The conventional method of classifying and
evaluating reservoir based on structural features of microscopic pore has
limitation. In order to realize quantitative classification and evaluation of
complicated reservoir by fractal theory, the paper used mercury penetration
materials to calculate fractal dimension of reservoir’s pore structure, and gathered
statistics to analyze the relation between fractal dimension and microscopic
pore structure parameter, highlighted geological significance of fractal
dimension, believing that fractal dimension of reservoir’s pore structure
comprehensively and qualitatively characterizes complication degree of
reservoir’ pore structure. The smaller the fractal dimension is, the weaker the
reservoir’s microscopic heterogeneity is and the better the reservoir’s quality
is. Based on this, fractal dimension is applied to classify and evaluate
pore-type bioclastic limestone reservoir, and it shows that the reservoir is
clearly partitioned. Besides, the reservoir is divided quantitatively into high
quality reservoir, good reservoir, bad reservoir, worse reservoir and invalid
reservoir according to size of fractal dimension, thereby realizing
quantitative classification and evaluation of complicated reservoir.
Cite this paper
Sun, X. (2016). Classification and Evaluation of Porous Bioclastic Limestone Reservoir Based on Fractal Theory. Open Access Library Journal, 3, e3026. doi: http://dx.doi.org/10.4236/oalib.1103026.
Meng, Q.F.
and
Hou, G.T. (2011) Layer
Thickness Controls on Surface Density and Fractal Dimension of Structural
Fractures in Carbonate Strata. Geology
Journal of the China Universities, 17, 462-468.
Zuo, J.,
Xu, W.Y.
and
Wang, H.L. (2014) Fractal
Analysis of SEM Image for Rocks. Journal
of China Three Gorges University (Natural Science), 36, 72-83.
Perez, G. and Chopra, A.K. (1997) Evaluation
of Fractal Models to Describe Reservoir Heterogeneity and Performance. SPE Formation Evaluation, 12, 65-72. http://dx.doi.org/10.2118/22694-PA
Zhang, X.G.,
Zhang, T.
and
Lin, C.Y. (2013) Pore
Structure Evaluation of Low Permeability Reservoir Based on Pore Fractal
Features. Lithologic Reservoirs, 25, 40-45.
Xia, W.F., Xia, Z.Y.
and
Wang, Z.Q. (2015) Fractal
Fecture about the Pore-Structure and Its Evaluation of E2-3Z3 Reservoir in
Huomatu Anticlinal Zone of Zungaer Basin. Science
Technology and Engineering, 15, 107-113.
Li, H.Y.
and Xu, Z.Y. (2009) Micro
Pore Structure and Classification Evaluation of Low Permeability Reservoirs in
the New Oil Field. Petroleum Geology and
Recovery Efficiency, 16, 17-21.
Ehrburger-Dolle, F.,
Lavanchy, A.
and
Stoeckli, F.
(1994) Determination
of the Surface Fractal Dimension of Active Carbons by Mercury Porosimetry. Journal of Colloid & Interface Science, 166, 451-461. http://dx.doi.org/10.1006/jcis.1994.1317
He, W., Zhong, F.Y.
and He, C.Z. (2000) Fractal
Texture Reservoir on the Pores in Reservoir Rocks and Its Application. Natural Gas Industry, 20, 67-70.
Liu, Y.K.,
Wang, Y.P.
and
Tang, H.M. (2014) Application
of Capillary Pressure Curves and Fractal Theory to Reservoir Classification. Lithologic Reservoirs, 26, 89-94.
Ma, X.F.,
Zhang, S.C.
and
Lang, Z.X. (2004) Calculation
of Fractal Dimension of Pore Structure by Using Subsection Regression Method. Journal of the University of Petroleum, China, 28, 54-60.
Bai, R.T.,
Li, Z.P.
and
Nan, J.X. (2016) The
Fractal Permeability Model in Tight Sand Reservoir Accounts for Start-Up Gradient. Natural Gas Geoscience, 27, 142-148.
Zhang, T.,
Xu, S.Y.
and
Yang, K. (2010) Application
of Fractal Dimension of Micro Pore Structure of Reservoir. Journal of Daqing Petroleum Institute, 34, 44-47.
Shen, J.S.
and
Zhang, H.K. (2008) Study
on the Heterogeneity of the Pore Structure of Chang 6 Reservoir in ZJ Oilfield,
Erdos Basin Using Fractal Theory. Journal
of Xi’an Shiyou University (Natural Science Edition), 23,
19-23.
Dou, W.C.,
Liu, L.F.
and Wu, K.J. (2016) Pore
Structure Characteristics and Its Effect on Permeability by Mercury Injection
Measurement: An Example from Triassic Chang-7 Reservoir, Southwest Ordos Basin. Geological Review, 62, 502-511.
