相控地质统计学去硅质反演方法在四川盆地高石梯-磨溪区块灯四段的应用Application of facies-controlled geostatistical desiliconized inversion method for the fourth member of Dengying Formation in Gaoshiti-Moxi block in Sichuan Basin
朱正平,周自强,潘仁芳,罗文军,翁雪波
ZHU Zhengping,ZHOU Ziqiang,PAN Renfang,LUO Wenjun,WENG Xuebo
摘要(Abstract):
四川盆地高石梯-磨溪区块震旦系灯影组灯四段因储层埋藏深、厚度薄及硅质层的发育,导致常规反演方法精度低,多解性强。因此提出了一种基于相控地质统计学的去硅质的反演方法:首先结合测井曲线及岩石物理分析来明确各岩性段波阻抗特征;其次将储层波阻抗替换为硅质+基质波阻抗来重构新的波阻抗趋势(Pimp_Trend),并通过统计分析明确Pimp_Trend与样本井硅质含量曲线的共性结构,构建硅质波阻抗初始模型;最后将此模型作为约束条件参与地质统计学反演,求出与反演背景波阻抗相耦合的储层波阻抗,达到“去硅质”储层预测的目的。结果表明:相控地质统计学反演方法成功剔除了硅质层对于储层预测的干扰,凸显出储层波阻抗特征,即通过低波阻抗表征储层;与常规反演相比,相控地质统计学反演方法降低了反演结果的多解性,提高了储层识别精度。研究成果为研究区油气资源的利用与开发提供有力的技术支撑。
The fourth member reservoir of Sinian Dengying Formation in Gaoshiti-Moxi block of Sichuan Basin has low accuracy and multi-solution by conventional inversion methods due to deep burial, small thickness and siliceous layers development. Therefore, a desilication inversion method based on phase-controlled geostatistics is proposed. Firstly, the wave impedance characteristics of different lithologic sections are determined by combining well logs and petrophysical analysis. Secondly, reservoir wave impedance is replaced by silicon+matrix wave impedance to reconstruct new impedance trend(Pimp_Trend), and the common structure of Pimp_Trend and silicon content curve of sample wells is clarified via statistical analysis, building the initial model of silicon wave impedance. Finally, the model is used as constraint in geostatistical inversion to obtain reservoir wave impedance coupled with inversion background, realizing the purpose of “desiliconized” reservoir prediction. The results show that phase-controlled geostatistics inversion method successfully removes the interference of siliceous layers to reservoir prediction, and highlights reservoir wave impedance characteristics, i.e, characterizing reservoirs via low wave impedance. Compared with conventional inversion, this method reduces multi-solution of inversion results and improves reservoir identification accuracy. The research provides technical support for utilization and development of oil and gas resources in studied area.
关键词(KeyWords):
相控约束;硅质层;地质统计学反演;灯四段;储层预测
facies-controlled constraint;siliceous layer;geostatistics inversion;fourth member of Dengying Formation;reservoir prediction
基金项目(Foundation): 国家科技重大专项“致密储层地震属性解析预测技术研究”(2016ZX05047-002-003)
作者(Author):
朱正平,周自强,潘仁芳,罗文军,翁雪波
ZHU Zhengping,ZHOU Ziqiang,PAN Renfang,LUO Wenjun,WENG Xuebo
DOI: 10.19597/J.ISSN.1000-3754.202306005
参考文献(References):
- [1]樊中海,胡渤,宋吉杰,等.地震反演储层描述精度影响因素分析[J].石油地球物理勘探,2022,57(2):441-451,248.FAN Zhonghai,HU Bo,SONG Jijie,et al. Analysis of influencing factors in reservoir description accuracy by seismic inversion[J].Oil Geophysical Prospecting,2022,57(2):441-451,248.
- [2]王宁,周辉,王玲谦,等.数据驱动的块排列正则化多道叠前地震反演[J].地球物理学报,2022,65(7):2681-2692.WANG Ning,ZHOU Hui,WANG Lingqian,et al. Data-driven multichannel pre-stack seismic inversion via patch-ordering regularization[J]. Chinese Journal of Geophysics,2022,65(7):2681-2692.
- [3]贾凌霄,王彦春,菅笑飞,等.叠后地震反演面临的问题与进展[J].地球物理学进展,2016,31(5):2108-2115.JIA Lingxiao,WANG Yanchun,JIAN Xiaofei,et al. Problems and progress in post-stack seismic inversion[J]. Progress in Geophysics,2016,31(5):2108-2115.
