..., we carried out a seismic rock property modeling study using wells in our study area to determine the expected seismic response of the reservoir. This demonstrated that there is an optimal projection for both lithology and fluid separation, but this separation is difficult to detect seismically...

... the wide-tow source case studies acquired in recent years have made use of uniform multi-source and multi-streamer spreads (i.e., regular streamer and source separations), thus following the same industry standards as in marine seismic surveys with the typical narrow source configurations. However, uniform...

... and efficiency. The detector uses two 7×7-pixel plates to record the arrivals of moun particles; the size of each pixel is 5×5 cm 2 . The angular resolution can be adjusted by changing the plate separation. A smaller separation has a lower angular resolution of ray paths but can accumulate sufficient muon events...

... instabilities to ultimate fracture prediction, like data processing and NDE calculation. On this basis, a new workflow is established on a wavefield separation that aims to elevate waveform quality by suppressing undesired noises and reflections. Then NDE calculation is reformulated as an inversion problem...

... Ocean bottom node (OBN) seismic data processing commonly uses the combination of hydrophone (P) and vertical geophone (Z) components to separate upgoing and downgoing wavefields while attenuating ghosts and multiples. Because the vertical components are often contaminated by strong converted...

... with a revised earth model from full-waveform inversion the resulting image shows improvements in the subsalt section including clearer definition of the basement and subsalt targets. international separation inversion expanded abstract variation perturbation exploration geophysicist workflow...

... Simultaneous source acquisition significantly reduces the acquisition time and cost in comparison with conventional single source acquisition. However, the blended data require deblending to separate them into that equivalent of the single source wavefield. In this work, we devise a denoising...

... the reservoir is of sufficient magnitude to dominate any primaries from the deeper reservoir sequence. This also explains why previously deployed linear methods have failed. inversion wavefield porosity separation reservoir characterization exploration geophysicist energy 10 china international...

... figure 6 separation retrieval algorithm wavefield decomposition green prediction retrieve applied geoscience exploration geophysicist Marchenko focusing using convolutional neural networks Mert S. R. Kiraz* & Roel Snieder, Center for Wave Phenomena, Colorado School of Mines *kiraz@mines.edu...

... time. Firstly, we use synthetic waveforms from thousands of finite difference simulations as initial training dataset to train a deep-learning network which is modified from a network in speech separation. Then the trained model is used to predict the field data through an active learning strategy...

.... Earthquake migration can propagate across steps, indicating a transfer of deformation, but can be obstructed by others. Preliminary quantitative results show that whether a step transfers or blocks deformation depends on the separation between the bounding segments relative to the maximum magnitude...

.... However, the lithology separation is not evident according to the neutron log due to the overprediction of the porosity which makes inaccurate data clusters. Analysis on Young’s modulus gives information related to the rock stiffness in the reservoir unit. It shows an overall increasing trend of rock...

... to calculate subsurface fracture orientations which are used in S1P and S2P separation; and for shear wave splitting correction, a strategy that picking horizons on S1P and S2P stacked sections is adopted for obtaining the depth-variant time difference between fast- and slow-shear waves. And both synthetic...

... The continuous wavefields method allows the simultaneous operation of multiple sources in a seismic experiment and efficient separation of the wavefields emitted by different sources. This method provides significant improvements in source-side sampling both inline and crossline without penalty...

... the feasibility of applying deep-learning methods to attenuate rig noise within the EM telemetry signal band (1-25Hz) and separate the downhole tool source signal without incurring additional hardware costs. Successful architectures for seismic noise attenuation and speech source separation were evaluated...

... domain iteration reservoir characterization blending noise seg separation upstream oil & gas international norm regularized inversion deblending exploration geophysicist sparse inversion inversion acquisition american association Sub-L1 Norm Regularized Inversion Deblending in Local...

... Wave filed separation is a key step in vertical seismic profile (VSP) processing. Traditional methods are subject to prior assumptions and complex parameter settings, resulting in low precision and irrelevant interference information. We propose a specific convolutional neural networks (CNNs...

... to train a well-performing network. We apply the distribution analysis on P/S wave separation of Vertical Seismic Profiling (VSP) data, where we train a fully convolutional network to separate P- and S-waves simultaneously from a two-component synthetic shot gather. Then we utilize the trained network...

... unsupervised and supervised a seismic record into two meaningful components of signal deep learning approaches for seismic ground-roll attenuation. and ground-roll. The method relies on choosing the frequency The method consists of three components that have physical threshold to have a maximum separation...

... suppression reservoir characterization imaging condition boundary wavefield artifact separation Study on the image Artifact Suppression for the Seismic Data Containing both Primaries and Internal Multiples Yixuan Ding1, Zhina Li*1, Zhenchun Li1, Ning Qin2, Zilin He1, Gang Tan1, Sikai Peng1 1China...