Recent advancements in data-driven methodologies for the fault diagnosis and prognosis of marine systems: A systematic review
In recent years, there has been an interest increase in smart maintenance within the
ship** sector due to the benefits and opportunities associated with its implementation …
ship** sector due to the benefits and opportunities associated with its implementation …
Towards drilling rate of penetration prediction: Bayesian neural networks for uncertainty quantification
M Bizhani, E Kuru - Journal of Petroleum Science and Engineering, 2022 - Elsevier
Drilling rate of penetration (ROP) prediction has long been a part of any drilling activity. By
accurate prediction of ROP, optimization can be done that maximizes ROP and reduces …
accurate prediction of ROP, optimization can be done that maximizes ROP and reduces …
Depression prediction based on LassoNet-RNN model: A longitudinal study
Depression has become a widespread health concern today. Understanding the influencing
factors can promote human mental health as well as provide a basis for exploring preventive …
factors can promote human mental health as well as provide a basis for exploring preventive …
Real-time prediction of logging parameters during the drilling process using an attention-based Seq2Seq model
In recent years, there has been a notable upsurge within the drilling industry regarding the
construction of machine learning models that leverage logging parameters to augment …
construction of machine learning models that leverage logging parameters to augment …
Real-time and multi-objective optimization of rate-of-penetration using machine learning methods
C Zhang, X Song, Z Liu, B Ma, Z Lv, Y Su, G Li… - Geoenergy Science and …, 2023 - Elsevier
Rate of penetration and mechanical specific energy are two widely used objectives when
optimizing the drilling process, yet a simultaneous optimization of both is still a challenge …
optimizing the drilling process, yet a simultaneous optimization of both is still a challenge …
Pragmatic degradation learning for scene text image super-resolution with data-training strategy
S Yang, L **e, X Ran, J Lei, X Qian - Knowledge-Based Systems, 2024 - Elsevier
Super-resolution of scene text images represents a formidable computational problem,
marred by a myriad of intricate challenges. This paper focuses on the specific hurdles that …
marred by a myriad of intricate challenges. This paper focuses on the specific hurdles that …
[HTML][HTML] Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
The convergence of Artificial Intelligence (AI) and neuroscience is redefining our
understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy …
understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy …
Quantitative evaluation of imputation methods using bounds estimation of the coefficient of determination for data-driven models with an application to drilling logs
With the constantly increasing quantity of data recorded in the oil and gas industry, data
analytics and data-driven algorithms are gaining popularity. Meanwhile, they are highly …
analytics and data-driven algorithms are gaining popularity. Meanwhile, they are highly …
Deep sequence model-based approach to well log data imputation and petrophysical analysis: A case study on the West Natuna Basin, Indonesia
Well log data imputation is crucial for subsurface geology interpretation, which helps identify
the most productive areas for drilling, minimize exploration risks, and maximize hydrocarbon …
the most productive areas for drilling, minimize exploration risks, and maximize hydrocarbon …
Global Optimization Workflow for Offshore Drilling Rate of Penetration With Dynamic Drilling Log Data
J Cao, H Ren, D Sui - International Conference on …, 2022 - asmedigitalcollection.asme.org
The prediction and optimization of drilling rate of penetration (ROP) are among the most
effective approaches in improving drilling efficiency. To achieve that, it calls for a well …
effective approaches in improving drilling efficiency. To achieve that, it calls for a well …