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The AAPG/Datapages Combined Publications Database
Showing 8,907 Results. Searched 200,357 documents.
Time-lapse seismic at 29,000: What can we learn?
Jan Stammeijer, Pieter Cornelisse, Christy Gautre, Patricia Yu, Juan Jimenez, Paul Hatchell
International Meeting for Applied Geoscience and Energy (IMAGE)
... is characterized as near-critical retrograde gas condensate with a strong compositional gradient. The downdip hardening signal is interpreted as aquifer rise...
2023
CSEM monitoring of CO2 storage with wellbores as antennas
Simone Zonetti, Amir Ghaderi, Madeline Lee, Peder Eliasson, Antony Price, David Andreis
International Meeting for Applied Geoscience and Energy (IMAGE)
... in a Controlled Source Electromagnetics (CSEM) survey. We perform simulations with the Finite Element Method (FEM), testing the sensitivity of the signal...
2024
A practical approach to automate end-to-end multi-stage iterative source separation with prior framework using machine learning
Rajiv Kumar, Yousif Izzeldin Kamil Amin, Riccardo Giro, Sunil Manikani, Nam Pham, Massimiliano Vassallo, Phillip Bilsby, Tao Zhao
International Meeting for Applied Geoscience and Energy (IMAGE)
... efficiently identifies patches of low and high signal-to-noise ratio. This enables the automated determination of optimal thresholding values while preserving...
2024
Seismic speckle as multiplicative noise explaining land reflections distorted by near-surface scattering
Andrey Bakulin, Dmitry Neklyudov, Ilya Silvestrov
International Meeting for Applied Geoscience and Energy (IMAGE)
... confirming seismic speckle and also numerically demonstrate how local stacking can recover the accurate phase of the undistorted signal on synthetic data...
2022
Deep learning to maximize the value of fast-track 4D seismic processing
Arnab Dhara, Haron Abdel-Raziq, Denis Kiyashchenko, Asiya Kudarova, Janaki Vamaraju, Albena Mateeva, Pandu Devarakota, Kanglin Wang, Jorge Lopez
International Meeting for Applied Geoscience and Energy (IMAGE)
... insights and to inform possible actions related to well operations and field development. However, the signal fidelity of fast-track processing...
2022
Historic Fracture Design Evaluation Made Easy: Automating Pumping Schedule Recognition from Hydraulic Fracturing Time-Series Data
Jessica Iriarte, Sam Hoda
Unconventional Resources Technology Conference (URTEC)
..., and flush) by smoothing, normalizing, and then “rounding” the proppant concentration signal. The procedure then isolates sustained intervals...
2020
A Big Fan of Signals? Exploring Autogenic and Allogenic Process and Product In a Numerical Stratigraphic Forward Model of Submarine-Fan Development
Peter M. Burgess, Isabella Masiero, Stephan C. Toby, Robert A. Duller
Journal of Sedimentary Research (SEPM)
... Peter M. Burgess, Isabella Masiero, Stephan C. Toby, Robert A. Duller 2019 1 12 Vol. 89 (2019) No. 1. (January) Distinguishing an allogenic signal...
2019
Amplitude Recovery of Digitally Recorded Data
Roy O. Lindseth
Pacific Section of AAPG
... a signal which is a unique representation of the sedimentary section at that point. The desired information is superimposed on a transient response system...
1972
A more automated footprint removal for full-waveform inversion
David F. Halliday, James Xu, Soumya Roy
International Meeting for Applied Geoscience and Energy (IMAGE)
... reconstruction of the footprint, treating the footprint as a sparse signal to be reconstructed. To prevent signal leakage (e.g., due to blurring...
2024
Seismic signal considerations for fast reservoir characterization
Folkert Hindriks
International Meeting for Applied Geoscience and Energy (IMAGE)
...Seismic signal considerations for fast reservoir characterization Folkert Hindriks Seismic signal considerations for fast reservoir characterization...
2024
Abstract: Time-Frequency Representation of Microseismic Signals using the Synchrosqueezing Transform; #90187 (2014)
Roberto H. Herrera, Jean-Baptiste Tary, and Mirko van der Baan
Search and Discovery.com
... to microseismic signals and also show its potential to general seismic signal processing applications. Introduction Traditional time frequency...
2014
Havent I Seen That Somewhere Before?
