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The AAPG/Datapages Combined Publications Database
Showing 622 Results. Searched 200,357 documents.
Robust localized adaptive waveform inversion: A new regularization for Gabor deconvolution
Peng Yong, Romain Brossier, Ludovic Mtivier
International Meeting for Applied Geoscience and Energy (IMAGE)
... and calculated data. Different from AWI which is based on a stationary convolutional model, LAWI can take the non-stationarity nature of seismic data...
2022
Facies-induced bias in machine learning-enhanced seismic lithology (inversion)
Hongliu Zeng, Bo Zhang, Mariana Olariu
International Meeting for Applied Geoscience and Energy (IMAGE)
... tests on the subject. A geologically realistic model is used to quantitively demonstrate the methods to reduce the bias. A field-data test...
2022
Time-lapse seismic joint inversion based on Zoeppritz equation in depth domain
Wenjin Li, Jingye Li, Lei Han, Zhen Liao
International Meeting for Applied Geoscience and Energy (IMAGE)
... records can be represented by convolutional models as： d = W * r , where, W represents time-domain seismic wavelets， thus the depth migration can...
2024
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
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
Strong Foundations, Deep Integration, Infinite Possibilities
James Lowell, Peter Szafian, Nicola Tessen
GEO ExPro Magazine
... years and is effective for building a conceptual model of the geology and QC’ing the individual faults and overall interpretation whilst picking...
2019
Estimation of anisotropic parameters from semblance picking using dynamic programming
Hong Liang, Houzhu (James) Zhang, Dongliang Zhang, Hongwei Liu, Xu Ji
International Meeting for Applied Geoscience and Energy (IMAGE)
... and anisotropic parameters from the semblance panels. We apply the automatic model building workflow to synthetic and field data examples to demonstrate...
2022
A robust approach for shear log predictions using deep learning on big data sets from a carbonate reservoir for integrated reservoir characterization projects
Aun Al Ghaithi
International Meeting for Applied Geoscience and Energy (IMAGE)
... reservoir. The trained model was then used to predict shear logs in wells drilled previously without acquired shear log data. Deep learning provided added...
2022
Seismic fault proximity to production
Jesse Lomask, Toby Burrough, Allison Gilmore, Michael Pyrcz
International Meeting for Applied Geoscience and Energy (IMAGE)
... learning can be utilized to learn and model the relationships between well performance, proximity to faults and the various associated fault attributes...
2022
Abstract: New Approach to Finite-Difference Memory Variables by Using Lagrangian Mechanics; #90187 (2014)
Wubing Deng and Igor Morozov
Search and Discovery.com
... to memory variables, based on Lagrangian description of the rheological model called the Generalized Standard Linear Solid (GSLS). This approach allows...
2014
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
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
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)
...-consuming and has poor noise immunity, requiring an initial model given by manual. With the development of machine learning technology, the deep...
2024
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
Machine learning and explainable AI for predicting missing well log data with uncertainty analysis: A case study in the Norwegian North Sea
Sushil Acharya, Karl Fabian
International Meeting for Applied Geoscience and Energy (IMAGE)
..., followed by PCR and PLSR. Linear regression provides a baseline model for predicting DTC logs. PCR and PLSR are utilized to explore the potential...
2024
Unlocking the Potential of Unlabeled Data in Building Deep Learning Model for Dynamometer Cards Classification
Ramdhan Wibawa, Rosyadi Rosyadi, Maulirany Nancy, Muhammad Awqi Gibran, Supriono Hariyadi
Indonesian Petroleum Association
... for building a Convolutional Neural Network (CNN) model using state of the art Self-Supervised Learning (SSL). The need to identify moretypes of failure has been...
2024
What Broke? Microseismic analysis using seismic derived rock properties and structural attributes in the Eagle Ford play
Robert Meek, Bailo Suliman, Robert Hull, Hector Bello, Doug Portis
Unconventional Resources Technology Conference (URTEC)
... regression analysis technique. Rock properties and structural attributes are combined with an ellipsoid stimulation model around the well bore...
2013
Fast self-supervised learning for reconstruction of 3D seismic data
Yinshuo Li, Wenkai Lu, We Cao
International Meeting for Applied Geoscience and Energy (IMAGE)
... extractor, and a skip connection. The global waveform extractor consists of real fast Fourier transform, complex convolutional layer, complex PReLU...
2024
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
Background noise suppression for DAS-VSP data using attention-based deep image prior
Yang Cui, Umair bin Waheed, Yangkang Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
... recovery in DAS data. Yang et al. (2023a) proposed a fully convolutional framework for extracting hidden signals and attenuating diverse noise in DAS data...
2024
Prestack Seismic Data Inversion for Shale Gas Reservoir Characterization in China
Gang Yu, Yusheng Zhang, Ximing Wang, Xing Liang, Uwe Strecker, Maggie Smith
Unconventional Resources Technology Conference (URTEC)
...) the model is parallel vertical cracks (Thomsen, 1988). P waves travel with different velocities depending on their travel path with respect...
2016
Generating geophysical models from text for constructing the dataset of learning-based MT inversion
Yutong Li, Hongyu Zhou, Rui Guo, Maokun Li, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
... of text embedding is the bag-of-words model, where each extracted key point is quantized into one of the visual words, and each image is represented...
2023
Abstract: A Deep Learning Saturation Imaging Framework to Optimize Reservoir Contact While Drilling; #91204 (2023)
Abdallah AlShehri, Klemens Katterbauer, Ali AlYouesf
Search and Discovery.com
... framework for the optimization of hydrocarbon contact while drilling. The framework utilizes a deep learning convolutional imaging framework in order...
2023
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
Hydraulic fracture-hit detection system using low-frequency DAS data
Xiaoyu Zhu, Ge Jin, Richard Hammack
International Meeting for Applied Geoscience and Energy (IMAGE)
... detection convolutional neural network to detect fracture hits in real-time, as trained on synthetic datasets and successfully transferred to field data...
2022