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The AAPG/Datapages Combined Publications Database
Showing 4,877 Results. Searched 200,673 documents.
ABSTRACT: Forward Seismic Models of Ferron and Sego Sandstones, by Michael Farrell and Maija Brown; #90156 (2012)
Search and Discovery.com
2012
ABSTRACT: Three Dimensional Fault Detection Using Dip and Azimuth; #90120 (2011)
Aftab Alam, Mirza Naseer Ahmad, Mumtaz Ahmad Mehar, and Sohaib Ahmad
Search and Discovery.com
..., interference or noise. In our method we take the time-surface misfit error as a measure of discontinuity by fitting a least square plane to spatially...
2011
Tomography for Near
Search and Discovery.com
N/A
Broadband data with a new low frequency source Acquisition and processing example from the Gulf-of-Mexico
Xuefeng Shang, Maksym Kryvohuz, Hamish Macintyre, Guido Baeten, Thibaut Allemand, Philippe Herrmann, Stephane Laroche, Shuki Ronen
International Meeting for Applied Geoscience and Energy (IMAGE)
... source boat velocity, one voice data appears as random and incoherent noise in another voice common receiver gather. During our survey, the two sources...
2023
Abstract: Using Phase Sequencing and Marine Vibrators for Residual Shot Noise Removal and Simultaneous-Source Separation; #90310 (2017)
Robert Laws, David Halliday, Ali Özbek, Jon Fredrik Hopperstad
Search and Discovery.com
...Abstract: Using Phase Sequencing and Marine Vibrators for Residual Shot Noise Removal and Simultaneous-Source Separation; #90310 (2017) Robert Laws...
2017
Abstract: Interpolation of Aliased Seismic Data in the Curvelet Domain; #90172 (2014)
Mostafa Naghizadeh, Mauricio D. Sacchi
Search and Discovery.com
... coherent noise and imaging the earth interior have stringent sampling requirements which are often not met in real surveys. In order to avoid information...
2014
Characterization of spatial relationships between fractures from different sets using K-function analysis
Mahmood Shakiba, Larry W. Lake, Julia F. W. Gale, and Michael J. Pyrcz
AAPG Bulletin
..., anticlustered, or random arrangements, they could still be spatially independent or dependent. To evaluate spatial independence between two fracture sets...
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)
... by a random distribution directly tied to the porosity values (i.e., high porosity sections contain less shale). In a similar manner, water saturation...
2022
DAS Microseismic Monitoring and Integration With Strain Measurements in Hydraulic Fracture Profiling
Martin Karrenbach, Andrew Ridge, Steve Cole, Kevin Boone, Dan Kahn, Jamie Rich, Ken Silver, Dave Langton
Unconventional Resources Technology Conference (URTEC)
... frequency regime. Temperature signal agrees with DTS, except for random measurement noise. Figure 15: Microseismic events are overlaid in black...
2017
The application of a new machine-learning paradigm based on pretraining and fine-tuning, StorSeismic, on field seismic data
Randy Harsuko, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
..., Aliasing in the tau-p transform and the removal of spatially aliased coherent noise: Geophysics, 55, 1496–1503, doi: https://doi.org/ 10.1190/1.1442797...
2022
Abstract: 5D Interpolation and Regular Upsampling: Ill-suited or Fit-for-purpose?; #90187 (2014)
Mike J. Perz and Peter W. Cary
Search and Discovery.com
... consisting of multiple dipping events, some of which are spatially aliased. In order to perform 2:1 upsampling, these data are cast onto the finely...
2014
Unsupervised Machine Learning as a Velocity Picking Assistant
Charles Ursenbach, Hassan Odhwani
International Meeting for Applied Geoscience and Energy (IMAGE)
... and deep reflection events. The Bi peaks correspond to random semblance noise with no geological significance. Each arrow points from a peak in one panel...
