Joint inversion of different geophysical datasets is an effective way to eliminate non-uniqueness in geophysical inversion problems. In this paper, we focus on a case study of joint inversion of seismic traveltime and gravity observations. The results are encouraging and we can have confidence that, comparing traveltime tomography alone, joint inversion of seismic traveltime and gravity data im...

Radon transforms are a family of transformations utilized to enhance the signal-to-noise ratio of seismic records. They operate within the framework of a very simple concept: data and noise are mapped to different areas in the transform domain and therefore, filtering becomes an easy task. Our current efforts in Radon data processing entail the development of multi-parameter Radon transforms to...

We investigate the parallel performance of an iterative solver for 3D heterogeneous Helmholtz problems related to applications in seismic wave propagation. For large 3D problems, the computation is no longer feasible on a single processor, and the memory requirements increase rapidly. Therefore, parallelization of the solver is needed. We employ a complex shifted-Laplace preconditioner combined...

In seismic data acquisition, loss can occur, particularly with the use of streamer systems in marine exploration. These often cause spatial aliasing problems by having close inline intervals and wide crossline to maximize exploration range. To improve resolution direction, various machine learning techniques have been employed for reconstruction. this study, we introduce a 3D cWGAN (conditional...

Numerical modelling of seismic wave propagation is central to seismic imaging and inversion. Modelling of 3D heterogeneous anisotropic media can, however, simultaneously be both costly and of low fidelity. To address some aspects of the fidelity / cost problem, we present our implementation of seismic modelling within the Rayleigh-Sommerfeld algorithmic framework and implemented in a parallel c...

This paper proposes a method for quantitative integration of seismic (elastic) anisotropy attributes with reservoir performance data as an aid in characterization of systems of natural fractures in hydrocarbon reservoirs. This method is demonstrated through application to history matching of reservoir performance using synthetic test cases. Discrete Feature Network (DFN) modeling (Dershowitz et...

This paper proposes a method for the prediction of pore size values in hydrocarbon reservoirs using 3D seismic data. To this end, an actual carbonate oil field in the south-western part ofIranwas selected. Taking real geological conditions into account, different models of reservoir were constructed for a range of viable pore size values.  Seismic surveying was performed next on these models. F...

Although segmental tunnel linings are often used for seismic areas, the influence of segment joints on the segmental lining behavior under seismic loading has not been thoroughly considered in the literature. This paper presents the results of a numerical study investigating the effects of the rotational, axial, and radial joint stiffness of the longitudinal joints on the structural force...

Irregularly and sparsely sampled seismic data that has been shot with a predominant azimuth for long offsets can be completely reconstructed. Our method uses reposting along receiver lines to exact crossline positions, followed by least squares reconstruction in the midpoint-offset domain. This reconstruction scheme has been applied to a 3D marine dataset from the North Sea. Various aspects and...

Seismic coherence is widely used in seismic interpretation and reservoir characterization to highlight (with low values) faults and stratigraphic features from a seismic image. A coherence image can be computed from the eigenvalues of conventional structure tenors, which are outer products of gradients of a seismic image. I have developed a simple but effective method to improve such a coherenc...