- [4]张雨强,文晓涛,吴昊,等.基于Lp拟范数稀疏约束和交替方向乘子算法的波阻抗反演[J].石油物探,2022,61(5):856-864.ZHANG Yuqiang, WEN Xiaotao, WU Hao, et al. Seismic acoustic impedance inversion using Lp quasi-norm sparse constraint and alternating direction multiplier algorithm[J]. Geophysical Prospecting for Petroleum,2022,61(5):856-864.
- [5]宋增强.叠后地震反演技术预测河道砂体[J].大庆石油地质与开发,2018,37(4):151-156.SONG Zengqiang. Prediction of the channel sandbody by poststack seismic invertion technique[J]. Petroleum Geology&Oilfield Development in Daqing,2018,37(4):151-156.
- [6]张丰麒,刘俊州,刘兰锋,等.确定性反演协同约束的叠后随机地震反演方法[J].石油地球物理勘探,2021,56(5):1137-1149,930-931.ZHANG Fengqi,LIU Junzhou,LIU Lanfeng,et al. The methodology of a post-stack stochastic seismic inversion with the co-constraint of deterministic inversion[J]. Oil Geophysical Prospecting,2021,56(5):1137-1149,930-931.
- [7]王江,王雪峰,付尤中,等.基于小波边缘分析与井-震联合建模的波阻抗反演技术在乌尔逊断陷储层预测中的应用[J].大庆石油地质与开发,2023,42(2):133-142.WANG Jiang,WANG Xuefeng,FU Youzhong,et al. Application of wave impedance inversion technology based on wavelet edge analysis and well-seismic joint modeling in reservoir prediction of Wuerxun rift[J]. Petroleum Geology&Oilfield Development in Daqing,2023,42(2):133-142.
- [8]石楠,刘源,冷玥,等.基于低频模型优化的相控地质统计学反演方法及应用[J].新疆石油地质,2023,44(3):375-382.SHI Nan,LIU Yuan,LENG Yue,et al. Facies-controlled geostatistical inversion method based on low-frequency model optimization and its application[J]. Xinjiang Petroleum Geology,2023,44(3):375-382.
- [9]段新意,李尧,郭军,等.相控地质统计学反演方法及其在油田开发中的应用[J].断块油气田,2021, 28(5):683-690.DUAN Xinyi,LI Yao,GUO Jun,et al. The facies-control geostatistical inversion method and its application in development stage of oil field[J]. Fault-Block Oil&Gas Field,2021,28(5):683-690.
- [10]徐伟,周家雄,马光克,等.基于含砂率的相控地质统计学反演储层预测技术研究[J].地球物理学进展,2021,36(2):817-825.XU Wei, ZHOU Jiaxiong, MA Guangke, et al. Reservoir prediction technology research of facies-controlled geostatistical inversion based on sand content rate[J]. Progress in Geophysics,2021,36(2):817-825.
- [11]史今雄,赵向原,潘仁芳,等.川中地区震旦系灯影组碳酸盐岩天然裂缝特征及其对气井产能影响[J].石油与天然气地质,2023,44(2):393-405.SHI Jinxiong,ZHAO Xiangyuan,PAN Renfang,et al. Characteristics of natural fractures in carbonate reservoirs and their impacts on well productivity in the Sinian Dengying Formation,central Sichuan Basin[J]. Oil&Gas Geology,2023,44(2):393-405.
- [12]李海英,陈俊安,龚伟,等.基于多属性融合叠前反演预测超深层断控储集体物性和流体性质[J].石油物探,2022,61(3):543-555.LI Haiying, CHEN Jun’an, GONG Wei, et al. Prediction of physical and fluid properties of ultra deep fault controlled reservoirs based on multi attribute fusion prestack inversion[J].Geophysical Prospecting for Petroleum,2022,61(3):543-555.
- [13]何火华,李少华,杜家元,等.利用地质统计学反演进行薄砂体储层预测[J].物探与化探,2011,35(6):804-808.HE Huohua,LI Shaohua,DU Jiayuan,et al. The application of geostatistic inversion method to prediction the thin sandstone reservoir[J]. Geophysical and Geochemical Exploration, 2011,35(6):804-808.
- [14]沈洪涛,郭乃川,秦童,等.地质统计学反演技术在超薄储层预测中的应用[J].地球物理学进展,2017,32(1):248-253.SHEN Hongtao,GUO Naichuan,QIN Tong,et al. Application of geostatistical inversion for super thin reservoir prediction[J].Progress in Geophysics,2017,32(1):248-253.
- [15]闫海军,何东博,贾爱林,等.川中震旦系灯四段岩溶储集层特征与发育模式[J].石油勘探与开发,2022,49(4):704-715.YAN Haijun,HE Dongbo,JIA Ailin,et al. Characteristics and development model of karst reservoirs in the fourth member of Sinian Dengying Formation in central Sichuan Basin, SW China[J]. Petroleum Exploration and Development,2022,49(4):704-715.
