Application of Multi-point Geostatistical Modeling in Fan Delta Sedimentary Model

doi:10.11885/j.issn.1674-5086.2020.07.01.01

Abstract

Abstract: K Oilfield is in the stage of pre-development plan preparation. Due to inadequate drilling data and poor quality of seismic data, there are large uncertainties in the prediction of the spatial distribution of reservoirs. Through analysis of the core, logging, pressure, seismic data, we find out that the reservoir is a fan delta front sediment, with various sedimentary microfacies such as distributary channel, overbank and mouth bar. It is difficult to accurately depict the sedimentary facies model of the K Oilfield using traditional geological modeling methods. By using multi-point geostatistical modeling methods, incorporating training images reflecting geological knowledge, combined with the characteristics of the vertical microfacies combination of drilling and the distribution regularity of reservoirs, the K Oilfield face model is established with multi-dimensional constraints. The simulation results show that the K Oilfield facies model simulated by multi-point geological statistics modeling better represents the distributary channel distribution morphology and the spatial association relationship between sedimentary microfacies, and the geological uncertainty is low, which is more in line with the geological understanding. The research results have a strong guiding significance for the preparation of oilfield development plan, and also has a certain extension significance for similar sedimentary facies modeling.

Key words: multi-point geostatistical, East African Rift, sedimentary model, training image, fan delta

CLC Number:

TE122

LIU Jun, YANG Xipu, Lü Wenrui, XU Wei, LIU Guangwei. Application of Multi-point Geostatistical Modeling in Fan Delta Sedimentary Model[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2022, 44(5): 47-60.

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URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.11885/j.issn.1674-5086.2020.07.01.01

