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The AAPG/Datapages Combined Publications Database
Showing 2,441 Results. Searched 200,616 documents.
Multiscale Geologic and Petrophysical Modeling of the Giant Hugoton Gas Field (Permian), Kansas and Oklahoma, U.S.A.
Martin K. Dubois, Alan P. Byrnes, Geoffrey C. Bohling, John H. Doveton
AAPG Special Volumes
... classes and the criteria for defining classes involved four standards: (1) maximum number of lithofacies recognizable by neural networks using...
2006
Deep learning Laplace-Fourier full-waveform inversion with virtual supershot gathers
Lei Fu, Daniele Colombo, Weichang Li, Ernesto Sandoval-Curiel, Ersan Turkoglu
International Meeting for Applied Geoscience and Energy (IMAGE)
...-driven deep learning solutions for problems of estimating subsurface properties. In the past several years, several encoder-decoder type networks have...
2022
Integrating the Tool Box
Jane Whaley
GEO ExPro Magazine
... the latest thinking in technology, computing, neural networks and intelligent search,” Jim adds. “For example, our link with Google means that we use...
2011
An unsupervised intelligent stacking velocity analysis based on clustering
Lide Wang, Xingrong Xu, Jie Wu, Huahui Zeng, Yundong Yong, Yanxiang Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... learning networks are applied to velocity picking. These supervised intelligent methods transform the velocity into a classification or normalization issues...
2024
The application of a new machine-learning paradigm based on pretraining and fine-tuning, StorSeismic, on field seismic data
Randy Harsuko, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
... physics-informed neural networks: arXiv preprint arXiv:2104.01588. Zhang, Y., X. Tian, X. Deng, and Y. Cao, 2010, Seismic denoising based on modified...
2022
Seismic Reservoir Characterization of the Bone Spring and Wolfcamp Formations in the Delaware Basin with Efforts at Quantitative Interpretation - A Case Study
Satinder Chopra, Ritesh Kumar Sharma, James Keay
Unconventional Resources Technology Conference (URTEC)
... between compressional and shear velocity may not be a straightforward linear one, other workers have demonstrated the use of artificial neural networks...
2019
Real-Time Data-Driven Framework for Rate of Penetration Optimization of S-Shaped Wells in a Southern Iraq Field Using Prior Knowledge
Ethar H. AlKamil, Atheer Alattar, Mahdi Karnot, Muntadhar Talib, Abdulla Mazin, Salam Taher
Unconventional Resources Technology Conference (URTEC)
... driven approach. 4 models were used to acquire the results, Support Vector Machines (SVM), Artificial Neural Networks (ANN), Random Forest, and XGboost...
2024
Methodology for Enhancing and Evaluating Geologic Effects of Time Series Models: A Case of Ground Response in Santa Clara Valley, California, #41097 (2012)
Olusola Samuel-Ojo, Lorne Olfman, Linda A. Reinen, Arjuna Flenner, David D. Oglesby, Gareth J. Funning
Search and Discovery.com
... Networks are Universal Approximators: Neural Networks, v. 2/5, p. 359-366. King, F.H., 1892, Observations and experiments on the fluctuations...
2012
Modeling and Optimization of Proppant Distributions in Multi-Cluster Hydraulic Fracture-Natural Fracture (HF-NF) Networks
Yidi Wu, George J. Moridis, Thomas A. Blasingame
Unconventional Resources Technology Conference (URTEC)
...Modeling and Optimization of Proppant Distributions in Multi-Cluster Hydraulic Fracture-Natural Fracture (HF-NF) Networks Yidi Wu, George J. Moridis...
2021
Reservoir prediction using graph-regularized deep learning
Kaiheng Sang, Nanying Lan, Fanchang Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
..., Deep neural networks to predict reservoir properties from seismic: 6th Geoconvention Annual Meeting. Duan, X. D., and J. Zhang, 2020, Multitrace first...
2022
Bayesian RockAVO: Direct petrophysical inversion with hierarchical conditional GANs
Miguel Corrales, Muhammad Izzatullah, Matteo Ravasi, Hussein Hoteit
International Meeting for Applied Geoscience and Energy (IMAGE)
... GAN is secretly an energy-based model and you should use discriminator driven latent sampling: Advances in Neural Information Processing Systems, 33...
2022
Active gamma-ray well logging pattern localization with reinforcement learning
Yuan Zi, Lei Fan, Xuqing Wu, Jiefu Chen, Shirui Wang, Zhu Han
International Meeting for Applied Geoscience and Energy (IMAGE)
..., and the critic, a Q value function mapping from state-action pair to Q value. Both models can be represented by using deep neural networks. The agent...
