Evaluating the Impact of Integrating Advancing Fourth Industrial Revolution (4IR) Technologies into Predictive Maintenance of Pressure Vessels and Pipelines in the Petrochemical Industry DOI

Thulani Mashaba,

Tebello N.D. Mathaba

Published: Jan. 1, 2024

Language: Английский

Smart Technologies in Enhanced Oil Recovery: Integrating AI, Nanotechnology, and Sustainable Practices DOI Creative Commons
Nouratan Singh,

Poonam Rani,

Neeraj Tandan

et al.

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

Enhanced oil recovery (EOR) is a critical method for extracting additional from mature reservoirs, but it faces increasing pressure to become more efficient and environmentally sustainable. This chapter explores the integration of smart technologies such as artificial intelligence (AI), nanotechnology, sustainable practices into EOR. AI revolutionizing EOR operations by optimizing reservoir management, improving real-time monitoring, reducing operational costs. Nanotechnology enhances through use functionalized nanoparticles fluids, which improve mobility reduce chemical consumption. Additionally, practices, including CO2-EOR, water-efficient techniques, biodegradable chemicals, are being adopted lower environmental impact EOR, especially in terms carbon emissions water use. While challenges remain—such high cost technology fluctuating prices—the future holds promise continuous technological innovation growing emphasis on sustainability.

Language: Английский

Citations

0

Evaluating the Impact of Integrating Fourth Industrial Revolution (4IR) Technologies into Maintenance of Pressure Vessels and Pipelines in the Petrochemical Industry DOI Creative Commons

Thulani Mashaba,

Tebello N.D. Mathaba

Journal of Pipeline Science and Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 100283 - 100283

Published: March 1, 2025

Language: Английский

Citations

0

Enhancing structural health monitoring with AI-ML algorithms: a focus on crack detection and prediction DOI
Ahmad Fuad Bader, Amir Shtayat, Bara’ W. Al-Mistarehi

et al.

Asian Journal of Civil Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

Language: Английский

Citations

0

Corrosion inhibition of acid pickling –descaling-cleaning action on mild steel using aqueous hydroxyethyl cellulose DOI Creative Commons

Vincent Onuegu Izionworu,

W.B. Wan Nik, Mohammad Fakhratul Ridwan Zulkifli

et al.

International Journal of Frontiers in Engineering and Technology Research, Journal Year: 2024, Volume and Issue: 6(2), P. 045 - 053

Published: April 28, 2024

The corrosion inhibition capability of aqueous Hydroxyethyl cellulose (HEC) on mild steel in 1 M HCl solution proposed for pickling, industrial cleaning, and descaling was evaluated at different concentrations immersion times using gravimetric measurement. HEC demonstrated efficiency with a maximum 87% 300 ml acid composed 20% 0.01 80% solution, within an time 120 hours. found to increase the concentration implying that HEC’s action is time-dependent. mechanism adsorption identified be chemisorption hydroxyl (-OH) moiety donated active sites coupled molecules encapsulation chloride ions surface thus preventing corrosive Cl steel.

Language: Английский

Citations

0

A conceptual framework for data-driven business optimization: Enhancing operational efficiency and strategic growth in U.S. small enterprises DOI Creative Commons

Enuma Ezeife,

May Equitozia Eyeregba,

Chukwunweike Mokogwu

et al.

Magna Scientia Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 12(2), P. 182 - 197

Published: Nov. 30, 2024

Small enterprises play a vital role in the U.S. economy, yet many face significant challenges optimizing operations and achieving sustainable growth due to resource constraints market dynamics. This study proposes conceptual framework for data-driven business optimization, aimed at enhancing operational efficiency fostering strategic small enterprises. Leveraging advancements data analytics, integrates predictive modeling, real-time processing, machine learning algorithms enable informed decision-making proactive strategy formulation. The emphasizes three core components: · Data Acquisition Management, which involves collecting structured unstructured from internal external sources build robust repository; Analytics Insights Generation, utilizing advanced tools identify patterns, forecast trends, detect inefficiencies; Strategic Implementation, applying insights streamline workflows, reduce costs, capitalize on emerging opportunities. By aligning strategies with organizational goals, ensures systematic approach addressing unlocking new avenues. Furthermore, this explores of technologies, including artificial intelligence Internet Things (IoT) devices, scalability adaptability framework. It also examines adopting approaches, such as limited technological expertise privacy concerns, offering practical recommendations overcome these barriers. Case studies successful implementations diverse sectors—retail, manufacturing, services—highlight framework's potential deliver measurable outcomes, increased productivity, improved customer satisfaction, competitive advantage. research provides actionable into leveraging asset, innovation, resilience rapidly evolving landscape.

Language: Английский

Citations

0

Evaluating the Impact of Integrating Advancing Fourth Industrial Revolution (4IR) Technologies into Predictive Maintenance of Pressure Vessels and Pipelines in the Petrochemical Industry DOI

Thulani Mashaba,

Tebello N.D. Mathaba

Published: Jan. 1, 2024

Language: Английский

Citations

0