... iteration upstream oil & gas lippmann-schwinger equation step 1 step 2 biondi wavefield inversion frequency international algorithm lippmann-schwinger equation constraint rahul sarkar reservoir characterization algorithm 1 vector equation waveform inversion applied geoscience american...

... formulation applied geoscience simulation seismic model reservoir characterization international equation fast anisotropic viscoelastic modeling quantitative seismic reservoir characterization upstream oil & gas modeling exploration geophysicist vector energy 10 american association matrix...

... with the factorization of vectors in the associated latent space can become of interest both for petrographic modeling tasks, the model being able to decrease or increase textural patterns in a given thin section; signal to image translation, generating thin sections reactive to sound waves and being a data input tool...

... NDG method is effective and accurate for dealing with the coupled acoustic-elastic media. interface international american association society upstream oil & gas expression flux numerical flux vector energy 10 reservoir characterization equation applied geoscience media...

... traces to that of the original analytic traces. However, the large computational cost of constructing the covariance matrix, calculating the dominant eigenvalue and the dominant vector restricts its application. By using equivalent simplification and recursion strategies, an efficient implementation...

... large to store during computation. To overcome this limitation, we applied a series of random vectors to probe the inverse Hessian and only stored the resulting vectors. A randomized-singular value decomposition (R-SVD) algorithm was followed to analyze the spectrum of inverse Hessian matrix. Finally...

... in the flow field affect the distribution of the FAC rate as a function of space, which may be obtained not by chemical analysis only but by hydrodynamics-based methods. well integrity pipeline corrosion american association vector equation subsurface corrosion upstream oil & gas materials...

... and hydraulic fracture growth during fracture stimulation. upstream oil & gas hydraulic fracturing deep learning artificial intelligence reservoir characterization neural network spectrogram fracture stimulation lfld vector applied geoscience hydraulic fracture stimulation fracture...

... We investigate the use of a restarted Krylov subspace method for computing the action of a function of large sparse matrix on a vector to numerically solve the one-step wave extrapolation matrix We investigate the use of a restarted Krylov subspace method for computing the action of a function...

... applied to enhance the gridded Total Magnetic Intensity (TMI) images. reservoir characterization lineament magnetization amplitude data quality interpretation metals & mining heat map vector mineral occurrence Augmenting Open-Source Magnetic Data Geoff Plastow, Seequent Josh Sellars...

... layer-cake model, and on a subset of the complex 3D model generated by the SEAM Pore Pressure Prediction Project. reservoir characterization angle gather exploration geophysicist 10 schlumberger summary wavelet applied geoscience vector elastic property angle azimuth gather upstream oil...

... geoscience vector rotation angle stress inversion reservoir characterization focal mechanism constraint htpf data exploration geophysicist 10 stress direction full stress inversion Full stress inversion from focal mechanisms and borehole data at Soultz-sous-For ts. Dmitry Alexandrov* and Leo...

... estimation vector algorithm louboutin matrix estimation herrmann artificial intelligence computational overhead wavefield exploration geophysicist 10 van leeuwen trace estimation gradient Ultra-low memory seismic inversion with randomized trace estimation Mathias Louboutin1, Felix J...

... artificial intelligence deconvolution lawie upstream oil & gas vector cosine similarity matrix machine learning initial wavelet estimation sparse-spike deconvolution wiener deconvolution method algorithm wavelet LaWie - Sparse-Spike Deconvolution with LASSO and Wiener Filter Felipe Jorda...

... borehole-seismic data higher frequency vector exploration geophysicist 10 particle motion sensor waveform spatial Spatial Aliasing Jakob B.U. Haldorsen, MagiQ Technologies, Somerville, MA SUMMARY one can relatively inexpensively build large well-bore arrays of single-component sensors; however...

... vectors in a low-dimensional latent space. Alongside this potential advantage, comes the major risk that the prior might be too restrictive to give physically meaningful solutions a high enough likelihood. In this work, we attempt to mitigate this risk by presenting a measure to evaluate the quality...

...). The following is a general mathematical description of the SOM algorithm based primarily on Kohonen et al., 1996 and Kohonen, 1998. All applications of SOM algorithms begin with a set of p data vectors = 1, 2, . . . , where each is a D-dimensional vector = 1, 2, , Each element, is the value of a different...

... these measurements are not available in many data sets. In this paper, we develop a robust support vector machine (SVM) machine learning approach for identifying high TOC formations. A support vector machine is a kernel based classification tool capable of mapping data to a higher dimension and finding an optimal...

... computationally intensive computational cost migration velocity analysis reservoir characterization velocity model annual international meeting inversion image point vector wemva Baysal , E. , D. D. , Kosloff , and J. W. C. , Sherwood , 1983 , Reverse time migration...

... Presentation Type: Oral machine learning full waveform inversion vector upstream oil & gas optimization trajectory gradient matrix artificial intelligence principal component vector principal vector visualization seg international exposition optimization method variation optimization...