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ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Solid Earth Geophysics
Volume 13 - 2025 | doi: 10.3389/feart.2025.1456257
This article is part of the Research Topic Experimental and Numerical Simulations of Rock Physics View all 16 articles
Multi-scale CT Imaging technique characterization of Volcanic Rock Reservoirs: A study case from the Changling fault depression of the Southern Songliao Basin
Provisionally accepted- 1 Sinopec Northeast Oil and Gas Branch, Changchun, China
- 2 College of Earth Sciences, Jilin University, Changchun, Hebei Province, China
- 3 Northeast Petroleum University, Daqing, China
This study undertook the microscopic characterization of pore structures within volcanic rock reservoirs located in the Changling fault depression of the southern Songliao Basin, a region with substantial oil and gas resource potential. Multi-scale computed tomography (CT) imaging technology was employed for the characterization of reservoirs. Three representative volcanic rock samples were selected and subjected to a three-tier micrometer CT scanning. This process was integrated with mercury intrusion porosimetry (MIP) data to construct a multi-scale digital rock model of the pore network. Through both qualitative and quantitative analyses, we were able to elucidate the three-dimensional characteristics of pore-throat structures across different types of storage spaces. Parameters such as reservoir porosity, connectivity, and pore-throat radius distribution were calculated. The results demonstrate that integrating multi-scale CT scanning with mercury intrusion data provides a robust method for characterizing the three-dimensional pore distribution effectively. This research provides an in-depth understanding of the microscopic characteristics of volcanic rock reservoirs and establishes a scientific and technical foundation for advancing the exploration and development of oil and gas resources.
Keywords: Volcanic rock reservoir, Multi-scale CT imaging, Microscopic characterization, Pore network model, Oil and gas exploration
Received: 28 Jun 2024; Accepted: 06 Mar 2025.
Copyright: © 2025 Zhu, Liu and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Zhiwei Hu, Northeast Petroleum University, Daqing, China
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