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The AAPG/Datapages Combined Publications Database
Showing 621 Results. Searched 200,293 documents.
Nonuniform dispersed source arrays for broadband seismic acquisition
Joaqun A. Acedo, Mauricio D. Sacchi
International Meeting for Applied Geoscience and Energy (IMAGE)
...-DSA data via the convolutional model and a source operator that plays the role of the restriction operator in CS (Candes, 2008). The latter contains...
2023
Seismic reflectivity inversion via a regularized deep image prior
Hongling Chen, Mauricio D. Sacchi, Jinghuai Gao
International Meeting for Applied Geoscience and Energy (IMAGE)
... assist in characterizing the subsurface. By adopting the stationary convolution model, seismic reο¬ectivity inversion is posed as a multichannel deblurring...
2022
Transfer Learning with Recurrent Neural Networks for Long-term Production Forecasting in Unconventional Reservoirs
Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
Unconventional Resources Technology Conference (URTEC)
..., and the corresponding well properties from multiple shale plays. The proposed RNN model can predict oil, water, and gas production as multivariate time-series under...
2021
Nonlinear time difference detection of seismic image based on image registration
Rongwei Xu, Huazhong Wang, Bo Feng, Chengliang Wu
International Meeting for Applied Geoscience and Energy (IMAGE)
... inversion starting model from wells with dynamic time warping and convolutional neural networks: Geophysics, 87, no. 2, R223βR230, doi: https://doi.org...
2024
Unsupervised machine learning for seismic facies classification using a 3D grid approach
David Manzano, Edgar Galvan, Dan Ferdinand Fernandez
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolutional neural networks (CNNs) to directly apply to 3D seismic volumes, providing better spatial awareness and automatic feature extraction based...
2024
Reliable uncertainty estimation for seismic interpretation with prediction switches
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... as a switch event at time t. Empirically, we ο¬nd that prediction switches approximate forgetting events well unless the domain shift is extremely large...
2022
3D GPR data mel-frequency cepstral coefficients features for effective CNN classification of urban utilities
Jide Nosakare Ogunbo, Sang Hun Baek, Sang-Wook Kim
International Meeting for Applied Geoscience and Energy (IMAGE)
... accurate results. Therefore, we propose an accurate real-time method for classifying cavity, box, manhole, patch, and pipe in an urban setting. 1D...
2024
Automatic low-order weak faults detection from carbonate reservoir based on deep learning and ant tracking
Han Wang, Xingwei Wu, Hanqing Wang, Jin Meng, Ji Chang, Tianrui Ye, Yujie Zhou, Dongwei Zhang, Yitian Xiao
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the improved convolutional neural network (3D attention-based U-Net) for low-order fault detection. (a) The model structure. (b) The structure...
2024
Enhancing Lithology Classification through a Deep Learning Framework
P. Zhang, T. Gao, R. Li
Unconventional Resources Technology Conference (URTEC)
..., S.; Al-AbdulJabbar, A.; Mahmoud, A.A. New robust model to estimate formation tops in real time using artificial neural networks (ANN). Petrophysics...
2025
Abstract: Deep Learning Inversion on Seismic Cubes; #91204 (2023)
Aleksandr Koriagin, Alexey Kozhevin, Stepan Goriachev, Roman Khudorozhkov
Search and Discovery.com
... show how one can perform inference on full seismic cubes using convolutional neural networks and specific prediction aggregation techniques...
2023
Evaluation of AI-enhanced processing for automated passive seismic detection and location
Aaron Booterbaugh, Evgeny Naumov
International Meeting for Applied Geoscience and Energy (IMAGE)
... arrays. We apply this model in near real-time on both single- and three-component seismometer data to generate probability time series which...
2024
What samples must seismic interpreters label for efficient machine learning?
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... resources AlRegib et al. (2018). At the core of successful machine learning algorithms, stands the mathematical model representation of data points...
2023
A prior regularized 3D full-waveform inversion using 2D generative diffusion models
Fu Wang, Tariq Alkhalifah, Xinquan Huang
International Meeting for Applied Geoscience and Energy (IMAGE)
... in observation, this inverse problem is highly ill-posed, especially for recovering a 3D velocity model. To solve this problem, regularization is often...
