bluuebunny/crossref_metadata_2025_split huggingface dataset:
Building an E-Crude Plant with Heat Exchanger-Reactor HER Technology
Authors: Kamel M. , Delahaye T. , Aljneibi N. , Izquierdo-Colorado A. , Funduk S. , Fakhar H. El 
Published: November 2024

Abstract
ADNOC fields operate with zero flaring during normal operations; however, flaring during upset conditions is a source of greenhouse gas (GHG) emissions such as Carbon Dioxide (CO2). Therefore, to comply with flaring restrictions and support the UAE Net Zero emissions by 2045 Strategic Initiative, this paper will introduce an innovative Heat Exchanger-Reactor (HER) technology which will versatile hydrogenation of CO2 & produce synthetic fuels.
This paper will introduce the KHIMOD's innovative Heat Exchanger-Reactor(HER) technology which converts CO2 into syngas via the Reverse Water Gas Shift (RWGS) reaction. This syngas can thereafter be used to produce synthetic paraffinic crude in a subsequent second step, by a Fischer-Tropsch (FT) reactor, while incorporating additional hydrogen produced via water electrolysis. Alternatively, the green hydrogen contained in the syngas can be used directly for H2 storage or transportation. Various configurations have been developed to valorise the CO2-rich flare gases emitted from ADNOC onshore fields during emergency conditions.
A new copper-based Reverse Water Gas Shift (RWGS) catalyst and a new cobalt-based Fischer-Tropsch (FT) catalyst have been custom developed to fit the opportunities of the very accurate catalytic temperature control possibilities of the Heat Exchanger-Reactor (HER) technology. Under the current market conditions, the early cost evaluation shows an overall of e-crude generation slightly beneath the 5 $/kg depending primarily on the cost of hydrogen, with an achievable target of reaching close to the 3 $/kg in the coming years. Moving forward, KHIMOD is studying the optimum plant configuration to convert CO2 from flaring during upset conditions into syngas in a field demonstration unit.
The ground-breaking aspect of this paper is a real application case for a waste stream CO2 valorisation unit into hydrogen or Syncrude based on the novel field-proven market-ready KHIMOD Heat Exchanger-Reactor (HER) solution. The interaction between the Reverse Water Gas Shift (RWGS) and the Fischer-Tropsch (FT) technologies are aiming to eliminate the unavoidable CO2 emissions from the industrial sectors & support decarbonizing our operations to reach ADNOC's Net Zero by 2045 strategic goal.
Integration of Ultra-High-Resolution Nano Tracers in Flow Diagnostics with a Multi-Stage Completion Program for Post-Frac Flow Assurance, Fault Evaluation and Well Spacing Optimization in Eagle Ford Shale
Authors: Melo R. C. B. de , Manohar M. , Shokanov T. , Guo Q. , Oliver J. , Jejelowo P. 
Published: November 2024

Abstract
Multi-stage hydraulic fracturing stimulation and completion programs in unconventional wells now account for up to 70% of total well costs. Faced with increased completion intensity, reservoir and geological complexities, and economic pressures, upstream operations must take a serious look at increasing their efficiency regarding the use of completion money and ensuring increased production results.
The future development and completion designs must be validated by cost-effective and accurate flow mapping measurements that deepen insight into complex reservoir flow performance and geological risk assessment, right-size the multi-bench well spacing, and focus on data-driven stimulation designs that optimize economics.
This paper highlights one such effort in a multi-well tracing project in Eagle Ford Basin. A novel and cost-effective ultra-high- resolution nanoparticle tracer played a key role in delivering useful data that led to a comprehensive understanding of the reservoir, geological faults, and optimize stimulation efforts at a stage level. Additional multi-well studies in turn led to the development of a full understanding of inter-well communication, fracture-driven interactions flow characterization, and optimizing well spacing.
The state-of-the-art, ultra-high-resolution nanoparticle tracers were added to each stage during completion for flow profile mapping and fault evaluation. In addition, a sampling campaign of adjacent wells was initiated to identify potential communication between offset and traced wells. The data integration of the nanoparticle tracers with offset wells pressure monitoring helped to improve the target reservoir development approach and provided a live performance flow profile for the entire development. This data was also used to optimize completion designs, stage and well placement strategies, and significantly enhance reservoir understanding and geological fault impacts on stage-level production.
Thermodynamics of Hydrogen; Analysing and Refining of Critical Flow Factor Through Comprehensive Uncertainty Assessment and Experimental Data Integration
Authors: Joonaki E. , Rostaminikoo E. , Ghanaatian S. , Nasriani H. 
Published: November 2024

