Emotional Intelligence: Practices to Manage and Develop It

Igbokwe, Innocent Chiawa; Egboka, Patience Ndidi; Thompson, Chidinma C.; Etele, Anulika Valentina; Anyanwu, Adeline N.; Okeke-James, Ndidiamaka J.; Uzoekwe, H. E.

doi:10.59324/ejtas.2023.1(4).05

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…By identifying patterns and trends in equipment behavior, AI algorithms can forecast when equipment components are likely to fail and proactively schedule maintenance activities to prevent downtime. Predictive maintenance reduces maintenance costs, extends equipment lifespan, and improves overall drilling reliability (Igbokwe et al, 2023). Reservoir Modeling, AI-driven reservoir models integrate geological, geophysical, and drilling data to improve reservoir characterization and optimize production strategies.…”

Section: Role Of Artificial Intelligence In Smart Drillingmentioning

confidence: 99%

Smart Drilling Technologies: Harnessing Ai for Precision and Safety in Oil and Gas Well Construction

Oladiran Kayode Olajiga,

Nwankwo Constance Obiuto,

Riliwan Adekola Adebayo

et al. 2024

Eng. sci. technol. j.

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This paper explores the integration of AI in smart drilling technologies, examining its applications, benefits, challenges, and future prospects. By harnessing the power of AI, smart drilling technologies enable proactive decision-making, automation, and optimization throughout the drilling lifecycle. From well planning and design to real-time monitoring and control, AI-driven systems improve operational performance, reduce risks, and maximize resource recovery. Despite facing challenges such as data integration, technology adoption, and regulatory compliance, the potential benefits of smart drilling technologies are substantial. Enhanced precision, improved safety, increased efficiency, and sustainable practices are among the key benefits offered by these technologies. Looking towards the future, opportunities for further innovation and advancement abound, including the development of advanced AI algorithms, integration with IoT and big data analytics, and a focus on environmental sustainability. By embracing innovation, collaboration, and a commitment to sustainability, the oil and gas industry can unlock new opportunities for growth and resilience in the evolving landscape of oil and gas well construction. Smart drilling technologies hold the promise of reshaping the future of well construction, paving the way for safer, more efficient, and sustainable drilling operations in the oil and gas industry. Smart drilling technologies are revolutionizing the oil and gas industry, offering unprecedented levels of precision and safety in well construction. By integrating artificial intelligence (AI) into drilling processes, these technologies optimize drilling parameters, reduce risks, and maximize resource recovery.. Enhanced precision, improved safety, increased efficiency, and sustainable practices are among the key benefits offered by these technologies. Looking towards the future, opportunities for further innovation and advancement abound, including the development of advanced AI algorithms, integration with IoT and big data analytics, and a focus on environmental sustainability. Keywords: Smart drilling, Artificial intelligence (AI), Oil and gas industry Efficiency, Safety, Sustainability.

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Section: Role Of Artificial Intelligence In Smart Drillingmentioning

confidence: 99%

Smart Drilling Technologies: Harnessing Ai for Precision and Safety in Oil and Gas Well Construction

Oladiran Kayode Olajiga,

Nwankwo Constance Obiuto,

Riliwan Adekola Adebayo

et al. 2024

Eng. sci. technol. j.

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“…These case studies and success stories underscore the transformative impact of predictive maintenance on cost savings, asset reliability, and operational performance in diverse operational environments, from offshore drilling platforms to onshore processing facilities. Chevron, one of the world's leading integrated energy companies, has successfully implemented AI-driven predictive maintenance solutions across its global operations (Igbokwe et al, 2023).…”

Section: Case Studies and Success Storiesmentioning

confidence: 99%

Predictive maintenance in oil and gas facilities, leveraging ai for asset integrity management

Chuka Anthony Arinze,

Izionworu, Vincent Onuegbu,

Daniel Isong

et al. 2024

Int. J. Front. Eng. Technol. Res.

