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复杂碳酸盐岩储层多数据融合预测技术——以千米桥潜山奥陶系为例
引用本文:闫家伟,王文庆,吕芳芳,朱桂娟,富会,李振永.复杂碳酸盐岩储层多数据融合预测技术——以千米桥潜山奥陶系为例[J].石油地球物理勘探,2021,56(3):583-592.
作者姓名:闫家伟  王文庆  吕芳芳  朱桂娟  富会  李振永
作者单位:1. 东方地球物理公司研究院大港分院, 天津 300280;2. 中国石油大港油田公司, 天津 300280
基金项目:本项研究受中国石油天然气股份有限公司科学研究与技术开发项目“大港油区效益增储稳产关键技术研究与应用”(2018E-11)资助。
摘    要:单一储层预测方法在实际应用中存在一定局限性,在特殊地区不能全面反映多因素控储的实际地质情况。为此,综合前人研究成果,针对千米桥潜山奥陶系碳酸盐岩储层地质特征,提出基于波形指示参数反演和敏感地震属性的多数据融合方法,以准确表征受层状溶蚀孔洞和裂缝控制的复杂缝洞储层。利用波形指示反演结合曲线重构技术有效预测层状溶蚀孔洞分布;利用成像测井解释结论作为约束,优化裂缝敏感地震属性(如蚂蚁体、曲率体),得到较准确的裂缝预测结果。在地质模型的指导下,基于支持向量机的融合方法,将反演结果与裂缝预测结果进行多数据融合,能够在保证层状溶蚀孔洞预测精度的同时,表征裂缝对储层的沟通作用,预测结果符合构造次生裂缝和差异岩溶作用共同控制储层发育的地质特征。实际数据应用结果表明:有利储层发育区整体沿主要断裂呈带状分布,具有一定规模;位于预测的有利储层发育区内的钻井均取得较好产能,总体符合率接近89%。预测结果能够指导开发井位部署、增储上产。

关 键 词:碳酸盐岩储层  千米桥潜山  多数据融合  波形指示参数反演  地震属性  曲线重构技术  支持向量机  
收稿时间:2020-09-21

Fusion of multiple data for predicting complex carbonate reservoirs and its application: A case study on Ordovician of Qianmiqiao buried hills
YAN Jiawei,WANG Wenqing,LYU Fangfang,ZHU Guijuan,FU Hui,LI Zhenyong.Fusion of multiple data for predicting complex carbonate reservoirs and its application: A case study on Ordovician of Qianmiqiao buried hills[J].Oil Geophysical Prospecting,2021,56(3):583-592.
Authors:YAN Jiawei  WANG Wenqing  LYU Fangfang  ZHU Guijuan  FU Hui  LI Zhenyong
Affiliation:1. Dagang Branch of GRI, BGP Inc, PetroChina, Binhai New District, Tianjin 300280, China;2. Dagang Oilfield Branch Company, Petrochina, Binhai New District, Tianjin 300280, China
Abstract:Reservoir prediction by a single method is li-mited, because it is controlled by multiple factors in special areas. By referring to previous researches on geological characteristic of the Ordovician carbonate reservoirs in Qianmiqiao buried hills, we established a multiple-data fusion technique which utilizes seismic waveform parameter inversion and sensitive seismic attributes to characterize complex fractured-vug reservoirs controlled by lateral dissolved pores and fractures. Relieable lateral dissolved pore prediction was achieved by seismic waveform parameter inversion and impedance rebuilting from sensitive logging data. Fractured re-servoir identification was realized by optimizing fracture sensitive seismic attributes, such as curvature and ant volume, under the constraint of FMI. On the geological model, seismic inversion was fused with fracture prediction using the method based on support vector machine. The result can guarantee the precision of lateral dissolved pore predicion and reflect the connectivity of fractures. Field application shows that favorable reservoirs are developed along the major fault belt at a large scale. Wells drilled in the predicted favorable re-servoir zone have good production, and the accuracy is close to 89%. The results is helpful to locating development wells, increasing reserves and production.
Keywords:carbonate reservoirs  Qianmiqiao buried hill  multiple-data fusion  seismic waveform parameter inversion  seismic attributes  well log rebuilt  support vector machine  
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