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The AAPG/Datapages Combined Publications Database

Showing 324 Results. Searched 195,354 documents.

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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

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

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