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This paper explores the application of AI in predictive maintenance within oil and gas facilities, discussing its benefits, challenges, and future prospects. Through the integration of AI-driven analytics and real-time data monitoring, oil and gas companies can enhance their asset integrity management practices, ultimately driving cost savings and operational excellence. Predictive maintenance has become indispensable in the oil and gas industry, serving as a pivotal strategy to uphold operational efficiency and preserve asset integrity. This paper delves into the profound impact of artificial intelligence (AI) technologies on predictive maintenance, ushering in a new era of proactive equipment management. By harnessing AI capabilities, oil and gas companies can preempt equipment failures, curtail downtime, and refine maintenance protocols, thereby optimizing overall operational performance. The integration of AI in predictive maintenance marks a paradigm shift, offering a proactive approach to asset management. Leveraging AI-driven analytics and real-time data monitoring, oil and gas facilities can fortify their asset integrity management practices. Through predictive algorithms and machine learning models, these technologies empower companies to forecast equipment malfunctions with unprecedented accuracy, allowing for timely interventions and mitigating potential risks the benefits of AI-powered predictive maintenance in the oil and gas sector are multifaceted the future of predictive maintenance in the oil and gas industry is brimming with promise. As AI technologies continue to evolve, we can anticipate further advancements in predictive analytics, fault detection, and decision support systems. By embracing innovation and collaboration, oil and gas companies can harness the full potential of AI-driven predictive maintenance, cementing their position as industry leaders in asset management and operational efficiency.

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“…Resource Allocation, AI-based resource allocation involves the intelligent distribution of resources to maximize output and minimize costs. By analyzing market trends, demand forecasts, and operational constraints, AI algorithms optimize resource allocation decisions, ensuring optimal utilization of assets and enhancing operational efficiency(Igbokwe et al, 2023).Benefits of Real-Time Data Analysis and Decision-Making Enabled by AI Systems Improved Operational Visibility, Realtime data analysis provides oil and gas companies with insights into operational performance, enabling proactive decision-making and timely interventions. By monitoring key performance indicators in real-time, AI systems enhance operational visibility and enable stakeholders to respond swiftly to changing conditions and emerging challenges.Enhanced Decision-Making, AI-driven analytics empower decision-makers with actionable insights derived from realtime data streams.…”

mentioning

confidence: 99%

Integrating artificial intelligence into engineering processes for improved efficiency and safety in oil and gas operations

Chuka Anthony Arinze,

Izionworu, Vincent Onuegbu,

Daniel Isong

et al. 2024

Open Access Res. J. Eng. Technol.

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This paper delves into the significance, challenges, and potential of AI applications within the oil and gas sector. In the dynamic landscape of oil and gas operations, efficiency and safety stand as paramount concerns. Traditional engineering processes, while robust, often face limitations in adapting to the evolving complexities of the industry. However, the advent of AI technologies offers a paradigm shift, presenting unprecedented opportunities for optimization and risk mitigation. This paper explores the multifaceted role of AI in engineering processes throughout the oil and gas value chain. It examines how AI, encompassing machine learning, deep learning, and predictive analytics, empowers decision-makers with real-time insights, optimizing exploration, production, transportation, and refining processes. Efficiency gains are witnessed through predictive maintenance strategies, enabling proactive asset management and minimizing downtime. Additionally, AI-driven process optimization techniques enhance resource allocation, streamlining operations and maximizing output while reducing costs. Moreover, AI's integration fosters a culture of safety by augmenting risk assessment and hazard identification capabilities. Through advanced algorithms, AI systems analyze vast datasets to detect anomalies and predict potential safety hazards, enabling proactive intervention and accident prevention. However, the journey towards AI integration is not without challenges. Technical complexities, regulatory frameworks, and cyber security concerns pose significant hurdles that require careful navigation. Moreover, ethical considerations surrounding data privacy and algorithmic bias necessitate robust governance frameworks to ensure responsible AI deployment. Looking ahead, the paper delineates future trends and opportunities in AI adoption within the oil and gas sector. It underscores the potential for continued innovation and disruption, reshaping workforce dynamics and skill requirements. Embracing AI not only drives operational excellence but also propels the industry towards a sustainable and resilient future

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Emotional Intelligence: Practices to Manage and Develop It

Cited by 3 publications

References 8 publications

Smart Drilling Technologies: Harnessing Ai for Precision and Safety in Oil and Gas Well Construction

Smart Drilling Technologies: Harnessing Ai for Precision and Safety in Oil and Gas Well Construction

Predictive maintenance in oil and gas facilities, leveraging ai for asset integrity management

Integrating artificial intelligence into engineering processes for improved efficiency and safety in oil and gas operations

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