... Risk in exploration projects largely results from a lack of data. Extensive sampling is necessary to capture the geologic heterogeneities and to reduce bias. Here, we integrate rock-physics modeling and statistical simulations to anticipate the variability in seismic properties of igneous rocks...

.... In this abstract, we focus on the role of training data in providing quality interpretation results. We describe a method for generating realistic synthetic 3D seismic data for training neural networks with great variability and show its performance for training a CNN. deep learning reservoir...

... geology applied geoscience energy 10 geologist united states government exploration geophysicist regularization upstream oil & gas reservoir characterization consideration etienne marc duncan bate figure 3 society crossline david brooke regulation variability seet li yong simon dean...

... volume (thickness) and net-gross ratio. The process proves a significant improvement over standard amplitude mapping and seismic facies analysis, leading to a better analysis of architecture and variability of Lower Wilcox sand prone slope deposits in South Central Texas. After Midway transgression...

... frameworks for mudstones, the majority of these studies have focused on proximal locales where variability in terrigenous derived sediment can be more easily evaluated (Li and Schieber, 2020; Percy and Pedersen, 2020; Laurin et al., 2019). In this study, we present an integrated lithologic (from core...

... the elastic variabilities fixed) and integrating an interpolation scheme into the evaluation of the local likelihood models used direct probabilistic inversion it becomes computationally feasible. reservoir characterization direct probabilistic inversion applied geoscience hansen upstream oil...

... Imaging the spatial distribution and variability of the physical properties controlling subsurface fluid flow remains a fundamental geophysical challenge. Oscillatory hydraulic tomography is a minimally invasive hydraulic testing approach to image these hydraulic properties; however...

... 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...

... of a phase of plateau rupture which leads to late-stage oceanic spreading. The structural style of the SCDB varies along strike, appearing to be, in part, related to the different thicknesses of the CLIP. The purpose of this project was to assess the architectural variability of the crustal domains...

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... electron microscopy (SEM), and X-Ray Fluorescence (XRF) of drill cuttings from 5 wells within the Ardmore Basin. Basin-scale 3D models reveal the regional variability of its mineralogical and petrophysical properties and, with elemental data, are compared to interpret potential ocean water conditions...

... in outcrop by a regionally extensive downlap surface. structural geology central utah deposit american association strata reservoir characterization late cretaceous panther tongue sandstone exploration geophysicist upstream oil & gas panther tongue sandstone variability van wagoner...

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... layer were interpreted as zones of fluvial or glacial et al. 2020). Results from a single line of ERT field data scour. Recently, these data were evaluated using refraction showed channel-like features that were interpreted as and surface wave analyses to quantify variability in the vertical contacts...

... of thrust-related folds and strike inline spacing of 12.5 m and crossline spacing of 25 m, variability in frontal ramp geometry and development of whereas the smaller survey has an inline spacing of 6.25 m shear zones. and crossline spacing of 12.5 m. We use the former to define the overall geometry...

... of acquisition variations: reducing the processing time while improving data quality. A key component in preparing OBN data for migration is The key procedures incorporate simultaneous inversion of understanding and correcting for all acquisition variabilities. water velocity correction, clock drift, node...

... p (0 ≤ p ≤ 2) norms can be implemented on different components of the regularization terms. We randomly sample the p-norm values multiple times, and generate a large number of models. Uncertainty can then be quantitatively analyzed by measuring the degree of variability in the recovered physical...

... in the artificial parameters, and shed light upon higher-level petrophysical intelligence toolkit). In the first step, we generate multiple questions such as spatial variations in kerogen maturity, trial models for expected ranges of variability of mineral water resistivity, or clay composition. We illustrate...

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