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Journal Articles

Data-Driven Inversion-Free Workflow of Well Performance Forecast Under Uncertainty for Fractured Shale Gas Reservoirs

Hai Lin, Fujian Zhou, Cong Xiao, Xiangtong Yang, Yan Wang, Yang Zhang, Tengfei Hou

Publisher: ASME

J. Energy Resour. Technol. July 2023, 145(7): 072603.

Paper No: JERT-22-1005

https://doi.org/10.1115/1.4055537

Published Online: February 20, 2023

View Article titled, Data-Driven Inversion-Free Workflow of Well Performance Forecast Under Uncertainty for Fractured Shale Gas Reservoirs

Topics: Fracture (Materials), Fracture (Process), Reservoirs, Shales, Uncertainty, Workflow, Uncertainty quantification

Journal Articles

Improving Forecast Uncertainty Quantification by Incorporating Production History and Using a Modified Ranking Method of Geostatistical Realizations

Kazem Monfaredi, Mohammad Emami Niri, Behnam Sedaee

Publisher: ASME

J. Energy Resour. Technol. September 2020, 142(9): 093004.

Paper No: JERT-20-1127

https://doi.org/10.1115/1.4046732

Published Online: April 8, 2020

View Article titled, Improving Forecast Uncertainty Quantification by Incorporating Production History and Using a Modified Ranking Method of Geostatistical Realizations

Topics: Flow (Dynamics), Reservoirs, Uncertainty, Uncertainty quantification, Simulation, Probability

Journal Articles

Uncertainty Quantification of Aerodynamic Icing Losses in Wind Turbine With Polynomial Chaos Expansion

Narges Tabatabaei, Mehrdad Raisee, Michel J. Cervantes

Publisher: ASME

J. Energy Resour. Technol. May 2019, 141(5): 051210.

Paper No: JERT-18-1463

https://doi.org/10.1115/1.4042732

Published Online: April 1, 2019

View Article titled, Uncertainty Quantification of Aerodynamic Icing Losses in Wind Turbine With Polynomial Chaos Expansion

Topics: Airfoils, Blades, Chaos, Computational fluid dynamics, Ice, Polynomials, Stress, Wind turbines, Shapes, Uncertainty quantification

Journal Articles

Use of Clustered Covariance and Selective Measurement Data in Ensemble Smoother for Three-Dimensional Reservoir Characterization

Kyungbook Lee, Seungpil Jung, Taehun Lee, Jonggeun Choe

Publisher: ASME

J. Energy Resour. Technol. March 2017, 139(2): 022905.

Paper No: JERT-16-1036

https://doi.org/10.1115/1.4034443

Published Online: August 23, 2016

View Article titled, Use of Clustered Covariance and Selective Measurement Data in Ensemble Smoother for Three-Dimensional Reservoir Characterization

Topics: Permeability, Reservoirs, Simulation, Uncertainty quantification, Reliability

Journal Articles

Uncertainty Quantification Using Streamline Based Inversion and Distance Based Clustering

Jihoon Park, Jeongwoo Jin, Jonggeun Choe

Publisher: ASME

J. Energy Resour. Technol. January 2016, 138(1): 012906.

Paper No: JERT-14-1200

https://doi.org/10.1115/1.4031446

Published Online: September 29, 2015

View Article titled, Uncertainty Quantification Using Streamline Based Inversion and Distance Based Clustering

Topics: Permeability, Reservoirs, Uncertainty, Uncertainty quantification, Simulation

Journal Articles

Quantification of Uncertainty in Reserve Estimation From Decline Curve Analysis of Production Data for Unconventional Reservoirs

Yueming Cheng, W. John Lee, Duane A. McVay

Publisher: ASME

J. Energy Resour. Technol. December 2008, 130(4): 043201.

https://doi.org/10.1115/1.3000096

Published Online: October 28, 2008

View Article titled, Quantification of Uncertainty in Reserve Estimation From Decline Curve Analysis of Production Data for Unconventional Reservoirs

Topics: Natural gas wells, Reliability, Reservoirs, Uncertainty, Wells, Statistical analysis, Uncertainty quantification

Journal citation

NARROW

Data-Driven Inversion-Free Workflow of Well Performance Forecast Under Uncertainty for Fractured Shale Gas Reservoirs

Improving Forecast Uncertainty Quantification by Incorporating Production History and Using a Modified Ranking Method of Geostatistical Realizations

Uncertainty Quantification of Aerodynamic Icing Losses in Wind Turbine With Polynomial Chaos Expansion

Use of Clustered Covariance and Selective Measurement Data in Ensemble Smoother for Three-Dimensional Reservoir Characterization

Uncertainty Quantification Using Streamline Based Inversion and Distance Based Clustering

Quantification of Uncertainty in Reserve Estimation From Decline Curve Analysis of Production Data for Unconventional Reservoirs

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

Data-Driven Inversion-Free Workflow of Well Performance Forecast Under Uncertainty for Fractured Shale Gas Reservoirs

Improving Forecast Uncertainty Quantification by Incorporating Production History and Using a Modified Ranking Method of Geostatistical Realizations

Uncertainty Quantification of Aerodynamic Icing Losses in Wind Turbine With Polynomial Chaos Expansion

Use of Clustered Covariance and Selective Measurement Data in Ensemble Smoother for Three-Dimensional Reservoir Characterization

Uncertainty Quantification Using Streamline Based Inversion and Distance Based Clustering

Quantification of Uncertainty in Reserve Estimation From Decline Curve Analysis of Production Data for Unconventional Reservoirs

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

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