2024
Development of deep learning method for automatic seismic first break picking
Albert Farkhutdinov, Ruslan Malikov, Izat Shahsenov
International Meeting for Applied Geoscience and Energy (IMAGE)
... of this study open up promising potential for improving the accuracy of FBP outcome and significantly reducing processing time. Introduction One...
2024
Abstract: New Approach to Finite-Difference Memory Variables by Using Lagrangian Mechanics; #90187 (2014)
Wubing Deng and Igor Morozov
Search and Discovery.com
... heterogeneous media. The FD approach is especially suitable for modeling elastic seismic waves in the time domain. In the existing viscoelastic approach, FD...
2014
Bi-directional LSTM-based non-causal deconvolution
G. Roncoroni, I. Deiana, E. Forte, M. Pipan
International Meeting for Applied Geoscience and Energy (IMAGE)
... model. The model takes the convolved seismic traces as input and aims to predict the deconvolved time series derived from the summed Ricker wavelets...
2024
Implementation of frequency-dependent fault identification by convolutional neural networks with uncertainty analysis
Fan Jiang, Alejandro Jaramillo, Steve Angelovich, Phill Norlund, Julianna Toms
International Meeting for Applied Geoscience and Energy (IMAGE)
...-bandwidth ML model. Methods Extracting geologic features from seismic data is crucial but time-consuming work. Researchers have developed Second...
2022
ABSTRACT: Deep forest cover classification of consecutive landsat imageries over Borneo
Azalea Kamellia Abdullah, Mohd Nadzri Md Reba, Nur Efarina Jali, Sikula Magupin, Diana Anthony
Geological Society of Malaysia (GSM)
... routines among others. As a result, this requires massive time and considerable skills to achieve high accuracy mapping. Recent advancement by deep...
2021
Machine-learning based arrival-picking in continuous DAS recordings Β Application to the Utah FORGE EGS project
Nepomuk Boitz, William Tegtow, Serge Shapiro
International Meeting for Applied Geoscience and Energy (IMAGE)
...]. The model outputs are probabilities of P-, S-, and noise arrival for each time sample [5000 x 3] for the center of the 32 traces. During the compaction...
2024
Enhancing fiber-optic DAS microseismic event detection in imbalanced data using embedding space optimization
Min Jun Park, Hassan Almomin, Bob Clapp
International Meeting for Applied Geoscience and Energy (IMAGE)
... truth for our model. Data preprocessing involves several steps. First, we subtract the median across all DAS channels for each time sample to eliminate...
2024
OpenFWI 2.0: Benchmark Datasets for Elastic Full-waveform Inversion
Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin
International Meeting for Applied Geoscience and Energy (IMAGE)
... into the inversion significantly expands the model space and introduces increased degrees of freedom, resulting in even more pronounced nonlinearity (Operto et...
2023
Automatic detection of DAS-recorded microseismic fracture reflections
Youfang Liu, Ivan Lim, Chen Ning, Kurt Nihei
International Meeting for Applied Geoscience and Energy (IMAGE)
...). In addition to direct arrivals, reflections from hydraulic fractures can also be imaged from the time domain to the space domain and help...
2024
Abstract: Neural Networks Facilitate Precise at - Bit Formation Detection Suitable for Deployment in Automated Drilling Systems; #91204 (2023)
Lucas Katzmann, Stefan Wessling, Matthew Forshaw, Joern Koeneke
Search and Discovery.com
... with rapid transitions between low and high unconfined compressive (UCS) stress formations create both invisible-lost-time and non-productive-time. Both...
2023
Machine-learning Facilitates Prediction of Geomechanical Properties Directly From SEM Images in Unconventional Plays
Heehwan Yang, Deepak Devegowda, Mark Curtis, Chandra Rai
Unconventional Resources Technology Conference (URTEC)
...., 1995. Convolutional networks for images, speech, and time series. The handbook of brain theory and neural networks, 3361(10), p.1995. Li, X., Liu, Z...
2023
Seismic imaging uncertainty using deep learning predicted Greens functions
Han Liu, Anar Yusifov, Muhong Zhou, Linda Hodgson
International Meeting for Applied Geoscience and Energy (IMAGE)
... ( π π₯π₯ + π π§π§ ) + π( π₯, π§, π‘), where π π‘π‘ is the second order time derivative of pressure field, π£ is velocity model...
2022