Explanipedia

Soil organic carbon (SOC) prediction using super learner algorithm based on the remote sensing variables Open

Y. Jo, Palash Panja, Hanseup Kim, Milind Deo · 2025

Advanced source rock characterization integrating pyrolysis, petrophysical logs, and machine learning in the unconventional Cane Creek reservoir, Utah Open

Carlos Vega-Ortíz, David List, Gregor Maxwell, Eric Edelman, Eiichi Setoyama , et al. · 2025

A Dynamic 2d Borehole Thermal Energy Storage (Btes) Model for Enhanced Computational Efficiency Open

Mohamed T. Bahr, Piyush Kumar Kumawat, Blake W. Billings, Palash Panja, Kody M. Powell · 2025

A Dynamic 2d Borehole Thermal Energy Storage (Btes) Model for Enhanced Computational Efficiency Open

Mohamed T. Bahr, Piyush Kumar Kumawat, Blake W. Billings, Palash Panja, Kody M. Powell · 2025

Corrigendum to “Sensitivity analysis of borehole thermal energy storage: examining key factors for system optimization” [Energy Storage and Saving, 2024, 3/3 (2024), 218–230] Open

Piyush Kumar Kumawat, Haiyan Zhou, Kevin Kitz, John McLennan, Kody M. Powell , et al. · 2024

Sensitivity analysis of borehole thermal energy storage: examining key factors for system optimization Open

Piyush Kumar Kumawat, Haiyan Zhou, Kevin Kitz, John McLennan, Kody M. Powell , et al. · 2024

Borehole thermal energy storage (BTES) systems have garnered significant attention owing to their efficacy in storing thermal energy for heating and cooling applications. Accurate modeling is paramount for ensuring the precise design and o…

Source Rock Analysis Using Machine-Learning Derived Parameters from Petrophysical Logs in the Unconventional Cane Creek Reservoir, Utah Open

Carlos Vega-Ortíz, David List, Gregor Maxwell, Eric Edelman, Eiichi Setoyama , et al. · 2024

A Dynamic 2d Borehole Thermal Energy Storage (Btes) Model for Enhanced Computational Efficiency Open

Mohamed T. Bahr, Piyush Kumar Kumawat, Blake W. Billings, Palash Panja, Kody M. Powell · 2024

Understanding the performance of membrane for direct air capture of <span>CO<sub>2</sub></span> Open

Palash Panja, Chamila P. Manankandayalage, Maksudul M. Alam, Milind Deo · 2023

Direct air capture (DAC) of CO 2 is becoming increasingly important for reducing greenhouse gas concentrations in the atmosphere. However, the cost and energy requirements associated with DAC make it less economically feasible than carbon …

Adsorption of rare earth elements in carboxylated mesoporous carbon Open

Dipendu Saha, Vidha Bhasin, Syed Khalid, Noah Smeriglio, Sebastian Cuka , et al. · 2023

Convolutional Long Short-Term Memory (convLSTM) for Spatio-Temporal Forecastings of Saturations and Pressure in the SACROC Field Open

Palash Panja, Wei Jia, Alec Nelson, Brian McPherson · 2022

A machine learning architecture composed of convolutional long short-term memory (convLSTM) is developed to predict spatio-temporal parameters in the SACROC oil field, Texas, USA. The spatial parameters are recorded at the end of each mont…

Techno-Economic Analysis of Amine-based CO2 Capture Technology: Hunter Plant Case Study Open

Palash Panja, Brian McPherson, Milind Deo · 2022

The technical and commercial feasibility of carbon dioxide (CO2) capture with sequestration (CCS) in a geologic formation adjacent to PacifiCorp's Hunter Plant was evaluated. This includes the development of expected performance, and capit…

Convolutional Long Short-Term Memory (Convlstm) for Spatio-Temporal Forecastings of Saturations and Pressure in the Sacroc Field Open

Palash Panja, Wei Jia, Alec Nelson, Brian McPherson · 2022

Integrated Workflow for Interpretation of Satellite Imageries Using Machine Learning to Predict Algal Bloom in Lake Open

