Origin, Migration, and Characterization of Gas in the Xinglongtai Area, Liaohe Subbasin (Northeast China): Insight from Geochemical Evidence and Basin Modeling

Sibo Yang, Meijun Li (), Yanshan Wang, Hong Xiao, Shuangquan Huang, Wujiang Kang and Fangzheng Wang
Additional contact information
Sibo Yang: National Key Laboratory of Petroleum Resources and Engineering, College of Geosciences, China University of Petroleum, Beijing 102249, China
Meijun Li: National Key Laboratory of Petroleum Resources and Engineering, College of Geosciences, China University of Petroleum, Beijing 102249, China
Yanshan Wang: Research Institute of Petroleum Exploration and Development, Liaohe Oilfield Company, PetroChina, Panjin 124010, China
Hong Xiao: National Key Laboratory of Petroleum Resources and Engineering, College of Geosciences, China University of Petroleum, Beijing 102249, China
Shuangquan Huang: Research Institute of Petroleum Exploration and Development, Liaohe Oilfield Company, PetroChina, Panjin 124010, China
Wujiang Kang: Research Institute of Petroleum Exploration and Development, Liaohe Oilfield Company, PetroChina, Panjin 124010, China
Fangzheng Wang: No. 3 Gas Production Plant, Changqing Oilfield Company, PetroChina, Ordos 017000, China

Energies, 2023, vol. 16, issue 18, 1-23

Abstract: Buried hill zones in the rift basins have a significant impact on the enrichment of natural gas resources, and this is of great significance for exploration and development. This study aims to unravel the origins, migration, and dynamic accumulation process of natural gas in the Xinglongtai structural belt, Liaohe Subbasin. A comprehensive geological and geochemical analysis was performed on source rocks and natural gas samples from various geological structures within the Xinglongtai structural belt. Moreover, basin modeling techniques were employed to trace the genesis and migration of natural gas, offering an in-depth understanding of the dynamic process of accumulation. We identified the Fourth Mbr (Es 4 ) and Third Mbr (Es 3 ) of the Shahejie Fm as the main source rocks in the Qingshui and Chenjia Sags. The Es 4 , primarily Shallow Lacustrine Mudstones, contributed mainly type II organic matter, while the Es 3 , consisting of Nearshore Subaqueous Fan and Deep Lacustrine Mudstones, contributed mainly type III and type II organic matter, respectively. Two distinct hydrocarbon accumulation systems were observed, one inside and one outside the buried hills. The system outside the buried hill is governed by a complex fault system within the lacustrine basin, resulting in dual-source directions, dual-source rock types, two migration phases, and late-stage accumulation. In contrast, the system within the buried hill primarily involves reservoirs nested in the basement, exhibiting dual-source directions, dual-source rock types, a single migration phase, and early-stage charging. The understanding of this interplay, alongside dynamic simulation of generation, migration, and accumulation, can provide valuable insights for predicting natural gas distribution and accumulation patterns in terrestrial faulted lacustrine basins. This knowledge can guide more effective exploration and development strategies for natural gas.

Keywords: Lacustrine-rift basins; gas-source correlation; natural gas genetic type; gas generation–migration–accumulation modeling; effective gas source rocks; mixed genetic gas; the Xinglongtai structural belt (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: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/18/6429/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/18/6429/ (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:16:y:2023:i:18:p:6429-:d:1233515

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 ().