Abstract
The calibration of flow meters that used in hydrogen transformation needs a reliable reference device such as sonic nozzles Therefore, critical flow factor (C*) for hydrogen must be calculated precisely through existing equations that is why it is important to investigate the achievable uncertainty in calculating this vital parameter. In addition, the quality and accuracy of thermophysical property experimental/modelled data plays a vital role in reaching the highest accuracy determination of C*. Therefore, in this study, an examination of the literature has been undertaken to target experimental measurements related to pure hydrogen, setting the stage for a comprehensive gap analysis followed by analysing various available equation of state models in predicting accurate thermophysical properties of pure hydrogen.
We introduced new high pressure high temperature (HPHT) Fluid Property Test Rig to add new reliable thermophysical property data to the literature and also we presented C* values and validated our calculations with two calibration gases: nitrogen, and methane and their standardised C* values. Then, C* values for hydrogen were generated using this verified methodology in the context of the expanding role of sonic nozzles in hydrogen flow meter calibration.
This study showed that C* calculations can be enhanced significantly by using the representative equation along with employing appropriate thermodynamic equations of state which are examined by high accurate new measured experimental data.
AI-Powered CCTV Analytics for Proactive Threat Detection and Operational Excellence in Well Engineering Operations
Authors: Al Maamari Ammar , Taha Ahmad , Al Qassabi Khalid , Al Rawahi Hamood , Al Busaidi Yusra 
Published: November 2024

Abstract
In today's rapidly evolving industrial landscape, ensuring safety and operational efficiency in well engineering operations is more critical than ever. Traditional surveillance methods, while effective to some extent, are increasingly inadequate in addressing the dynamic challenges posed by complex operations. This paper presents an in-depth exploration of the development and implementation of an AI- powered CCTV analytics system designed to enhance safety and operational excellence within Well Engineering Operation at Petroleum Development Oman (PDO). The system leverages advanced machine learning algorithms to analyze live video feeds, identify potential threats in real-time, and optimize operational workflows.
The primary objectives of this initiative were to detect safety noncompliance, improve incident detection accuracy, reduce response times, and integrate seamlessly with existing safety protocols. This paper outlines the comprehensive methodology employed, from the initial planning stages through to deployment, and presents a detailed analysis of the results achieved during the Proof of Concept (PoC) phase. The findings demonstrate significant improvements in safety metrics, including a reduction in incident rates and enhanced compliance with safety standards.
Beyond the technical aspects, this paper also discusses the broader implications of AI integration in safety management, addressing ethical considerations, challenges encountered, and the potential for scalability across other operations within PDO and the wider industry. The conclusion reflects on the lessons learned and provides recommendations for organizations seeking to implement similar AI-driven safety solutions.
Fiber Optic Monitoring of CO2 Injection in a Carbonate Saline Aquifer Onshore Abu Dhabi
Authors: Mason J. , Cambois G. , Cowell J. , Kirstetter O. , Al Neyadi A. M. , Naldrett G. , Vincent M. , Gang Y. 
Published: November 2024

A carbon sequestration site has been developed onshore Abu Dhabi where, for the first time, 100% of the injected CO2 is to be captured and sequestered in a carbonate saline aquifer (Xu et al., 2023). This project is part of ADNOC's $23 billion multi-year action plan to decarbonize its operations and supports its goal to reduce carbon intensity by 25% by 2030 and deliver on its Net Zero by 2045 ambition. The well was spudded in April 2023 and CO2 injection started in November of the same year.
The site currently has one well, equipped with fiber optic sensors on both the casing and the tubing string, which can monitor passive and active seismic activity, distributed temperature, acoustics and strain over the entire length of the fiber cables. The intention is to monitor and verify CO2 injection and containment as part of the MMV (Monitoring, Measuring and Verification) specifications for site certification. Unfortunately, time-lapse seismic is notoriously difficult in Abu Dhabi carbonate reservoirs due to their stiffness and the low sensitivity of their elastic properties to reservoir changes. As a result, detecting fluid changes with surface seismic and 4D time lapse seismic has not been very successful in the region. While there are many published examples of successful CO2 plume monitoring using time-lapse seismic (Bacci et al., 2017, Pevzner et al., 2021), they overwhelmingly concern clastic formations.
Rock physics modeling of supercritical CO2 replacing hypersaline water (23% concentration) showed increased seismic detectability compared to injections in oil reservoirs for Enhanced Oil Recovery (EOR) purposes. While this gave us hope that seismic monitoring could work in this carbonate environment, we nonetheless took every precaution to maximize repeatability and signal-to-noise ratio in our design. We first tested a seismic monitor survey using only freshwater injection, which has much lower detectability than CO2, and obtained very encouraging results. We then implemented a thorough monitoring plan, which this paper will detail.
Aligning Development Programs with Organizational Goals
Authors: Al Barwany Fatma 
Published: November 2024

