Detailed quantitative description of fluvial reservoirs: A case study of L6-3 Layer of Sandgroup 6 in the second member of Shahejie Formation, Shengtuo Oilfield, China

Authors

  • Jingzhe Li College of Electromechanics, Qingdao University of Science and Technology, Qingdao 266061, P. R. China
  • Ke Yan Shengli Oil Production Plant, Shengli Oilfield, Dongying 257051, P. R. China
  • Huaiqiang Ren School of Geosciences, China University of Petroleum (East China), Qingdao 266555, P. R. China
  • Zhifeng Sun* College of Electromechanics, Qingdao University of Science and Technology, Qingdao 266061, P. R. China (Email: zhifengsun879@gmail.com)

Keywords:

Quantitative reservoir description, geo-statistics, magnetic random walk model, fluvial facies, reservoir characterization, reservoir modelling

Abstract

The steady development of the oil field is facing severe challenges due to the problems of small-layer division, unclear genesis period and unclear river channel distribution in the 4-6 sand formation in the second district of Shengtuo Oilfield. Based on the processing and optimization of logging data, this paper firstly divided the isochronous strata and established the high-resolution isochronous stratigraphic framework. Using the geo-statistics method in the stratigraphic framework, the sand bodies in each small layer were divided according to the principle of equal time of fluvial facies. On this basis, the distribution pattern of the sand bodies in each stage was simulated by the magnetic random walk model. The magnetic random walk model has obtained robust simulation results, which is consistent with the anatomy of reservoir architectures by experienced geologists. The results also show that the number of channels in each small-layer is different, while the overall distribution of NE direction is reflected. At present, the model can well simulate the position of the main channel line, but it cannot reflect the variation of the river width. The method of quantitative fine description based on logging data has great potential application in fluvial reservoir, especially the magnetic random walk model that can reveal the distribution of sand body in every stage. At the same time, the model can also reflect certain randomness and facilitate the uncertainty analysis of geological factors.

Cited as: Li, J., Yan, K., Ren, H., Sun, Z. Detailed quantitative description of fluvial reservoirs: A case study of L6-3 Layer of Sandgroup 6 in the second member of Shahejie Formation, Shengtuo Oilfield, China. Advances in Geo-Energy Research, 2020, 4(1): 43-53, doi: 10.26804/ager.2020.01.05

References

Blacknell, C. Morphology and surface sedimentary features of point bars in Welsh gravel-bed rivers. Geol. Mag. 1982, 119(2): 181-192.

Colombera, L., Mountney, N.P., Russell, C.E., et al. Geometry and compartmentalization of fluvial meander-belt reservoirs at the bar-form scale: Quantitative insight from outcrop, modern and subsurface analogues. Mar. Pet. Geol. 2017, 82: 35-55.

Donselaar, M.E., Overeem, I. Connectivity of fluvial point-bar deposits: An example from the Miocene Huesca fluvial fan, Ebro Basin, Spain. AAPG Bull. 2008, 92(9): 1109-1129.

Ghinassi, M. Chute channels in the Holocene high-sinuosity river deposits of the Firenze plain, Tuscany, Italy. Sedimentology 2011, 58(3): 618-642.

Jiao, Y., Sitian, L. Geologic modeling for outcrop reservoir of continental basin and the conceptual systems. Experimental Petroleum Geology 1998, 20(4): 38-45.(in Chinese)

Kukulski, R.B., Hubbard, S.M., Moslow, T.F., et al. Basin-scale stratigraphic architecture of upstream fluvial deposits: Jurassic-Cretaceous foredeep, Alberta Basin, Canada. J. Sediment. Res. 2013, 83(8): 704-722.

Li, J., Liu, S., Zhang, J., et al. Architecture and facies model in a non-marine to shallow-marine setting with continuous base-level rise: An example from the Cretaceous Denglouku Formation in the Changling Depression, Songliao Basin, China. Mar. Pet. Geol. 2015, 68: 381-393.

Liang, H., Wu, S., Wa, J., et al. Effects of base-level cycle on mouth bar reservoir micro-heterogeneity: A case study of Es2-9 Formation mouth bar reservoirs in Shengtuo Oilfield. Petroleum Exploration and Development 2013, 40(4): 469-475. (in Chinese)

Lin, B. Shengtuo oilfield fluvial facies reservoir architectural-elements analysis and remaining oil research. Qingdao, China University of Petroleum, 2007. (in Chinese)

Ma, S., Lv, G., Yan, B. Research on three-dimensional heterogeneous model of channel sandbody controlled by architecture. Earth Science Frontiers 2008, 15(1): 57-64. (in Chinese)

Miall, A.D. Reservoir heterogeneities in fluvial sandstones: lessons from outcrop studies. AAPG Bull. 1988, 72(6): 682-697.

