bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing Workforce Involvement in Sustainability: Local Community Initiative Case Studies
Authors: Lerale J. , Jovaisaite K. , BellasBourdin C. , Imran M. , Akhmadieva Z. , Burlacu E. 
Published: September 2024

Abstract
To support a global technology company’s sustainability objectives, an internal business group within the company has concentrated its sustainability efforts on providing impactful and long-lasting initiatives to benefit local communities. The paper provides case studies of country-specific voluntary sustainability teams of the business group that have been undertaken to benefit local communities and company priorities in Asia, Europe and the Middle East. The paper also describes how a framework was developed to guide teams of employee volunteers.
The first step in the process was to identify committed employee volunteers to lead local sustainability initiatives. The volunteers were provided with an initial framework and key directions to follow. A year after establishing the voluntary teams, new teams were provided with a comprehensive playbook which enabled the teams to deliver diverse projects faster and with higher impact.
Additionally, building diverse local teams ensured that a range of perspectives were reflected in the identification and prioritization of initiatives. To best serve the needs of the local communities, it was important to build long-term collaborations with non-governmental organizations (NGOs) relevant to the selected priorities.
The structured approach to sustainability initiatives helped the teams focus on actions that matter the most to local communities. This led to the establishment of long-lasting relationships with NGOs. Examples include supporting young individuals in foster care through skill-sharing sessions and internship opportunities within the company, supporting local community business enterprises, and providing science, technology, engineering, and mathematics (STEM) education opportunities for young people.
The engagement and enthusiasm of the employee volunteers have been maintained through observing the positive impact their efforts have made on the local communities, enabled by the clear impact-oriented guidance provided. Across several countries, this network of volunteers has onboarded almost 15% of the business group’s employees and their families to participate in sustainability actions, with over 40 initiatives completed in 2023.
Empowering Futures: Unveiling Indigenous Entrepreneurship Insights Through the Capability Lens for Social Development
Authors: Lovo Leslie 
Published: September 2024

Abstract
The paper aims to identify critical success factors through Amartya Sen’s Capability Approach perspective for indigenous entrepreneurship. By taking a closer look a case study of two rural initiatives in honey production and clothes sewing, it explores how improved capabilities correlate with positive social outcomes, arguing against cookie-cutter models for assessing community progress. The findings will allow to enhance strategic purpose of social investments, stakeholder engagement, and community value creation.
Screening Depleted Reservoirs and Aquifers for CO2 Geo-Sequestration, and Assessing Implications for Converting an Offshore Platform for Carbon Capture and Storage Project
Authors: Zeir A. , Aboelseoud M. A. , Mehrem M. 
Published: September 2024

Abstract
Re-using the depleted reservoirs for CO2 storage offers advantages over saline aquifers, as the geological characteristics required for CO2 storage have been pre-determined with high accuracy throughout the reservoir production life, plus a proof of secure containment. Additionally, re-using the production facilities and offshore platforms for the injection of CO2 would be economically and environmentally winning fact.
This paper is based on intensive bibliographic research related to challenges and concerns of CO2 storage in depleted oil and gas reservoirs, for the selection of the optimum solution for converting the offshore platform GREEN1 in the Adriatic Sea to be re-used instead of decommissioning. It also highlights the interactions between the reservoir parameters and the design of surface facilities. The design of all the upstream components, i.e., transportation pipeline diameter, compression capacity, and maximum allowable pressure is mainly based on the rock and fluid interactions in the reservoir porous media. Storage capacity has a pivotal role in the candidate sites screening process, accompanied by an economic feasibility study. CO2 storage capacity of ‘Porto Corsini Mare’ reservoir, as a candidate site for GREEN1, is estimated based on returning the depleted reservoir to its initial pressure before production.
A methodology for comparing and selecting suitable reservoirs and aquifers for CO2 geo-storage is introduced in this paper for the purpose of identifying the optimum storage site for GREEN1 platform. The screening criterion is divided into three main categories: storage capacity, injectivity, and containment, in a shape of logic flow charts with the relevant parameters to each category, in order to help analysts and decision makers identify and compare candidate sites for CO2 storage, so that they are easily able to exclude the unsuitable reservoirs and proceed with the right candidates for further economic and risk assessment studies.
Bouncing Back- KhPD's Story of Resilience and Recovery from the 2019 Attack
Authors: Alhamraa A. M. , Wadani H. S. , Saqer N. , Qahtani F. M. , Emre K. 
Published: September 2024

