About This Item
- Full TextFull Text(subscription required)
- Pay-Per-View PurchasePay-Per-View
Purchase Options Explain
Share This Item
The AAPG/Datapages Combined Publications Database
AAPG Bulletin
Abstract
AAPG Bulletin, V.
DOI: 10.1306/02251917173
Pore
structure and fractal characteristics of Ordovician Majiagou carbonate reservoirs in Ordos Basin, China


Jin Lai,1 Song Wang,2 Guiwen Wang,3 Yujiang Shi,4 Taiping Zhao,5 Xiaojiao Pang,6 Xuechun Fan,7 Ziqiang Qin,8 and Xuqiang Fan9
1State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing, China; College of Geosciences, China University of Petroleum (Beijing), Beijing, China; sisylaijin@163.com
2State Key Laboratory of Petroleum Resources and Prospecting, College of Geosciences, China University of Petroleum (Beijing), Changping, Beijing, China; 603642162@qq.com
3State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Changping, Beijing, China; wanggw@cup.edu.cn
4Research Institute of Exploration and Development, Changqing Oilfield Company PetroChina, Xi’an, Shaanxi, China; syj_cq@petrochina.com.cn
5Research Institute of Exploration and Development, Changqing Oilfield Company PetroChina, Xi’an, Shaanxi, China; zhaotp_cq@petrochina.com.cn
6College of Geosciences, China University of Petroleum (Beijing), State Key Laboratory of Petroleum Resources and Prospecting, Changping, Beijing, China; 1107503425@qq.com
7College of Geosciences, China University of Petroleum (Beijing), State Key Laboratory of Petroleum Resources and Prospecting, Changping, Beijing, China; 2660318093@qq.com
8Department of Petroleum Engineering, University of Wyoming, Laramie, Wyoming; zqin@uwyo.edu
9College of Geosciences, China University of Petroleum (Beijing), Changping, Beijing, China; fanxuqiang00@163.com
ABSTRACT
Fractal analysis was performed on carbonate core plug samples from the Ordovician Majiagou carbonate reservoirs in the Ordos Basin using mercury intrusion capillary pressure (MICP), nuclear magnetic resonance (NMR), and the x-ray computed tomography (CT) measurements to improve our understanding of the pore
structure characteristics. The relationships between
pore
structure parameters and the fractal dimensions were investigated. The
pore
systems
are dominated by secondary intercrystalline pores and enlarged dissolution pores as well as microfractures. The fractal curves from MICP analysis break into two segments at the Swanson’s parameter. The small
pore
-throat
systems
can be described by the fractal theory, whereas pores connected by relatively large throats (greater than the
pore
-throat radius at the Pittman’s hyperbola’s apex) are not cylindrical in shape, cannot be described by a capillary tube model, and tend to have apparent fractal dimensions larger than 3.0. The fact that the entirety of the capillary curve cannot be fit by a single fractal dimension implies that there are multiple
pore
systems
present with different fractal dimensions. The CT analysis shows that the pores are dispersed in the three-dimensional spaces mainly with elliptical shapes. The NMR measurements are sensitive to
pore
-body size and MICP probes
pore
-throat dimensions, the latter being complementary to the
pore
-body–size distribution. None of the CT, MICP, and NMR techniques provide “right” or “wrong” answers to the
pore
-throat
systems
, but they probe different aspects of the
pore
systems
. This study assumes the
pore
shapes to be spherical in general, and then the fractal dimension is calculated from the NMR transverse relaxation time (T2) spectrum. The fractal dimensions of all the samples are calculated, and the accuracy of the fractal model is verified by the high regression coefficients. Almost all the
pore
systems
can be described by fractal theory, and the fractal dimensions are strongly correlated with the T2 values separating the immovable fluid and the free fluid. Microfractures may bias T2 toward larger values, making it hard to derive fractal dimensions from NMR measurements. The coexistence of small pores (
pore
radius < 10 μm) and large pores (>50 μm) results in a heterogeneous
pore
distribution and a high fractal dimension. Reservoir quality increases with the complexity degree of the microscopic
pore
structure. Conversely, samples that are dominated by small
pore
systems
tend to have a lower fractal dimension and a less complex
pore
structure.
Pay-Per-View Purchase Options
The article is available through a document delivery service. Explain these Purchase Options.
Watermarked PDF Document: $14 | |
Open PDF Document: $24 |
AAPG Member?
Please login with your Member username and password.
Members of AAPG receive access to the full AAPG Bulletin Archives as part of their membership. For more information, contact the AAPG Membership Department at members@aapg.org.