David Sagi, Simon Campbell, Peter Webb
GEO ExPro Magazine
... in seismic sections as seaward-dipping reflectors. Figure 1: The Iberian continental margin. a) Analytic signal of total magnetic intensity. b...
2016
Multichannel compressive sensing for seismic data reconstruction using joint sparsity
Iga Pawelec, Michael Wakin, Paul Sava
International Meeting for Applied Geoscience and Energy (IMAGE)
..., acquiring non-aliased seismic data at high signal-to-noise ratio remains a challenge. Areas with restricted access, difficult terrain, and slow velocities...
2022
Abstract: Prestack Rank-Reduction-Based Noise Suppression: Practise; #90171 (2013)
Lynn Burroughs and Stewart Trickett
Search and Discovery.com
... ideal for performing prestack noise suppression. Here we show how to apply these methods in practise to improve signal-to-noise and prepare data...
2013
Abstract: Prestack Rank-Reduction-Based Noise Suppression: Practise; #90171 (2013)
Lynn Burroughs and Stewart Trickett
Search and Discovery.com
... ideal for performing prestack noise suppression. Here we show how to apply these methods in practise to improve signal-to-noise and prepare data...
2013
Abstract: Strong Noise Removal and Replacement on Seismic Data; #90174 (2014)
Patrick Butler
Search and Discovery.com
...® from GEDCO. References Bekara, M., van der Baan, M., 2007, Local singular value decomposition for signal enhancement of seismic data. Geophysics, 72...
2014
Abstract: Pseudo ARMA FX Deconvolution for Seismic Data Noise Reduction; #90174 (2014)
Mike Galbraith and Zhengsheng Yao
Search and Discovery.com
... signal which is generated by a conventional FX filter. A brief outline of FX filter With the assumption that each data point can be expressed...
2014
Abstracts: Automatic P-wave Arrival Time Picking Method for Seismic and Microseismic Data; #90173 (2015)
Jubran Akram
Search and Discovery.com
... that produces reasonably accurate results when tested on real microseismic dataset comprising of eight receivers with good and poor signal to noise ratio...
2015
Seismic Damage Zones and Their Impact within Thrust and Fault Systems; #41017 (2012)
David Iacopini and Rob W. H. Butler
Search and Discovery.com
... data volumes. In general, seismic attributes improve the signal interpretation and are calculated and applied to entire 3D post-stack seismic volumes...
2012
Calibration of Continuous Wavelet Transform (CWT) Fracture Closure Detection Using Laboratory Hydraulic Fracturing Experiments
Mohamed A. Gabry, Zhi Ye, Amr Ramadan, Ahmad Ghassemi, Mohamed Y. Soliman
Unconventional Resources Technology Conference (URTEC)
...-in phases, were carried out. Pressure fall-off data was analyzed using Continuous Wavelet Transform (CWT), which decomposed the signal into different...
2025
Abstract: Variable-factor S-transform for Time-frequency Decomposition, Deconvolution, and Noise Attenuation; #90172 (2014)
Todor I. Todorov, Gary F. Margrave
Search and Discovery.com
... on the assumption that the seismic signal is stationary and employ an extensive use of Fourier analysis. However, due to various attenuation mechanisms...
2014
Understanding the Root Cause of Poor Seismic Data Through Modelling, #41912 (2016).
Anastasia Poole, Peter V. Baaren
Search and Discovery.com
... can then analyze how to optimize selection of acquisition parameters and data processing schemes with respect to both signal and noise. Such analyses...
2016
Boosting self-supervised blind-spot networks via transfer learning
Claire Birnie, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
... with respect to the number of training epochs between learning to replicate the signal without learning to replicate the noise. Focusing on blind-spot...
2022
Application of Inverse-Q Filter and Deconvolution to Improve Seismic Data Quality in the Deep Section
Deddy F. Djanawir, Frans Langitan
Indonesian Petroleum Association
... interesting results. Deconvolution improved the signal energy and intensively suppressed multiples that exist in the data. Inverse Q filtering improved...
2004
Abstract: Prestack Signal Enhancement by Non-hyperbolic MultiFocusing; #90187 (2014)
Evgeny Landa, Alex Berkovitch, and Kostya Deev
Search and Discovery.com
...Abstract: Prestack Signal Enhancement by Non-hyperbolic MultiFocusing; #90187 (2014) Evgeny Landa, Alex Berkovitch, and Kostya Deev AAPG Search...
2014