Sandong Zhou
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Sandong Zhou has a total of 66 co-authors. Here are the top co-authors by number of shared publications:
- Dameng Liu
School of Energy Resources, China University of Geosciences, Beijing 100083, China
13 shared publications Detian Yan
12 shared publicationsHua Wang
8 shared publications- Yanbin Yao
China University of Geosciences, Beijing
8 shared publications Yidong Cai
8 shared publicationsWeixin Zhang
6 shared publications
Latest Publications
- 3 January 2026
- Published by Elsevier in International Journal of Hydrogen Energy
- Vol. 205
An evaluation of hydrogen adsorption in shale reservoirs using machine learning and SHapley Additive exPlanation
- 3 January 2026
- Published by Elsevier in International Journal of Hydrogen Energy
- Vol. 205
An evaluation of hydrogen adsorption in shale reservoirs using machine learning and SHapley Additive exPlanation
- 1 January 2026
- Published by Editorial Office of Earth Science in Earth Science-Journal of China University of Geosciences
准噶尔盆地哈山地区风城组不同岩相储层含油饱和度表征
《地球科学》(ISSN 1000-2383;CN42-1874/P) (原刊名《地球科学——中国地质大学学报》ISSN 1000-2383;CN42-1233/P),创刊于1957年,是由教育部主管、中国地质大学主办的综合性地学学术理论期刊,月刊,2015年改名为《地球科学》,她以反映中国地质大学教学与科研最新的、高水平的基础地质、应用地质、资源与环境地质及地学工程技术研究成果为主要任务。
- 1 January 2026
- Published by Editorial Office of Earth Science in Earth Science-Journal of China University of Geosciences
准噶尔盆地哈山地区风城组不同岩相储层含油饱和度表征
《地球科学》(ISSN 1000-2383;CN42-1874/P) (原刊名《地球科学——中国地质大学学报》ISSN 1000-2383;CN42-1233/P),创刊于1957年,是由教育部主管、中国地质大学主办的综合性地学学术理论期刊,月刊,2015年改名为《地球科学》,她以反映中国地质大学教学与科研最新的、高水平的基础地质、应用地质、资源与环境地质及地学工程技术研究成果为主要任务。
- 1 January 2026
- Published by Editorial Office of Earth Science in Earth Science-Journal of China University of Geosciences
超临界CO2作用下深部煤裂缝扩展与增透提产一体化研究进展
《地球科学》(ISSN 1000-2383;CN42-1874/P) (原刊名《地球科学——中国地质大学学报》ISSN 1000-2383;CN42-1233/P),创刊于1957年,是由教育部主管、中国地质大学主办的综合性地学学术理论期刊,月刊,2015年改名为《地球科学》,她以反映中国地质大学教学与科研最新的、高水平的基础地质、应用地质、资源与环境地质及地学工程技术研究成果为主要任务。
- 1 January 2026
- Published by Editorial Office of Earth Science in Earth Science-Journal of China University of Geosciences
超临界CO2作用下深部煤裂缝扩展与增透提产一体化研究进展
《地球科学》(ISSN 1000-2383;CN42-1874/P) (原刊名《地球科学——中国地质大学学报》ISSN 1000-2383;CN42-1233/P),创刊于1957年,是由教育部主管、中国地质大学主办的综合性地学学术理论期刊,月刊,2015年改名为《地球科学》,她以反映中国地质大学教学与科研最新的、高水平的基础地质、应用地质、资源与环境地质及地学工程技术研究成果为主要任务。
- 14 November 2025
- Published by Elsevier in Applied Geochemistry
- Vol. 195
Paleoenvironment-driven organic matter differential accumulation: New data from the Paleogene lacustrine shale in Yitong basin, NE China
- 14 November 2025
- Published by Elsevier in Applied Geochemistry
- Vol. 195
Paleoenvironment-driven organic matter differential accumulation: New data from the Paleogene lacustrine shale in Yitong basin, NE China
- 3 September 2025
- Published by Springer Nature in Natural Resources Research
- Vol. 34 (6) , 3049-3071
An Interpretable Stacking Ensemble Model for Predicting Free Hydrocarbons Content in Shale
- 3 September 2025
- Published by Springer Nature in Natural Resources Research
- Vol. 34 (6) , 3049-3071
An Interpretable Stacking Ensemble Model for Predicting Free Hydrocarbons Content in Shale
- 2 June 2025
- Published by Springer Nature in Earth Science Informatics
- Vol. 18 (2) , 1-22
Application of machine learning model in shale TOC content prediction based on well log data: enhancing model interpretability by SHAP
- 2 June 2025
- Published by Springer Nature in Earth Science Informatics
- Vol. 18 (2) , 1-22
Application of machine learning model in shale TOC content prediction based on well log data: enhancing model interpretability by SHAP
- 9 January 2025
- Published by Society of Exploration Geophysicists in Geophysics
- Vol. 90 (5) , IM119-IM131
Seismic horizon picking via marching semblance dynamic time warping
Seismic horizon interpretation is critical for reservoir modeling, but it remains labor intensive and subjective when performed manually. Although automated approaches can be efficient, they struggle with complex geologic features (e.g., faults and unconformities) and noisy data. We introduce marching semblance dynamic time warping (DTW), a robust algorithm that enhances horizon tracking by integrating seismic semblance with DTW in a novel framework. Traditional DTW-based methods often fail to maintain lateral continuity and exhibit poor noise robustness, particularly in structurally intricate zones. Our approach replaces DTW’s conventional Euclidean distance with seismic semblance to improve noise resilience and uses a marching mechanism that propagates optimal alignment paths across adjacent traces, ensuring coherent horizon extraction even across discontinuities. The method reduces computational overhead through adaptive windowing while preserving geologic consistency. Tests on synthetic and field data sets demonstrate superior performance over conventional DTW, achieving higher accuracy in faulted regions and improved computational efficiency. This innovation enables reliable large-scale horizon interpretation with minimal user intervention, advancing the feasibility of automated seismic analysis in complex subsurface environments.
- 9 January 2025
- Published by Society of Exploration Geophysicists in Geophysics
- Vol. 90 (5) , IM119-IM131
Seismic horizon picking via marching semblance dynamic time warping
Seismic horizon interpretation is critical for reservoir modeling, but it remains labor intensive and subjective when performed manually. Although automated approaches can be efficient, they struggle with complex geologic features (e.g., faults and unconformities) and noisy data. We introduce marching semblance dynamic time warping (DTW), a robust algorithm that enhances horizon tracking by integrating seismic semblance with DTW in a novel framework. Traditional DTW-based methods often fail to maintain lateral continuity and exhibit poor noise robustness, particularly in structurally intricate zones. Our approach replaces DTW’s conventional Euclidean distance with seismic semblance to improve noise resilience and uses a marching mechanism that propagates optimal alignment paths across adjacent traces, ensuring coherent horizon extraction even across discontinuities. The method reduces computational overhead through adaptive windowing while preserving geologic consistency. Tests on synthetic and field data sets demonstrate superior performance over conventional DTW, achieving higher accuracy in faulted regions and improved computational efficiency. This innovation enables reliable large-scale horizon interpretation with minimal user intervention, advancing the feasibility of automated seismic analysis in complex subsurface environments.