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The AAPG/Datapages Combined Publications Database
Showing 622 Results. Searched 200,357 documents.
Data selection for velocity model estimation using a circular shot OBN survey
Felipe T. Costa, Sergio L. E. F. da Silva, Ammir A. Karsou, Felipe Capuzzo, Roger M. Moreira, Jorge Lopez, Marco Cetale
International Meeting for Applied Geoscience and Energy (IMAGE)
...Data selection for velocity model estimation using a circular shot OBN survey Felipe T. Costa, Sergio L. E. F. da Silva, Ammir A. Karsou, Felipe...
2023
Artificial intelligence techniques to the interpretation of geophysical measurements
Desmond FitzGerald
Petroleum Exploration Society of Australia (PESA)
... SUMMARY Integration of geology and geophysics thinking requires a common earth model, that accommodates, with errors, all the features from...
2019
DASF: A high-performance and scalable framework for large seismic datasets
Julio C. Faracco, Otávio O. Napoli, João Seródio, Carlos A. Astudillo, Leandro A. Villas, Edson Borin, Alan Souza, Daniel Miranda, João Paulo Navarro
International Meeting for Applied Geoscience and Energy (IMAGE)
..., the attribute to be calculated, the ML model to be trained or the waiting time in the HPC system’s queues. Finally, once the system finishes...
2024
From Chaos to Caves An Evolution of Seismic Karst Interpretation at the Vorwata Field
Riangguna Eloni, M.R. Husni Sahidu, Ilham Panggeleng, Christopher S. Birt, Ted Manning
Indonesian Petroleum Association
... trend that is missing in the seismic data (perhaps from well logs, or a regional velocity model). Both of these can be prone to error and require...
2016
Deep learning-based 3D microseismic event direct location using simultaneous surface and borehole data: An application to the Utah FORGE site
Yuanyuan Yang, Omar M. Saad, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
.... The proposed method has potent compatibility for embracing diverse datasets and a strong ability to model complex dynamics and interactions between...
2024
Outcrop to Subsurface Reservoir Characterization of the Mississippian Sycamore/Meramec Play in the SCOOP Area, Arbuckle Mountains, Oklahoma, USA
Benmadi Milad, Roger Slatt
Unconventional Resources Technology Conference (URTEC)
... of Devonian-Mississippian strata. (C) Lithological model of the Mississippian Sycamore-Meramec strata in the SCOOP area. Figure 2. Location of data...
2019
Comparative Algorithm Machine Learning Approaches for Predictive Analysis of Well Log Data: A Case Study in the Central Sumatra Basin
Nungga Saputra, Hafid Rizki Nur Rohman, Puspa Alifya, Patria Ufaira Aprina
Indonesian Petroleum Association
... of Long-Short Term Memory (LSTM) and Bi-LSTM. The evaluation of each algorithm model uses field data from the Central Sumatra Basin. Classification metrics...
2024
Deep-Learning-Based Prediction of Post-Fracturing Permeability Field for Development Strategy Optimization in Unconventional Reservoirs
Jiehao Wang, Yunhui Tan, Baosheng Liang, Xinhui Min, Chaoshun Hu, Chao Zhao, Yuyu Wang, Mike Li, Yuguang Chen, Gerardo Jimenez, Shahzad Khan
Unconventional Resources Technology Conference (URTEC)
... number of wells and geological scenarios. A deep-learning-based model (Artificial Learning Fracture, or ALF) was developed to accelerate the hydraulic...
2022
Precursory Detection of Casing Deformation and Induced Seismicity in Unconventional Reservoirs, via Real-Time Surface Pressure Data Analytics
Thomas de Boer, Matthew Adams, Andrew McMurray, Giovanni Grasselli
Unconventional Resources Technology Conference (URTEC)
... architecture, incorporating convolutional and transformer-based models, that identifies short-term anomalies and longterm geomechanical trends. Regional...
2025
Application of Machine Learning Methods to Assess Progressive Cavity Pumps (PCPs) Performance in Coal Seam Gas (CSG) Wells
Fahd Saghir, M. E. Gonzalez Perdomo, Peter Behrenbruch
Australian Petroleum Production & Exploration Association (APPEA) Journal
... of Convolutional Auto Encoders (CAE) and Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) methodologies to characterise...