- [16]何东博,闫海军,杨长城,等.安岳气田灯影组四段气藏特征及开发技术对策[J].石油学报,2022,43(7):977-988.HE Dongbo,YAN Haijun,YANG Changcheng,et al. Gas reservoir characteristics and technical countermeasures for development in the fourth Member of Dengying Formation in Anyue gas field[J]. Acta Petrolei Sinica,2022,43(7):977-988.
- [17]翁雪波,潘仁芳,胡明毅,等.川中高石梯地区灯四段储层地震响应及差异性分析[J].长江大学学报(自然科学版),2022,19(2):47-55.WENG Xuebo, PAN Renfang, HU Mingyi, et al. Seismic response and difference analysis of the fourth member of Sinian Dengying Formation in Gaoshiti area of Central Sichuan Basin[J].Journal of Yangtze University(Natural Science Edition),2022,19(2):47-55.
- [18]周正.川中地区震旦系灯影组储层研究[D].成都:西南石油大学,2016.ZHOU Zheng. Study on reservoir of the Sinian Dengying formation in central sichuan[D]. Chengdu:Southwest Petroleum University,2016.
- [19]彭瀚霖.川西南—川中地区上震旦统灯影组储层特征研究[D].成都:成都理工大学,2014.PENG Hanlin. The characteristics of the Upper Sinian Dengying Formation reservoir rocks in the southwestern to central Sichuan Basin[D].Chengdu:Chengdu University of Technology,2014.
- [20]李春梅,彭才,韦柳阳,等.小尺度缝洞型碳酸盐岩储集体地震预测技术:以四川盆地台内GS18井区灯影组四段储层为例[J].断块油气田,2022,29(2):189-193.LI Chunmei, PENG Cai, WEI Liuyang, et al. Seismic prediction technology of small scale fractured-cave carbonate reservoir:Taking the intra-platform reservoir of the fourth Member of Dengying Formation in GS18 wellblock,Sichuan Basin as an example[J]. Fault-Block Oil&Gas Field,2022,29(2):189-193.
- [21]翁雪波,潘仁芳,罗文军,等.川中高石梯台缘带灯四段白云岩储层岩石物理模型研究[J].石油物探,2021,60(6):983-994.WENG Xuebo,PAN Renfang,LUO Wenjun,et al. Petrophysical model for dolomite reservoirs:A case study in the fourth member of the Dengying formation at a platform margin in the Gaoshiti area, central Sichuan Basin[J]. Geophysical Prospecting for Petroleum,2021,60(6):983-994.
- [22]翁雪波.川中高石梯地区灯影组气藏地震响应特征及储层预测方法研究[D].武汉:长江大学,2022.WENG Xuebo. Seismic response characteristics and reservoir predictionmethod of Sinian Dengying Formation in Gaoshiti area of Central Sichuan Basin[D]. Wuhan:Yangtze University,2022.
- [23]刘晓晨,陆永潮,杜学斌,等.层序格架约束下的地质统计学反演在薄砂体预测中的应用[J].地质科技通报,2020,39(3):99-109.LIU Xiaochen,LU Yongchao,DU Xuebin,et al. Application of geostatistical inversion constrained by sequence framework in thinbedded sandbody prediction[J]. Bulletin of Geological Science and Technology,2020,39(3):99-109.
- [24]林利明,郑颖,史浩,等.基于相控地质统计学叠前反演的致密砂岩薄储层含气性预测:以鄂尔多斯盆地临兴中区为例[J].天然气工业,2023,43(2):56-66.LIN Liming,ZHENG Ying,SHI Hao,et al. Gas-bearing prediction of thin tight sandstone reservoirs based on facies-controlled geostatistical pre-stack inversion:A case study of the middle Linxing Block in the Ordos Basin[J]. Natural Gas Industry,2023,43(2):56-66.
- [25]魏达,孙章庆.利用地质统计学反演预测砂岩型铀矿体的变差函数求取方法[J].石油地球物理勘探,2021,56(6):1381-1390,1202.WEI Da,SUN Zhangqing. Calculation method of variation function for predicting sandstone-type uranium ore bady by geostatistical inversion[J]. Oil Geophysical Prospecting, 2021, 56(6):1381-1390,1202.
- 相控约束
- 硅质层
- 地质统计学反演
- 灯四段
- 储层预测
facies-controlled constraint - siliceous layer
- geostatistics inversion
- fourth member of Dengying Formation
- reservoir prediction