Volume 9, Issue 2, April 2020, Pages: 61-64
Received: Nov. 14, 2019;
Accepted: Jan. 7, 2020;
Published: Mar. 6, 2020
Views 229 Downloads 113
Wen Yelong, Hainan Brahnch of Ankehongke Ltd, Haikou, China
The lack of drilling data is a difficult problem in the study of reservoir configuration under the condition of sparse well pattern. In this paper, the seismic data are fully excavated, and the methods of frequency RGB fusion, small scale river sand attribute fusion and horizontal well data combination are used to study the river level, the level point bar level, and the internal configuration of point bar. The frequency division RGB fusion method has a good effect on the characterization of large-scale channel reservoirs, especially the channel stacking period and channel boundary response. The integrated attributes of river channel and sand body distribution method has a good effect on depicting the small-scale end river channel and abandoned river channel, and on this basis, the research on point bar sand body is consistent with the actual drilling. The high-precision edge detection section and RGB fusion section are superimposed to display the development of lateral volume, and verify with the actual horizontal well. River facies reservoirs of different scales have been verified by drilling with targeted research techniques. The results show that under the condition of sparse well pattern, well-seismic combination is the key to the division of small-scale sedimentary units, multi-attribute fusion under high-resolution seismic data is an important means to identify and depict point bar and abandoned river channels, and the application of horizontal well data is a supplementary means to test results and depict lateral accumulation. The research results have achieved good application results in guiding the actual production of oil field.
Research Methods of Different Levels of Reservoirs Based on Seismic Data, Earth Sciences.
Vol. 9, No. 2,
2020, pp. 61-64.
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Wang Zhijun, Huang Junbin. Identificaton of micro-fault and sand body by using coherence technique and 3-D visualization [J]. OGP, 2001, 36 (3): 378-381.
Zhou L M, He S M, Zhao Y W, et al. Single channel identification in a meandering river with compound channels [J]. OGP, 2019, 54 (1): 175-181.
Sun X P, Zhou C. Small –scale edge characteristic seismic detection technique [J]. OGP, 2011, 46 (1): 121-125.
Ma J G, Hou D M, Shi H, et al. Small scale river identification based on seismic attributes [J]. Complex Hydrocarbon Reservoirs, 2016, 9 (4): 22-25.
Wang Shi-rui, Wang shu-ping, Di Bang-rang, et al. Prediction of channel sand body based on seismic attributes [J]. OGP, 2009, 44 (3): 304-313.
Sun Xi-ping, Du Shi-tong and Tang Lei. Coherent-enhancing anisotropic diffusion filtering technique [J]. OGP, 2004, 39 (6): 651-655.
Zhang mingxue, Lei jiangping, Liu weiwei, et al. Application of 90° Phase Conversion and Waveform Classification Techniques in the Northwest of Beier Reservoir Prediction [J]. Science Technology and Engineering, 2010, 10 (18): 4376-4380.
Yuan Zhi yun, Kong Ling hong, Wang Chen lin. Application of spectrum decomposition in reservoir prediction [J]. Oil Geophysical Prospecting, 2006, 41 (Supplement): 11-115.
Lu zongqi, Liang cheng. Edge Thinning Based on Sobel Operator [J]. JOURNAL OF IMAGE AND GRAPHICS, 2000, 5 (6): 516-520.
Leeder MR. Fluvial fining-up wards cycles and the magnitude of paleochannels [J]. Geology Magazine, 1973, 110 (3): 265-276.
Li yupeng, Wu shenghe, Yue dali. Quantitative relation of the channel width and point-bar length of modern meandering river [J]. Petroleum Geology & Oilfield Development in Daqing, 2008, 27 (6): 19-22.
Liu Hui, Wang Haiyan, Wang Li, et al. Seismic multi-attribute analysis for the Southern Lixian Slope [J]. OGP, 2017, 52 (Supplement): 104-109.
Xu Hongxia, Shen Chunguang, Li Bin and Dong Wenxue. Fault-karst carbonate reservoir prediction with comprehensive multi-attribute analysis [J]. OGP, 2017, 52 (Supplement 2): 158-163.
Wang Dongna, Hao Jie, Li Jun, and Sun Ming [J]. Oil Geophysical Prospecting, 2018, 53 (Supplement 1): 158-163.
Zhou Lianmin, He Shumei, Zhao Yuwen, et al. Single channel identification in a meandering river with compound channels [J]. OGP, 2019, 54 (1): 175-181.