... the effectiveness of unconditional diffusion models in guaranteeing spatial patterns, data distribution, and diversity. Importantly, the models produce realizations free from artifacts that would contradict geological authenticity. In addition, we also test conditional diffusion models to create realistic facies...

.... petroleum geology economic geology model realization noise imaging realization applied geoscience exploration geophysicist reservoir characterization statistical imaging expanded abstract velocity model perturbation migration speckle noise geologist american association clutter model...

... analysis in new areas where the presence of igneous deposits is presumable. geologist realization structural geology modeling & simulation rock type economic geology reservoir characterization ambiguity assessment seismic characterization petroleum geology geological subdiscipline...

... We are developing an automatic workflow using Bayesian methods that help in the interpretation of channel geometries and reservoir properties from seismic data. A wider range of prior uncertainties are introduced by building multiple geological realizations. Based on global similarity comparison...

... interpolation on both synthetic and field data. geologist reservoir characterization realization noise realization upstream oil & gas machine learning algorithm simoncelli artificial intelligence denoiser seismic interpolation geology interpolation iteration exploration geophysicist...

... reservoir characterization biolithite international energy 10 matrix society realization classification pore magnitude carbonate extraction resolution Porosity and permeability calculations in a Biolithite using x-ray tomography images Adetomiwa Aderemi*, Elli-Maria Charalampidou, Zeyun Jiang...

... their realizations to observed caves. upstream oil & gas geologist exploration geophysicist sedimentary rock geology saudi arabia government elevation international rock type gan elevation map morphology machine learning simulation representation bahamas ripley asia government artificial...

... Variational Inference is then utilized to optimize the parameters of the VAE latent distribution for a given observed data and modelling operator of interest, and sample multiple realizations from the optimized parametric posterior distributions. Seismic deblending as well as joint interpolation and wavefield...

.... upstream oil & gas machine learning porosity scenario reservoir characterization american association artificial intelligence interpretation realization international energy 10 society algorithm poisson ratio fairway handil oilfield modification reservoir simulation exploration...

...) medium that are based on normal moveout (NMO) travel- time calculations and detectability criterion. We provide mathematical derivations of stochastic relations of the properties of the anisotropy parameters and show how to model their realizations and uncertainties. We demonstrate the method using a 3D...

... reservoir surveillance reservoir characterization production control reservoir simulation co 2 sparse representation applied geoscience application international ensemble coefficient correlation subsurface storage production monitoring inversion energy 10 figure 2 bhakta realization...

... Geostatistical sampling and stochastic inversion algorithms allow generating a large number of reservoir models conditioned by the available borehole and geophysical measurements. The spatial variability of these realizations represents the uncertainty in the reservoir model. However, in many...

... structural geology viking graben reservoir characterization petroleum saturation realization kauerauf scenario exploration geophysicist american association simulation similarity applied geoscience upstream oil & gas multidimensional migration langfjellet discovery...

... is implemented. A Bayesian implementation of the network architecture is implemented to assess uncertainty if needed. To train the network, noisy training data are either generated by adding synthetic noise or by reprocessing image logs to produce multiple realizations of noisy images. Training is done using...

... perform a numerical study of focusing target events in the image domain using various realizations of the cluttered media velocity models. We also perform a feasibility study of statistical imaging with path summation and present a heuristic technique to obtain a subsurface image without specifying...

...Spatially correlated Markov chain Monte Carlo method for petrophysical inversion Peng Li* (University of Wyoming), Leandro de Figueiredo (LTrace), Dario Grana (University of Wyoming), and Klaus Mosegaard (University of Copenhagen) Summary At each iteration, the proposed realization only depends...

... coefficients. We also simulated different interpretation attributes from a plurality of input image volumes which styles by varying the stiffness constraints in the fault produces a statistically valuable population of fault attribute likelihood prediction: Style S (curved faults with small realizations. We...

... upstream oil & gas facies exploration geophysicist 10 geology back reservoir characterization thickness geophysics realization inversion probability dpi shaley sand machine learning applied geoscience rock property direct probabilistic inversion southern alberta oil play avo inversion...

... realizations. In these tests, the sensitivity to the chanical properties of highly anisotropic organic-rich shale for input AVO range and SNR is less and the uncertainty smaller a strong contrast case. In addition, Lim et al. (2019) applied for all parameters when the PP- and PS-Joint Zoeppritz AVO...

... Analysis PCA technique which identifies consistent data structures as The conventional approach to define facies is based either defined by the pattern recognition. We run several on textural properties, the pore type classification, realizations using various input logs e.g, DTC, DTS, RHOB, application...