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Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3899844
... is the large number of spatial sampling stations distributed uniformly as required by the Nyquist sampling. To overcome this challenge, we propose a new sampling strategy referred to as ergodic sampling theory. Ergodic sampling requires only a subset of samples but can obtain nearly the same information...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3900861
..., the constraint information of physical property and structure has been added in GMNet to obtain a reasonable result. The experimental results demonstrate that the proposed GMNet has obtained outstanding performance in the 3D joint inversion of gravity and magnetic. geologist artificial intelligence...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3901080
... gradient information, like the Gauss-Newton method, is only feasible with an accurate and fast method to calculate sensitivities, a critical and time-demanding task in inverse problems. Here, an efficient solution is discussed that generates accurate sensitivities using a 3D Vector Finite Element program...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3904192
... applied encompassed five main processes, where several types of seismic anisotropy attributes were estimated, and subsequently evaluated by comparing with fracture information at several well locations. Mismatch in some intervals was addressed by incorporating stress estimations, as well as seismic data...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3904696
... is automatically tuned to optimize the sampling efficiency. Furthermore, other than Hessian information, the posterior covariance matrix approximated using previous samples are used to propose a sample in the adaptive algorithm, which further improves the efficiency. The method is implemented with acoustic FWI...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3904704
... simulation applied geoscience kriging interpolation seismic waveform similarity information american association mcmc algorithm Geostatistical inversion method based on seismic waveform similarity Xuebin Ni, Jiajia Zhang*, Guangzhi Zhang, Baoli Wang, Ying Lin, Zhuofan Liu School of Geosciences,China...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3905013
..., ChatGPT is a powerful tool that can be used to quickly and effectively analyze text and extract meaningful information. geologist neural network china government asia government chatbot machine learning applied geoscience artificial intelligence geological subdiscipline keyword chatgpt...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3905663
... inversion figure 4 information Value of Elastic Full Wavefield Inversion in De-Risking Clastic Reservoirs in Presence of Noise Partha Routh*1, Soumya Nayak1, Jake Dorsett2, Kaushik Banerji2, Young Ho Cha1, Vijay Gottumukkula1, Gopal Palacharla1, Vikas Gudipati1, Ramesh (Neelsh) Neelamani1, Seth Conway1...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3905968
... resistivity information. By jointly inverting electromagnetic and seismic data, complementary information from both datasets is integrated, ameliorating the non-uniqueness issue and enhancing the accuracy and reliability of the inversion results. However, existing joint inversion techniques encounter hurdles...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3907380
... Marchenko multiples elimination (MME) is a data-driven scheme able to attenuate internal multiples of all orders without velocity information. However, in order to work effectively, it requires normalizing the amplitudes of the seismic data by an optimal global scale factor (SF). Experimentally...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3908217
... Uncertainty quantification (UQ) is important for geophysical inversion because it measures the confidence in the results and allows one to assess the value of information in data. However, the cost of accepted methods for UQ ranges from high to prohibitive and it is often difficult to estimate...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3908538
... acquisition exploration geophysicist energy 10 information expanded abstract zhang computational reconstruction Computational Geophysical Acquisition (CGA) as an enabler of geophysical solutions Mengli Zhang* and Yaoguo Li, Center for Gravity, Electrical, and Magnetic Studies (CGEM), Department...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911157
... parameters is tripled as compared to isotropic susceptibility inversion, increasing the non-uniqueness of the inverse problem. We show that if appropriate prior information is available, modeling demagnetization in terms of susceptibility can improve recovered models. We apply sparse inversion with bound...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911212
... information geological subdiscipline exploration geophysicist prediction energy 10 resolution enhancement society physic template workflow international firstly segnet applied geoscience segmentation spcgan Intelligent digital rock physics assisting quantitative seismic interpretation Zhiyu...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911245
... upstream oil & gas reservoir characterization prediction elimination reflection retrieval information international green dataset applied geoscience Marchenko redatuming and seismic interferometry based internal multiple prediction for salt structures Zhiwei Gu1*, Jianhua Geng1, Ru-Shan Wu2...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911335
...-correlation-based algorithms. To overcome this challenge, we propose a parameter-free deep learning-based approach. By training the network on a synthetic dataset with reliable ground-truth information, we enable it to learn the complex patterns necessary for accurate alignment of primaries in prestack...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911371
... geology reservoir geomechanics tomography information expanded abstract petroleum full waveform inversion jiajia zhang school east china applied geoscience resolution american association china university energy 10 Ultrasonic velocity tomography of rock sample Tian Xie*, Jiajia Zhang...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911408
... Reflection waveform inversion (RWI) is a well-known technique used to recover deep velocity models by utilizing reflection data. However, RWI is inherently an ill-posed inversion problem and incorporating prior information can help reduce the null space and improve the conditioning...

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