Abstract
The Khurais Central Processing Facility (CPF), a cornerstone of Saudi Aramco's oil production infrastructure, sufferred adron attack on September 14, 2019, causing significant damage, disrupting operations and posing a serious threat to the global oil supply. This incident tested the resilience and recovery capabilities of the Khurais Producing Department (KhPD) and Saudi Aramco at large.
This paper provides an overview of the recovery efforts at Khurais, focusing on emergency response, crisis recovery strategy, integration of IR 4.0 technologies, rapid production restoration, and innovative repair techniques. This paper includes insights and practical lessons for the Oil & Gas industry on managing crisis situations and ensuring operational resilience.
The Khurais oil field, one of the largest in the world, plays a crucial role in Saudi Arabia's oil production capacity. The facility's ability to produce 1.5 millions of barrels of oil per day makes it a vital asset in the global energy landscape. The attack tested Saudi Aramco's operational resilience and crisis management capabilities.
Implementation of a Management System to Mitigate Carbon Dioxide Emissions from Light Vehicles Transportation Through Improved Driving Behavior in the State of Kuwait
Authors: Al-Hadhrami B. M. 
Published: September 2024

Abstract
This study investigates the effects of improved driving behaviors on greenhouse gas (GHG) emissions reduction from light vehicles in Kuwait. There has been a steady increase in Greenhouse Gases (GHG) emission to the atmosphere globally since the industrial revolution. Human activities, such as the burning of fossil fuels, transportation, and changes in land use are major contributors to the increase in concentrations of atmospheric GHGs. According to the latest estimates, Kuwait being a major oil producing country, annual increase in GHG emissions has been recorded for the past two decades, with 21.2 MT per capita emitted in 2020, increased from 21.1 compared to 2019. Implementing practical and feasible reduction strategies to the significant emission contributors is essential. This study proposes a management system targeting the transportation sector through enhanced driving behaviors in a transportation fleet, using a monitoring hardware and software, to collect data from 25 light vehicles. To assess the solution's effectiveness, we compared pre- and post-intervention periods of fuel consumption in light vehicles through monitoring and enhancing the driving behavior variables, harsh acceleration, harsh braking, over-speeding, and idling, thus reducing carbon emissions that was determined based on the US EPA conversion factor. Our results show significant improvements in several key parameters, a 15% reduction in fuel consumption resulting in 15% and 18% carbon dioxide emissions (CO2) and cost reduction, respectively. This should represent huge environmental and economic benefit associated with the measures implemented. In the post-intervention phase, where controls and interventions were implemented to enhance drivers' behaviors, there was a significant reduction in idling hours, decreasing by 8,167.38 hours with a (P &lt; 0.003). These results clearly illustrate the need for more stringent national regulations at improving driving behaviors, which not only contribute to environmental quality improvement but also offer substantial economic advantages.
Enhancing Workforce Wellbeing: Implementing A Global Mental Health First Aid Program
Authors: Fleming B. , Smith C. , Ackerman A. , O’Keeffe J. 
Published: September 2024

Abstract
This paper describes how a global energy technology company developed a mental health first aid (MHFA) program to provide workplace access to a trained mental health responder at the point of need and how this initiative also helps to raise awareness of the importance of good mental health in the workplace. The program complements the company’s existing Employee Assistance Program (EAP) and mirrors the provision of physical first aid response in the workplace.
The program uses an employee-volunteer approach, teaching individuals to recognize and respond to signs and symptoms of mental health concerns. Implementation included creating a role description for volunteer MHFAs and documenting responsibilities for employees, managers, human resources, health, safety and environment (HSE) and company medical professionals. Requirements included criteria for volunteer eligibility and sourcing of in-country and remote online training programs to meet national as well as company requirements. Existing national MHFA training providers were mapped and a six-step MHFA training and certification process was developed. A global web and mobile app were also developed to connect employees to the trained and certified MHFAs.
The MHFA program has been fully implemented in over 20% of the company’s operational locations and partially implemented in a further 50% of locations during the first year of program activity. Over 80% of the workforce is included and covered by the program. A diverse employee cohort volunteered to be trained to provide mental health first aid response. National resources and cultural factors influenced the speed of adoption and implementation. The workforce embraced the program, and, in many cases, it was observed being pulled by end users rather than pushed out as an HSE campaign. Legal liability concerns were addressed by clearly defining the scope and MHFA responsibilities, with additional education regarding the appropriate limits of mental health first aid provision in the workplace. To support the volunteers, a global network of MHFAs was established to share ideas and experiences as well as to provide support to grow the program.
The return on investment for this type of program includes likely improvements to morale, an enhanced culture of care and overall increased HSE engagement. From an organizational perspective, the program can help contribute to reduced medical leave in the workplace over time.
Oil and Chemical Mapping & Spill Risk Assessment for Offshore Vessels
Authors: Spingardi A. , Nunzi P. , Negoi R. , Flori L. 
Published: September 2024

