... With the development of intelligent inversion technology, deep learning method has been successfully applied in geophysical inversion. Unlike the traditional neural network, this study uses the U-Net structure based on fully convolutional networks (FCN) to invert the physical properties...

... geophysicist 10 reservoir characterization conductor three-dimensional electrical structure upstream oil & gas taqian-zhuxi copper-tungsten polymetallic deposit inversion deep conductor copper-tungsten polymetallic deposit paleozoic carbonate polymetallic deposit metals & mining zhuxi...

... Carbonate reservoirs have complex pore structures, which significantly alter the elastic properties and seismic responses, and affect the accuracy of physical parameter estimations. However, the existing rock-physics inversion methods are mainly used for clastic rocks, and their objectivities...

... with logging data and the seismic reflection characteristics of main target strata Chang 7 member, and then provides detailed description of the thickness and distribution of tight oil reservoirs by using the geostatistical inversion, waveform classification, multi-attributes fusion technologies. The seismic...

... frequency extension technology to obtain seismic data with high-resolution and high-fidelity, which effectively improves the quality of seismic data. Furthermore, pre-stack frequency division inversion technology is applied to acquire high-resolution sandstone probability bodies, which can describe...

... Aiming at the need of exploration targets of shale reservoirs which are highly heterogeneous vertically and horizontally, we have improved the prestack waveform inversion method by assuming a locally horizontal structure for every common mid/conversion point location to depict the spatial...

... Comparing the conventional prestack AVO inversion based on least square strategy, the prestack basic pursuit inversion can obtain the blocky elastic parameters which suit to reduce the ambiguity in interpretation. But the traditional prestack basic pursuit inversion doesn’t obtain stable S-wave...

... 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...

... The conventional reflection coefficient inversion assumes that the seismic wavelet is time-invariant, but due to the influence of factors such as stratum absorption and attenuation, the actual seismic wavelet will change when it propagates in the underground medium. If the time-varying nature...

... of reservoir in the target area, through the innovation of seismic inversion method, a stochastic simulation inversion method based on configuration modeling is proposed, which improves the reservoir prediction accuracy under the condition of Paleogene sparse drilling. Through the characterization of reservoir...

... Full waveform inversion (FWI) can be applied to time-lapse (4D) seismic data for subsurface reservoir monitoring. However, it mainly relies on far-offset diving waves to estimate large-scale (low-wavenumber) variations of velocity structures, and thus may not penetrate deeper reservoirs...

...-waveform inversion (FWI) aims to produce high-resolution physical models by iteratively matching modeled with recorded data considering the dynamics and kinematics of waveforms. Even though viscous attenuation plays a major role in seismic wave propagation, attenuation and absorption effects are commonly...

... Conventional Full Waveform Inversion (FWI) produces high-resolution model updates from diving wave energy in recorded seismic data. However, the penetration depth of refraction energy is limited by the maximum recorded offset and the Earth’s velocity field, so we rely on reflected energy...

... Accurate source estimation is an important component in full waveform inversion (FWI). A conventional approach to determine the signature employs transfer function estimation between the observed and modelled data. Depending on the scenario, this might lead to a biased signature due to lacking...

... and an improved seismic image. Enforcing the structure constraint through the cross-gradient approach allowed the inversion to converge fast. upstream oil & gas history matching applied geoscience fghi exploration geophysicist 10 reservoir characterization inversion 0#$12234524#$1& 00)&12)030/0...

... coal measure csg reservoir bandanna coal fracture open fracture origin energy summary inversion jurassic walloon coal measure well logging complex reservoir coal exploration geophysicist 10 permeability seismic applications anisotropy The challenges and successes of seismic...

.... Compared with the results of full wave inversion (FWI), our method not only has the high resolution, but also the high calculation efficiency. reservoir characterization upstream oil & gas u-net neural network applied geoscience artificial intelligence seismic data fwi exploration...

... & gas gravity data geometry density model applied geoscience joint inversion reservoir characterization log 10 horizontal derivative geophysics inversion equation coincident geometrical coordinate iteration gradient data density geometry exploration geophysicist 10 gramian constraint...

... projects run the full spectrum from acquisition through processing to inversion for reservoir properties in a rock physics context. With a small, experienced team and a proven set of workflows, we are able to run our projects and achieve very high quality results faster and at a much lower cost than could...

... inversion yellow shade subsurface property neural network applied geoscience expanded abstract acoustic impedance magenta abubakar backward ml model Validating the goodness-of-fit of machine learning models through backward models Tao Zhao*, Bhuvaneswari Sankaranarayanan, Haibin Di, and Aria...