... Recent work using stress inversions has emphasized the lack of stability of stress inversions from earthquakes with fault planes of limited diversity. We explore this question using data recorded over an enhanced monitoring array and address how we can answer questions on stability. We show...

... The widespread applications of artificial neural networks in computational science have drawn deep concerns to their vulnerability to small perturbations. Artificial neural networks are also widely applied to solving various geophysical problems, which should also suffer from the stability issue...

... parameters, the azimuthal elastic impedance (EI) equation of monoclinic medium is further deduced, which is a function of Young’s modulus, Poisson’s ratio, density, fracture quasi-weaknesses, and quasi- Thomsen parameters. Finally, a stepwise inversion strategy for enhancing the stability of multi-parameter...

.... geology wavefield exploration geophysicist international geologist asia government simulation american association diffraction society effectiveness upstream oil & gas china government interpolation modeling wavefield modeling reflection wavefield snapshot topography stability...

... stability seg international exposition detection circuit borehole gravity requirement borehole gravity meter displacement exploration geophysicist 10 capacitive displacement mem upstream oil & gas gravity sensor probe intrinsic frequency MEMS based vector borehole gravity meter...

...-Krook LBM (BGK-LBM) owing to its adjustable free relaxation parameters (FRPs) in the case of low kinematic shear viscosity (low-KSV). Here acoustic wave propagation is simulated by BGK-LBM and MRTLBM with different FRPs in the case of low-KSV to display the superior stability of MRT-LBM. Meanwhile, how...

... propose a rock-physics inversion method based on first-order difference regularization to improve the stability. For analysis, the petrophysical relationships based on the Xu-White framework is established. Then, we introduce a first-order difference regularization constraints into the objective function...

... and interpretation. To estimate Q, frequency shift (FS) method is considered to be an effective method. The most commonly used FS methods are centroid frequency shift (CFS) method and peak frequency shift (PFS) method. The centroid frequency has the advantage of stability but the assumption that the seismic spectrum...

... in forecasting the fractures of the reservoirs. Layered formation with aligned vertical or near-vertical fractures is often described with orthogonal anisotropic media as a popular hypothesis for the formation. However, more parameters in parameterizing the conventional OA media renders the poor stability...

...: Poster gravity detection circuit seg international exposition borehole gravimeter processing technique mem gravity sensor stability requirement resolution diameter intrinsic frequency gravity measurement instrument displacement upstream oil & gas accuracy capacitive...

... spurious reflections in high-angle incidence case, and have a bit better absorption effect and stability in the long time simulation. Presentation Date: Wednesday, September 18, 2019 Session Start Time: 1:50 PM Presentation Start Time: 3:55 PM Location: 304A Presentation Type: Oral solid phase...

... Station 18 Presentation Type: Poster efficiency accuracy old method 2 variable-length spatial operator operator stability upstream oil & gas spatial operator equation liu constrain reservoir characterization new method old method 1 modeling acoustic wave equation seg...

... is utilized to sample the posterior probability distributions. Besides, the low frequency regularization and nonlinear bounding constraint strategy are introduced into the proposed method, which can enhance the stability of prestack EVA inversion and overcome the unrealistic solutions of elastic parameters...

... well log reservoir characterization machine learning inversion result s-wave velocity information inversion method reflectivity bayesian theory low-frequency model noise inversion annual meeting seismic data stability artificial intelligence avo multi-trace group sparse inversion...

... – N24 , 10.1190/geo2011-0214.1 . stability machine learning inversion result inversion method p-and s-wave moduli zoeppritz equation seg international exposition artificial intelligence accuracy bayesian inference reservoir characterization objective function information equation...

... classification are used to test the reliability of all amplitude attributes in Petrel, and the primary selection of the amplitude attributes is completed. Then the stability of the primary selected attributes is tested by using the synthetic 3D data with random noise. Sum of amplitudes, Mean amplitude...

... probability can be a powerful tool to enhance both the resulting accuracy and stability of reservoir modelling. Numeric experiment shows the details. Presentation Date: Tuesday, September 26, 2017 Start Time: 3:30 PM Location: 350D Presentation Type: ORAL seismic data well log probability...

... ABSTRACT The difficulty of prestack three parameter inversion is the stability of inversion and the uniqueness of the results. In order to solve this problem, there are many ways have been tried, in addition to discard density terms. According to Bayesian probability theory, It is an ideal...

... into ‘white data’ through two linear transformations. The improved method allows using L1 norm as regularization term including the correlation information. Therefore, we use the L1 norm as the regularization term and add the wave impedance constraint term in the objective function to increase the stability...

... as to alleviate the multi solutions and thereby obtain relatively high accuracy and stability, meanwhile, guaranteeing the spatial continuity among traces. The new approach is achieved in frequency-domain through minimizing a three-term cost function: a derived data misfit term that fit to the inverted band...