Musa Maharramov

Musa Maharramov
Stanford University | SU · Department of Geophysics

PhD, Mathametics; PhD, Geophysics

About

29
Publications
2,939
Reads
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218
Citations
Introduction
Interests and Areas of Research and Application: - Applied Geophysics: Seismic Imaging and Inversion, Geomecanics - Mathematics: Numerical Analysis and Optimization, PDE/ODE and Functional Analysis, Statistical Estimation, Machine Learning - Computing: Parallel and Scientific Computing, POSIX System Programming, Embedded Systems
Additional affiliations
October 2011 - February 2016
Stanford University
Position
  • Researcher

Publications

Publications (29)
Article
We demonstrate that a workflow combining emergent time-lapse full-waveform inversion (FWI) and machine learning technologies can address the demand for faster time-lapse processing and analysis. During the first stage of our proposed workflow, we invert long-wavelength velocity changes using a tomographically enhanced version of multiparameter simu...
Article
Full-text available
Temperature and pressure changes associated with the cyclic steam stimulation (CSS) used in heavy oil production from sands are accompanied by significant deformation. Inversion of induced reservoir pore-pressure changes from deformation measurements may provide a potentially powerful reservoir-monitoring tool if the issues of measurement noise, un...
Article
Full-text available
Compaction in the reservoir overburden can impact production facilities and lead to a significant risk of well-bore failures. Prevalent practices of time-lapse seismic processing of 4D data above compacting reservoirs rely on picking time displacements and converting them into estimated velocity changes and subsurface deformation. This approach rel...
Conference Paper
We implement multiparameter full-waveform inversion (FWI) in the isotropic acoustic media with the nonlinear conjugate gradient (CG) method. The performance of the FWI is evaluated using di erent combinations of acoustic parameters, including velocity, density and acoustic impedance. Simultaneous inversion of velocity and density leads to smoother...
Conference Paper
We present a field data application of the technique for reconstructing production-induced subsurface model changes from time-lapse seismic data using full-waveform inversion (FWI). The technique simultaneously inverts multiple survey vintages with total-variation (TV) regularization of the model differences. After describing the method, we discuss...
Article
Full-text available
We present a powerful and easy-to-implement iterative algorithm for solving large-scale optimization problems that involve $L_1$/total-variation (TV) regularization. The method is based on combining the Alternating Directions Method of Multipliers (ADMM) with a Conjugate Directions technique in a way that allows reusing conjugate search directions...
Conference Paper
Full-text available
We present a field data application of the technique proposed by Maharramov and Biondi (2015) for reconstructing production-induced subsurface model changes from time-lapse seismic data using full-waveform inversion (FWI). The technique simultaneously inverts multiple survey vintages with total-variation (TV) regularization of the model differences...
Conference Paper
Full-text available
This work proposes a technique for deriving fast finite-difference algorithms for numerical modelling of acoustic wave propagation in anisotropic media. The technique is deployed in the case of transversely isotropic media to implement a kinematically accurate shear-free fast finite-difference modelling method. This results in a significant reducti...
Conference Paper
Full-text available
We present a technique for reconstructing production-induced subsurface velocity model changes from time-lapse seismic data using full-waveform inversion (FWI). The technique is based on simultaneously inverting multiple survey vintages with model-difference regularization using the total-variation (TV) seminorm. We compare the new TV-regularized t...
Article
Full-text available
We present a powerful and easy-to-implement algorithm for solving constrained optimization problems that involve $L_1$/total-variation regularization terms, and both equality and inequality constraints. We discuss the relationship of our method to earlier works of Goldstein and Osher (2009) and Chartrand and Wohlberg (2010), and demonstrate that ou...
Conference Paper
Full-text available
Temperature and pressure changes associated with the cyclic steam simulation (CSS) used in heavy oil production from sands are accompanied by significant deformation. Inversion of geomechanical data may provide a potentially powerful reservoir monitoring tool where geomechanical effects are significant. Induced pore pressure changes can be inverted...
Conference Paper
Full-text available
