... exxonmobil technology company geologist trace pair exploration geophysicist acquisition reservoir characterization trace count american association seismic repeatability auxiliary survey helgerud seismic trace primary survey workflow nrm Enhancing 4D seismic repeatability by utilizing more...

... intelligence reconstruction american association geology seismic data exploration geophysicist harbin institute seismic trace reservoir characterization dtw distance acquisition similarity algorithm reconstruction result triangular region geologist machine learning applied geoscience...

... & energy 10 seismic profile geologist reservoir characterization shallow water environment case study exploration geophysicist seismic trace american association receiver ghost A case study of broadband processing in extremely shallow water environment of Bohai Bay Jiangbo Huang*, Xinyi Duan...

... well log deep learning machine learning algorithm workflow dataset applied geoscience & energy 10 log curve seismic trace resolution enhancement seismic image reservoir characterization resolution enhancement seismic image resolution enhancement american association pseudo well log...

... intelligence antoine vial aussavy iteration synthetic trace neural network seismic data workflow algorithm machine learning deep learning convolutional model seismic trace density log applied geoscience wavelet exploration geophysicist 10 poor quality scenario deep seismic2well tie velocity...

... geoscience machine learning upstream oil & gas bayesian linear avo inversion aikf poor observation condition exploration geophysicist 10 reservoir characterization constraint inversion result inversion elastic parameter lateral constraint inversion system avo inversion seismic trace noise...

... in the seismic trace gets severely reduced. The basis pursuit inversion (BPI) scheme has been widely used to address this problem. This technique increases the bandwidth of the seismic data and resolves thin reflectors very efficiently. However, the application of BPI in a complex geological situation requires...

... artificial intelligence seismic response phase gather amplitude reservoir prediction applied geoscience information phase component strong reflection separation reservoir reflection separation method seismic trace Strong reflection separation based on seismic phase decomposition and its...

... We find that a sparse-pulse decomposition of seismic images provides accurate means to estimate the seismic source waveform. The corresponding spectral character allows us to estimate the quality factor Q to quantify seismic attenuation using the spectral ratio method. Tests on seismic trace...

... present to tie a synthetic seismogram and a seismic trace proceeds by adjusting simultaneously the wavelet phase and the velocity log. The velocity log is perturbed smoothly using a function defined by monotonic cubic splines, while the wavelet phase is assumed to be an unknown constant. We solve...

... Presentation Type: Poster validation data zhang dataset sta lta neural network training data upstream oil & gas algorithm shot gather precision rate annual international meeting seismic data geophysics sta lta method machine learning seismic trace first-break picking annual meeting...

... networks algorithms have been solving similar human-intensive and time-consuming problems with increasing speed and accuracy. In this paper, we propose a novel method to detect possible DHIs on seismic data applying a Long Short-Term Memory (LSTM) neural network on the seismic trace scale. To test our...

...-supervised framework for acoustic impedance inversion based on convolutional and recurrent neural networks. Specifically, seismic traces and acoustic impedance traces are modeled as time series. Then, a neural-network-based inversion model comprising convolutional and recurrent neural layers is used...

... Location: Poster Station 5 Presentation Type: Poster seg international exposition spatial reasoning upstream oil & gas log analysis seismic trace volcanic rock volcanic reservoir artificial intelligence contribution slice reservoir characterization coefficient inversion deep-thin...

... and unconformities. The process of seismic horizon interpretation segment the seismic traces into different parts and we consider the horizon interpretation as an image segmentation problem by treating each seismic trace as a 1D image. We propose a novel semi-automated seismic horizon interpretation method using...

...: Poster seismic facies interpretation deep learning artificial intelligence stratigraphic slice time window classification seismic trace annual meeting reservoir characterization neural network seismic facies upstream oil & gas seismic data facies classification seismic facies...

... seismic traces can be created including only reflection coefficients within certain amplitude ranges. Large inverted reflection coefficients can be removed and the residual reinverted, thereby stabilizing inversions for the remaining weak events. By this reflectivity decomposition, subtle impedance...

... Location: Poster Station 10 Presentation Type: Poster seg international exposition resolution reservoir characterization seismic trace absorption bwh seismic data azimuth observation formula songliao basin geophysics processing technology accuracy migration northern songliao basin...

... intelligence upstream oil & gas deep neural network daoyu chen field data estimation seg international exposition jiaotong university machine learning reflectivity reservoir characterization us government annual meeting seismic wavelet wavelet seismic trace high resolution inversion...

... Station 2 Presentation Type: Poster convolutional recurrent neural network neural network sequence artificial intelligence seismic facies seismic trace dataset annual meeting upstream oil & gas seg international exposition machine learning rnn recurrent neural network seismic...