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Jyotsna Sharma

Professor

Louisiana State University

United States

Research Interests

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About

Dr. Jyotsna Sharma is an Assistant Professor at Louisiana State University in the United States. Her research focuses on advanced sensing technologies, with recent publications covering topics such as fiber optic sensors, gas detection, and radiation environments. She has contributed to the design and simulation of CO2 sensors, as well as the study of the electrical behavior of single crystals under high-energy photons.

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UNITED STATES

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Jianwei Wang

Associate Professor

Louisiana State University

UNITED STATES

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Jyotsna Sharma

Research Interests

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Articles (27)

Automated radiation detection using CsPbBr₃ perovskite sensors using machine learning

Unraveling Mass-Transfer Effects on Gas Influx Behaviors in Nonaqueous Fluids: Modeling and Full-Scale Well-Control Experiments with Rheology-Controlled Water-Based Mud and Synthetic Oil-Based Mud Systems

Enhancing Offshore Drilling Safety: Identification and Integration of Leading Indicators for Loss of Offshore Well Control

Quantum-assisted support vector machine ensembles for SAR-based oil spill detection

Quantum‐Enhanced Distributed Fiber‐Optic Sensing: Current State and Future Perspectives

Cesium Lead Bromide-Coated Fiber Bragg Grating Sensors for Gamma Radiation Environments

Study of the Electrical Behavior of CsPbBr3 Single Crystal and Films under Visible and High-Energy Photons

Design and Simulation of CO2 Sensors Using Metal–Organic Framework Coated Optical Fibers

Recent advances in Metal-Organic Framework-Based fiber optic sensors and Photodetectors: Synthesis, Properties, and applications

Study of Sand Transport in a Horizontal Pipeline Using Validated Computational Fluid Dynamics Simulations with Experimental Fiber-Optic Distributed Acoustic Sensing Data

Mapping and Characterization of Local Structures of CsPbBr3

Comparison of Gas Signature and Void Fraction in Water- and Oil-Based Muds Using Fiber-Optic Distributed Acoustic Sensor, Distributed Temperature Sensor, and Distributed Strain Sensor

Improved gas influx distribution estimation using interfacial area transport equation (IATE) enabled two-fluid model: An advanced modeling and full-scale experimental study

A Hermetic Package Technique for Multi-Functional Fiber Sensors through Pressure Boundary of Energy Systems Based on Glass Sealants

Experimental Study on Sand Detection and Monitoring Using Distributed Acoustic Sensing for Multiphase Flow in Horizontal Pipes

Machine-Learning-Assisted Leak Detection Using Distributed Temperature and Acoustic Sensors

Machine Learning for Automated Sand Transport Monitoring in a Pipeline Using Distributed Acoustic Sensor Data

Fiber-Optic DAS and DTS for monitoring riser gas migration

Fixed Choke Constant Outflow Circulation Method for Riser Gas Handling: Full-Scale Tests in Water- and Synthetic-Based Mud with Gauges and Distributed Fiber-Optic Sensors

Monitoring and Characterization of Gas Migration in Oil-Based Mud Using Fiber-Optic DAS and DTS

Empirical Correlations for Predicting Flow Rates Using Distributed Acoustic Sensor Measurements, Validated with Wellbore and Flow Loop Data Sets

Feature extraction techniques for noisy distributed acoustic sensor data acquired in a wellbore

Well-scale experimental and numerical modeling studies of gas bullheading using fiber-optic DAS and DTS

Degradation Analysis of Single-Mode and Multimode Fibers in a Full-Scale Wellbore and Its Impact on DAS and DTS Measurements

New Experimental Results Show the Application of Fiber Optic to Detect and to Track Gas Position in Marine Risers and Shed Light on the Gas Migration Phenomenon Inside a Closed Well

Low-Frequency Distributed Acoustic Sensing for Early Gas Detection in a Wellbore

Ensemble Machine Learning Assisted Reservoir Characterization Using Field Production Data–An Offshore Field Case Study

Collaborators (8)

Paulo Waltrich

Yuanhang Chen

Qirui Wang

Manas Ranjan Gartia

Sviatoslav Baranets

Guangyin Zhang

Chen Wei

Jianwei Wang

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