..., human factors analysis, advanced analytics, interdisciplinary collaboration, and a culture of continuous improvement, organizations can enhance their ability to prevent incidents, mitigate risks, and promote a safer and more sustainable operating environment. artificial intelligence operational...

... sustainability complex reservoir asset and portfolio management reservoir surveillance production monitoring geological subdiscipline geologist reservoir simulation project economics artificial intelligence sustainable development machine learning business ethics deep learning social responsibility...

... collaboration to effectively counter these threats. Traditionally cybersecurity measures are often reactive and limited in their ability to cope with the rapidly evolving threat landscape. ai system ai model artificial intelligence vulnerability machine learning adversary cybersecurity threat...

..., policymakers and technology developers can make informed decisions; develop targeted interventions, andcultivate collaboration to exploit the full potential of VR/AR technologies in advancing marine education and training initiatives. artificial intelligence marine education and training human...

... Technology is synonymous with change. From the industrial revolution to the digital age, each technological advancement has reshaped the way we work, live, and interact. Today, we stand on the precipice of a new era, driven by artificial intelligence (AI) and digital transformation...

.... workforce pdo knowledge management machine learning digital workforce artificial intelligence digital transformation collaboration petroleum development oman development program talent shift innovation talent shift and build oil and ga company digital talent navigate landscape oil and ga...

... operations. data mining accuracy artificial intelligence arima and linear regression model material reservation linear regression model future material reservation deep learning machine learning filter forecasting forecasting accuracy supply chain management ai model sample output root...

.... artificial intelligence capability dialogue initiative machine learning knowledge management subject matter expert assessment petroleum industry professional growth core competency development plan participant professional development personnel competence participation engagement employee...

...] . Introduction geologist social responsibility geology sustainable development subsea system vbwt modeling & simulation turbine oscillation configuration interaction vortex shedding vibration machine learning offshore platform frequency sustainability artificial intelligence platform...

... in the digital transformation of the oil and gas industry. geology sedimentary rock neural network clastic rock artificial intelligence production monitoring reservoir surveillance artificial neural network machine learning accuracy prediction elkatatny ann model geologist rock type flow...

... to expedited drilling operations and decreased overall drilling costs. geology geologist artificial intelligence real time system geomechanics model surface measurement geological subdiscipline petroleum engineer drilling performance lateral shock specific energy drilling dysfunction wob...

... cost and strategy and also slashed shutdown times by 70% while maintaining plant integrity and availability. leak maintenance efficiency artificial intelligence leak detection integrity valve shutdown application maintenance cost acoustic signal acoustic emission revolutionizing leak...

... the subsurface characterization of low permeability reservoirs and can be used to support well placement and to optimize the drilling and completion operations. fluid dynamics geologist reservoir reservoir geomechanics structural geology artificial intelligence geological subdiscipline variation...

... scape is like and significantly improves the robustness of P10-P50-P90 (low, mid and high) models’ selection. reservoir simulation sedimentary geology depositional environment selection input variable sedimentary rock risk and uncertainty assessment artificial intelligence machine learning...

... Abstract This paper explores the potential of Artificial Intelligence (AI) to enhance operational efficiency and sustainability in Dragon Oil's marine operations within the Cheleken Contract Area, Caspian Sea, Turkmenistan. Special attention is given to optimizing fleet capacity while...

... equipment geologist lwd rock type drilling data acquisition artificial intelligence machine learning efficiency application prediction logging while drilling drilling measurement gamma change gamma trend drilling efficiency drilling parameter hole section drilling process confusion matrix...

... The primary objectives of this research are to: geologist artificial intelligence drilling equipment neural network drilling operation geology prediction rul prediction deep learning machine learning attention mechanism surface information anomaly lstm lstm model accuracy dataset...

... and operations reservoir surveillance sustainable development climate change machine learning workflow calculation co 2 fuel consumption quantification stimulation hydraulic fracturing artificial intelligence production control efficiency reduction real-time data production monitoring engine...

... knowledge-assisted case-based reasoning algorithm reduce false alarm drilling operation early kick and loss detection interference artificial intelligence detection ekld system drilling fluid Introduction Early Kick/Loss Detection In the oil and gas industry, the early detection of kicks...

... and drill bit fouling, further highlights its versatility and utility. drilling operation machine learning deep learning well control annular pressure drilling artificial intelligence prediction loss event drilling data detection time series analysis real-time early kick neural network...