trials were conducted using nano-clays and various oil samples, employing isothermal pyrolysis experiments to analyze the influence of nano-clays on the composition and properties of both gas-phase and liquid-phase products via chromatographic analysis. Furthermore, thermal gravimetric-mass spectrometry (TG-MS) was employed to study the catalytic role of nano-clays on the thermal decomposition and gasification of heavy oil for hydrogen production. The hydrogen gas yield and hydrogen generation efficiency (HGE) were determined using equivalent carbon spectra analysis (ECSA).
Due to the strong adsorption capabilities of nano-clays, polar components within heavy oil are thoroughly adsorbed, facilitating more comprehensive thermal cracking reactions under high-temperature conditions. Chromatographic analysis indicates a significant increase in the content of light hydrocarbon fractions in the oil phase after the addition of nano-clays. Thermal in-situ gasification becomes more thorough, resulting in a notable elevation in the content of light hydrocarbons in the gas phase and a greater generation of hydrogen. TG-MS and ECSA demonstrate that the catalytic action of nano-clays, particularly at their strong Lewis and Brønsted acid sites, accelerates the onset of hydrogen generation during thermal decomposition and gasification of crude oil. The ECSA reveals that nano-clays can increase hydrogen production and enhance HGE. The acidic catalytic and ion exchange properties of nano-clays facilitate the occurrence of ISHG primarily before the stage of fuel deposition, while also being influenced by the composition and moisture content of the oil sample. Hydrogen, as a clean and green energy source, boasts high energy density and generates no pollution during combustion. Nano-clays provide an economically efficient method and pathway for catalyzing in-situ gasification of heavy oil to produce hydrogen, while also enhancing the effectiveness of thermal cracking and reforming of heavy oil.
Revolutionising Pad Trajectory Design: An Innovative Algorithm for Enhanced Design Efficiency and Quality
Authors: Jin Peng , Liu Qing , Jiang Lu , Li Wei , Yu Tao 
Published: February 2025

Abstract
A key challenge in the planning stage of pad drilling is the close proximity of well placements, making the anti-collision escape strategy very challenging. Well designers need to spend long hours adjusting the trajectories. This paper proposes a new workflow to automate the multiple trajectory design for pad drilling to improve efficiency and alleviate human labor. It only requires the surface locations and targets with preferred trajectory profile configuration input to generate feasible trajectories on a pad.
Data analytics were performed to reveal the principal features of pad wells and classify pads into a finite list of pad patterns. Commonly employed collision avoidance strategies were identified from the data and embedded into the templates. An algorithm based on the minimum curvature method was designed to generate the layout and geometry of all the trajectories on the same pad, which spreads out the vertical section by auto-adjusting nudge azimuth and direction for collision avoidance and builds up, preferring single curve for ease of operation. Trajectories can be visualized and adjusted on the pad level and further fine-tuned interactively.
It was tested with numerical experiments using several pads of different scales. Drillable trajectories for each pad can be generated in less than 1 second. The algorithm can either mimic the profiles of the manual designs or propose completely different designs based on different pattern configurations. To compare the output with the original designs, we define an evaluation table for each output set of pad trajectories, with key geometry information and estimated engineering analysis, including anti-collision, T&D, etc. This KPI table can also be used to evaluate the existing pad designs and assist users in decision-making.
A usability test with user interviews was conducted for this new algorithm, which proved its value in the conceptual design stage for the whole pad design. The workflow provides immediate interactive visualization and comprehensive information on the overall KPIs and makes it easy to compare different plans. The interview also reveals specific user needs and habits in different basins and scenarios, guiding the direction for further algorithm improvement.
With this fast multiple trajectory generation algorithm, pad design and optimization efficiency can be boosted, laying the foundation for safe, efficient operation while maximizing the return of investment.
Optimization of Inflow Control Device Completion Design Using Metaheuristic Algorithms and Supervised Machine Learning Surrogate
Authors: Tan C. , Chua A. , Muniandy S. , Lee H. , Chai P. 
Published: February 2025

Abstract
Inflow control device (ICD) completion design optimization is crucial for maximizing hydrocarbon recovery and net present value (NPV) in horizontal wells with heterogeneous reservoirs properties. However, conventional workflows often suffer from high computational costs and limited exploration of the vast solution space. This study presents an innovative approach that integrates machine learning surrogate modeling with the African Buffalo Optimization (ABO) algorithm to address these challenges.
A case study on a synthetic reservoir model based on the Gullfaks oil field demonstrates the effectiveness of this approach. Latin Hypercube Sampling was initially used to generate training data for surrogate models, but the bias towards low-NPV cases limited their predictive accuracy. Incorporating high-quality training data with more high-NPV examples significantly improved performance, with LightGBM consistently outperforming other algorithms. The enhanced ABO-LGBM optimizer achieved a 29.77% increase in NPV compared to the open hole (OH) case, showcasing the superior capability of the integrated workflow. While computationally more intensive than simpler models, the improved accuracy of LightGBM justified the trade-off. The study also revealed the complex interaction of fluid flow dynamics and reservoir heterogeneity, emphasizing the need for further research in ICD optimization. The proposed workflow significantly reduced computational time and SME man-hours for up to 75%, offering a promising pathway for enhancing the efficiency and effectiveness of ICD completion design in the oil and gas industry. Future work could explore advanced sampling techniques, alternative machine learning (ML) algorithms, hybrid optimization approaches, uncertainty quantification, real-field validation and incorporation of operational constraints to further advance this field.