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1.
裂缝储层岩石物理参数的准确获得对地下裂缝预测具有重要意义,而叠前地震反演是获得裂缝岩石物理参数的有效手段.本文从裂缝岩石物理等效模型的构建出发,从测井数据上估测了裂缝岩石物理参数,通过推导含裂缝岩石物理参数的方位各向异性弹性阻抗公式,探讨了基于方位各向异性弹性阻抗的裂缝岩石物理参数地震反演方法.实际工区地震数据应用表明,基于方位各向异性弹性阻抗的裂缝岩石物理参数反演方法合理、可靠,可以降低裂缝岩石物理参数估测的不确定性,为地下裂缝预测提供有力的依据.  相似文献   

2.
基于长波长近似假设,周期性薄互层中发育一组平行排列的垂直裂缝则可视为等效的正交各向异性介质.岩石物理是构建裂缝参数与地震响应之间联系的基础,地震散射理论是各向异性介质参数反演的有效途径.文章提出了一种利用方位叠前地震数据实现正交各向异性裂缝储层Thomsen弱各向异性参数与裂缝弱度参数可靠预测的方法.首先,综合考虑矿物基质、孔隙、裂缝及各向异性岩石中流体替换的影响,通过构建正交各向异性裂缝岩石物理等效模型,实现正交各向异性刚度系数的估测,进而预测储层测井数据的弹性参数、Thomsen弱各向异性参数及裂缝弱度参数,为后续地震反演提供初始模型约束;然后,基于地震散射理论,推导了面向Thomsen弱各向异性参数与裂缝弱度参数反演的正交各向异性介质纵波反射系数方程,为后续地震反演奠定了理论基础;最后,发展了贝叶斯框架下的正交各向异性裂缝储层Thomsen弱各向异性参数与裂缝弱度参数AVAZ反演方法,同时考虑柯西稀疏约束正则化和平滑模型约束正则化约束,使用非线性的迭代重加权最小二乘策略实现正交各向异性特征参数的稳定估算.模型和实际资料处理表明,该方法能够稳定可靠地从方位叠前地震资料中获取正交各向异性特征参数,为正交各向异性介质的特征参数预测提供了一种高可靠性的地震反演方法.  相似文献   

3.
地下裂缝是油气聚集和运移的重要通道,而裂缝岩石物理是裂缝参数与地震响应之间联系的桥梁.从裂缝岩石物理出发,探索利用地震数据预测地下裂缝的方法.首先通过构建裂缝岩石物理等效模型,弥补测井横波的缺失,并且实现裂缝岩石物理参数的预测;然后推导了裂缝岩石物理参数与地震响应之间的近似关系式,同时探索裂缝岩石弹性参数和岩石物理参数的地震直接反演方法;最后分别利用测井数据和实际工区地震数据对裂缝岩石物理等效模型的可靠性以及裂缝岩石物理参数直接反演方法的精度进行了验证.结果表明,构建的裂缝岩石物理等效模型可以实现裂缝岩石纵横波速度及岩石物理参数的可靠估测,而且裂缝岩石物理参数地震直接反演方法具有较高的抗噪性,在实际目标工区弹性参数和裂缝岩石物理参数的估算中具有较好的应用结果.  相似文献   

4.
长波长假设条件下,各向同性背景地层中发育一组平行排列的垂直裂缝可等效为具有水平对称轴的横向各向同性(HTI)介质.基于不同观测方位的岩石地震响应特征变化,宽方位地震数据不仅可实现裂缝岩石弹性参数与各向异性参数的预测,同时也蕴含着丰富的孔隙度等储层物性参数信息.本文结合实际地震资料提出了贝叶斯框架下岩石物理驱动的储层裂缝参数与物性参数概率地震联合反演方法,首先基于AVAZ反演裂缝岩石的弹性参数与各向异性参数,并在此基础上通过统计岩石物理模型表征孔隙度、裂缝密度等各向异性介质储层参数与裂缝岩石参数的相互关联,并采用马尔科夫链蒙特卡洛(MCMC)抽样方法进行大量样本的随机模拟,使用期望最大化(EM)算法估计后验条件概率分布,最终寻找最大后验条件概率对应的孔隙度、裂缝密度等HTI裂缝介质储层参数即为反演结果.测井及实际地震数据处理表明,该方法能够稳定合理地从方位地震资料中获取裂缝岩石弹性参数与各向异性参数,并提供了一种较为可靠的孔隙度、裂缝密度等裂缝介质储层参数概率地震反演方法.  相似文献   

