Characterization of Natural Gas Hydrate Constrained by Well and Seismic Data in Qiongdongnan Basin

Han Yu, Ju Wang (), Zhangshu Lei, Zenggui Kuang, Wei Deng and Lei Lu
Additional contact information
Han Yu: Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510700, China
Ju Wang: School of Computer Science, Yangtze University, Jingzhou 434000, China
Zhangshu Lei: School of Geosciences, China University of Petroleum (Huadong), Qingdao 266580, China
Zenggui Kuang: Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510700, China
Wei Deng: Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510700, China
Lei Lu: Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510700, China

Energies, 2024, vol. 17, issue 21, 1-16

Abstract: This study investigates the natural gas hydrates within the Qiongdongnan Basin by integrating well-log and seismic data. Through pre-stack inversion and rock physics analysis, key parameters such as P-wave and S-wave impedances were utilized to distinguish hydrate-bearing formations from other geological bodies. A low-frequency model was constructed using the Inverse Distance Weighting (IDW) algorithm to improve the precision of parameter inversion. This study employs a multi-constraint inversion strategy, incorporating hard constraints from multiple wells and soft constraints from geological frameworks, ensuring reliable inversion results. Findings indicate that hydrate reservoirs are characterized by increased wave velocity and density due to hydrate accumulation, providing insights into the spatial distribution and characteristics of hydrates. This research enhances the understanding of hydrate reservoirs and offers valuable data for exploration in the Qiongdongnan Basin.

Keywords: pre-stack inversion; hydrate; rock physics analysis; reservoir prediction; Qiongdongnan (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/21/5411/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/21/5411/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:21:p:5411-:d:1510176

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().