2020
NATS on WATS seismic imaging, rock property modeling and interpretation using machine-learning techniques to inform reservoir quality and deliverability in the Gulf of Mexico
Peter Lanzarone, Shenghui Li, Kang Fu, Kenny Gullette, Jeff Thompson, Gabriel Ritter
International Meeting for Applied Geoscience and Energy (IMAGE)
... as training labels input into a convolutional neural network (CNN) (e.g., Chenin, et al., 2021), where seven in-lines and twelve crosslines were labelled...
2022
Reservoir prediction using graph-regularized deep learning
Kaiheng Sang, Nanying Lan, Fanchang Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
... of these explicit formulas are based on strong approximation to the underground media properties, such as convolution model, Aki-Richard approximate...
2022
Using Machine Learning for Geosteering During In-Seam Drilling
Ruizhi Zhong, Ray L. Johnson Jr, Zhongwei Chen
Unconventional Resources Technology Conference (URTEC)
... effectively distinguish coals from noncoal formations during in-seam drilling. The developed machine learning model has the potential to identify coals...
2021
Automated hyper-parameter optimization for deep learning framework to simulate boundary conditions for wave propagation
Harpreet Kaur, Sergey Fomel, Nam Pham
International Meeting for Applied Geoscience and Energy (IMAGE)
... framework to simulate the effect of boundary conditions for wave propagation. Hyper-parameter selection is a crucial step in model building and has...
2022
Physics-based preconditioned multidimensional deconvolution in the time domain
David Vargas, Ivan Vasconcelos, Matteo Ravasi, Nick Luiken
International Meeting for Applied Geoscience and Energy (IMAGE)
... model along with the MDD interacting quantities. Noise-contaminated Scattering Marchenko (b) Down- and (c) up-going gathers at receiver 75. (d) Noise...
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)
... originating from inaccuracies in the measurements, modeling errors, and complex geological processes. Moreover, the non-linearity of the rock-physics model...
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)
... series target as a reference. The proposed model follows a top-down search procedure, which starts by investigating the whole welllog record...
2022
2D isotropic and vertical transversely isotropic RTM using SEG Hess VTI Model
Richa Rastogi, Abhishek Srivastava, Monika Gawade, Nithu Mangalath, Laxmaiah Bathula, Bhushan Mahajan, Suhas Phadke
International Meeting for Applied Geoscience and Energy (IMAGE)
...2D isotropic and vertical transversely isotropic RTM using SEG Hess VTI Model Richa Rastogi, Abhishek Srivastava, Monika Gawade, Nithu Mangalath...
2022
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)
... the velocity model from seismic data organized in the virtual super gathers (VSG) in the Laplace-Fourier domain by deep learning network (DNN). The proposed new...
2022
Deep adversarial multiview clustering network for unsupervised seismic facies analysis
Hanpeng Cai, Xiuyi Zou, Yuting Zhao, Sheng Zhang, Tengyu Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Huang, and Y. Wang, 2021, The use of 3D convolutional autoencoder in fault and fracture network characterization: Geofluids, 2021, doi: https://doi.org...
2022
A data-feature-policy solution for multiscale geological-geophysical intelligent reservoir characterization
Wenhao Zheng, Fei Tian, Qingyun Di, Jiangyun Zhang, Hui Zhou, Wang Zhang, Zhongxing Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... on Deep Belief Network, the geological prediction model was established. It was optimized by a double-loop filtering mechanism that selected the parameter...
2022
Detailed petroleum system insights using deep learning: A case study from the Scarborough Gas Field, offshore Australia
Scotty Salamoff, Julian Chenin, Benjamin Lartigue, Nguyen Phan, Paul Endresen
International Meeting for Applied Geoscience and Energy (IMAGE)
... to B) the interactive deep learning method for handling patches. The deep learning architecture presented is based on a Convolutional Neural Network...
2022
Seismic super resolution method for enhancing stratigraphic interpretation
Chengbo Li, Qingrong Zhu, Baishali Roy
International Meeting for Applied Geoscience and Energy (IMAGE)
... 𝒎 and employ the convolutional model to illustrate the method. Assuming the wavelet is stationary within a given interval, the seismic can...
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)
... methods such as grid searching require considerable computational effort. They are also prone to errors like any other model-based method. Despite efforts...
2022
Recursive DIP for seismic random noise attenuation
Yun Zhang, Benfeng Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... method requires a large amount of training data. Convolutional Neural Networks (CNN) has strong prior characterization ability and profound...
2022