... government interpretation exploration geophysicist geology calibration s-wave application american association permeability geologist rock type geological subdiscipline p-wave international asia government seismic sedimentology impedance s-wave inversion society reservoir characterization...

... and ice lakes, which restrict the available angles for seismic inversion and absence of contrast within the reservoir and non-reservoir in acoustic impedance. The objective of this study was to identify hydrocarbon-rich reservoir intervals within the Torok formation at a well location...

... Group in King County has hydrocarbon potential, but distribution of carbonate facies has not yet been investigated. By combining a poststack model-based acoustic impedance, multiattributes and neural network procedures to predict velocity ratios (Vp/Vs ratios), I show that although Strawn Group...

... Seismic impedance inversion methods are widely used to obtain the impedance of reservoirs from seismic data. However, conventional inversion methods have many challenges to accurately estimate impedance of complex reservoirs. Deep learning has shown great potential in the field of seismic...

... We present a full waveform imaging method based on trueamplitude migration that inverts both velocity and impedance models. Within the context of full waveform inversion, our method first inverts the velocity model by exploiting travel time information, then inverts the impedance model...

...% reduction in standard deviation compared to the standard processing techniques. upstream oil & gas correction impedance american association vertical seismic profile quantitative improvement exploration geophysicist reservoir characterization enhancing conventional vsp data wavefield...

... This study uses a large3D seismic survey (1,200 km 2 ) and sparse well data to reveal the large-scale slope geometries of the Lower Wilcox in south-central Texas. A new workflow applies a tree-based machine learning algorithm to predict relative impedance, which is in turn used to map sand...

... reservoir characterization international applied geoscience nicolas desgoutte artificial intelligence elastic inversion american association deterministic inversion upstream oil & gas machine learning exploration geophysicist impedance energy 10 inversion stochastic inversion...

... seismic amplitude reservoir simulation impedance nayyer islam amplitude applied geoscience exploration geophysicist sim2seis workflow energy 10 inversion society matt le good seismic model international generating synthetic seismic robert chrisman A case study of generating synthetic...

... and fusion results are highly reliable, which verifies the feasibility of fine characterization of high-quality reservoirs in this area. artificial intelligence exploration geophysicist applied geoscience evaluation reservoir fusion waveform international upstream oil & gas impedance...

... in challenging areas. In this workflow, a low-frequency impedance derived from migration velocity is combined with a medium- to high-frequency pseudoimpedance volume derived from seismic. We apply the workflow on data from the Espírito Santos Basin, offshore Brazil, to evaluate two interpretation scenarios...

... workflow energy 10 ngboost impedance Traditional approaches for seismic characterization of source rocks use simple regressions between acoustic impedance and TOC (Total Organic Carbon) to calculate volumes of this property. In this pioneering work, we generate volumes of TOC and hydrogen index...

... in machine learning of acoustic impedance for seismic lithology. In this abstract, we give a summary of recent tests on the subject. A geologically realistic model is used to quantitively demonstrate the methods to reduce the bias. A field-data test is conducted to showcase the benefits. reservoir...

... energy 10 seismic model international american association acoustic impedance qingrong zhu baishali roy upstream oil & gas resolution impedance reflection coefficient regularization society artificial intelligence seismic resolution interpretation exploration geophysicist application...

... reconstruction. deep learning reservoir characterization international neural network machine learning ml-predicted impedance upstream oil & gas prediction impedance decoder exploration geophysicist inversion expanded abstract self-supervised seismic reconstruction abubakar applied...

... algorithm applied geoscience inversion deep fault-karst carbonate reservoir impedance fault-karst reservoir international As the seepage channels of surface atmospheric fresh water and deep hydrothermal fluid, the large-scale strike slip faults in Tarim basin are easy to form high-quality...

... We formulate the subsurface impedance estimation as a multi-parameter finite-frequency elastic full waveform inversion to obtain high-resolution subsurface impedance parameters used for quantitative interpretation and reservoir characterization. This is achieved by explaining the measured...

... in this area based on rock physical analysis. It is difficult to predict reservoir distribution by conventional seismic attribute and impedance inversion. At the same time, due to the limited resolution of middle and deep seismic data, identifying the boundary of lacustrine fan body and the superimposed...

... In 2008 Castagna et al. proposed the reflection coefficient inversion method, which can inverse the formation reflection coefficient directly by the seismic data. For the formation impedance which has no background trend we can use the trace integration of reflection coefficient to obtain...

... modeling impedance knowledge knowledge network seismic inversion energy 10 acoustic impedance shale fraction Intelligent static and dynamic reservoir model building based on Knowledge Networks Miguel Bosch*, Info Geosciences Technology and Services. Summary Subsurface model building is a process...