We present a technique for reconstructing subsurface model changes from time-lapse seismic survey data using full-waveform inversion (FWI). The technique is based on simultaneously inverting multiple survey vintages, with regularization of the model difference. In addition to the fully simultaneous FWI that requires the solution of a larger optimiz...
Article
Full-text available
We propose a formulation of full-wavefield inversion (FWI) as a constrained optimization problem, and describe a computationally efficient technique for solving constrained full-wavefield inversion (CFWI). The technique is based on using a total-variation regularization method, with the regularization weighted in favor of constraining deeper subsur...
Article
Full-text available
We propose a multi-model formulation of full-waveform inversion that is similar to image decomposition into a "cartoon" and "texture" used in image processing. Inversion problem is formulated as unconstrained multi-norm optimization that can be solved using conventional iterative solvers. We demonstrate the proposed model decomposition approach by...
Article
Full-text available
I provide a framework for deriving fast finite-difference algorithms for the numerical modeling of acoustic wave propagation in anisotropic media. I deploy it in the case of transversely isotropic media to implement a kinematically accurate fast finite-difference modeling method. This results in a significant reduction of the shear artifacts compar...
Article
Full-text available
We present a technique for reconstructing subsurface velocity model changes from time-lapse seismic survey data using full-waveform inversion (FWI). The technique is based on simultaneously inverting multiple survey vintages, with model difference regularization using the total variation (TV) seminorm. We compare the new TV-regularized time-lapse F...
Article
Full-text available
This paper has evolved out of our previous work on static stress transfer, where we used the full-space elastostatic Green's tensor to compute the Coulomb stress transfer impact of the Landers earthquake on the Hector Mine event. In this work, we use the elastostatic Green's tensor for an arbitrary layered Earth model with free-surface boundary con...
Article
We present an overview of the existing methods for computing functional determinants, and outline a possible way forward for Hamiltonians of higher dimensions without radial symmetry.
Article
Full-text available
We propose a computationally efficient technique for extrapolating seismic waves in an arbitrary isotropic elastic medium. The method is based on factorizing the full elastic wave equation into a product of pseudo-differential operators. The method extrapolates displacement fields, hence can be used for modeling both pressure and shear waves. The p...
Conference Paper
We present a technique for efficient one-way wave-equation migration of seismic data in Tilted Transversally Isotropic Media. The technique combines explicit and implicit wavefield extrapolation, and achieves good imaging results at a fraction of the computational cost of Reverse Time Migration.
Conference Paper
AVO is an important tool in the interpretation of seismic data. Azimuthal AVO models (AVAZ) have been used to characterize fracture distributions and directions in HTI (Horizontal Transverse Isotropy) media. The main subject of this paper is a method for the stabilization of AVAZ parameters. We present an extension of the technique of Whitcombe, Dy...
Conference Paper
Azimuthal velocity models for HTI (Horizontal Transverse Isotropy) media are extensively and widely used for land seismic exploration in North America, North Africa and the Middle East. A surface fitting technique honouring all azimuths can invert for an HTI velocity model, which can then be used to perform azimuthally dependent NMO to flatten the...
Conference Paper
We describe a methodology for updating velocity models for depth imaging based on one-way wavefield extrapolation. The method uses an objective function that optimizes focusing in the offset domain, or equivalently, gather flatness in the angle domain. We illustrate various aspects of the method with 2D synthetic and 3D data examples from an area e...
Article
Full-text available
Summary A methodology for velocity updating using one-way wavefield extrapolation is described. The method is based on iterative optimization of two different objective functions; one that minimizes an image difference, and a second that optimizes focusing in the offset-at-depth domain, or equivalently, gather flatness in the angle domain. Various...

Network

Cited By
    • Institut National de la Recherche Scientifique
    • National Institute of Advanced Industrial Science and Technology
    • Research Institute of Innovative Technology for the Earth
    • University of Nice-Sophia Antipolis - Observatoire de la Cote d'Azur - CNRS - IRD
    • National Institute of Oceanography and Applied Geophysics - OGS