1 citations · 1 across the 4 of their papers we have counts for
4 papers
Contrastive Siamese Representation Learning for Predictive Maintenance of Electrical Submersible Pumps
Seshu K. Damarla, Xiuli Zhu
Electrical submersible pumps (ESPs) are essential in offshore oil production, where unexpected failures can result in significant operational and financial losses. Accurate predict…
Retrieval-based and Fine-tuned LLM Approaches for Industrial Asset Health Monitoring and Decision Support
Seshu Kumar Damarla, Xiuli Zhu
Industrial plants run many important machines such as pumps, turbines, and compressors. Although engineers can use their experience to identify and diagnose machine problems, trans…
Explainable Probabilistic Machine Learning for Predicting Drilling Fluid Loss of Circulation in Marun Oil Field
Seshu Kumar Damarla, Xiuli Zhu
Lost circulation remains a major and costly challenge in drilling operations, often resulting in wellbore instability, stuck pipe, and extended non-productive time. Accurate predic…
Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms
Xiuli Zhu, Seshu Kumar Damarla, Biao Huang
Minimum miscibility pressure (MMP) prediction plays an important role in design and operation of nitrogen based enhanced oil recovery processes. In this work, a comparative study o…