5.
利用地震数据较为准确地预测地下介质的裂缝发育信息,是裂缝型储层预测的关键手段,也是非常规页岩油气储层压裂改造的关键参数.方位AVO(AVAZ)在描述HTI介质的裂缝分布及发育方向等方面有重要应用,本文提供一种基于全方位地震数据的方位AVO(AVAZ)反演方法,为裂缝预测提供参考资料.首先利用Ruger近似方程正演计算不同方位角及入射角下的反射系数,继而与方位角度道集中地震反射振幅建立目标函数,然后基于正演方程及目标函数采用最小二乘法进行AVAZ反演.实现了从全方位地震资料中同步反演纵波反射系数、各向同性梯度、各向异性梯度及裂缝发育方向.模型数据和实际地震资料应用表明该方法能够有效的预测HTI介质的裂缝分布及方向.  相似文献   

6.
随着地震勘探和开发的不断深入,面向地质目标的精细储层预测技术变得越来越重要.由于透射损失、层间多次波、波模式转换以及随机噪声等的影响,观测地震数据和待反演的地下介质属性之间呈现出很强的非线性.考虑到这些非线性,本文基于积分波动方程开展叠前地震反演,从观测地震数据中恢复出介质属性和整体波场,其中反演参数是波动方程中的压缩系数、剪切柔度和密度的对比度,相比于常规线性AVO反演的波阻抗弹性参数,它们对流体指示有更强的敏感性.在反演过程中,从平滑的低频背景场出发,交替迭代求解数据方程和目标方程.采用乘性正则化方法于共轭梯度框架下求解反演参数,采用优化的散射级数Neumann序列获得整体波场,这种方法不易陷入局部极值,能收敛到正确解.测井资料和典型山前带模型测试表明,利用上述反演方法能获得高分辨率的深度域地下介质属性,可直接进行储层预测和解释.  相似文献   

7.
近年来,随着横波可控震源技术的发展,国内外已经实现了纯横波地震勘探.相较于地震纵波,地震横波对横波阻抗、横波速度尤其是各向异性参数变化更为敏感,因此地震横波能够用来更好地估算上述地层参数.VTI(具有垂直对称轴的横向各向同性)是地层介质中广泛存在的一种各向异性形式,对振幅随偏移距变化(AVO)影响显著.本文提出了一种改进的VTI介质SH-SH波反射系数近似公式,新公式具有较高的精度且仅包含两项待求参数:横波阻抗和水平横波(SH波)速度.基于新方程建立了VTI介质SH-SH波反演方法,该方法相比VTI介质的PP波反演不确定性明显下降,同时降低了常规PP波各向异性反演对大角度数据的要求.为了获得独立的横波各向异性参数,进一步地提出了一种基于岩石物理关系的横波各向异性参数估算方法.合成地震数据测试和柴达木盆地九分量地震勘探实际地震数据应用结果表明,新方法能够准确地预测地层的横波阻抗、水平横波(SH波)速度、各向异性参数,为各向异性地层的岩性解释和油气储层预测提供了可靠的解决方案,从而深化了横波地震勘探的应用潜力.  相似文献   

8.
提出了各向异性页岩储层统计岩石物理反演方法.通过统计岩石物理模型建立储层物性参数与弹性参数的定量关系,使用测井数据及井中岩石物理反演结果作为先验信息,将地震阻抗数据定量解释为储层物性参数、各向异性参数的空间分布.反演过程在贝叶斯框架下求得储层参数的后验概率密度函数,并从中得到参数的最优估计值及其不确定性的定量描述.在此过程中综合考虑了岩石物理模型对复杂地下介质的描述偏差和地震数据中噪声对反演不确定性的影响.在求取最大后验概率过程中使用模拟退火优化粒子群算法以提高收敛速度和计算准确性.将统计岩石物理技术应用于龙马溪组页岩气储层,得到储层泥质含量、压实指数、孔隙度、裂缝密度等物性,以及各向异性参数的空间分布及相应的不确定性估计,为页岩气储层的定量描述提供依据.  相似文献   

9.
碳酸盐岩储层具有复杂的孔隙结构,其显著影响了岩石的弹性和地震响应特征,也影响物性参数预测精度.现有的岩石物理反演方法主要是针对碎屑岩储层,反演的对象主要是孔隙度和饱和度,采用的数据主要是弹性参数,使用的算法主要是线性近似法,缺少针对碳酸盐岩储层的孔隙结构与物性参数反演方法.针对这些问题,文章首次提出了一种基于弹性阻抗的适用于碳酸盐岩复杂孔隙储层的孔隙结构和物性参数贝叶斯非线性同步反演新方法,该方法把多孔介质岩石物理模型、Gassmann方程、AVO理论、贝叶斯理论和非线性反演算法结合起来,实现复杂孔隙储层的孔隙结构和物性参数的定量同步预测.模型正演揭示,孔隙结构参数即孔隙扁度对AVO反射系数和弹性阻抗的贡献度仅次于孔隙度,远远大于含水饱和度的影响.实际资料应用表明,文章提出的从叠前道集中直接反演物性参数和等效孔隙扁度新方法可以准确预测储层孔隙度和饱和度及其空间展布,并可评价有效储层的孔隙结构.  相似文献   