http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2022/V44/I5/47

References

[1] YIN Yanshu, ZHANG Changmin, LI Jiuyong, et al. Progress and prospect of multiple-point geostatistics[J]. Journal of Palaeogeography, 2011, 13(2): 245-252. doi: 10.7605/gdlxb.2011.02.013 尹艳树, 张昌民, 李玖勇, 等. 多点地质统计学研究进展与展望[J]. 古地理学报, 2011, 13(2): 245-252. doi: 10.7605/gdlxb.2011.02.013
[2] ZHOU Jinying, GUI Biwen, LIN Wen. Application of multiple-point geostatistics in offshore reservoir modeling[J]. Journal of Southwest Petroleum University (Science | Technology Edition), 2010, 32(6): 70-74. doi: 10.3863/j.issn.1674-5086.2010.06.014 周金应, 桂碧雯, 林闻. 多点地质统计学在滨海相储层建模中的应用[J]. 西南石油大学学报(自然科学版), 2010, 32(6): 70-74. doi: 10.3863/j.issn.1674-5086.2010.06.014
[3] LIU Ying, JIN Yajie. Radom modeling method and application case study for multiple-point geostatistics[J]. Foreign Oil Field Engineering, 2010, 26(11): 1-5. doi: 10.3969/j.issn.1002-641X.2010.11.001 刘颖, 金亚杰. 多点地质统计学随机建模方法及应用实例分析[J]. 国外油田工程, 2010, 26(11): 1-5. doi: 10.3969/j.issn.1002-641X.2010.11.001
[4] ZHANG Wei, LIN Chengyan, DONG Chunmei. Application of multiple-point geostatistics in geological modeling of D Oilfield in Peru[J]. Journal of China University of Petroleum (Edition of Natural Science), 2008, 32(4): 24-28. doi: 10.3321/j.issn:1673-5005.2008.04.005 张伟, 林承焰, 董春梅. 多点地质统计学在秘鲁D油田地质建模中的应用[J]. 中国石油大学学报(自然科学版), 2008, 32(4): 24-28. doi: 10.3321/j.issn:1673-5005.2008.04.005
[5] YIN Yanshu, WU Shenghe, ZHAI Rui, et al. The forecasting of fluvial facies reservoir distribution by using Simpat[J]. Journal of Southwest Petroleum University (Science | Technology Edition), 2008, 30(2): 19-22. doi: 10.3863/j.issn.1000-2634.2008.02.005 尹艳树, 吴胜和, 翟瑞, 等. 利用Simpat模拟河流相储层分布[J]. 西南石油大学学报(自然科学版), 2008, 30(2): 19-22. doi: 10.3863/j.issn.1000-2634.2008.02.005
[6] YANG Hongwei. Sedimentary microfacies modeling of Kenxi 71 fault block using multi-point geostatistical method[J]. Journal of Oil and Gas Technology, 2010, 32(6): 224-225. 杨宏伟. 利用多点地质统计学方法进行垦西71断块沉积微相建模[J]. 石油天然气学报, 2010, 32(6): 224-225.
[7] FENG Guoqing, CHEN Hao, ZHANG Liehui, et al. Stochastic simulation of lithofacies distribution using multi-point geostatistics[J]. Journal of Xi'an Shiyou University (Natural Science Edition), 2005, 20(5): 21-23. doi: 10.3969/j.issn.1673-064X.2005.05.003 冯国庆, 陈浩, 张烈辉, 等. 利用多点地质统计学方法模拟岩相分布[J]. 西安石油大学学报(自然科学版), 2005, 20(5): 21-23. doi: 10.3969/j.issn.1673-064X.2005.05.003
[8] LUO Yang, ZHAO Yanchao. Application of multiple-point geostatistics in fluvial reservoir stochastic modeling[J]. Geological Science and Technology Information, 2008, 27(3): 68-72. doi: 10.3969/j.issn.1000-7849.2008.03.010 骆杨, 赵彦超. 多点地质统计学在河流相储层建模中的应用[J]. 地质科技情报, 2008, 27(3): 68-72. doi: 10.3969/j.issn.1000-7849.2008.03.010
[9] YIN Yanshu, WU Shenghe, ZHANG Changmin, et al. Multi-point geostatistical method based on reservoir skeleton[J]. Science in China (Series D: Earth Sciences), 2008, 38(S2): 157-164. 尹艳树, 吴胜和, 张昌民, 等. 基于储层骨架的多点地质统计学方法[J]. 中国科学(D辑: 地球科学), 2008, 38(S2): 157-164.
[10] LI Guiliang, WANG Jiahua. Applying multiple-point geostatistics to reservoir modeling: A practical perspective[J]. Foreign Oilfield Engineering, 2009, 25(11): 1-2. doi: 10.3969/j.issn.1002-641X.2009.11.001 李桂亮, 王家华. 多点地质统计学储层建模的实用展望[J]. 国外油田工程, 2009, 25(11): 1-2. doi: 10.3969/j.issn.1002-641X.2009.11.001
[11] FENG Wenjie, WU Shenghe, YIN Senlin, et al. A vector information based multiple-point geostatistic method[J]. Journal of Central South University (Science and Technology), 2014, 45(4): 1261-1268. 冯文杰, 吴胜和, 印森林, 等. 基于矢量信息的多点地质统计学算法[J]. 中南大学学报(自然科学版), 2014, 45(4): 1261-1268.
[12] YANG Xiaoli, FANG Lei, XU Wei, et al. Fan-delta deposition evolution of high pour-point oil reservoir in Albert Rift Basin[J]. Special Oil and Gas Reservoirs, 2016, 23(2): 18-21. doi: 10.3969/j.issn.1006-6535.2016.02.005 杨小丽, 房磊, 徐伟, 等. 裂谷盆地高凝油藏扇三角洲沉积演化模式[J]. 特种油气藏, 2016, 23(2): 18-21. doi: 10.3969/j.issn.1006-6535.2016.02.005
[13] CHEN Qiyu. Three-dimensional stochastic modeling method of geological entities based on multiple-point geostatistics[D]. Wuhan: China University of Geosciences, 2018. 陈麒玉. 基于多点地质统计学的三维地质体随机建模方法研究——以闽江口地区第四纪沉积体系建模为例[D]. 武汉: 中国地质大学, 2018.
[14] WANG Mingchuan, DUAN Taizhong, JI Bingyu. Research progress and application of multipoint statistics geological modeling technology[J]. Journal of Palaeogeography, 2017, 19(3): 557-566. doi: 10.7605/gdlxb.2017.03.043 王鸣川, 段太忠, 计秉玉. 多点统计地质建模技术研究进展与应用[J]. 古地理学报, 2017, 19(3): 557-566. doi: 10.7605/gdlxb.2017.03.043
[15] LI Kang, LI Shaohua, WANG Haoyu, et al. Application of multiple point geostatistics in delta reservoir stochastic modeling[J]. Journal of Chongqing University of Science and Technology (Natural Sciences Edition), 2014, 16(5): 53-55, 63. doi: 10.3969/j.issn.1673-1980.2014.05.015 李康, 李少华, 王浩宇, 等. 多点地质统计学在三角洲相储层建模中的应用[J]. 重庆科技学院学报(自然科学版), 2014, 16(5): 53-55, 63. doi: 10.3969/j.issn.1673-1980.2014.05.015
[16] YIN Yanshu, WANG Jin, WEN Zhigang, et al. Comparison of the reservoir stochastic modeling methods for the underwater distributary channels in shallow water delta[J]. Journal of Southwest Petroleum University (Science | Technology Edition), 2013, 35(3): 47-51. doi: 10.3863/j.issn.1674-5086.2013.03.006 尹艳树, 王进, 文志刚, 等. 浅水三角洲分流河道三维储层建模方法比较[J]. 西南石油大学学报(自然科学版), 2013, 35(3): 47-51. doi: 10.3863/j.issn.1674-5086.2013.03.006
[17] LIN Yu, WU Shenghe, YUE Dali, et al. Fine anatomizing reservoir architecture of fan-delta front: A case study on Dujiatai Reservoir in Shu 2-6-6 Block, Liaohe Oilfield[J]. Natural Gas Geoscience, 2013, 24(2): 335-344. doi: 10.11764/j.issn.1672-1926.2013.02.335 林煜, 吴胜和, 岳大力, 等. 扇三角洲前缘储层构型精细解剖——以辽河油田曙2-6-6区块杜家台油层为例[J]. 天然气地球科学, 2013, 24(2): 335-344. doi: 10.11764/j.issn.1672-1926.2013.02.335
[18] XU Wei, FANG Lei, ZHANG Xinye, et al. Sedimentary forward simulation and application of fan delta in K Oilfield in Uganda[J]. Earth Science, 2019, 44(2): 513-523. doi:10.3799/dqkx.2018.556 徐伟, 房磊, 张新叶, 等. 乌干达K油田扇三角洲沉积正演模拟与应用[J]. 地球科学, 2019, 44(2): 513-523. doi: 10.3799/dqkx.2018.556