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Chung-Yan Shih

National Energy Technology Laboratory

3610 Collins Ferry Rd

Morgantown, WV 26507

United States

SCHOLARLY PAPERS

3

DOWNLOADS

182

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

A Machine Learning-Based Field-Scale Reservoir Analysis Method

Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT-16) 23-24 Oct 2022
Number of pages: 14 Posted: 09 Nov 2022
Xiongjun Wu, Chung-Yan Shih, Guoxiang Liu, MacKenzie Mark-Moser and Patrick Wingo
National Energy Technology Laboratory, National Energy Technology Laboratory, Government of the United States of America - National Energy Technology Laboratory (NETL), National Energy Technology Laboratory and National Energy Technology Laboratory
Downloads 83 (783,685)

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Machine Learning; Field-Scale Modeling; Geological Carbon Storage

2.

Drivers of Oil and Gas Well Integrity Issues in the Greater Wattenberg Area of Colorado

Number of pages: 33 Posted: 13 Sep 2024
Greg Lackey, Alec Dyer, Isabelle Pfander, Chung-Yan Shih and Robert Dilmore
National Energy Technology Laboratory, National Energy Technology Laboratory, National Energy Technology Laboratory, National Energy Technology Laboratory and National Energy Technology Laboratory
Downloads 52 (1,041,696)

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Oil and gas, well integrity, groundwater quality, Colorado, machine learning, Greenhouse gas emissions

3.

Understanding Drivers of Oil and Gas Well Integrity Issues in the Greater Wattenberg Area of Colorado

Number of pages: 28 Posted: 09 Dec 2024
Greg Lackey, Alec Dyer, Isabelle Pfander, Chung-Yan Shih and Robert Dilmore
National Energy Technology Laboratory, National Energy Technology Laboratory, National Energy Technology Laboratory, National Energy Technology Laboratory and National Energy Technology Laboratory
Downloads 47 (1,097,529)

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well integrity, sustained casing pressure, well leakage risk, groundwater quality, air quality, greenhouse gas emissions