Stress-Induced Fracturing of Reservoir Rocks: Acoustic Monitoring and μCT Image Analysis
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- 作者：Srutarshi Pradhan ; Anna M. Stroisz ; Erling Fj?r…
- 关键词：Rock ; fracturing ; Acoustic emissions ; Event statistics ; Micro ; CT imaging ; Image reconstruction ; Radial strain evolution ; Fracture pattern
- 刊名：Rock Mechanics and Rock Engineering
- 出版年：2015
- 出版时间：November 2015
- 年：2015
- 卷：48
- 期：6
- 页码：2529-2540
- 全文大小：7,155 KB
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Zang A, Wagner CF, Stanchits S, Janssen C, Dresen G (2000) Fracture process zone in granite. J Geophys Res 105:23651CrossRef - 作者单位：Srutarshi Pradhan (1)
Anna M. Stroisz (1)
Erling Fj?r (1) (2)
J?rn F. Stenebr?ten (1)
Hans K. Lund (1)
Eyvind F. S?nsteb? (1)
1. SINTEF Petroleum Research, Trondheim, Norway
2. Norwegian University of Science and Technology, Trondheim, Norway - 刊物类别：Earth and Environmental Science
- 刊物主题：Earth sciences
Geophysics and Geodesy
Civil Engineering - 出版者：Springer Wien
- ISSN：1434-453X
文摘
Stress-induced fracturing in reservoir rocks is an important issue for the petroleum industry. While productivity can be enhanced by a controlled fracturing operation, it can trigger borehole instability problems by reactivating existing fractures/faults in a reservoir. However, safe fracturing can improve the quality of operations during CO2 storage, geothermal installation and gas production at and from the reservoir rocks. Therefore, understanding the fracturing behavior of different types of reservoir rocks is a basic need for planning field operations toward these activities. In our study, stress-induced fracturing of rock samples has been monitored by acoustic emission (AE) and post-experiment computer tomography (CT) scans. We have used hollow cylinder cores of sandstones and chalks, which are representatives of reservoir rocks. The fracture-triggering stress has been measured for different rocks and compared with theoretical estimates. The population of AE events shows the location of main fracture arms which is in a good agreement with post-test CT image analysis, and the fracture patterns inside the samples are visualized through 3D image reconstructions. The amplitudes and energies of acoustic events clearly indicate initiation and propagation of the main fractures. Time evolution of the radial strain measured in the fracturing tests will later be compared to model predictions of fracture size. Keywords Rock-fracturing Acoustic emissions Event statistics Micro-CT imaging Image reconstruction Radial strain evolution Fracture pattern