Application of multiple-point geostatistics in 3D internal architecture modeling of point bar

被引：0
|
作者：
Liu K. [1 ,2 ]
Hou J. [1 ]
Liu Y. [1 ]
Shi Y. [1 ]
Liu L. [1 ,3 ]
Tang L. [1 ,4 ]
Gao X. [5 ]
Zhou X. [5 ]
机构：
[1] College of Geosciences, China University of Petroleum (Beijing), Beijing
[2] Wireline Logging Company of Great Wall Drilling Company, PetroChina, Panjin, 124011, Liaoning
[3] Geology Research Institute of Great Wall Drilling Company, PetroChina, Panjin, 124010, Liaoning
[4] Exploration and Development Research Institute of Huabei Oilfield Company, PetroChina, Renqiu, 062552, Hebei
[5] Research Institute of Petroleum Exploration & Development, PetroChina, Beijing
来源：
Hou, Jiagen (houjg63@yahoo.com.cn) | 1600年 / Editorial Department of Oil and Gas Geology卷 / 37期
关键词：
3D spinning cube; Dense well-pattern; Multiple-point geostatistics; Point bar; Remaining oil residual; Training image;
D O I：
10.11743/ogg20160415
中图分类号：
学科分类号：
摘要：
For the first time, an application of Multiple-point geostatistics in 3D internal architecture modeling of point bar is proposed in this paper. Data from dense well patterns (well spacing of 60 m) offer us the statistical distribution characteristics of interbeds within the point bar. Training images are produced by interactive processing of the statistical results for quantitative characterization of the interbeds, such as their thickness, dip, frequency, density and horizontal spacing. A typical point bar is first choosed for vertically projecting the interbeds interpreted from single well data to its top surface along the surfaces of interbeds, and then a 3D spinning cube is calculated in combination with the depositional patterns of the point bar for strike characterization of the interbeds. The Snesim algorithm is used for 3D architectural modeling of lateral accretion, and the results are compared with those from sequential indicator simulation (SIS). It is concluded that SIS may represent the characteristics of interbeds, but it is inadequate to characterize their continuity. Besides, a lack of constraints from training images forbids satisfactory quantitative characterization. In contrast, the model based on Snesim is under the dual control of training images and 3D spinning cube, thus it can quantitatively characterize the distribution, geometry and spatial structure of the interbeds. The data of watered-out reservoirs reveal that the architecture model built with multiple-point geostatistics method can guide the mapping of remaining oil. © 2016, Editorial Office of Oil and Gas Geology. All right reserved.
引用
收藏
页码：577 / 583
页数：6
相关论文
共 35 条
  • [1] Zou T., Zuo Y., Meng L., Et al., Application of geological modeling technology in secondary development of old and complex fault block oilfields, Oil & Gas Geology, 35, 1, pp. 143-147, (2014)
  • [2] Miall A.D., The geology of fluvial deposits, The Geology of Fluvial Deposits, (1996)
  • [3] Wang X., Zhong J., Xue Z., Et al., Sedimentary model of Guan (1+2) sand sets and its control over distribution of remaining oil in Gudao Oilfield, Journal of the University of Petroleum, China, 28, 6, pp. 16-20, (2004)
  • [4] Min X., Chen K., Fan T., Heterogeneity characterization of fluvial facies reservoirs through integration of seismic and logging data, Oil & Gas Geology, 32, 3, pp. 375-381, (2011)
  • [5] Fan Z., Wu S., Yue D., Et al., Embedding modeling method for internal architecture of point bar sand body in meandering river reservoir, Journal of China University of Petroleum, 36, 3, pp. 1-6, (2012)
  • [6] Strebelle S., Conditional simulation of complex geological structures using multiple-point statistics, Mathematical Geology, 34, 1, pp. 1-21, (2002)
  • [7] Wu S., Li W., Multiple-point geostatistics: theory, application and perspective, Journal of Palaeogeography, 7, 1, pp. 137-144, (2005)
  • [8] Yin Y., Zhang C., Li J., Et al., Progress and prospect of multiple-point geostatistics, Journal of Palaeogeography, 13, 2, pp. 245-252, (2011)
  • [9] Strebelle S., Zhang T., Non-stationary multiple-point geostatistical models, Geostatistics Banff 2004, pp. 235-244, (2005)
  • [10] Wu J., Zhang T., Boucher A., Non-stationary multiple-point geostatistical simulations with region concept, Proceedings of the 20th SCRF Meeting, (2007)
1234