This paper proposes a complete framework consisting pre-processing, modeling, and postprocessing stages to carry out well tops guided prediction of a reservoir property (sand fraction) from three seismic attributes (seismic impedance, instantaneous amplitude, and instantaneous frequency) using the concept of modular artificial neural network (MANN). The dataset used in this study comprising thr...

The geodynamic complexity in the western Mexican margin is controlled by multiple interactions between Rivera, Pacific, Cocos, and North American plates, as evidenced a high seismicity rate, most of whose hypocenters are poorly located. To mitigate this uncertainty with aim improving these hypocentral locations, we undertook TsuJal Project, passive seafloor seismic project conducted from April ...

the mixture of natural and artificial seismic sources with random distributions cause diffuse wave field with random amplitudes and phases called noise. when noise is analyzed in a long-term process, it contains surface waves which are spread in all directions. thus, ambient noise contains data relevant to the surface waves. in recent years, as broadband seismic networks have been distributed v...

Detecting weak seismic events from noisy sensors is a difficult perceptual task. We formulate this task as Bayesian inference and propose a generative model of seismic events and signals across a network of spatially distributed stations. Our system, SIGVISA, is the first to directly model seismic waveforms, allowing it to incorporate a rich representation of the physics underlying the signal g...

Real-time location of earthquakes can be achieved by using direct imaging of the recorded wave field based on a Kirchhoff reconstruction method similar to that used in the migration of seismic reflection data. The standard method of event location requires the wave arrival at each sensor to be picked and associated with an event. By using direct imaging, the event is identified once in the imag...

In this study, stochastic seismic response of a rock-fill dam is investigated by finite element method. The Keban dam constructed in Elazığ, Turkey is chosen as a numerical example. The interaction of the rock-fill dam with the reservoir is neglected, but not the foundation rock. The properties of the dam materials were taken from the dam project and assumed to be linearly elastic, homogenous a...

Optical backbone networks carry a huge amount of bandwidth and serve as a key enabling technology to provide telecommunication connectivity across the world. Currently, fiber-optic cables carry about 99% of global Internet traffic. Hence, in events of network component (node/link) failures, communication networks may suffer from huge amount of bandwidth loss and service disruptions. Natural dis...

The automated processing of multiple seismic signals to detect and localize seismic events is a central tool in both geophysics and nuclear treaty verification. This paper reports on a project, begun in 2009, to reformulate this problem in a Bayesian framework. A Bayesian seismic monitoring system, NET-VISA, has been built comprising a spatial event prior and generative models of event transmis...

My choice of research projects over the past decade has been rather eclectic, covering aspects relating to both seismic sources and Earth structure. There is, however, a consistent theme, and that is a fascination with the large variety of methods for extracting pertinent information from seismic data. In this thesis, I give an brief, largely chronological outline of the steps and insights that...