Nichols, G.J., Fisher, J.A. Processes, facies and architecture of fluvial distributary system deposits. Sediment. Geol. 2007, 195(1-2): 75-90.

Shi, S., Yin, Y., Feng, W. Fluvial facies 3D modeling based on random walk. Complex Hydrocarbon Reservoirs 2011, 4(3): 38-41. (in Chinese)

Shi, S., Yin, Y., Feng, W. The development and prospect of multiple-point geostatistics modeling. Geophysical and Geochemical Exploration 2012, 36(4): 655-660. (in Chinese)

Sun, Z., Lin, C., Dong, C. Boundary distinction mark of the cmplicated meander belt and stacking mode between point-bar sandbodies within the belt. Acta Sedimentologica Sinica 2018, 36(2): 366-375. (in Chinese)

Sun, Z., Lin, C., Du, D., et al. Application of seismic architecture interpretation in enhancing oil recovery in late development Stage-Taking meandering river reservoir in Dongying depression as an example. J. Pet. Sci. Eng. 2020a, 187: 106769.

Sun, Z., Lin, C., Du, D., et al. Quantitative architectural characteristics of deep-lake turbidites: Taking block 146 of Shinan Oilfield in Dongying Depression in China as an example. Mar. Pet. Geol. 2020b, 112: 104046.

Wang, W., Yin, Y. Research progress and trend of reservoir modelling. J. Geol. 2017, 41(1): 97-102.

Willis, B.J. Palaeochannel reconstructions from point bar deposits: A three-dimensional perspective. Sedimentology 1989, 36(5): 757-766.

Willis, B.J., Tang, H. Three-dimensional connectivity of point-bar deposits. J. Sediment. Res. 2010, 80(5): 440-454.

Wu, S., Li, Y. Reservoir modeling: Current situation and development prospect. Marine Origin Petroleum Geology 2007, 12(3): 53-60. (in Chinese)

Xie, Q., Zhu, X., Guan, S., et al. Depositional characterisytics and models of the modern anastomosing river in China. Acta Sedimentologica Sinica 2003, 21(2): 219-227. (in Chinese)

Yang, T., Cao, Y., Wang, Y., et al. Determining permeability cut-off values for net pay study of a low-permeability clastic reservoir: A case study of the Dongying Sag, eastern China. J. Pet. Sci. Eng. 2019, 178: 262-271.

Yin, Y., Wang, G. A Study on the lateral accretion body type of the meandering river point bar reservoirs. Petroleum Exploration and Development 1998, 25: 37-40.

(in Chinese) Yin, Y., Zhang, C., Shi, S., et al. Modeling on integrating random walk process and multiple-point geostatistics to fluvial reservoirs. Journal of Oil and Gas Technology 2011, 33(8): 44-47+4. (in Chinese)

Yu, X., Li, S., Zhao, S., et al. Constraining method of stochastic modeling for fluvial petroleum reservoir controlled by depositional facies using wells and seismic data. Earth Science Frontiers 2008, 15(4): 33-41. (in Chinese)

Yue, D., Wu, S., Liu, J. An accurate method for anatomizing architecture of subsurface reservoir in point bar of meandering river. Acta Petrolei Sinica 2007, (4): 99-103. (in Chinese)

Zhang, C., Xu, L., Lin, K., et al. Anatomy of distributary channel sand, the No. 68 sandbody of youshashan, Western Qinghai. Acta Sedimentologica Sinica 1996, 14(4): 71-77. (in Chinese)

Zheng, L., Chen, C., Lu, C., et al. Study on facies-controlled model of a reservoir in Xijiang 24-3 oilfield in the Northern Pearl River Mouth Basin. Adv. Geo-Energy Res. 2018, 2(3): 282-291.

Zhu, J., Zou, C., Feng, Y., et al. Distribution and controls of petroliferous plays in subtle traps within a Paleogene lacustrine sequence stratigraphic framework, Dongying Depression, Bohai Bay Basin, Eastern China. Pet. Sci. 2020, 17(1): 1-22.

Downloads

Download data is not yet available.

Downloads

Published

2020-02-28

Issue

Section

Articles