... into the Technical Program but was not presented at IMAGE 2021 in Denver, Colorado. artificial intelligence gaussian noise u-net neural network magnetic data validation model inversion result magnetic anomaly reservoir characterization upstream oil & gas convolutional network geophysical...

... establishes a set of technical process for predicting reservoir permeability, porosity and pore structure by using prestack seismic multi-parameter inversion results. When the porosity and shale content are weighted, there is a good linear fitting relationship with the P-wave and S-wave velocity. What’s more...

... information inversion upstream oil & gas applied geoscience configuration modeling inversion result interpolation modeling paleogene reservoir inversion method reservoir prediction reservoir characterization resolution prediction exploration geophysicist 10 reservoir frequency model...

..., thickness of sand bodies drilled in KL A structure is high-resolution inversion results are generated by well- generally lower than the seismic resolution limit. Thus, it is controlled fusion of inversion data volumes. Finally, pre- difficult to accurately describe the reservoir distribution with stack...

... of the wavelet is not considered in the inversion, it will lead to inaccuracy in the inversion result. Considering the time-varying nature of seismic wavelets, this paper introduces a time-varying factor in the reflection coefficient inversion, and realizes the L1 norm constrained reflection coefficient...

... that are not identifiable from the individual inversion results. While further tests are necessary to investigate the robustness of some of the features, these first results show the great potential of the variation of information constraint as a general purpose method in joint inversion and showcase the additional...

... to evaluate the generalization ability of the trained model and the inversion impedance directly. (2) We further improved the inversion results by adopting the uncertainty as the weight of the loss function. We accomplish this by placing evidential priors over the original Gaussian likelihood function...

... inversion on over 1000 microseismic events often indicate tensile ruptures. Eaton et al. (2014) in a Montney reservoir, northeastern British Colombia (BC). investigated the P- and S-wave radiation patterns for uniform The inversion results are compared with the results from the sampling of the focal sphere...

... exploration geophysicist 10 gradual deformation algorithm artificial intelligence autocorrelation function inversion result random medium theory inversion method applied geoscience deformation algorithm autocorrelation length inversion parameter statistical characteristic parameter characteristic...

... optimization problem momentum direction inversion result full waveform inversion model element penalty term A tunneling approach for clustered priors in full waveform inversion Scott D. Keating and Kristopher A. Innanen, Dept. of Geoscience, University of Calgary SUMMARY not their spatial distribution...

... an inversion result, meaning the entire dimen- and Romdhane (2017), and Liu and Peter (2019) consider a truncated sionality of the problem may not be relevant for practical uncertainty singular-value decomposition (SVD) of the Hessian to achieve this quanti cation. Typically, it is only the uncertainty...

... Lacking of training data and uncertainty evaluation of inversion results are challenging problems in deep learning geophysical inversion. In this paper, we propose to combine the Gaussian mixture model (GMM) with the conditional generative adversarial network (cGAN) to solve the problem...

.... With an increase in improve the inversion results and were not used beyond the transmitter moments over the last decade, penetration 2D inversion. For the first discussed data set, which depths have been increased substantially to depth ranges included MT and ZTEM data, the 2D joint inversion results exceeding 1...

... rayleigh-and love-wave inversion higher mode reservoir characterization phase velocity love-wave inversion exploration geophysicist 10 estimation elastic anisotropy shot gather inversion result inversion s-wave velocity anisotropy Anisotropic multimode joint Rayleigh- and Love-wave inversion...

... with a central frequency of 15Hz. The gradient based optimization Adam algorithm is used as the optimization method (Kingma and Ba, 2014). Figure 4: Surface acquisition RNN anisotropic viscoelastic FWI. (ad) C11, C13, C33, C44 inversion results. (eh) QC11, QC13, QC33, QC44 inversion results. Figure 2...

... porosity machine learning artificial intelligence ti anisotropy characterization sonic dataset reservoir characterization structural geology ti parameter inversion result multiple well exploration geophysicist 10 independent elastic parameter inversion result notation dataset anisotropy...

... Field Research Station in Newell County, Alberta, Canada. The results are consistent with the regional lithology background. upstream oil & gas mode dispersion curve inversion result artificial intelligence posterior distribution model parameter reservoir characterization applied...

... of the posterior elastic parameters in a single seismic trace longitudinally. distribution, um and M' denote the discrete expectation and Better inversion results can be obtained with two directional simultaneously constraints. cross-covariance of the Gaussian prior model respectively. d o1bs is given...

...” at contrastive boundaries of structures in inversion results. To solve this problem, we innovatively propose a time-frequency domain FWI using a normalized source (TFFWI). In our method, we use a series of frequencies with accurate phase information but normalized amplitude as a new source in the time domain...

... magnetic layer inclination high-velocity layer inversion result inversion Research on the magnetic structure of the South China Sea based on the three-dimensional magnetic inversion with variable inclination and declination Liting Jing1*, Ming Hu1, Yongtao Wang2 1 State Key Laboratory of Marine...