Summary
Achieving alignment between employees and organizational goals is crucial for any organization aiming to become high-performing, agile, and growth-oriented. A staff survey revealed a need for better alignment between employees' roles and the organization's strategic goals. In response, the organization, in collaboration with the HR department and the Strategy Office, embarked on an alignment journey to ensure that every employee had a clear understanding of the organization's vision, mission, values, and goals. This process, known as "cascading," involves translating high-level strategic objectives down through various levels within the organization—from business units and departments to the individual employee's level.
Recognizing that its existing Balanced Scorecard (BSC) system, while effective, could be further complemented, the organization integrated two additional methodologies into its alignment strategy. The first was the KPI Institute's framework, which provided tools and techniques for setting, monitoring, and achieving key performance indicators (KPIs) directly linked to the organization's strategic objectives. The second was the PuMP (Performance Measurement Process) methodology, which emphasized personal responsibility and ownership in driving results, fostering a culture of continuous improvement where employees actively engaged in improving their performance measures to better align with strategic objectives.
Project to Asset Transfer Process in PDO: Challenges & Best Practices
Authors: Al Waily Sultan M. 
Published: November 2024

Abstract
The opportunity Realization Process (ORP) is the framework used in Petroleum Development Oman (PDO) to manage and execute the projects. One of the primary challenges is the Project to Asset (P2A) phase starting from the Pre-Start Up Audit (PSUA) and ending with the signature of the Final Acceptance Certificate (FAC) on which the full ownership is transferred from the project to the asset. During this phase, the technical issues such as control systems issues or rotating equipment's issues tend to receive more focus than non-technical issues. This is because technical issues are typically easier to identify and quantify while the non-technical issues are more difficult to identify and address.
Currently in PDO, more than one hundred projects per year are delivered by the project delivery department with CAPEX range of 10 to 400 million USD per project. It was observed that the project to asset transfer process in most of the delivered projects is longer than the industry in general. The key topic of this paper is the analysis done for more than three hundred projects executed in PDO from 2018 to 2022 with the focus in the P2A phase. This phase has been segregated further to three sub-phases: PSUA to Startup, Startup to Provisional Acceptance (PAC) and Provisional Acceptance to Final Acceptance (FAC). The paper additionally examined the best practices followed in number of the projects and their effect in the handover process.
The main sources used for this paper were PDO's project delivery learning knowledgebase and PDO's PSUA database. Other sources were several published papers in the same subject as well as direct feedback from the main stakeholders. The analysis found that around 80% of the challenges faced during the P2A are non-technical. The non-technical findings underwent further analysis and segregated in categories. Documentation and document management was the prominent challenge with around 60% of the findings linked to it. Interface management was the second main contributor in the P2A delays with around 20% of the findings linked to it. Other categories were also analyzed with their effect in the process.
Furthermore, several best practices and their impact in tackling the key issues has been analyzed. Some examples of the best practices checked were industrial startup KPI, digital document management tool, verification check sheet for critical deliverables and early involvement of operation representatives in the project. In conclusion, the analysis showed the non-technical issues remain the main challenge in the P2A which needs more focus by the project management. The successful implementation of best practices has contributed to an improvement in the P2A phase; nevertheless, to ensure their integration across all projects, enhanced stakeholder engagement and diligent follow-up are required.
Circular Economy: Rethinking Security Sustainability Through Ransom Project
Authors: Mohamad Noor Khairil Annuar Bin , Ahmad Mohd Noor B 
Published: November 2024

Abstract
As part of PETRONAS approach to sustainability, the organization has made more concerted effort to purposefully adopt Circular Economy (CE) across PETRONAS including security area. Hence the objective of this paper is to propose a paradigm shift in security discourse, advocating for the integration of circular economy principles into security strategies. This proposal, termed as RaNSOM project (see figure 1) aims to enhance sustainability, resource optimization, and overall resilience within security frameworks.
This paper will delve into the conceptual framework of RaNSOM project that has been piloting in 2023 for 6 months, elucidating its principles and methodologies for integrating circular economy principles into security strategies. The scope encompasses the optimization of resources across the security spectrum, including manpower and technological infrastructure, through the adoption of circular economy approaches. Additionally, the paper will explore the role of advanced technologies such as artificial intelligence, data analytics, and IoT devices in augmenting security capabilities. Furthermore, it will discuss the expansion of security objectives from asset protection to area protection, focusing on the establishment of resilient infrastructures, community engagement initiatives, and proactive risk management strategies. Finally, the paper will address the importance of upskilling and reskilling security roles to align with the demands of the circular economy, emphasizing training programs focused on sustainability, technology integration, and community engagement.
The study showcases significant achievements, including a notable RM6.7 million in manpower cost savings through rationalization. Implementation of new technologies like the Integrated Security Control Centre (ISCC) and PETRONAS Security Information Management (PSIM) 3.0 has enhanced security capabilities and operational efficiency. Additionally, the establishment of the Security Academy addresses skill gaps, ensuring security talents are equipped for success. Expansion of security roles and collaboration with Universiti Teknologi PETRONAS and the Malaysia Board of Technology accelerate digital transformation within Group Security. These outcomes underscore the transformative impact of integrating circular economy principles into security strategies. The paper concludes by emphasizing the need for continued efforts to sustain and expand upon Project Ransom's gains for a resilient and sustainable security ecosystem.
Subtle Faults Characterization Based on Fault Simulation and AI OBN Seismic Attributes Optimization
Authors: Kongzhi Huang , Xin Chen , Jiawen Song , Dengyi Xiao , Shize Wang , Qiang Li , Fuli An , Bo Wang , Caiqin Liu , Yaliang Xia , Zichang Tang , Dayou Yang , Jiajia Li 
Published: November 2024