Abstract
Spill Risk Assessment and Oil and Chemical Mapping methodology presented in this paper aims at creating a comprehensive reference document for each vessel where it is applied, containing information about the spill risk for the equipment on board and the conditions that may result in a spill to the environment. In this way appropriate mitigation measures can be identified, prioritized and implemented more effectively. This assessment system combines the experience of the relevant unit and on-site technicians with a methodical risk- assessment procedure, adding value to implemented risk mitigation measures.
Double Materiality Assessment, Implications for the Oil and Gas Sector
Authors: Dhodhi Gautam 
Published: September 2024

Abstract
The paper aims to discuss the concept of double materiality in sustainability reporting, including conducting double materiality assessments, highlighting the associated challenges, and summarizing current approaches for oil and gas companies. The increasing relevance of the materiality concept in non-financial disclosures has been promoted by various non-financial reporting frameworks and standards published by multiple stakeholders, including regulators globally. The paper aims to review the existing research and analysis conducted on non-financial disclosures of companies, including oil and gas, to evaluate the consistency regarding adopting double materiality in their sustainability disclosures. It outlines the challenges associated with recent assessment approaches due to the novelty of double materiality and highlights mitigation strategies based on the current sustainability disclosure landscape.
Double materiality is relatively new and open to a high degree of subjectivity and interpretation. The paper aims to provide a simplistic approach to understanding the applicability and maturity of the double materiality assessment process.
A Framework for Predicting Pandemic Severity and Mortality Using Generative AI and LLMs
Authors: Tharayil Sarafudheen M. , Alnajashi Arwa , Al-Ahamri Abdullah , Shahada Marwa 
Published: September 2024

Abstract
This research work introduces a comprehensive framework for pandemic severity and mortality prediction. The study achieves two key objectives. Firstly, a robust model is developed for accurate mortality prediction using deep learning mechanisms, leveraging variants like Convolutional Neural Networks, Recurrent Neural Networks, and Transformers which learn complex relationships from clinical and demographic data, enabling timely risk stratification. Secondly, enhancing model explainability through large language models (LLMs) for explainability. Integrating LLMs provides natural language explanations alongside predictions. Transparency is enhanced by describing factors influencing severity and mortality, bolstered by confidence scores and uncertainty estimates. The methodology involves data preprocessing, fine-tuning LLMs, model development using deep learning algorithms, evaluation of models using performance metrics, and qualitative analysis of LLM results via user surveys. The generative AI model emerges as a valuable tool for pandemic management, adaptable beyond COVID-19. The novelty of this study lies in three aspects. Firstly, proposing and implementing a pandemic severity and mortality prediction framework using neural networks and deep learning. Secondly, introducing natural language explanations using LLMs alongside predictions, enhancing transparency, and thirdly demonstrating the effectiveness of the generative AI model across various pandemic-causing viruses, facilitated by a generic and adaptable data schema and model architecture.
Leveraging RTLS Applications for Enhanced Safety and Efficiency in Oil and Gas Organizations
Authors: Daher Elie , Schoeib Sameh 
Published: September 2024

Abstract
Real-Time Location Systems (RTLS) have emerged as invaluable tools for enhancing safety and efficiency in the operations of oil and gas organizations. This abstract investigates the various applications of RTLS technology within the industry, highlighting its transformative impact on safety protocols and operational efficiency.
With a focus on safety, RTLS facilitates real-time monitoring and tracking of personnel and assets, thereby mitigating potential hazards and enhancing emergency response capabilities. Through the precise location data provided by RTLS, organizations can swiftly identify personnel in distress or evacuate personnel from hazardous areas, minimizing the risk of accidents and injuries. Additionally, RTLS enables proactive safety measures by providing insights into worker behavior and identifying patterns that could indicate potential safety risks.
Moreover, RTLS plays a pivotal role in optimizing operational efficiency within oil and gas organizations. By accurately tracking the movement of assets, equipment, and personnel, RTLS enables organizations to streamline logistics, minimize downtime, and optimize resource allocation. Real-time data provided by RTLS systems allows for better coordination of operations, reducing bottlenecks and improving overall productivity. Furthermore, RTLS facilitates predictive maintenance by monitoring the condition and usage of equipment, thereby reducing the likelihood of unexpected failures and maximizing asset uptime.
In conclusion, the adoption of RTLS applications represents a paradigm shift in safety and efficiency enhancement strategies within the oil and gas industry. By leveraging RTLS technology, organizations can proactively address safety concerns, optimize operational processes, and ultimately achieve higher levels of safety and efficiency. Embracing RTLS not only mitigates risks and enhances productivity but also underscores the industry's commitment to embracing innovative solutions for sustainable growth and operational excellence.
Developing Strategic Assessment on Methane Emission Management in PERTAMINA
Authors: Perdhani R. , Yuanda T. R. , Suripno S. , Permadi J. , Darmawan R. 
Published: September 2024