10.
TTI介质各向异性参数多波反演与PS波AVO分析   总被引:1,自引:1,他引:0       下载免费PDF全文
把遗传算法引入到了TTI介质AVO信息反演各向异性参数的过程中,依据TTI介质PP波、PS波反射系数公式,建立Thomsen参数和TTI介质对称轴倾角、方位角的目标函数,分别通过PP波和PS波的反射系数反演出了各向异性参数和对称轴倾角、方位角等信息.文中对反演结果的精确度和稳定性进行了分析,发现PS波的反演结果优于PP波反演结果;对称轴倾角的反演准确性明显优于对称轴方位角.本文通过模型正演合理解释了这一现象的原因.最后,本文通过对PS波AVO梯度的研究,提出了利用PS波振幅定性分析TTI介质对称轴倾角的方法.  相似文献   

11.
Underground fractures play an important role in the storage and movement of hydrocarbon fluid. Fracture rock physics has been the useful bridge between fracture parameters and seismic response. In this paper, we aim to use seismic data to predict subsurface fractures based on rock physics. We begin with the construction of fracture rock physics model. Using the model, we may estimate P-wave velocity, S-wave velocity and fracture rock physics parameters. Then we derive a new approximate formula for the analysis of the relationship between fracture rock physics parameters and seismic response, and we also propose the method which uses seismic data to invert the elastic and rock physics parameters of fractured rock. We end with the method verification, which includes using well-logging data to confirm the reliability of fracture rock physics effective model and utilizing real seismic data to validate the applicability of the inversion method. Tests show that the fracture rock physics effective model may be used to estimate velocities and fracture rock physics parameters reliably, and the inversion method is resultful even when the seismic data is added with random noise. Real data test also indicates the inversion method can be applied into the estimation of the elastic and fracture weaknesses parameters in the target area.  相似文献   

12.
Based on the long-wavelength approximation, a set of parallel vertical fractures embedded in periodic thin interbeds can be regarded as an equivalent orthorhombic medium. Rock physics is the basis for constructing the relationship between fracture parameters and seismic response. Seismic scattering is an effective way to inverse anisotropic parameters. In this study, we propose a reliable method for predicting the Thomsen’s weak anisotropic parameters and fracture weaknesses in an orthorhombic fractured reservoir using azimuthal pre-stack seismic data. First, considering the influence of fluid substitution in mineral matrix, porosity, fractures and anisotropic rocks, we estimate the orthorhombic anisotropic stiffness coefficients by constructing an equivalent rock physics model for fractured rocks. Further, we predict the logging elastic parameters, Thomsen’s weak parameters, and fracture weaknesses to provide the initial model constraints for the seismic inversion. Then, we derive the P-wave reflection coefficient equation for the inversion of Thomsen’s weak anisotropic parameters and fracture weaknesses. Cauchy-sparse and smoothing-model constraint regularization taken into account in a Bayesian framework, we finally develop a method of amplitude variation with angles of incidence and azimuth (AVAZ) inversion for Thomsen’s weak anisotropic parameters and fracture weaknesses, and the model parameters are estimated by using the nonlinear iteratively reweighted least squares (IRLS) strategy. Both synthetic and real examples show that the method can directly estimate the orthorhombic characteristic parameters from the azimuthally pre-stack seismic data, which provides a reliable seismic inversion method for predicting Thomsen’s weak anisotropic parameters and fracture weaknesses.  相似文献   

13.
Fracture detection and fluid identification are important tasks for a fractured reservoir characterization. Our goal is to demonstrate a direct approach to utilize azimuthal seismic data to estimate fluid bulk modulus, porosity, and dry fracture weaknesses, which decreases the uncertainty of fluid identification. Combining Gassmann’s (Vier. der Natur. Gesellschaft Zürich 96:1–23, 1951) equations and linear-slip model, we first establish new simplified expressions of stiffness parameters for a gas-bearing saturated fractured rock with low porosity and small fracture density, and then we derive a novel PP-wave reflection coefficient in terms of dry background rock properties (P-wave and S-wave moduli, and density), fracture (dry fracture weaknesses), porosity, and fluid (fluid bulk modulus). A Bayesian Markov chain Monte Carlo nonlinear inversion method is proposed to estimate fluid bulk modulus, porosity, and fracture weaknesses directly from azimuthal seismic data. The inversion method yields reasonable estimates in the case of synthetic data containing a moderate noise and stable results on real data.  相似文献   

