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The AAPG/Datapages Combined Publications Database
Showing 324 Results. Searched 195,354 documents.
Abstract: Fault System Delineation Driven by New Technology in Tazhong Karsted Carbonate Reservoirs; #91204 (2023)
Yanming Tong, Xingliang Deng, Chuan Wu, Shiti Cui, Pin Yang, Chunguang Shen, Gaige Wang, Jiangyong Wu, Chenqing Tan
Search and Discovery.com
..., i.e. Radon domain signal and resolution enhancement, Time-domain amplitude balancing and Frequency-domain lowfrequency balancing. From the raw...
2023
Fracture-cavity carbonate reservoir identification based on channel attention mechanisms
Liuxin Yang, Yongqiang Ma, Guangxiao Deng, Zhen Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolutional neural networks and channel attention mechanisms. We use seismic data and low-frequency impedance data to generate inputs of training...
2023
Abstracts: Full Waveform Inversion Using One-way Migration and Well Calibration; #90173 (2015)
Gary F. Margrave, Robert J. Ferguson, and Chad M. Hogan
Search and Discovery.com
...: GEOPHYSICS, 44, 3-26. Pratt, R. G., 1999, Seismic waveform inversion in the frequency domain, Part I: Theory and verification in a physical scale model...
2015
Unsupervised deep learning for seismic data reconstruction
Gui Chen, Yang Liu, Mi Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
... (RSVD) and projection onto convex sets (POCS) algorithms iteratively to reconstruct each frequency slice of the incomplete data in the f-x domain...
2023
Convolutional neural networks as an aid to biostratigraphy and micropaleontology: a test on late Paleozoic microfossils
Rafael Pires De Lima, Katie F. Welch, James E. Barrick, Kurt J. Marfurt, Roger Burkhalter, Murphy Cassel, Gerilyn S. Soreghan
PALAIOS
...) Inception V3 CNN architecture reached a 3.5% top-5 error (frequency in which the model cannot predict the correct class as one of the top five most...
2020
Joint data and physics model driven full-waveform inversion using CMP gathers and well-logging data
Shuliang Wu, Jianhua Geng
International Meeting for Applied Geoscience and Energy (IMAGE)
... can get more accurate and stable inversion result in the situation of lacking low-frequency data and bad initial model. Introduction Velocity model...
2023
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
Abstracts: Revisiting Homomorphic Wavelet Estimation and Phase Unwrapping; #90173 (2015)
Roberto H. Herrera and Mirko van der Baan
Search and Discovery.com
.... The convolutional operator is denoted by and η (t ) is the additive noise. In the frequency domain equation (1) can be expressed as: = W ( f ) R( f ) + Ν...
2015
S/N RATIO AND BANDWIDTH CONSIDERATIONS WHEN UTILIZING SEISMIC DATA IN EXPLORING FOR SUBTLE TRAPS - EXAMPLES FROM THE KNOX PLAY
Edward R. Tegland, Exploration Development, Inc., S. Pikes Peak Dr., Parker, CO Patrick H. Bygott, Exploration Development, Inc., S. Pikes Peak Dr., Parker, CO
Ohio Geological Society
.... What is bandwidth? Bandwidth is the difference between the highest and lowest measurable frequency present in the data...
1999
Facies Classification Based on Well Logs by Using an Convolutional Neural Network
Search and Discovery.com
N/A
Demultiple for Wide-Tow Broadband Acquisition in a Shallow Water Environment: A Case Study from the NW Shelf, Australia
Mike Hartley, Shuo Ji, Alex Browne
Petroleum Exploration Society of Australia (PESA)
... in shallow water, especially for outer cables. Rcvr depth(m) Shot: channel Frequency(Hz) Time (sec) Model base water-layer demultiple predicts...
2016
Predicting Facies, Rock, and Geomechanical Properties Using Convolutional Neural Networks: A Case Study From an Unconventional Shale Reservoir
Ted Holden, Ruth Kurian, Mohammed Ibrahim, Daniel Hampson, Jonathan Downton
Unconventional Resources Technology Conference (URTEC)
...) Synthetic angle gathers are then generated for each pseudo-well using a convolutional model in which the P-wave reflection coefficients calculated using...
2023
What samples must seismic interpreters label for efficient machine learning?
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... resources AlRegib et al. (2018). At the core of successful machine learning algorithms, stands the mathematical model representation of data points...
2023
Abstract: CO2 Distribution Prediction Using Machine Learning Based Proxy Model in Geological Carbon Sequestration;
Zhi Zhong, Alexander Sun
Search and Discovery.com
... knowledge and assumptions on input data distributions. In particular, our cDC-GAN model is designed to learn cross-domain mappings between high...
Unknown
U-net based primary alignment
Ricard Durall, Ammar Ghanim, Norman Ettrich
International Meeting for Applied Geoscience and Energy (IMAGE)
... processing workflows. Misalignments are mainly caused by inaccuracies in the velocity model. Traditional approaches to event flattening typically involve...
2023
Abstract: Deterministic Marine Deghosting: Tutorial and Recent Advances; #90224 (2015)
Mike J. Perz and Hassan Masoomzadeh
Search and Discovery.com
... is minimum phase. We can easily express this operator in the frequency domain as (2) 𝐺(𝑤) = 1 − 𝑟𝑒 𝑖𝑤𝑡 𝑑 , and its minimum phase inverse as: 1...
2015
Anti-aliasing seismic data interpolation by dip-informed self-supervised learning
Shirui Wang, Xuqing Wu, Jiefu Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
... high-frequency seismic components become entwined with their low-frequency counterparts, creating artifacts that hinder subsequent processing...
2023
Improved Resolution of Thin Turbiditic Sands in Offshore Sabah with Bandwidth Extension A Pilot Study (Paper C11)
G. Yu, N. Shah, M. Robinson, N. H. Nghi, A. A. Nurhono, G. S. Thu
Geological Society of Malaysia (GSM)
... by a convolutional-like process in the CWT domain as illustrated in Figure 2. This effectively reshapes the wavelet and broadens the spectrum. Any...
2012
First arrival enhancement by statics preserving filtering using surface-consistent constraints
Alejandro Quiaro, Mauricio D. Sacchi
International Meeting for Applied Geoscience and Energy (IMAGE)
... model, we are considering the effect of T, as applying a time shift 't"sr = -r(s)+-r(r) +noise on the otherwise predictable signal. In the frequency...
2023
Seismic Forward Modeling of Semberah Fluvio-Deltaic Reservoir
Adi Widyantoro, Wahyu Dwijo Santoso
Indonesian Petroleum Association
..., or a convolutional process between the seismic waveform and a Gaussian function, has been applied to the rotated seismic lines in order to reduce high-frequency...
2021
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
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)
... drilling analytics system is automatic rig state detection. High frequency time series data (typically one data point per second) from multiple sensors...
2019
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
Abstract: 3-D Volumetric Interpretation with Computational Stratigraphy Models
Lisa Goggin, Tao Sun, Maisha Amaru, Ashley Harris, Anne Dutranois, Andrew Madof
Houston Geological Society Bulletin
... of a fluvially-dominated delta was created. The depositional model is converted into seismic volumes of various frequencies (1D convolutional approach...
2017
ABSTRACT: Maximum Likelihood Deconvolution: a New Perspective, by Jerry M. Mendel; #91035 (2010)
Search and Discovery.com
2010