Abstract
Subtle faults are often below seismic resolution, especially in strike slip regimes, it is very difficult to identify them as they have small throw and the seismic attributes do not change significantly across the fault. However, faulting often have an impact in fluid propagation leading to compartmentation. To improve the prediction accuracy of subtle faults, a new AI subtle faults characterization method based on OBN seismic attributes and fault physical simulation was proposed. This method includes 5 steps. 1) Integrated regional stress surveys and seismic AI subtle faults prediction results to describe the geometric characteristics. 2) Performing similar fault physical simulation to analyzing the kinematic characteristics, and record the horizontal and vertical features. 3) Comparing the horizontal features of simulation model with seismic attributes along target layer to analyze the orientations. 4) Comparing vertical fault features of simulation model with seismic section to analyze the fault stages and dip angles. 5) Based on the orientations, dip angles and fault stages, optimizing AI fault prediction results. This method has been successfully applied in the Middle East. AI based fault prediction utilizing high-quality OBN seismic data can clearly demonstrate the geometric features for small faults. The study area located in a strike-slip fault zone, with two sets of faults oriented in the NW-SE and W-E directions which were controlled by the W-E shear stress. Under the similar stress, physical simulation of strike-slip faults was conducted, deepening the geological understanding. Comparative analysis between physical simulation and seismic attributes reveals that the NW-SE faults correspond to the early stage of R shear faults, and W-E faults correspond to the later stage of P shear faults. Comparative analysis of fault physical simulation and seismic attribute sections reveal that strike-slip faults can be divided into two stages. The first stage involves deep faults formed in a compressive-torsional stress with reverse faults. The second stage involves shallow faults formed in a tensile-torsional stress with normal faults. Guided by the geometric and kinematic characteristics of strike-slip faults, AI fault prediction results in deep and shallow formation were optimized based on the understanding of fault orientation, dip, and different stages. This AI subtle faults characterization method efficiently combined high- efficiency AI fault prediction technology with fault physical simulation techniques, deepening the geological understanding of faults system while also enhancing the efficiency and accuracy of subtle fault prediction.
Quercetin is a Potential Therapy for Postinfarction Netosis Formation
Authors: Goshovska Yulia , Pashevin Denis , Goncharov Serhii , Lapikova-Bryhinska Tetiana , Lisovyi Oleksandr , Nagibin Vasyl , Portnichenko Georgii , Tumanovska Lesya , Dosenko Victor 
Published: November 2024

Abstract

Purpose. The surgical intervention during myocardial infarction (MI) is associated with the risk of reperfusion injury, infiltration of tissues with polymorphonuclear neutrophils and neutrophil extracellular traps (NETs) formation. We hypothesized that inhibition of NETs with the use of quercetin might be a promising cardioprotective strategy.
Methods. Wistar rats underwent LAD occlusion (MI) for 40 min followed by 90 min of reperfusion. MI+Q group received a water-soluble form of Quercetin (50 mg/kg, “Corvitin”, BCPP, Ukraine) into the tail vein 10 min before reperfusion.
Results. The post-MI administration of Quercetin significantly alleviated cardiac dysfunction. End-systolic pressure; stroke volume; cardiac output; and stroke work were significantly improved in MI+Q vs MI group. NETs formation (examined by fluorescence microscopy and Hoechst staining) as well as free DNA in blood plasma was reduced in MI+Q group that might be one of the mechanisms of cardioprotective effect of quercetin.
Conclusions. Postconditioning with Quercetin might be used as a therapeutic tool for alleviation of reperfusion injury and netosis inhibition in vivo.