... independently, and add a 1D total variation (TV) regularization along the crossline direction to effectively suppress the inconsistency between inline profiles. The numerical experiments on the Overthrust model demonstrate the effectiveness of our method, especially compared to using 3D TV penalty...

...-to-noise ratio. neural network geologist seismic model machine learning artificial intelligence impedance impedance inversion exploration geophysicist inversion seismic impedance inversion linear optimization algorithm geology reservoir characterization seismic data experiment...

... and field experiments show that the proposed has a remarkable reconstruction performance with high efficiency. geology artificial intelligence convolution layer deep learning reservoir characterization convolution reconstruction machine learning fast self-supervised learning applied...

.... geologist reservoir characterization exploration geophysicist time-lapse seismic data geology machine learning american association co 2 neural network transformer encoder anomaly experiment artificial intelligence applied geoscience & energy 10 monitor trace synthetic experiment...

... experiments, using the acoustic emission data obtained from actual monitoring and the corresponding CT scanning data of the real fracture condition. The final results show that the proposed method has a good identification effect on the main fracture, and the identification results are in good agreement...

... & energy 10 geophysics experiment ieee transaction Active sampling design for seismic data based on dynamic matching distance Yingjie Xu*, Siwei Yu, Harbin Institute of Technology Summary Seismic data acquisition and reconstruction based on compressed sensing can enhance exploration efficiency...

... estimation workflow guided by triaxial fracture experiments. Firstly, according to a good BI indicator from triaxial fracture experiments, we choose a more suitable estimation method between elastic properties and mineral contents. Then, we use the selected BI as output, velocities and density as input...

... the performance of elastic full waveform inversion, which can estimate high-resolution subsurface models for elastic media from observed seismic data, for different wrapping angles of helical fiber in seafloor-deployed DAS. We show the results of numerical experiments to discuss this point. geologist...

... parallel environment reservoir characterization chet derivative frequency-domain viscoelastic fwi numerical experiment geologist geological subdiscipline applied geoscience & energy 10 exploration geophysicist media geology experiment equation american association 3D frequency-domain...

... the degree of processing steps the data may have to go through. Current study shows the effect of near offset data and variation of velocity gradient in seismic modeling for shallow subsurface investigation using full waveform inversion. This paper presents three experiments to show the relation between...

... A hybrid workflow based on multiscale 3D imaging of cores, combined with limited experimental data sets (phi-K, Pc-MICP) has been developed to determine the distribution of porosity and permeability as input for a 3D numerical model at mm scale grid resolution. Porosity and permeability data...

...-domain inversion scheme accounting for both PP and PS illumination effects. We implement the approach in the context of Kirchhoff depth migration and demonstrate its effectiveness in handling PS illumination effects with a controlled synthetic experiment. geology geological subdiscipline...

... different experiments, we computed the mean of the models from each experimental group and compared them with the base model (Figure 4). Our analysis indicated that the major discrepancies were primarily located in the shallow areas surrounding the OBN positions. Nevertheless, it is worth noting...

... is demonstrated over a realistic seismic and CO 2 plume dataset pertaining to the Frio-II (Texas, USA) field experiments. Results show DDPM successfully captures the evolution of CO 2 plumes. The superior generative abilities of DDPM allow for accurate predictions of CO 2 saturation and estimating prediction...

.... These properties include density, friction, elasticity, size, and shape. Several experiment scenario has been implemented in this research by using combination of particle shape dan friction. This research meant to show the effect of those two parameters in affecting the final result. structural geology...

... with time is less popular (Jourde et al., 2015). The aim of the experiment was to test muography to assess the risk of rock falls from the top of the Maïdo rampart (La Réunion Island) without intervening in the zone of instability. The primary objective of this experiment was to establish a 3D map...

... Knowing the intrinsic elastic anisotropy properties of the reservoir rocks in enhanced geothermal systems is important in stress field inversion and accurate determination of induced microseismic events. Here, we perform lab experiments to measure P- and S-wave velocities to determine...

... exploration geophysicist applied geoscience jonathan ajo-franklin ajo-franklin caprock perturbation cassm injection experiment international port society diffusion american association rice university Active-seismic monitoring of pore pressure changes in an analog reservoir Tanner Shadoan...

... the infiltration experiment. Experimental setup and procedure This study was carried out during the Terrestrial Ecosystem Manipulation to Probe the Effects of Storm Treatments (TEMPEST) experiment. The experiment simulated hydrologic disturbance from intense rainfall and storm Third International Meeting...

... dataset workflow experiment Invertible neural network for automatic velocity model building and uncertainty quantification Yen Sun1*, Junzhu Shen1,2 and Paul Williamson3 1TotalEnergies E&P Research & Technology USA, 2Department of Geosciences, Penn State University, 3TotalEnergies OneTech R&D France...