Comprehensive seismic reservoir prediction of M02 member in B Oilfield in Kazakhstan
LIU Jia-Cai1(), ZHANG Chong2, HAN Xu-Jun1
1. Chengdu North Petroleum Exploration and Development Technology Co.,Ltd.,Chengdu 610051,China 2. College of Geophysics and Petroleum Resources,Yangtze University,Wuhan 430100,China
M02 member of Upper Dual Formation of Lower Cretaceous in B Oilfield in Kazakhstan belongs to braided fluvial deposits.The reservoirs are mainly gravel-bearing sandstone and fine sandstone.Sand bodies change rapidly in both vertical and horizontal directions.Uncertainty of reservoir distribution laws seriously restricts the progressive exploration and development process of the oilfield.Based on a new round of fine structure interpretation,the comprehensive application of a series of reservoir prediction techniques such as fine synthetic seismogram calibration,seismic forward modeling,seismic attribute analysis,conventional seismic inversion and geostatistical inversion was successfully implemented,which eliminated the multi-solution of seismic attribute analysis,made clear sand reservoir macroscopic distribution laws,and finely depicted the distribution characteristics of thin sand bodies in M02 breaking through the limitation of conventional seismic resolution.Finally,a comprehensive technological sequence of seismic reservoir prediction techniques suitable for this oilfield was established.Successful application of this technology sequence in this region provides a powerful basis for rolling evaluation and water injection development and has made a great contribution to increasing reserves and production of the oilfield.Meanwhile,it has reference and guidance significance for reservoir prediction in similar blocks.
刘家材, 张冲, 韩绪军. 哈萨克斯坦B油田M02段综合地震储层预测[J]. 物探与化探, 2021, 45(2): 379-386.
LIU Jia-Cai, ZHANG Chong, HAN Xu-Jun. Comprehensive seismic reservoir prediction of M02 member in B Oilfield in Kazakhstan. Geophysical and Geochemical Exploration, 2021, 45(2): 379-386.
Liao B F, Zhang W M, Li L, et al. Study on modern deposit of a braided stream and facies model: taking the Yongding river as an example[J]. Acta Sedimentologica Sinica, 1998,16(1):34-39.
Mao P. The status and prospects of research on characterization for sandy braided-river reservoir architecture[J]. Xinjiang Petroleum Geology, 2018,39(4):492-498.
Li S M, Song X M, Jiang Y W, et al. Architecture and remaining oil distribution of the sandy braided river reservoir in the Gaoshangpu Oilfield[J]. Petroleum Exploration and Development, 2011,38(4):474-482.
Yu X H, Ma X X, Mu L X, et al. Analysis of braided river reservoir geological model and hierarchy interface[M]. Beijing: Petroleum Industry Press, 2004: 56-58.
Ge Y L, Lu J T, Liao B F, et al. A braided river reservoir geological model:"pan communicated sandbody"[J]. Petroleum Exploration and Development, 1998,25(5):77-79.
Li H Y, Gao Y, Wang Y J, et al. Intercalation pattern and its impact on development of braided river reservoirs:A case of Fengcheng Oilfield[J]. Petroleum Exploration and Development, 2015,42(3):364-373.
Liu Y M, Hou J G, Song B Q, et al. Characterization of interlayers within braided river thick sandstones:A case study on the Lamadian Oilfield in Daqing[J]. Acta Petrolei Sinica, 2011,32(5):836-841.
Wang H, Hu G Y, Fan H J, et al. Key technologies for the fluvial reservoir characterization of marginal oilfields[J]. Petroleum Exploration and Development, 2012,39(5):626-631.
Liu J L, Zhang J N. Geological modeling and seismic forward response characteristics analysis of single channel sand body boundary in Jiyang prospecting area[J]. Geophysical Prospecting for Petroleum, 2010,49(4):344-350.
Bi J F, Gu H M, Liu S H, et al. Analysis on seismic response characteristics of channel sands and its influence factors: case study of Upper Guantao Formation in KD1 area[J]. Geophysical Prospecting for Petroleum, 2013,52(1):97-103.
Liu X Y, Li M H, Ye T R. Fine characterization of complicated channels in western Sichuan and identification of sedimentary facies[J]. Geophysical Prospecting for Petroleum, 2019,58(5):750-757.
Ma Y H, Wu S Y, Bai Y H, et al. River sedimentary microfacies prediction based on spectral decomposition[J]. Oil Geophysical Prospecting, 2015,50(3):502-509.
doi: 10.13810/j.cnki.issn.1000-7210.2015.03.017
Qin X F, Qi R, Li W, et al. Braided channel architecture analysis and semi-quantitative seismic prediction for channel bars in P1x1 of the Hangjinqi area[J]. Geophysical Prospecting for Petroleum, 2019,58(4):572-579.
Zhao Z H, Li L, Ma Y H, et al. Braided river sedimentary reservoir prediction: an example of Kongdian oilfield in Dagang[J]. Oil Geophysical Prospecting, 2017,52(1):152-159.
Gao G, Zhao Y H, Huang L G, et al. Braided-river channel sand characterization based on waveform analysis: an example in Well Su X Area,Ordos Basin[J]. Oil Geophysical Prospecting, 2018,53(s2):301-305.
Guo C X, Guo S W, Zhu W F, et al. Research and application of fluvial sand-shale thin interbedding prediction method[J]. Geophysical and Geochemical Exploration, 2018,42(3):594-599.
Huang W S, Chen H P, Li S L, et al. Quantification of braided-river lithofacies units and sandbody based on horizontal well data:a case of MPE3 block in Orinoco heavy-oil zone,Venezuela[J]. Oil & Gas Geology, 2018,39(2):409-418.
Shen C Y, Yan X H. Relationship between the resolution of well log constrained seismic inversion and seismic resolution[J]. Geophysical Prospecting for Petroleum, 1999,38(4):96-106.
[23]
李庆忠. 论地震约束反演的策略[J]. 石油地球物理勘探, 1998,33(4):423-438.
[23]
Li Q Z. On strategy of seismic restricted inversion[J]. Geophysical Prospecting for Petroleum, 1998,33(4):423-438.
[24]
李庆忠. 走向精确勘探的道路[M]. 北京: 石油工业出版社, 1993: 121-133.
[24]
Li Q Z. The way to precise exploration[M]. Beijing: Petroleum Industry Press, 1993: 121-133.
[25]
杨云岭. 地质模式在地震解释中的重要作用[J]. 油气地球物理, 2003,1(1):4-7.
[25]
Yang Y L. The important role of geological model in seismic interpretation[J]. Petroleum Geophysics, 2003,1(1):4-7.
Hou B G, Han D K, Liu W L, et al. Analysis on the influence of variogram and well number on the precision of seismic stochastic inversion[J]. Geophysical Prospecting for Petroleum, 2016,55(5):754-763.
Zhang X L, Jiang Y, Hao L Y, et al. Stochastic seismic inversion and channel sandbody prediction in dense well pattern areas[J]. Oil Geophysical Prospecting, 2014,49(5):954-963.