Comprehensive Evaluation of Low Permeability Sandstone Reservoir Based on Entropy-Weighting AHM

Abstract:

To be the result of assessment of the low permeability sandstone reservoir more objective, the new method-- entropy-weighting AHM, and six parameters which reflect the macroscopic properties, micro-structural characteristics and Oil-bearing property: Porosity, permeability, oil saturation, saturation in the value of pressure, back efficiency and clay content of mercury, have been selected to divide flow units of Sanjianfang reservoir in Qiuling oilfield. Reservoir flow units of the research area can be divided into I, II, III3-type reservoirs. The research indicated thatI, II, III3-type reservoirs are always located in different faces positions, and its physical property and oil-bearing properties decrease successively; Evaluation results are well consistent with the actual production of gas and oil. The entropy-weighting AHM method offers a new way for the division and evaluation of reservoir, which is a simple mathematic model with easy operation, but without consistency test and be adjusted to determine the matrix ,and the result of evaluation not only embodies the science, without losing the subjectivity . Hence it offers a brand new way for the evaluation of reservoir because of getting a good assessment result for the multifactor and multi-hierarchy complicated problems.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 5071-5076
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.5071
• Online since: September 2014
• Authors: Xue Fei Lu*, Feng Juan Dong
• Keywords: Comprehensive Assessment, Entropy-Weighting AHM, Evaluation Indexes, Reservoir

References

[1] WANG Yong, BAO Zhidong, LIU Hu. Application of Methods in Reservior Evaluation of Low Porosity and Low Permeability[J]. Journal of Southwest Petroleum University, 2007, 29 (5): 8-12.

[2] . ] LV Honghua, REN Mingda, LIU Jincheng, et al. Application of Q-model Principal Factor Analysis and Clustering Method in Evaluation on Sandstone Reservoirs of the Neogene in Huatugou Oilfield, Qaidam Basin[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2006, 42(6): 740-745.

[3] ZHAO Jiafan, CHEN Xiaohong, ZHANG Qin. Application of Grey Association Analysis in Reservoir Evaluation [J]. Progress in Exploration Geophysics, 2003, 26(4): 282-286.

[4] WANG Jiandong, LIU Jiyu, YU Runtao, et al. The appl ication of analytic hierarchy process to reservoir evaluating [J]. Journal of Daqing Pet roleum Institute, 2003, 27(3): 12-14.

[5] WU Chunying, HAN Huiping, JIANG Jihui, et al. Application of Fuzzy Math Method to Reservoir Evaluation—Taking Chang 4+5 Reservior of Yanchang Formation in Baiyushan Area in Ordos Basin as an Example[J]. Journal of Earth Sciences and Environment, 2008, 30(2): 156-160.

[6] LI Wuguang, YANG Shenglai, SHAO Xianjie, et al. Application of Variogram in Reservoir Evaluation and Development: Taking Yangjiaba Oilfield for Example[J]. Geological Science and Technology Information, 2011, 30(4): 83-87.

[7] YIN Taiju, ZHANG Changmin, ZHANG Shangfeng, et al. Reservoir Evaluation Based on Flow Units and Forecast of Remaining Oil[J]. Scichina Series D: Earth, 2008, 38(supplementⅡ): 110-116.

[8] CHENG Qiansheng. Attribute Hierarchical Model—A New Method of Unstructured Decision Making [J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 1998, 34(l) : 10-14.

[9] XIE Wei, SUN Wei, WANG Guohong. Parameter Selection of Oil and GasReservoir in Flow Unit Division [J]. Journal of Northwest University(Natural Science Edition), 2008, 38(2)：282～285.

[10] DONG Fengjuan, SUN Wei, HU Xujun, et al. The Application of Grey Analytic Hierarchy Process to Divise Flow Units [J]. Journal of Jilin University( Earth Science Edition), 2010, 40(6)：1255-1261.