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Su Jiang

Assistant Professor

Carnegie Mellon University

United States

Research Interests

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About

Su Jiang is an Assistant Professor at Carnegie Mellon University in the United States. His research focuses on the application of advanced data-space inversion techniques and surrogate modeling in the fields of subsurface flow and geological carbon storage. Recent articles include developments in efficient models for seawater intrusion prediction and the optimization of reservoir management through innovative data parameterization methods.

Articles (8)

Year:

2026

Year:

2025

Year:

2024

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2023

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (2)

Dipankar Dwivedi

Research Scientist

Lawrence Berkeley National Laboratory

UNITED STATES

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Louis J. Durlofsky

Professor

Stanford University

UNITED STATES

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Su Jiang

Research Interests

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About

Articles (8)

Prediction of fault slip tendency in CO2 storage using data-space inversion

GeoFUSE: An Efficient Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction

History matching for geological carbon storage using data-space inversion with spatio-temporal data parameterization

Use of multifidelity training data and transfer learning for efficient construction of subsurface flow surrogate models

Data-space inversion using a recurrent autoencoder for time-series parameterization

Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems

Treatment of model error in subsurface flow history matching using a data-space method

A data-space inversion procedure for well control optimization and closed-loop reservoir management

Collaborators (2)

Dipankar Dwivedi

Louis J. Durlofsky

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