14.
基于弹性阻抗的储层物性参数预测方法   总被引:12,自引:9,他引:3       下载免费PDF全文
储层物性参数是储层描述的重要参数,常规的基于贝叶斯理论的储层物性参数反演方法大多是通过反演获得的弹性参数进一步转换而获得物性参数,本文提出一种基于弹性阻抗数据预测储层物性参数的反演方法.该方法主要通过建立可以表征弹性阻抗与储层物性参数之间关系的统计岩石物理模型,联合蒙特卡罗仿真模拟技术,在贝叶斯理论框架的指导下,应用期望最大化算法估计物性参数的后验概率分布,最终实现储层物性参数反演.经过模型测试和实际资料的处理,其结果表明本文提出的方法具有预测精度高,稳定性强,横向连续性好等优点.  相似文献   

15.
Fractures in elastic media add compliance to a rock in the direction normal to the fracture strike. Therefore, elastic wave velocities in a fractured rock will vary as a function of the energy propagation direction relative to the orientation of the aligned fracture set. Anisotropic Thomson–Haskell matrix Rayleigh-wave equations for a vertically transverse isotropic media can be used to model surface-wave dispersion along the principal axes of a vertically fractured and transversely isotropic medium. Furthermore, a workflow combining first-break analysis and azimuthal anisotropic Rayleigh-wave inversion can be used to estimate P-wave and S-wave velocities, Thomsen's ε, and Thomsen's δ along the principal axes of the orthorhombic symmetry. In this work, linear slip theory is used to map our inversion results to the equivalent vertically fractured and transversely isotropic medium coefficients. We carried out this inversion on a synthetic example and a field example. The synthetic data example results show that joint estimation of S-wave velocities with Thomsen's parameters ε and δ along normal and parallel to the vertical fracture set is reliable and, when mapped to the corresponding vertically fractured and transversely isotropic medium, provides insight into the fracture compliances. When the inversion was carried out on the field data, results indicated that the fractured rock is more compliant in the azimuth normal to the visible fracture set orientation and that the in situ normal fracture compliance to tangential fracture compliance ratio is less than half, which implies some cementation may have occurred along the fractures. Such an observation has significant implications when modelling the transport properties of the rock and its strength. Both synthetic and field examples show the potential of azimuthal anisotropic Rayleigh-wave inversion as the method can be further expanded to a more general case where the vertical fracture set orientation is not known a priori.  相似文献   

16.
17.
Wide-azimuth seismic data can be used to derive anisotropic parameters on the subsurface by observing variation in subsurface seismic response along different azimuths. Layer-based high-resolution estimates of components of the subsurface anisotropic elastic tensor can be reconstructed by using wide-azimuth P-wave data by combining the kinematic information derived from anisotropic velocity analysis with dynamic information obtained from amplitude versus angle and azimuth analysis of wide-azimuth seismic data. Interval P-impedance, S-impedance and anisotropic parameters associated with anisotropic fracture media are being reconstructed using linearized analysis assuming horizontal transverse anisotropy symmetry. In this paper it is shown how additional assumptions, such as the rock model, can be used to reduce the degrees of freedom in the estimation problem and recover all five anisotropic parameters. Because the use of a rock model is needed, the derived elastic parameters are consistent with the rock model and are used to infer fractured rock properties using stochastic rock physics inversion. The inversion is based on stochastic rock physics modelling and maximum a posteriori estimate of both porosity and crack density parameters associated with the observed elastic parameters derived from both velocity and amplitude versus angle and azimuth analysis. While the focus of this study is on the use of P-wave reflection data, we also show how additional information such as shear wave splitting and/or anisotropic well log data can reduce the assumptions needed to derive elastic parameter and rock properties.  相似文献   

18.
Knowledge about the spatial distribution of the fracture density and the azimuthal fracture orientation can greatly help in optimizing production from fractured reservoirs. Frequency-dependent seismic velocity and attenuation anisotropy data contain information about the fractures present in the reservoir. In this study, we use the measurements of velocity and attenuation anisotropy data corresponding to different seismic frequencies and azimuths to infer information about the multiple fracture sets present in the reservoir. We consider a reservoir model with two sets of vertical fractures characterized by unknown azimuthal fracture orientations and fracture densities. Frequency-dependent seismic velocity and attenuation anisotropy data is computed using the effective viscoelastic stiffness tensor and solving the Christoffel equation. A Bayesian inversion method is then applied to measurements of velocity and attenuation anisotropy data corresponding to different seismic frequencies and azimuth to estimate the azimuthal fracture orientations and the fracture densities, as well as their uncertainties. Our numerical examples suggest that velocity anisotropy data alone cannot recover the unknown fracture parameters. However, an improved estimation of the unknown fracture parameters can be obtained by joint inversion of velocity and attenuation anisotropy data.  相似文献   

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