Petrophysical inversion quantitatively extracts reservoir properties from seismic data/attributes, which has gained increasing attention in assisting hydrocarbon exploration and evaluation. However, given complex reservoirs, its application is limited either due to the adopted rock-physics model or computational demand. We have developed a semianalytic petrophysical method intended for reservoirs. The incorporates double-porosity Biot-Rayleigh (BR) into forward operator, take account...

Reconstructing an accurate and high-resolution subsurface model is attractive in the fields of both geology seismology. However, due to band-limited characteristics seismic data, inversion greatly depends on reliability initial model. A fairly acceptable could lay a good foundation for inversion. In this article, we first introduce well-log interpolation method with local slope as constraint building high-fidelity starting prestack amplitude versus offset/angle (AVO/AVA) First, briefly...

Seismic exploration of unconventional hydrocarbon reservoirs (e.g., shale rocks) must take into account the transverse isotropy with a vertical axis symmetry (VTI) characteristics. Prestack inversion for VTI media is more complex than isotropic case, since forward engine highly nonlinear and unknowns (five instead three) are involved, which aggravate ill-posedness inverse problem. Here, we propose hierarchical scheme to improve estimation five parameters, where exact reflection coefficient...

Rock-physics amplitude-variation-with-offset (AVO) inversion aims at directly predicting reservoir properties from prestack seismic data. However, carbonate rocks often develop complex pore structures, which limits the application of conventional methods with fixed pore-geometry parameters. We derive a PP-wave reflectivity equation in terms porosity, water saturation, and pore-aspect ratio we rock-physics AVO method to jointly estimate petrophysical parameters carbonates. The is obtained by...

Seismic waveform inversion has been one of the most studied topics in recent years, which can be implemented both common shot gather and prestack midpoint gather. However, there are still several intractable issues to addressed urgently, such as high-computational complexity, nonuniqueness, robustness. In this paper, we have developed a model-based (PWI) with generalized propagation matrix scheme forward operator, where regularized function is minimized limited...

Since most information on S-wave velocity and density exists in the middle to large angle range of seismic data, traditional inversion methods based Zoeppritz approximation have difficulty obtaining satisfactory results. Therefore, as a high-accuracy amplitude varied with (AVA) inversion, exact (EZ) equation has aroused lot attention recent years. As for any other nonlinear iterative convergence error are important problems. In this letter, Bayesian framework, we introduce optimal transport...

Regularization is effective in mitigating the ill-condition existing inverse problems. With respect to ill-conditioned prestack seismic inversion, regularization aims stabilize multiple inverted results and, essentially, reconstruct structural features of subsurface parameter (model) as realistic possible. Among variants method, Markov random field (MRF) an approach formulating prior constraint. However, standard MRF-based or other methods often require knowledge desired models, e.g.,...

Petrophysical amplitude variation with offset (AVO) inversion, which combines a rock-physics model and prestack aims at effectively quantifying reservoir-property parameters from seismic data. However, for reservoir complex pore structures, this approach may suffer difficulties in modeling, hinders solving the relevant inverse problem. We have proposed petrophysical AVO inversion method that considers structures within rocks. The integrates differential effective medium model, Gassmann...

Spectral decomposition based on sparse constrained inversion, as proposed in recent years, is a high-resolution time-frequency domain analysis method. However, the traditional inverse spectral (ISD) algorithm an wavelet transform (IWT) whose mother Ricker function instead of adaptive wavelet, which causes poor continuity and instability ISD results. In this paper, we have extended into other linear transforms developed S (ISD-IST), has higher stability due to more adjustable adaptable...

The estimation of reservoir parameters from seismic observations is one the main objectives in characterization. However, forward model relating petrophysical properties rocks to observed data highly nonlinear, and solving relevant inverse problem a challenging task. We have developed novel inversion method for jointly estimating elastic prestack data. combine full rock-physics exact Zoeppritz equation as model. To overcome ill conditioning address complex prior distribution given...

The numerical solution of the inverse problem is usually obtained by solving a set linear algebraic equations, while system equations may suffer from ill-posedness due to insufficient data. Regularisation technique for making estimation problems well posed adding indirect constraints on estimated model, but regularisation parameter selection difficult. In geophysics, without explicit calculation methods and quantitative evaluation criteria, it based experience inversion engineers try achieve...

In exploration geophysics, AVO inversion is undoubtedly the most common inverse problem which ill-posed and must be regularized. Once regularization used, selection of parameter will become an important to solve. practice, proper value usually data dependent determined empirically. For one work area, engineers often give a fixed parameter. such case, results accompanied by strong artificial subjective factors. Besides, it difficult guarantee that could applied each trace seismic data. this...

ABSTRACT Ill‐posedness is one of the most common and intractable issues that arise when solving geophysical inverse problems. could be induced by various factors such as noise, band‐limited intrinsic property seismic data inappropriate forward operators. Regularization has been proven to an effective method widely accepted for mitigating adverse effects ill‐posedness. Aiming improve stability fidelity pre‐stack inversion process, we implement in a Bayesian framework, with logarithmic...

Patchy saturation of gas and brine within the porous rock can induce significant attenuation velocity dispersion effects, which in turn have a profound impact on seismic data. Thus, there should be close relationship between reservoir parameters, such as saturation, porosity, permeability. Hence, using data to determine information has been subject intensive research recent years. It help quantitatively predicting monitoring CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...

Seismic multicomponent, here refers to P-P wave (PP) and P- shear (SV), joint inversion is an important approach improve the accuracy of S-wave velocity density prediction. Compared with data, converted data are more sensitive these parameters. Thus, introducing seismic could density. Due travel-time gap between multicomponent usually needs be prepared for registration processing in advance. However, methods often suffer from matching errors, which ultimately affect quality results. Based on...

Oil–water discrimination is of great significance in the design and adjustment development projects oil fields. For fractured reservoirs, based on anisotropic S-wave splitting information, it becomes possible to effectively solve such problems which are difficult deal with traditional longitudinal wave exploration, due similar bulk modulus density these two fluids. In this paper, by analyzing character Chapman model (2009 Geophysics74 97–103), velocity reflection coefficient differences...

The quality factor Q is an indispensable parameter for studying wave propagation in viscoelastic media. can not only be implemented improving the of records but also used directly indicating frequency-dependent anomalies induced by fluids, so it widely seismic exploration and clinical medicine. estimation here refers to extraction information from data; has aroused lots attention still somewhat controversial due limitations existing methods. In this letter, combined with a logarithmic...