... geoscience & energy 10 source location velocity model automatic differentiation norm objective function exploration geophysicist regularization Physics-informed full waveform inversion using learned wave eld solutions Xinquan Huang*, Tariq Alkhalifah, Fu Wang, King Abdullah University of Science...

...-embedded physics-informed neural network applied geoscience & energy 10 physics constraint physics-driven term source location equation geology machine learning constraint data-embedded pinn training data exploration geophysicist Data-embedded physics-informed neural network...

... a synthetic example with the elastic Marmousi model and an Oklahoma field data example. resolution elastic media geometric-mean reverse-time migration upstream oil & gas imaging receiver reservoir characterization applied geoscience source location saenger s-wavefield p-and s-wavefield...

... field in Japan, the enhanced DAS-seismic method in the borehole can be efficiently imaged seismically reflective zones suggesting a high possibility of geothermal reservoirs. production control upstream oil & gas production monitoring borehole renewable energy source location reservoir...

... of the pipe account for the frequency spectra of the surface measurements. The multichannel active test also reveals that the acoustic modes of the pipe can appear in time domain and spectral domain and can be helpful in detection of the pipe. reservoir characterization acoustic mode source location...

... making. Here, we present a supervised-learning based traveltime computation approach for layered 1D velocity models. First, we generate numerous synthetic traveltime examples from a combination of source locations and layered subsurface models, covering a broad range of realistic P-wave velocities (2500...

..., that reasonable wavefield solutions can be predicted using smaller networks. This includes wavefields for frequencies not within the training range. The new NN function has the potential to efficiently represent the wavefield as a function of location in space, as well as source location and frequency...

... characterization priori information surface wave full-waveform inversion fwi galena peterie miller analysis of surface waves kansas upstream oil & gas applied geoscience void tromp source location geophysics inversion Delineating mines using full-waveform inversion in Galena, Kansas Dmitry...

... vsp survey applied geoscience source location interpretation illumination exploration geophysicist 10 zvsp upstream oil & gas s-wave source direct measure velocity information vsp seismic survey s-wave splitting Design, acquisition and processing of three Permian Basin 3D VSP...

... intelligence multiplier wavefield inversion geophysics inversion source term machine learning upstream oil & gas waveform inversion velocity model hydraulic fracturing seg international exposition source location gholami iteration exploration geophysicist 10 operto regularization Wave...

... to locate events via grid-search based methods, we investigate the use of Convolutional Neural Networks (ConvNets) to reduce the search space. This is achieved by feeding the ConvNets with the waveforms and outputting a possible area/volume for the source location. Once the ConvNet is trained, it can...

... Presentation Type: Poster frequency filter source location amplitude upstream oil & gas army engineer research exploration geophysicist 10 reservoir characterization air-filled void korneev seg international exposition cavity us government frequency-amplitude plot research...

... on simulated urban noise originated from road traffic traveling perpendicular to the geophone array. We show that when source location is fixed with respect to the receiver array, all simulated wave modes, including surface wave, directly arriving P-wave, and reflection P-wave, are present in the cross...

... that are represented by neural networks (NN). This NN outputs a complex number (two values representing the real and imaginary part) for the scattered Green’s function at a location in space for a specific source location (both locations are input to the network). Considering a background homogeneous medium admitting...

... is trained for a particular source location in a given anisotropic model, the traveltimes for a new source location and/or an updated model can be computed much more efficiently using the pre-trained network. This feature is particularly attractive as it can speed up seismic imaging and inversion...

... timereversal. The optimization corrects for receiver geometry. Additionally, our method is able to handle variations in the source location. If we accurately know the location of a control point in the subsurface we can use the corresponding optimal weights to achieve super-resolved focusing in locations...

... The ample size of time lapse data requires tremendous event detection and source locating capabilities, especially in areas like shale gas exploration regions where a large number of passive seismic events are often recorded. In many cases, the realtime monitoring and locating of these events...

... 8 Presentation Type: Poster upstream oil & gas shragge exploration geophysicist 10 hydraulic fracturing source location geophysics inversion image-domain elastic wavefield tomography artificial intelligence imaging condition microseismic data seg international exposition...

... Seismic source localization plays an important role in estimating the hypocenter of earthquakes and in monitoring hydraulic fracturing. Interferometric cross-correlation migration (ICCM) is one of the most important waveformbased source location methods that produces source image from...

... ABSTRACT In the Gulf of Mexico, salt proximity surveys are typically acquired with only a single offset energy source location and a short array of receivers at varying measurement levels. This array is placed in a wellbore with close proximity to a nearby salt body. The result is a single...