Integrated SOM Multi-Attribute Optimization and Seismic Waveform Inversion for Thin Sand Body Characterization: A Case Study of the Paleogene Lower E<sub>3</sub>d<sub>2</sub> Sub-Member in the HHK Depression, Bohai Bay Basin

Thin-bedded beach-bar reservoirs in the continental faulted basins of eastern China hold significant potential, yet pose challenges for unconventional hydrocarbon development due to their thin-layer characteristics and heterogeneity. This study focuses on the Paleogene Lower E<sub>3</sub>...

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Main Authors: Jing Wang, Dayong Guan, Xiaobo Huang, Youbin He, Hua Li, Wei Xu, Rui Liu, Bin Feng
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
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Online Access:https://www.mdpi.com/2076-3417/15/9/5134
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author Jing Wang
Dayong Guan
Xiaobo Huang
Youbin He
Hua Li
Wei Xu
Rui Liu
Bin Feng
author_facet Jing Wang
Dayong Guan
Xiaobo Huang
Youbin He
Hua Li
Wei Xu
Rui Liu
Bin Feng
author_sort Jing Wang
collection DOAJ
description Thin-bedded beach-bar reservoirs in the continental faulted basins of eastern China hold significant potential, yet pose challenges for unconventional hydrocarbon development due to their thin-layer characteristics and heterogeneity. This study focuses on the Paleogene Lower E<sub>3</sub>d<sub>2</sub> Sub-member in the HHK Depression, Bohai Bay Basin as a case study. We propose an innovative technical framework integrating Self-Organizing Map (SOM) multi-attribute optimization with seismic waveform inversion. Petrophysical analysis demonstrates that waveform-indicated inversion can detect 1.8–3.0 m thin sandstones, achieving a 90.2% mean match rate (95% CI: 87.5–92.7%, n = 12; bootstrap resampling) for training wells and 81.5% (95% CI: 76.8–85.3%, n = 11) for validation wells. By integrating SOM seismic attribute clustering with seismic waveform inversion, we were able to delineate microfacies boundaries with precision, enhancing the visibility of beach-bar sand body distributions. This methodology establishes a new paradigm for thin-bed sandstone prediction in low-well-control areas, providing critical support for geological interpretation and resource evaluation in complex depositional systems.
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spelling doaj-art-6e9cca526c6d4ef991fc4d35c4c8be8e2025-08-20T02:24:45ZengMDPI AGApplied Sciences2076-34172025-05-01159513410.3390/app15095134Integrated SOM Multi-Attribute Optimization and Seismic Waveform Inversion for Thin Sand Body Characterization: A Case Study of the Paleogene Lower E<sub>3</sub>d<sub>2</sub> Sub-Member in the HHK Depression, Bohai Bay BasinJing Wang0Dayong Guan1Xiaobo Huang2Youbin He3Hua Li4Wei Xu5Rui Liu6Bin Feng7School of Geosciences, Yangtze University, Wuhan 430100, ChinaCNOOC China Limited Tianjin Branch, Tianjin 300450, ChinaCNOOC China Limited Tianjin Branch, Tianjin 300450, ChinaSchool of Geosciences, Yangtze University, Wuhan 430100, ChinaSchool of Geosciences, Yangtze University, Wuhan 430100, ChinaCNOOC China Limited Tianjin Branch, Tianjin 300450, ChinaCNOOC China Limited Tianjin Branch, Tianjin 300450, ChinaSchool of Geosciences, Yangtze University, Wuhan 430100, ChinaThin-bedded beach-bar reservoirs in the continental faulted basins of eastern China hold significant potential, yet pose challenges for unconventional hydrocarbon development due to their thin-layer characteristics and heterogeneity. This study focuses on the Paleogene Lower E<sub>3</sub>d<sub>2</sub> Sub-member in the HHK Depression, Bohai Bay Basin as a case study. We propose an innovative technical framework integrating Self-Organizing Map (SOM) multi-attribute optimization with seismic waveform inversion. Petrophysical analysis demonstrates that waveform-indicated inversion can detect 1.8–3.0 m thin sandstones, achieving a 90.2% mean match rate (95% CI: 87.5–92.7%, n = 12; bootstrap resampling) for training wells and 81.5% (95% CI: 76.8–85.3%, n = 11) for validation wells. By integrating SOM seismic attribute clustering with seismic waveform inversion, we were able to delineate microfacies boundaries with precision, enhancing the visibility of beach-bar sand body distributions. This methodology establishes a new paradigm for thin-bed sandstone prediction in low-well-control areas, providing critical support for geological interpretation and resource evaluation in complex depositional systems.https://www.mdpi.com/2076-3417/15/9/5134unconventional hydrocarbon explorationthin-layered sand bodiesbeach-barself-organizing mapsseismic meme inversion
spellingShingle Jing Wang
Dayong Guan
Xiaobo Huang
Youbin He
Hua Li
Wei Xu
Rui Liu
Bin Feng
Integrated SOM Multi-Attribute Optimization and Seismic Waveform Inversion for Thin Sand Body Characterization: A Case Study of the Paleogene Lower E<sub>3</sub>d<sub>2</sub> Sub-Member in the HHK Depression, Bohai Bay Basin
Applied Sciences
unconventional hydrocarbon exploration
thin-layered sand bodies
beach-bar
self-organizing maps
seismic meme inversion
title Integrated SOM Multi-Attribute Optimization and Seismic Waveform Inversion for Thin Sand Body Characterization: A Case Study of the Paleogene Lower E<sub>3</sub>d<sub>2</sub> Sub-Member in the HHK Depression, Bohai Bay Basin
title_full Integrated SOM Multi-Attribute Optimization and Seismic Waveform Inversion for Thin Sand Body Characterization: A Case Study of the Paleogene Lower E<sub>3</sub>d<sub>2</sub> Sub-Member in the HHK Depression, Bohai Bay Basin
title_fullStr Integrated SOM Multi-Attribute Optimization and Seismic Waveform Inversion for Thin Sand Body Characterization: A Case Study of the Paleogene Lower E<sub>3</sub>d<sub>2</sub> Sub-Member in the HHK Depression, Bohai Bay Basin
title_full_unstemmed Integrated SOM Multi-Attribute Optimization and Seismic Waveform Inversion for Thin Sand Body Characterization: A Case Study of the Paleogene Lower E<sub>3</sub>d<sub>2</sub> Sub-Member in the HHK Depression, Bohai Bay Basin
title_short Integrated SOM Multi-Attribute Optimization and Seismic Waveform Inversion for Thin Sand Body Characterization: A Case Study of the Paleogene Lower E<sub>3</sub>d<sub>2</sub> Sub-Member in the HHK Depression, Bohai Bay Basin
title_sort integrated som multi attribute optimization and seismic waveform inversion for thin sand body characterization a case study of the paleogene lower e sub 3 sub d sub 2 sub sub member in the hhk depression bohai bay basin
topic unconventional hydrocarbon exploration
thin-layered sand bodies
beach-bar
self-organizing maps
seismic meme inversion
url https://www.mdpi.com/2076-3417/15/9/5134
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