Summary
Methane emissions from oil and gas operations present an urgent climate risk and a critical process safety event. Therefore, PERTAMINA has identified and screened considerable methane emissions sources from its assets. However, methane mitigation on the sources will cause potential gaps regarding the credible methane emission data. To address those gaps and to acknowledge the OGMP 2.0 reporting requirements, PERTAMINA is conducting strategic assessments combining methane emission quantification methodologies comparison and methane emissions measurement activities. Preparing for strategic methane mitigation opportunities, PERTAMINA has joined OGMP 2.0. Nonetheless, there are challenges in developing robust methane emission management to meet the Gold Standard reporting standard. To tackle the challenges, the strategic assessments are performed by PERTAMINA. First, the performance of current emissions quantification methodologies was compared with the desired performance of OGMP 2.0 to be able to assess the gap and develop the methane emission management roadmap. Afterward, the methane emissions detection and quantification campaigns have been performed to recognize and characterize methane emissions from PERTAMINA's oil and gas value chain. The gap assessment consists of OGMP 2.0 frameworks acknowledgement, OGMP 2.0 requirements and existing quantification methodologies alignment, and current methodologies improvement. The alignment of OGMP 2.0's methane emission source and category was conducted to identify any potential issue and to address any key finding. Furthermore, technical improvements were made to comply with certain levels of OGMP 2.0 reporting. Based on the gap assessment results, the current methane emission situation is assessed to be able to develop the roadmap from a credible baseline, and reduction target is established to understand the OGMP 2.0 level that will be achieved. Meanwhile, the methane emission detection and quantification pilot project has been carried out since 2023 at selected business subsidiaries. The bottom-up measurement one is the most frequently used technology during the study period. The novelty of these strategic assessments is in the ability to initiate robust and comprehensive methane emission management in PERTAMINA, to provide understanding on how to comply to OGMP 2.0's Gold Standard reporting requirements, and to share similar objectives with the Indonesian Government's methane reduction plan and ambition in the Global Methane Pledge.
Structural Understanding Underlying the Safety Culture Ladder
Authors: Hudson T. G. L. , Hudson P. A. R. , Hudson P. T. W. 
Published: September 2024

Abstract

OBJECTIVES/SCOPE
The paper discusses the underlying structures driving the management of risk in different safety cultures as described by the Hudson Safety Culture Ladder. The paper links different causal models employed by organisations to the stages in the ladder and uses a case study to illustrate the fundamental concepts.

METHODS PROCEDURES, PROCESS
The management of risk within organisations is driven by the underlying causal models that the organisations management uses to make sense of how the world works. The paper considers management actions and activities in the light of this. Taking these insights, the paper then maps the concepts onto the safety culture ladder descriptions as contained in the Hearts and Minds Understanding Your Culture framework.
The paper then extends the concepts into novel dimensions to demonstrate the applicability of the findings and methods.

RESULTS, OBSERVATIONS, CONCLUSIONS
The Hudson Safety Culture Ladder describes four levels of safety culture. Each of these cultures are shown to be the observation of different structural approaches to the risks that the culture is exposed to. These approaches are linked to the breadth and complexity of the risk spaces the organisations operate in.
This means that organisations can tailor their cultures to the operational reality they operate in. This enables efficient allocation of resources.
A simple narrow risk space only requires a culture to be Reactive, using an Unstructured approach to failures to fix problems as they arise.
A broader complicated risk space requires a culture to be Calculative, taking a Structured approach to ensure that learnings from failures are applied across the entire organisation
Complex risk spaces require a Proactive culture that is not only Structured, but also sensitive to the operational context.
A highly dynamic complex risk space requires a Generative culture that is Structured, Operationally Context sensitive, and Internally Context sensitive.
The paper uses these concepts in a case study with a world class aviation engine MRO to help illustrate.
Please explain how this paper will present novel (new) or additive information to the existing body of literature that can be of benefit to a practicing engineer.
The safety culture of an organisation is not a monolith, but should be considered in the context of the risk spaces it operates in. The concepts in this paper can help fine tune cultural understanding and improvement activities.