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The AAPG/Datapages Combined Publications Database
Showing 621 Results. Searched 200,293 documents.
Deterministic and Statistical Wavelet Processing
Lee Lu
Southeast Asia Petroleum Exploration Society (SEAPEX)
... on the convolutional model for a seismic trace: it is assumed that an observed trace, x, is the convolution of an “effective wavelet”, w, with an “effective reflectivity...
1980
Deep compressed learning for 3D seismic inversion
Maayan Gelboim, Amir Adler, Yen Sun, Mauricio Araya-Polo
International Meeting for Applied Geoscience and Energy (IMAGE)
... (sorted seismic records) to a 3D velocity model, implemented using a deep convolutional neural network (DCNN). The proposed method provides a solution...
2023
Accurate seismic data interpolation based on multiband intelligent training
Xueyi Sun, Benfeng Wang, Tongtong Mo
International Meeting for Applied Geoscience and Energy (IMAGE)
... information about subsurface structures and geological features. During the optimization of convolutional neural network (CNN)-assisted seismic data...
2023
Seismic inversion with implicit neural representations
Juan Romero, Wolfgang Heidrich, Nick Luiken, Matteo Ravasi
International Meeting for Applied Geoscience and Energy (IMAGE)
... be mathematically represented via the socalled convolutional model (Goupillaud, 1961). This entails the convolution of a source function or wavelet w...
2024
Deep learning-based joint inversion of time-lapse surface gravity and seismic data for monitoring of 3D CO2 plumes
Adrian Celaya, Mauricio Araya-Polo
International Meeting for Applied Geoscience and Energy (IMAGE)
... that measures the difference between the forward response of a given subsurface model and the observed data when the subsurface is directly stimulated...
2024
Noise suppression and compressive sensing recovery with seismic-adapted DnCNN within RED
Nasser Kazemi
International Meeting for Applied Geoscience and Energy (IMAGE)
..., applying natural-images-learned feedforward denoising convolutional neural networks (DnCNN) operator on seismic data does not provide satisfactory...
2024
Development and Application of a Real-Time Drilling State Classification Algorithm with Machine Learning
Yuxing Ben, Chris James, Dingzhou Cao
Unconventional Resources Technology Conference (URTEC)
... data. A rules-based model was then applied to classify the data into seventeen rig states. For the state “drilling”, a sub-classification was made...
2019
Seismic Forward Modeling of Semberah Fluvio-Deltaic Reservoir
Adi Widyantoro, Wahyu Dwijo Santoso
Indonesian Petroleum Association
... modeling at each UKM wells to understand lithology and fluid effects over amplitude variations, 3) conceptual 2D convolutional model to understand boundary...
2021
Vision-based Sedimentary Structure Identification of Core Images using Transfer Learning and Convolutional Neural Network Approach
Baosen Zhang, Shiwang Chen, Yitian Xiao, Laiming Zhang, Chengshan Wang
Unconventional Resources Technology Conference (URTEC)
...Vision-based Sedimentary Structure Identification of Core Images using Transfer Learning and Convolutional Neural Network Approach Baosen Zhang...
2021
Inference of Induced Fracture Geometries Using Fiber-Optic Distributed Strain Sensing in Hydraulic Fracture Test Site 2
Stephen Bourne, Kees Hindriks, Alexei A. Savitski, Gustavo A. Ugueto, Magdalena Wojtaszek
Unconventional Resources Technology Conference (URTEC)
... ℒ̇w = ℒ̇ij 𝑛 𝑖 𝑛 𝑗 , (9) The convolutional model for DSS, εw or ε̇ w, due to the proximal fracture aperture field, 𝑎, may then be wr...
2021
High-Resolution DFN Modeling via Seismic Attribute Integration in the Sichuan Basin for Completion Optimization
Xuefeng Yang, Shengxian Zhao, Dongchen Liu, Deliang Zhang, Lieyan Cao, Joseph Leines Artieda, Chuxi Liu, Wei Yu, Jijun Miao
Unconventional Resources Technology Conference (URTEC)
... discrete fracture network (DFN) model. The DFN captures both small- and large-scale geological discontinuities, providing critical insights for optimizing...
2025
Machine-Learning-Assisted Segmentation of FIB-SEM Images with Artifacts for Improved of Pore Space Characterization of Tight Reservoir Rocks
Andrey Kazak, Kirill Simonov, Victor Kulikov
Unconventional Resources Technology Conference (URTEC)
... on a convolutional neural network (CNN) in the DeepUnet configuration. The implementation utilized the Pytorch framework in a Linux environment...
