226 citations
- The University of Texas at AustinUS4 papers
- Analysis Group (United States)US1 paper
- Asian Institute of TechnologyTH1 paper
- Bureau of Economic Geology1 paper
- Chiang Mai UniversityTH1 paper
- Chinese Academy of SciencesCN1 paper
- EarthTech International (United States)US1 paper
- Emory UniversityUS1 paper
- Escuela Superior Politecnica del LitoralEC1 paper
- Graz University of TechnologyAT1 paper
- Indiana University BloomingtonUS1 paper
- Indian Institute of Technology KharagpurIN1 paper
6 papers
Regression with Observational Multilayered Network Data
Juan Estrada, Kim Huynh, David Jacho-Chavez +1
A novel method to estimate social effect coefficients in the popular so-called linear-in-means regression model in the Social Sciences is presented here that utilizes non-experimen…
Geomechanics Contribution to CO2 Storage Containment and Trapping Mechanisms in Tight Sandstone Complexes: A Case Study on Mae Moh Basin
Romal Ramadhan, Khomchan Promneewat, Vorasate Thanasaksukthawee +6
Recognized as a not-an-option approach to mitigate the climate crisis, carbon dioxide capture and storage (CCS) has a potential as much as gigaton of CO2 to sequestrate permanently…
A Computationally Efficient Hybrid Neural Network Architecture for Porous Media: Integrating Convolutional and Graph Neural Networks for Improved Property Predictions
Qingqi Zhao, Xiaoxue Han, Ruichang Guo +1
Porous media is widely distributed in nature, found in environments such as soil, rock formations, and plant tissues, and is crucial in applications like subsurface oil and gas ext…
MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep Learning
Abhishek Bihani, Hugh Daigle, Javier E. Santos +3
Segmentation and analysis of individual pores and grains of mudrocks from scanning electron microscope images is non-trivial because of noise, imaging artifacts, variation in pixel…
Combining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch?
Alexander Y. Sun, Bridget R. Scanlon, Zizhan Zhang +4
Global hydrological and land surface models are increasingly used for tracking terrestrial total water storage (TWS) dynamics, but the utility of existing models is hampered by con…
Recent La Plata basin drought conditions observed by satellite gravimetry
J. L. Chen, C. R. Wilson, B. D. Tapley +3
The Gravity Recovery and Climate Experiment (GRACE) provides quantitative measures of terrestrial water storage (TWS) change. GRACE data show a significant decrease in TWS in the l…