... of the Brazilian federation. The present work has two main goals for this location. The first goal is to compare different potential fields inversion techniques for the basement relief recovery with a geologic model from the basement obtained from well data for performance comparison. The second is understanding...

... Basin and petroleum system modeling is an important process to understand and validate petroleum concepts. Traditionally, the models are constructed, calibrated, and examined manually. This can be time-consuming as the number of parameters used in these models and their associated uncertainties...

... This work presents a quantitative study of sedimentary facies and architecture of deep burial ancient carbonate systems based on forward stratigraphic modeling using iDRSCarbSIMS, a simulator for both hydrodynamic-based and diffusion-based forward stratigraphic modeling. Forward stratigraphic...

... conditions are implemented using the Mac-Cormack finite differential formats to the independent wavefield variables determined by the matrix forms of these conditions. The numerical solutions of various models are compared with analytical and spectral element solutions to validate the proposed method...

... geology artificial intelligence geologist rock type machine learning modeling asia government reservoir characterization geobody segmentation geobody identification inversion exploration geophysicist applied geoscience resolution american association upstream oil & gas china...

... basin, we combine laboratory measurement and rock physical modeling to jointly characterize the elastic and anisotropic properties. Velocities of four shale samples with different porosity and kerogen content are measured under changing pressure conditions. The relationships between its elastic...

... develop a stochastic inversion algorithm to characterize hydraulic fracture dimensions and quantify the associated uncertainties using cross-well distributed fiber-optic strain measurements. Strain modeling is accomplished by employing a 3D displacement discontinuity method based geomechanical model...

... One of the major challenges in deep learning inversion is the insufficient number of well logs, which leads to a scarcity of labels that adequately capture the vertical lithology patterns and lateral variations within geological formations. Forward modeling after well log interpolation is one...

... The subsurface model discretization truncates the irregular free surface to the nearest integer points and forms a “staircase-like” boundary in conventional finite-difference wavefield simulations (Lombard and Piraux, 2004). As a result, it will introduce travel-time errors into all surface...

... Distinguishing the difference between subsurface pressure’s gradient and slope of the formation fluid’s data is essential for reservoir’s characteristic evaluation and pore pressure prediction modeling. The pressure genesis in the subsurface due either to compaction or compartmentalized...

... Wave-equation-based seismic modeling and migration such as reverse-time migration (RTM) commonly ignore the effects of reflectivity caused by velocity and density. The ignorance could lead to inaccurate wavefield extrapolation. To include the effects for seismic modeling and migration...

... accuracy resolution axis modeling ga reservoir We proposes a decoupled orthotropic anisotropy modeling method. The residual curvature of the azimuthal imaging gathers from orthotropic migration is used to update the TTI anisotropic parameters at each azimuth, and elliptical fitting is used...

... upstream oil & gas artificial intelligence geologist geology reservoir characterization united states government machine learning salinity inversion international estimation equation millero modeling exploration geophysicist lateral resolution society china sea optimization...

... geology geological subdiscipline upstream oil & gas united states government deeper reservoir american association applied geoscience clastic rock rock type exploration geophysicist energy 10 condensate society compositional gradient modeling updip polarity convention sedimentary rock...

... accuracy differential equation international applied geoscience snapshot american association attenuation propagation visco-acoustic equation modeling wavefield seismic modeling Fast viscoacoustic forward modeling method based on U-net Fourier Neural Operator Wenbin Tian*1, Yang Liu*1,2 1...

... Considering that the rock-physics modeling process of multiattribute combination can reduce the uncertainty in reservoir characterization, increasingly importance has been attached to the method based on joint elastic-electrical modeling. Research based on laboratory measurements have shown...

... with few wells have a rapid lateral change, and it’s difficult to predict high quality reservoirs. The fan body characterization technology based on data-driven 3D isochronous sequence body modeling is used to quickly and accurately identify and implement the three-stage fan body in the large fan delta...

... Self-demagnetization effects complicate the interpretation of magnetic data for highly susceptible targets by altering both the magnitude and direction of the resultant total magnetization. While magnetic vector inversion (MVI) can model selfdemagnetization effects, the number of model...

... interference stratigraphy middle east contamination expanded abstract boundary modeling Thin-layering succession of shale-carbonate alternating on a gentle structure setting creates a perfect environment for contamination of various orders of strong and complex internal multiples directly...

... on rock permeability. Similarly, as grain size decreases, permeability tends to decrease because smaller grains can pack more tightly together, reducing pore diameter and restricting fluid flow. This study aims to model tortuosity and grain size to achieve practical solutions for permeability estimation...