2023
Machine Learning Methods for Handling Parameter Space Sampling Bias in Unconventional Well Performance Prediction
Oliver Rojas Conde, Henry Galvis Silva, Sebastien Matringe
Unconventional Resources Technology Conference (URTEC)
... approach demonstrated superior performance compared to traditional random forest models when predicting well performance for non-standard designs...
2025
An Innovative Method For Detecting Subtle Events And Patterns In Seismic Data
Search and Discovery.com
N/A
ABSTRACT: Uncorrelated Data-Driven Vibroseis Deconvolution; #90051 (2006)
Peter I. Pecholcs
Search and Discovery.com
..., Saudi Aramco The theory of exploiting a linear frequency modulated signal corrupted by Gaussian noise for pulse compression can be traced back...
Unknown
Uncorrelated Data Driven Vibroseis Deconvolution
Search and Discovery.com
N/A
Acoustic nonlinear full-waveform inversion on an outcrop-based detailed geological and petrophysical model (Book Cliffs, Utah)
Daria Tetyukhina, Stefan M. Luthi, Dries Gisolf
AAPG Bulletin
... effects in the data. Random noise added to the data is rejected by the nonlinear inversion, contributing to improved spatial resolution. The results show...
2014
ABSTRACT: Field Equations for Deformable Porous Media with Spatially Varying Porosity
P. N. Sahay
CSPG Special Publications
...ABSTRACT: Field Equations for Deformable Porous Media with Spatially Varying Porosity P. N. Sahay 1998 256 256...
1998
A New Method of Neostress Determination From Passive Seismic Data
Alfred Lacazette, Alan Morris
Unconventional Resources Technology Conference (URTEC)
... and accumulates spatially stable signals. (Again, coherent noise is removed in traceprocessing.) Both stacking steps cancel random noise and enhance...
2015
Geoscientific reasoning via graph neural networks
Grant Seastream, Huseyin Denli
International Meeting for Applied Geoscience and Energy (IMAGE)
... simulation. We then apply a simple faulting algorithm to 30% of the images, where the pixels are linearly dislocated by a random amount at some angle...
2022
Magnetotelluric Monitoring of Unconventional Energy Resource Development: Disruptive Technology or Damp Squib?
Graham Heinson
Petroleum Exploration Society of Australia (PESA)
... changes, both spatially and temporally. This is a cheap technology as it uses natural electromagnetic source-fields and does not require drilling...
2016
Abstracts: Mapping Fracture Flow and Reservoir Stress Compartments with Passive Seismic Imaging; #120181 (2015)
Alfred Lacazette, Charles Sicking, Jan Vermilye, and Rigobert Tibi
Search and Discovery.com
...-stable signal and suppresses random noise. The data is then clipped to remove low-amplitude false structures. The remaining clouds are regions of high...
2015
Tiltmeter Mapping and Monitoring of Hydraulic Fracture Propagation in Coal: A Case Study in the Warrior Basin, Alabama
George A. Gazonas, Chris A. Wright, M.D. Wood
Rocky Mountain Association of Geologists
... whether a group of error vectors across an array are in some fashion coherent, spatially low frequency, or are spatially random (measurement noise...
1988
Setting environmental standards: A statistician's perspective
Peter Guttorp
Environmental Geosciences (DEG)
... so that P(N I CI,) .In the analysis in this section (at least) three simplifying assumptions have been made: that Ni,t is an observable random...
2006
Massive focal mechanism solutions from deep learning in west Texas
Yangkang Chen, Omar M. Saad, Alexandros Savvaidis, Fangxue Zhang, Yunfeng Chen, Dino Huang, Huijian Li, Farzaneh Aziz Zanjani
International Meeting for Applied Geoscience and Energy (IMAGE)
... denoising autoencoder for seismic random noise attenuation: Geophysics, 85, no. 4, V367–V376, doi: doi: https://doi.org/10.1190/geo2019-0468.1. Saad, O...
2024