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The AAPG/Datapages Combined Publications Database
Showing 624 Results. Searched 200,599 documents.
Seismic random noise attenuation via enhanced similarity self-supervised learning
Jiale Wang, Naihao Liu, Yihuai Lou, Jinghuai Gao
International Meeting for Applied Geoscience and Energy (IMAGE)
... the requirement of noise-free labels, we propose an enhanced similarity self-supervised learning (ESSL) model by effectively utilizing the self-similarity...
2022
Operator chains and seismic data decomposition
Sergey Fomel
International Meeting for Applied Geoscience and Energy (IMAGE)
... using a chain of elementary operations, such as convolutions (as in convolutional neural networks or CNNs) and activation functions, such as the recti...
2022
Volumetric supervised contrastive learning for seismic semantic segmentation
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... an encoder network with a supervised contrastive loss (Khosla et al., 2020). Effectively this means that the model is trained to learn to associate...
2022
Impact of an Integrated Seismic Data Processing Approach: A Case Study in Central Sumatra
Mars E. Semaan, Eddy Murhantoro, Maryanto, Achmad Bermawi, Budi Subianto, Hari Santoso
Indonesian Petroleum Association
... traces are the result of convolving a wavelet with a reflection coefficient series, as defined by the convolutional model. Given a seismic trace...
1992
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
Probabilistic seismic interpolation with the implicit prior of a deep denoiser
Matteo Ravasi
International Meeting for Applied Geoscience and Energy (IMAGE)
... velocity model that mimics the Volve field (see Ravasi et al. (2022) for more details on the data creation process). Second, we consider the Volve field...
2023
Fault MLReal: A fault delineation study for the Decatur CO2 field data using neural network predicted passive seismic locations
Hanchen Wang, Yinpeng Chen, Tariq Alkhalifah, Youzuo Lin
International Meeting for Applied Geoscience and Energy (IMAGE)
... and performance of Convolutional Neural Networks (CNN). Considering we have labeled training data, referred to in domain adaptation circles...
2023
Seismic reservoir characterization of the Strawn Group, northern part of the Eastern Shelf, King County, North-Central Texas: Case study
Osareni C. Ogiesoba
International Meeting for Applied Geoscience and Energy (IMAGE)
... > 15 Hz are filtered out. The inversion process is based on the convolutional model expressed as Using the same procedure, I predicted the Vp/Vs...
2023
A denoising diffusion probabilistic modeling (DDPM) approach for predicting CO2 plume evolution from seismic shot gathers
Alexander Y. Sun, Zi Xian Leong, Tieyuan Zhu
International Meeting for Applied Geoscience and Energy (IMAGE)
... for seismic inversion of CO2 saturation. Specifically, the denoising diffusion probabilistic model (DDPM), which is a type of probabilistic deep...
2023
Pyseis: A high-performance, user-friendly Python package for GPU-accelerated seismic modeling and subsurface imaging
Stuart Farris, Guillaume Barnier, Ettore Biondi, Robert Clapp
International Meeting for Applied Geoscience and Energy (IMAGE)
..., from elastic FWI and FWI by Model Extension to machine learning applications in seismic inversion. pyseis serves as a versatile and efficient tool...
2023
Perceptual quality-based model training under annotator label uncertainty
Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
...Perceptual quality-based model training under annotator label uncertainty Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib Perceptual quality-based...
2023
First arrival enhancement by statics preserving filtering using surface-consistent constraints
Alejandro Quiaro, Mauricio D. Sacchi
International Meeting for Applied Geoscience and Energy (IMAGE)
... initialize the workflow assuming zero initial static. We explore the advantages of building an initial time shift model by maximizing cross-correlations...
2023
Neural network-based seismic data conditioning: Case study of engineering seismic survey data
Juan Lee, Yongchae Cho
International Meeting for Applied Geoscience and Energy (IMAGE)
... to generate training data of varying sizes. These data are then employed to construct an artificial neural network model. To address limitations...