2022
Effectiveness of dip-in DAS observations for low-frequency strain and microseismic analysis: The CanDiD experiment
David W. Eaton, Yuanyuan Ma, Chaoyi Wang, Kelly MacDougall
International Meeting for Applied Geoscience and Energy (IMAGE)
...: Arrival-time picking method, based on classification using machine learning. learning approach. For event detection, we developed a convolutional neural...
2022
ML-based facies classification on acoustic image logs from Brazilian presalt region
Nan You, Yunyue Elita Li, Arthur Cheng
International Meeting for Applied Geoscience and Energy (IMAGE)
... of fractures and breakouts patterns in acoustic borehole image logs using fast-region convolutional neural networks: Journal of Petroleum Science...
2022
Machine learnings and lessons learned on improvements to Castagnas mudrock, Gardners density, and Fausts velocity estimation
David J. Emery, Marcelo Guarido, Brian Russell, Daniel Trad
International Meeting for Applied Geoscience and Energy (IMAGE)
... support vector machines, or SVM, (Adeniran 2019, Anemangely 2019, Liu 2021, Sebtosheikh 2015), neural networks (Iwuoha 2019, Rezaee 2008), both (Mehrad...
2022
Automation of passive seismic processing via machine learning and physics-informed methods
Ivan Lim Chen Ning, Laura Swafford, Mike Craven, Kevin Davies, Evan Earnest, Dean Thornton
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolutional and recurrent neural networks: Seismological Research Letters, 90, 1079–1087, doi: https://doi.org/10.1785/0220180319. Zhu, L., Z. Peng, J...
2022
Petrophysical Challenges in the Udang Reservoir, North Belut Field, South Natuna Sea
Yana Hendrayana, Bowo Pangarso, M. Agussalim Asaad
Indonesian Petroleum Association
... then be used to calculate permeability in average Udang formation. The example of rule number three is in Figure 11. Neural Networks (NN) is the newest method...
2012
Statistical Characterization and Geological Correlation of Wells Using Automatic Learning Gaussian Mixture Models
David, Lubo, Vikram Jayaram
Unconventional Resources Technology Conference (URTEC)
... to seismic attributes using neural networks and geostatistics are also well established. However, unsupervised classification ties where the objective...
2014
Seismic impedance estimation from poststack seismic data using quantum computing
Divakar Vashisth, Rodney Lessard
International Meeting for Applied Geoscience and Energy (IMAGE)
... to samples from the dataset used by Vashisth and Mukerji (2022) to demonstrate the efficacy of Rock- and WavePhysics-Informed Neural Networks (RW-PINN...
2024
Seismic facies segmentation via mask-assisted transformer
Jinlong Huo, Naihao Liu, Zhiguo Wang, Yang Yang, Yijie Zhang, Jinghuai Gao
International Meeting for Applied Geoscience and Energy (IMAGE)
... on the characteristics of seismic reflectors. The application of using convolutional neural networks (CNNs) in seismic facies segmentation is growing rapidly. However, CNN...
2024
Probabilistic gravity inversion constrained by complex prior structural and petrophysical information through a deep generative model: A synthetic study based on Limerick Basin, Ireland
Prithwijit Chakraborti, Jiajia Sun, Aline Melo
International Meeting for Applied Geoscience and Energy (IMAGE)
... geophysical inversion methods. Advanced generative neural networks such as the variational autoencoder (VAE) (Kingma and Welling, 2013) provide significant...
2024
Machine Learning Prediction for Fluid Identification in Kujung Formation East Java
Freddy Calvin Bryan, Violita Indrayani Putri, Ardian Nengkoda, Andy Noorsaman Sommeng, Sutrasno Kartohardjono
Indonesian Petroleum Association
... regression, SVM, KNN, Decision Tree (DT), and Artificial Neural Networks (ANN). The DT is a recursive partitioning approach known as the recursive...
2024
Joint Identification of Lithology and Lithofacies in Core Images Based on Deep Learning
Han Wang, Feifei Gou, Hanqing Wang, Shengjuan Cai
Unconventional Resources Technology Conference (URTEC)
... computational resources during model training. Additionally, it helps the neural network focus on learning the features of specific categories, improving...
2025
Permian Delaware Basin Productivity and Spacing Analysis and Technically Recoverable Resource Assessment
Sofia Berdysheva, Timothy McMahon, David Hoffman
Unconventional Resources Technology Conference (URTEC)
... Neural Networks. SPE Unconventional Resources Conference / Gas Technology Symposiu. doi:10.2118/164542-MS EIA. (2024). Drilling Productivity Report...
2025
Texture-Based Similarity Graph to Aid Seismic Interpretation, #70365 (2018).
Rodrigo S. Ferreira, Emilio Vital Brazil, Reinaldo Silva, Renato Cerqueira,
Search and Discovery.com
... (SOM) algorithm, a form of unsupervised neural networks, to reveal geological clusters and patterns in the attributes, possibly indicating sweet spots...
2018