...., uncertainty quantification. The standard deviation of base 2012; Pradhan and Mukerji, 2018), which allow access to models predictions is used to quantify the regression probability density functions (PDFs). For non-Bayesian uncertainty of RF. The uncertainty can robustly indicate the methods, however, only...

... exploration geophysicist 10 standard deviation inversion herrmann Enabling uncertainty quanti cation for seismic data pre-processing using normalizing ows (NF) an interpolation example Rajiv Kumar1, Maria Kotsi2,4, Ali Siahkoohi3, Alison Malcolm4, 1 Schlumberger, 2PanGeo Subsea, 3Georgia Institute...

... the cell-wise standard deviations. However, a prac- scale 3D inversions still remains largely under-explored. tical strategy for determining the proper range of p-norm val- ues and s is not de ned by Wei and Sun (2020). The methodologies of uncertainty analysis for geophysical in- versions generally fall...

... ajo-franklin injection november 10 standard deviation Continuous active-source seismic monitoring of brine injections directly in the main fault at Mont Terri, Switzerland Tanner Shadoan* and Jonathan Ajo-Franklin, Rice University; Yves Guglielmi, Todd Wood, Michelle Robertson, Paul Cook...

... be simultaneously determined, which is critical in time-lapse. We set up a Bayesian time-lapse FWI based on the Markov chain Monte Carlo (MCMC) algorithm and a new method to estimate the standard deviation of the data error for the time-lapse data. The approach is an assemblage of: double-difference time-lapse FWI...

.... Lim et al. (2017) showed that the nonlinear narios. Bootstrapping results describe the level of uncertainty AVO inversion based on the exact Zoeppritz solution for P- with the mean and standard deviation values of errors for all wave re ectivity can better estimate geophysical and geome- bootstrapping...

... and such that: To simulate realistic data, we added Gaussian noise with 24& = 2 + zero mean and standard deviation of 0.5% for the phase, and 24& = 2 + (5) 1% for the logarithm of apparent resistivity. The choice of (6) standard deviations is to have the same influence by each data type in the inversion process. We use...

... frequencies, and higher frequencies are that describes the standard deviation of phase greatly reduced (Figure 2c). Phase angle variations are significantly diminished (Figure 2c), resulting in a smaller angle at a fixed frequency. Here, phase angle is defined at standard deviation This suggests that enhanced...

..., the proposed inversion process also considers the standard deviation ( d © 2020 Society of Exploration Geophysicists 10.1190/segam2020-3426961.1 SEG International Exposition and 90th Annual Meeting Page 2120 Bayesian inversion for elastic properties and event locations in HTI media ) of the noise (mainly...

... standard deviation velocity distribution low-relief structure structural uncertainty exploration geophysicist 10 reconstruction traveltime Near-surface velocity uncertainty estimation through Bayesian tomography approach Anton Egorov and Pavel Golikov, Aramco Research Center Moscow; Ilya...

... To automate initial velocity model building, we analyze the uncertainty of different model building approaches. Firstly, we derive the standard deviation of the normal moveout (NMO) correction based seismic velocity analysis. We then extend the well log velocity to the entire 3D volume using...

... PM Location: Poster Station 12 Presentation Type: Poster fpd effect boundary holliger standard deviation upstream oil & gas relative difference procedure fracture connectivity frequency effective velocity seg international exposition rubino reservoir characterization...

... forward modeling geophysics equation 8 it software gravity data exploration geophysicist 10 equivalent layer fast equivalent layer equivalent-layer technique data processing brazil standard deviation matrix Gravity data processing with a convolutional equivalent layer Diego Takahashi...

... porosity model exploration geophysicist 10 gpr data artificial intelligence reflection data inversion upstream oil & gas source wavelet borehole location reservoir characterization porosity log seg international exposition realization standard deviation denote stochastic realization...

... novosibirsk state university downhole microseismic monitoring shift retrieval multi-well downhole microseismic monitoring standard deviation time shift retrieval acquisition system timing shift hydraulic fracturing upstream oil & gas microseismic event inversion seg international exposition...

... standard deviation annual international meeting ensemble hessian data assimilation approximate hessian Sivaramakrishnan Lakshmivarahan , S. , J. M. Lewis , and R. Jabrzemski , 2017 , Forecast error correction using dynamic data assimilation , 1 st ed .: Springer...

... characterization lanczo algorithm full waveform inversion approximation artificial intelligence standard deviation randomized svd bayesian uncertainty estimation low-rank approximation bayesian inference hessian posterior covariance matrix eigenvalue Bui-Thanh , T. , O. Ghattas...

... standard deviation artificial intelligence budgell harbour stock airborne gravity gradiometry newfoundland inversion magnetic data tarantola density model upstream oil & gas reservoir characterization knowledge management inversion result canada susceptibility model harbour stock...

... Date: Wednesday, September 18, 2019 Session Start Time: 1:50 PM Presentation Start Time: 2:15 PM Location: 217A Presentation Type: Oral reservoir model data space reservoir characterization machine learning annual meeting seismic history neural network standard deviation seismic data...

..., September 18, 2019 Session Start Time: 1:50 PM Presentation Start Time: 3:05 PM Location: 217B Presentation Type: Oral microseismic event eisner noise level reservoir characterization noise signal-to-noise ratio detection snr standard deviation amplitude moveout correction seg...