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Keywords: algorithm
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Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583114
.... We test the algorithm on a real microseismic data set in a Montney reservoir. The results show that the proposed method can automatically detect potential microseismic events with an increased precision rate and works well with noisy data. Note: This paper was accepted into the Technical Program...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594610
.... Improving the signal-to-noise ratio of seismic data is the primary task of seismic data processing. In practical research, many algorithms for suppressing random noise interference are proposed. In order to achieve better seismic data denoising technology, this paper introduces a new algorithm: fast K-SVD...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583419
... method based on dictionary learning is proposed to marine CSEM denoising procedure. Firstly, the segments suffering little from noises are captured as training set. Then the learned dictionary is constructed from the training set via K-singular value decomposition (K-SVD) algorithm. Lastly, the learned...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3589725
... of targeted signal processing technologies were integrated into a de-noising library to automatically separate interference. We tested the above framework and algorithms based on 10000 simulated and 5000 practical data points. The identification accuracy of the four kinds of noise was 97%∼99...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583063
... algorithm label noise reservoir characterization upstream oil & gas automated adaptive subtraction driven workflow AUTOMATCH: A Fully Automated Adaptive Subtraction Driven by Artificial Intelligence Jingbo Liu*, Pandu Devarakota, Christian Sutton, Shuzhen Ye, and Paul Webster, shell...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3581927
... depth at well control points. However, maps are rarely tied to the orientation information measured in piercing wells due to the absence of upscaling guidelines. This study presents a new algorithm based on the 2D cubic spline interpolation for automatically integrating subsurface structural maps...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3582711
..., automatic and accurate picking of dispersion curves can significant enhance the efficiency for surface wave prospecting. This paper presents an approach based on unsupervised learning algorithms to achieve automatic picking of surface wave dispersion curves of the fundamental mode. With this method, K-means...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3582957
... oil & gas applied geoscience geophysics sparse-spike deconvolution artificial intelligence seismic data deconvolution algorithm reflectivity model wavelet velis reservoir characterization resolution synthetic data example frequency enhancement bandwidth reflectivity Borehole...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3581920
... for component reconstruction according to each component’s characteristics, and superimposes these reconstruction data to obtain the final results. In this paper, we propose a new dictionary combination of Shearlet and DCT under the MCA framework and use the BCR algorithm to get the optimal solution to obtain...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3582812
... data and the field data have been used to testify the effectiveness of the proposed method. upstream oil & gas applied geoscience diffraction derangement algorithm ballastless track reinforcement mesh reflection event singular value exploration geophysicist 10 gpr model reservoir...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3582984
...; it produced lower misfits between the measured and the modeled velocities and therefore can be considered more representative for estimating saturation. We show the discrepancy of the two models to highlight the data quality issues. We present our analysis of several supervised learning algorithms to produce...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583227
... solution template reservoir surveillance upstream oil & gas affine transformation detection workflow lfda data keypoint algorithm image patch descriptor exploration geophysicist 10 fracture proceedings workflow jorge nuste andrade Automatic fracture hit detection in low-frequency...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583101
... Stochastic methods for seismic inversion problems for the estimation of rock and fluid properties are commonly adopted in reservoir characterization studies. Among the numerous algorithms, Markov chain Monte Carlo (McMC) methods represent a family of algorithms for the estimation...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583321
... & gas stencil reservoir characterization computation fast marching method hooke tensor artificial intelligence mirebeau arrival time algorithm métivier numerical method anisotropy elastic wave equation sethian media Numerical method for the computation of rst arrival time of seismic...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583430
... nonuniform sample algorithm reservoir characterization applied geoscience alias effect analysis comparation imaging quality imaging quality turn upstream oil & gas calculation receiver interval data reconstruction migration stack data quality nonuniform migration imaging exploration...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583403
... Misfit functions based on differentiable dynamic time warping (DTW) have demonstrated an excellent performance in various sequence-related tasks. We introduce this concept in the context of waveform inversion and discuss a fast algorithm to calculate the first and second derivatives...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583072
... using a Bayesian framework. The proposed approach accelerates the interpretation process by reducing the need for human intervention, and also lessens individual biases that an interpreter may bring. We demonstrate the effectiveness of the proposed algorithm by testing on field data examples, and show...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583460
... the relationship between earth-model-based gradients and measurement-based gradients, we develop a multi-objective optimization algorithm for training the network. Numerical experiments show that the proposed algorithm could handle the high sensitivity cases, and converge on a better solution with the performance...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3584072
... estimation vector algorithm louboutin matrix estimation herrmann artificial intelligence computational overhead wavefield exploration geophysicist 10 van leeuwen trace estimation gradient Ultra-low memory seismic inversion with randomized trace estimation Mathias Louboutin1, Felix J...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583890
...-forward neural network neural network training set exploration geophysicist 10 traveltime computation artificial intelligence hypocenter determination neuron traveltime prediction source-receiver position computation algorithm traveltime Traveltime computation using a supervised learning...

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