2020
Embedding Physical Flow Functions into Deep Learning Predictive Models for Improved Production Forecasting
Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
Unconventional Resources Technology Conference (URTEC)
...trained model is composed of several fully-connected regression layers and one- URTeC 3702606 6 dimensional (1D) convolutional layers. A fully-co...
2022
Machine learning applications to seismic structural interpretation: Philosophy, progress, pitfalls, and potential
Kellen L. Gunderson, Zhao Zhang, Barton Payne, Shuxing Cheng, Ziyu Jiang, and Atlas Wang
AAPG Bulletin
... geometric invariance-enforced deep learning based on the Mask region-based convolutional neural network (R-CNN) model. Mask R-CNN is a deep learning model...
2022
Fault surface extraction based on computational topology
Cheng Zhou, Cun Yang, Ruoshui Zhou, Xingmiao Yao, Guangmin Hu
International Meeting for Applied Geoscience and Energy (IMAGE)
..., time range: 1.536s to 1.844s) to demonstrate the effectiveness of our method. We adopt a convolutional neural network method described in Zhou et al...
2022
Deep learning velocity model building using an ensemble regression approach
Stuart Farris, Guillaume Barnier, Robert Clapp
International Meeting for Applied Geoscience and Energy (IMAGE)
... framework that uses a convolutional neural network (CNN) to form an ensemble of low wavenumber model predictions which can be integrated to form...
2022
Leveraging self-supervised deep learning to address cross-talks in multi-parameter inversions
Wenlong Wang, Yulang Wu, Yanfei Wang, George A. McMechan
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Geological structures are typically analyzed using a multiparameter model (MPM). However, current methods such as multi-parameter full waveform...
2024
Applying Machine Learning Technologies in the Niobrara Formation, DJ Basin, to Quickly Produce an Integrated Structural and Stratigraphic Seismic Classification Volume Calibrated to Wells
Carolan Laudon, Jie Qi, Yin-Kai Wang
Unconventional Resources Technology Conference (URTEC)
... Detection Methodology Seismic amplitude is the basis for machine learning fault detection which uses deep learning Convolutional Neural Networks (CNNs...
2022
Improved UCR Development Decision Through Probabilistic Modeling with Convolutional Neural Network
Han Young Park, Yunhui Tan, Baosheng Liang, Yuguang Chen
Unconventional Resources Technology Conference (URTEC)
...Improved UCR Development Decision Through Probabilistic Modeling with Convolutional Neural Network Han Young Park, Yunhui Tan, Baosheng Liang...
2022
4D Finite Difference Forward Modeling within a Redefined Closed-Loop Seismic Reservoir Monitoring Workflow, #41922 (2016).
David Hill, Dominic Lowden, Sonika, Chris Koeninger
Search and Discovery.com
...-field coupled dynamic integrated earth model to surface. From which 3D grids of petro-elastic parameters for a range of reservoir simulations...
2016
Innovative disorder seismic attribute for reservoir characterization
Qiang Fu, Saleh Al-Dossary
International Meeting for Applied Geoscience and Energy (IMAGE)
... seismic attribute is a convolutional filtering based algorithm designed using an optimization approach. By design, the attribute is insensitive to faults...
2022
NLP applications in the oil and natural gas industry
Prashanth Pillai, Srikanth Ryali, Hiren Maniar, Purnaprajna Mangsuli, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
... of previous architectures such as long-shortterm-memory (LSTM) (Hochreiter et al., 1997) and convolutional neural network (CNN) (Krizhevsky et al...
2022
Bringing ML models into mainstream applications by enabling cloud platform connections
Rafael Pinto, Ilya Agurov, Roman Emreis, Iurii Koniaev-Gurchenko, Dmitrii Zolotukhin, Viktar Huleu, Evgeny Shulikin, Andrey Derevyanka, Pavel Shashkin, Maksim Krug, Ivan Grechikhin, Anton Petrov, Simon Shaw, Brian Macy, Chengbo Li, Chuck Mosher, Anand Malgi
International Meeting for Applied Geoscience and Energy (IMAGE)
..., the publication comes with a code repository, a trained model, and a license facilitating its incorporation into mainstream applications. However, the vast...
2022
VSP Guided Reprocessing and Inversion of Surface Seismic Data
R. Gir, Dominique Pajot, Serge Des Ligneris
Southeast Asia Petroleum Exploration Society (SEAPEX)
... seismic data is known as the “convolutional model of the seismogram”. This model states that after proper data processing, the final seismic data has...
1988
Lithology and Fluid Seismic Determination for the Acae Area, Puerto Colon Oil Field, Colombia
F. H. Gómez, J. P. Castagna
Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)
... of matching model reflectivity from well logs to that contained in the seismic data; * Attribute analysis to predict petrophysical properties from seismic...
2004