Robert H. Davis, Palash Panja, John McLennan · 2022

Flow of long chain hydrocarbons through carbon nanotubes (CNTs) Open

Pranay Asai, Palash Panja, Raúl Velasco, Milind Deo · 2021

Prediction of Production Performance using Long Short Term Memory (LSTM) Open

Palash Panja, Wei Jia, Brian McPherson · 2021

Presented at the DOE-NETL 2020 Virtual Meeting - SMART Initiative Annual Review Meeting November 2-3, 2020, 11/2

Impact of permeability heterogeneity on geothermal battery energy storage Open

Palash Panja, John McLennan, Sídney Green · 2021

In the emergence of new technologies to harness renewable energy, industrial-scale storage of heated water in a geothermal system is a promising technique. A porous, permeable medium, bounded by a poorly thermally conductive/convective ove…

Influence of permeability anisotropy and layering on geothermal battery energy storage Open

Palash Panja, John McLennan, Sídney Green · 2020

Pre-processing Protocol for Nonlinear Regression of Uneven Spaced-Data Open

Palash Panja, Pranay Asai, Raúl Velasco, Milind Deo · 2020

Regression of experimental or simulated data has important implications in sensitivity studies, uncertainty analysis, and prediction accuracy. The fitness of a model is highly dependent on the number of data points and the locations of the…

Understanding and modeling of gas-condensate ﬂow in porous media Open

Palash Panja, Raúl Velasco, Milind Deo · 2020

Well deliverability impairment due to liquid dropout inside gas-condensate reservoirs below dew-point pressure is a common production problem. The operating conditions and the thermodynamic properties of the condensate govern the productio…

Confinement Effect on Porosity and Permeability of Shales Open

Jan Goral, Palash Panja, Milind Deo, Matthew Andrew, Sven Linden , et al. · 2020

Porosity and permeability are the key factors in assessing the hydrocarbon productivity of unconventional (shale) reservoirs, which are complex in nature due to their heterogeneous mineralogy and poorly connected nano- and micro-pore syste…

Production Prediction of Hydraulically Fractured Reservoirs Based on Material Balances Open

Raúl Velasco, Palash Panja, Milind Deo · 2019

Transient flow is dominant during most of the productive life of unconventional wells in ultra-low permeabilities resources such as shales. As a result, traditional reservoir performance analysis such as the conventional material balance h…

Production Prediction of Hydraulically Fractured Reservoirs Based on Material Balances Open

Raúl Velasco, Palash Panja, Milind Deo · 2019

Transient flow is dominant during most of the productive life of unconventional wells in ultra-low permeabilities resources such as shales. As a result, traditional reservoir performance analysis such as the conventional material balance h…

Data Processing Protocol for Regression of Geothermal Times Series with Uneven Intervals Open

Palash Panja, Pranay Asai, Raúl Velasco, Milind Deo · 2019

Regression of data generated in simulations or experiments has important implications in sensitivity studies, uncertainty analysis, and prediction accuracy. Depending on the nature of the physical model, data points may not be evenly distr…

Study of Prescribing Pattern of Antihypertensive Drugs and Evaluation of the Prescription with JNC 8 Guidelines in North Karnataka Hospital Open

Ashok Kumar Malpani, Manjunath Waggi, Palash Panja, Thella Monica Christien · 2018

Aim:To conduct a prospective observational study on prescribing pattern of antihypertensive drugs and to evaluate the current practice of antihypertensive drug by comparing with JNC-8 guidelines in north Karnataka hospital.Methods: The stu…

Productions of volatile oil and gas-condensate from liquid rich shales Open

Palash Panja, Manas A. Pathak, Milind Deo · 2018

The growth in productions of liquid hydrocarbons from tight formations (shales) has been phenomenal in recent years. During the production of liquids (oil and condensate), large amounts of associated gas are also produced. The economic via…

Efficient workflow for simulation of multifractured enhanced geothermal systems (EGS) Open

Pranay Asai, Palash Panja, John McLennan, Joseph Moore · 2018

Fluid flow distribution in fractures for a doublet system in Enhanced Geothermal Systems (EGS) Open

Pranay Asai, Palash Panja, Raúl Velasco, John McLennan, Joseph N. Moore · 2018

Simplification workflow for hydraulically fractured reservoirs Open

Raúl Velasco, Palash Panja, Milind Deo · 2018

Production from unconventional formations, such as shales, has significantly increased in recent years by stimulating large portions of a reservoir through the application of horizontal drilling and hydraulic fracturing. Although oil shale…

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