基于泊松比—杨氏模量联合反演的裂缝预测技术——以四川盆地自215井区龙马溪组为例  

Fracture prediction technology based on Poisson’s ratio—Young’s modulus joint inversion——A case study of Longmaxi Formation in Well Zi 215 Area,Sichuan Basin

作　　者：王丽丽[1] 宋文礼[1] 曾凡成[1] 皮雄[1] 费娥 唐亮[1] WANG Lili;SONG Wenli;ZENG Fancheng;PI Xiong;FEI E;TANG Liang(PetroChina Jilin Oilfield Branch,Songyuan,Jinlin,138000;School of Geosciences,Yangtze University,Wuhan,430100)

机构地区：[1]中国石油吉林油田分公司,吉林松原138000 [2]长江大学地球科学学院,武汉430100

出　　处：《地质论评》2025年第2期694-706,共13页Geological Review

基　　金：中石油科研攻关项目(编号:2021DJ0205)的成果。

摘　　要：裂缝的发育情况对页岩储层的储集空间、页岩油气的保存条件、页岩气井产能、水力压裂效果等都有影响。因此,页岩裂缝预测对研究页岩油气具有重要意义。通过地震资料进行反演是目前有效的裂缝预测方法之一,笔者等以四川盆地自215井区为例,通过将测井数据与地震资料进行结合,充分发挥地震资料横向分辨率较高、测井资料纵向分辨率较高的优点。利用与岩石的内部结构、矿物组分、孔隙度等有关,可定量地表征岩石的抗形变能力,进而用于描述裂缝发育特征的杨氏模量、泊松比两项参数。将其与连续小波变换提频处理后的地震资料结合起来,进行联合反演,得到杨氏模量和泊松比的区域特征,进而对自215井区的裂缝发育特征进行预测。在实际应用中,两种参数单独反演的结果对裂缝的预测并不全面,甚至可能出现部分区域预测结果相悖的情况,为了进一步提高自215井区裂缝预测的精度。该文通过建立泊松比与杨氏模量两个参数单独反演得到的数据体进行相干运算,建立自215井区的裂缝发育概率模型,实现了全区的高精度裂缝发育预测。并结合该区微地震监测资料对裂缝预测结果进行了验证,发现裂缝预测结果吻合率达80%以上。证明了该方法在裂缝预测中的适用性,可为其他地质条件相似地区的页岩裂缝预测提供借鉴方法。Objectives:The development of fractures has an impact on the storage space of shale reservoirs,the preservation conditions of shale oil and gas,the productivity of shale gas Wells,and the effect of hydraulic fracturing.Shale fracture prediction is of great significance to the study of shale oil and gas.In this paper,through the joint inversion of Poisson’s ratio and Young’s modulus,the seismic data and logging data are combined to predict the fracture development from well 215 area in Sichuan Basin,clarify its fracture development characteristics,provide guidance for the further development of shale oil and gas in this area,and provide reference methods for the exploration and development of areas with similar geological conditions.Methods:Based on the feasibility of the inverse fracture prediction technology of Young’s modulus and Poisson’s ratio in previous studies,and combined with the mismatch problem in its practical application,this study attempts to combine the characterization relationship between Young’s modulus and Poisson’s ratio of brittleness index.Firstly,the seismic resolution is improved by CWT continuous wavelet transform to make it match the resolution of logging data.Then,genetic algorithm is used to invert Poisson’s ratio and Young’s modulus separately to obtain a single attribute seismic inversion data body.Then the inversion results are processed by coherent calculation,and the expression of Young’s modulus and Poisson’s ratio of rock brittle-index is fused.By analyzing the correlation between Young’s modulus and Poisson’s ratio,the fusion data body(fracture development probability model)is obtained to characterize rock brittleness and predict fracture development probability.Then,the fracture development characteristics of the Zi-215 well area were predicted,and finally the reliability of the prediction results was verified by combining the structural background and microseismic data of the Zi-215 well area.Results:The regions with high probability of fracture develo

关 键 词：杨氏模量 泊松比 地震反演 裂缝预测 龙马溪组 

分 类 号：TU7[建筑科学—建筑技术科学]