基于反褶积广义S变换的流度属性提取方法在潜山储层预测中的应用  

Application of fluid mobility attribute extraction method based on deconvolution generalized S-transform in buried hill reservoir prediction

作　　者：兰昀霖 文晓涛[1,2] 张超铭 何易龙 王锦涛 LAN Yunlin;WEN Xiaotao;ZHANG Chaoming;HE Yilong;WANG Jintao(State Key Laboratory of reservoir geology and development engineering;School of Geophysics, Chengdu University of technology, Chengdu 610059,China)

机构地区：[1]成都理工大学油气藏地质及开发工程国家重点实验室,成都610059 [2]成都理工大学地球物理学院,成都610059

出　　处：《物探化探计算技术》2022年第2期127-135,共9页Computing Techniques For Geophysical and Geochemical Exploration

基　　金：国家自然科学基金(U156210090)。

摘　　要：草桥古潜山油藏储层埋藏较浅,属于碳酸盐岩孔隙、裂缝、溶洞型复合油藏,受风化壳孔、缝、洞发育程度地质构造、地层岩性、盖层条件等因素影响,具有油水性质复杂多变、储集空间多种多样的特点,能够为油气运移和储集提供有利条件。流体流度属性是反映储层物性及流体可动性的重要指标,为此,这里利用基于反褶积广义S变换的流度属性提取方法,首先通过信号仿真试验证明,反褶积广义S变换能得到高分辨率和高聚集度时频谱的特点;再通过简单模型验证了该流度属性提取方法的有效性及适用性;最后将该提取方法应用于草桥古潜山的实际工区,应用结果表明,基于反褶积广义S变换的流体流度属性提取方法,能够准确地预测出该区域目的储层流体的活动,同时其流度属性剖面的分辨率也得到有效提升,为该区域实际油藏勘探和开发提供借鉴。The Caoqiao buried hill reservoir with shallow buried belongs to a carbonate pore fracture-dissolution type composite reservoir.It is affected by several factors of weathering crust pores,caves and fractures,geological structure,stratum lithology,caprock conditions and other factors.The buried hill is characterized as complicated and changeable oil-water properties and distribution,and various storage spaces,which provides favorable conditions for oil and gas migration and storage.The fluid mobility attribute is an important indicator that reflects the physical properties of the reservoir and fluid mobility.First,the signal simulation test proves that the deconvolution generalized S transform can be obtained with the characteristics of high resolution and high concentration time-frequency,and then the model verifies the effectiveness and applicability of the mobility attribute extraction method based on this method.Finally,the extraction method is applied to the actual construction area of the Caoqiao buried hill.It is proved that the fluid mobility attribute extraction method based on the deconvolution generalized S transform can accurately predict the activity of the reservoir fluid,and improve the fluid mobility attribute profile resolution at the same time.This provides a strong basis for the actual reservoir exploration and development in this area.

关 键 词：草桥古潜山 流体流度 信号仿真 反褶积广义S变换 

分 类 号：P631.4[天文地球—地质矿产勘探]