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

... seismic trace Deep Seismic2Well Tie: A Physics-guided CNN approach to a classic geophysical work ow David Thanoon *, Janaki Vamaraju, Huihui Yang, Katy Wei, Antoine Vial Aussavy, Jie Chen; Royal Dutch Shell PLC SUMMARY Semi-automatic and automatic techniques for seismic-to-well- ties have been...

... inversion models are combined together to form a contains three steps. In the first step, under the assumption 2D elastic model. Typical inversion frameworks rely on a 1D that the adjacent seismic traces are related, we adopt the state forward model with each trace being inverted independently, equation...

... 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...

... 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...

... Station 2 Presentation Type: Poster convolutional recurrent neural network neural network sequence artificial intelligence dataset seismic facies recurrent neural network seismic trace seismic waveform deep learning interpreter rnn annual meeting operation reservoir characterization...

... 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 precision rate annual international meeting annual meeting dataset upstream oil & gas artificial intelligence algorithm reservoir characterization shot gather machine learning seismic trace seismic data sta lta seg international...

... 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...

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

...-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...

... 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 classification seismic facies upstream oil & gas seismic data facies classification time window seismic facies map entire work area seg international exposition seismic trace seismic...

... Location: Poster Station 10 Presentation Type: Poster seg international exposition resolution reservoir characterization seismic trace migration absorption bwh seismic data azimuth observation formula songliao basin bwh data northern songliao basin attenuation pre-stack time migration...

... 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...

... ABSTRACT This work develops a multi tone modeling for seismic data compression. First, seismic traces are described as multitone decaying sinusoidal waves superposition. Each sinusoidal wave is regarded as a model component and is represented by a set of distinct parameters. Secondly, a novel...

... ABSTRACT Seismic traces are missing due to limitations in acquisition conditions, bad sectors, etc., which seriously affects the quality of seismic dataset. Seismic data interpolation technology is an effective way to reconstruct missing seismic traces and improve the quality of seismic...

... continuity and stability of the decomposition results. However, the best atom searched by multichannel matching pursuit currently is just shared by lateral seismic traces at the same time slicers. The lack of directionality in multi-channel search strategies leads to irrationality in dealing with the seismic...

... wavelet deep learning inverse problem neural network gao machine learning artificial intelligence annual meeting seismic wavelet reflectivity reservoir characterization upstream oil & gas deep neural network daoyu chen high resolution inversion seismic trace us government Adler...

... ABSTRACT In this paper, we introduce a deep neural network method to solve the seismic inversion problem. After standard processing steps on acquired seismic data, the resulting low frequency seismic traces can be considered as filtered version of the earth’s high frequency reflectivity...