2024
Optimal control of geological carbon storage using multi-physical monitoring and deep reinforcement learning
Kyubo Noh, Andrei Swidinsky
International Meeting for Applied Geoscience and Energy (IMAGE)
... constant injection strategies, especially given uncertainty in the permeability model; 2) a multi-physical monitoring approach enhances this policy...
2024
Analysis of the Elastic Impedance Inversion and Lamda Mu Rho to Identify the Distribution of Sandstone Reservoirs and Hydrocarbon Fluids in the Jogging Field, Northwest Java Basin
Akbar Dwi Wahyono, Mualimin, Sudarmaji
Indonesian Petroleum Association
...(t) in terms of expansion : k K r t xt k ø k t k 1 where x(t) is the segment of the input trace that follows the convolutional model...
2015
Prediction of porosity in CO2 sequestration tight reservoirs based on multi-source and multi-scale data fusion
Ping Lu, Peixue Jiang, Ruina Xu, Huaqing Xue, Haojie Li, Lei Yu, Jiashu Han
International Meeting for Applied Geoscience and Energy (IMAGE)
... it difficult for the reservoir porosity model to simultaneously consider prediction accuracy and generalization performance. Therefore, this study focuses...
2024
Multi-conditional seismic velocity synthesis using an autoregressive transformer network
Randy Harsuko, Shijun Cheng, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
... in a generative model. These stored velocity model distributions can be utilized to regularize inverse problems, like full waveform inversion. However, most...
2024
Research on first break picking based on deep learning for DAS-VSP data
Naijian Wang, Yinpo Xu, Yuxin Hou, Yingjie Pan, Mingxing Wang, Chun Zhang, Tianfu Yang
International Meeting for Applied Geoscience and Energy (IMAGE)
... of whole zone are covered; thirdly, the U-Net network is improved by adjusting the model hierarchy, optimizing the incentive function and adding batch...
2024
GAN based data enhancement for first arrival picking on both onshore and offshore seismic data
Ding Jicai, Wei Yanwen, Wang Yichuan, Sun Wenbo, Wang Jianhua
International Meeting for Applied Geoscience and Energy (IMAGE)
... be studied from three perspectives: data, models, and algorithms (Wang et al., 2020; Ding et al., 2024). Among the three perspectives of data, model...
2024
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, R223–R230, doi: https://doi.org...
2024
Seismic image resolution enhancement with limited-well datasets using deep learning
Son Phan, Haibin Di, Wenyi Hu, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
... seismic single-channel deconvolution via convolutional sparse coding model: IEEE Geoscience and Remote Sensing Letters, 17, no. 8, 1415–1419. Yuan...
2024
Automated velocity modeling with domain transformations
Kevin Gullikson, Arnab Dhara, Ram Tuvi, Mrinal K. Sen
International Meeting for Applied Geoscience and Energy (IMAGE)
... a machine learning model that effectively learns to predict a velocity model of the subsurface directly from trace data. We do this by first transforming...
2024
Machine assisted drillhole interpretation of iron ore resource evaluation holes in the Pilbara
Daniel Wedge, Owen Hartley, Andrew McMickan, Eun-Jung Holden, Thomas Green
Petroleum Exploration Society of Australia (PESA)
... each drillhole. A 3D geological model can be created by identifying corresponding stratigraphic boundaries within multiple drillholes. These models...
2019
Enhancing seismic image resolution using Brownian diffusion bridge model
Bingbing Sun, Abdulmoshen M. Ali, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
...Enhancing seismic image resolution using Brownian diffusion bridge model Bingbing Sun, Abdulmoshen M. Ali, Tariq Alkhalifah Enhancing seismic image...
2024
Improving pre-stack inter-trace variation extraction with a self-supervised learning approach
Yifeng Fei, Xin He, Bangli Zou, Jiandong Liang, Dajun Li
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Notable examples include utilizing a geological and geophysical model-driven convolutional neural network (CNN) for the extraction of elastic parameter...
2024