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The AAPG/Datapages Combined Publications Database
Showing 772 Results. Searched 200,293 documents.
Abstract: Parallel Computation Algorithm (PCA) for Large Geophysical Processes, by Adewale Amosu; #90182 (2013)
Search and Discovery.com
2013
High-Frequency Explosive Volcanic Eruptions in a Late Jurassic Volcanic Arc: The Ameghino Formation, Antarctic Peninsula
Roberto A. Scasso
Journal of Sedimentary Research (SEPM)
..., D.V., Aubry, M.V., and Hardenbol, J., eds., Geochronology, Time Scales and Global Stratigraphic Correlation: SEPM, Special Publication 54, p. 52-63...
2001
Physical Properties Analysis of Limestone Reservoir Salawati Basin Using Seismic Acoustic Impedance Inversion (AI) Modelbased
Ahmad Musto'in, Mohammad Qodirin, Ayi Syaeful Bahri, Yulia Putri Wulandari
Indonesian Petroleum Association
... limestone. A seismic trace where include noises is defined as a convolution between reflectivity coefficient with wavelet. The equation is defined...
2012
Assessing the Mesaverde Basin-centered Gas Play, Piceance Basin, Colorado
K. C. Hood, D. A. Yurewicz
AAPG Special Volumes
..., the calculations are more similar to a multiple-segment prospect assessment than to a traditional play assessment. Initially, the play is assessed as a small...
2008
A strategy for acoustic impedance direct inversion in depth domain
Ruiqian Cai, Chengyu Sun, Shizhong Li
International Meeting for Applied Geoscience and Energy (IMAGE)
... is developed (Hu et al., 2007; Singh, 2012), which handles the wavelet and convolution issues in the depth domain through the pseudodepth transform...
2022
Multichannel seismic deconvolution via 2D K-SVD and convolutional sparse coding
Guiqian Zhang, Xiayu Gao, Bangli Zou, Yaojun Wang, Yingzhu Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
..., each trace of the poststack seismic profile is considered to be the convolution of the source wavelet with a reflectivity series. The single channel...
2023
New Joint Categorical/Continuous Simultaneous Inversion Technology (Paper C9)
M. Kemper
Geological Society of Malaysia (GSM)
... angles θ, typically in some least squares sense (solving for AI, SI and ρ directly is possible also; not discussed here). Because of the convolution...
2012
From Outcrop Geology to Seismicand Back!
Isabelle Lecomte
GEO ExPro Magazine
... applied the function to simulate seismic images by convolution. But, as long as I was making my own – simplistic – geomodels, the produced seismic images...
2019
HIGH-PRECISION ALGORITHM FOR GRAIN SEGMENTATION OF THIN SECTIONS BY MULTI-ANGLE OPTICAL-MICROSCOPIC IMAGES
Timur Murtazin, Zufar Kayumov, Vladimir Morozov, Radik Akhmetov, Anton Kolchugin, Dmitrii Tumakov, Danis Nurgaliev, Vladislav Sudakov
Journal of Sedimentary Research (SEPM)
...., 2020a, Convolution neural network learning features for handwritten digit recognition: Institute of Electrical and Electronics Engineers, East–West Design...
2023
Efficiently Solving Wave Equation Migration on Multicore Processors
Search and Discovery.com
... of one of the most common imaging algorithms, Wave Equation Migration. This bottleneck consists of the repeated convolution of a set of 2-dimensional...
2013
The depth-domain seismic inversion based on depth-variant wavelet non-stationary convolution method
Cong Wang, Xuehua Chen, Wei Jiang, Shengyi Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
...The depth-domain seismic inversion based on depth-variant wavelet non-stationary convolution method Cong Wang, Xuehua Chen, Wei Jiang, Shengyi Wang...
2024
Abstract: Stratigraphic Correlation Division Algorithm Based on Log Curves Filter Synthesis and Similarity Measurement; #91204 (2023)
Mengxin Song, Chengci Wang, Hongping Miao, Yu Ren
Search and Discovery.com
... curves. Xu Chaohui [8] and others have realized automatic stratigraphic division and correlation based on convolution neural network algorithm widely...
2023
Artificial intelligence techniques to the interpretation of geophysical measurements
Desmond FitzGerald
Petroleum Exploration Society of Australia (PESA)
... and the convolution solutions where the correlation is above a threshold. True integration of geology and geophysics thinking requires a common earth model...
2019
ABSTRACT A Time-Convolution Approach to Evaluate Heat Exchange Between Wellbore and Formation, #90128 (2011)
Yingqi Zhang, Stefan Finsterle, Lehua Pan, Karsten Pruess
Search and Discovery.com
...ABSTRACT A Time-Convolution Approach to Evaluate Heat Exchange Between Wellbore and Formation, #90128 (2011) Yingqi Zhang, Stefan Finsterle, Lehua...
2011
Seismic impedance inversion via neural networks and linear optimization algorithm
Bo Zhang, Yitao Pu, Ruiqi Dai, Danping Cao
International Meeting for Applied Geoscience and Energy (IMAGE)
... data (Ronneberger et al., 2015). The encoder and decoder paths both consist of 7 layers. Each layer in the encoder path consists of convolution, a batch...
2024
Use of SEISLOG for Basin Evaluation and Field Development
R. C. Mummery
Geological Society of Malaysia (GSM)
... Equation flection coefficient series of the various lithologic interfaces of the stratigraphic sequence. Convolution of this reflection coefficient series...
1987
Bulk Gas Volume Estimation Using Multi-Attribute Regression and Probabilistic Neural Network (PNN): A Case Study in a Gas Field from East Coast of India, #41100 (2012)
Amit K. Ray, Samir Biswal
Search and Discovery.com
...-plot between Effective Porosity and P-impedance shows a correlation coefficient of 0.5 (Figure 1) while that of Gas Volume and P-impedance shows...
2012
Recognition of Subtle Features in Geologic Maps
J. E. Robinson, D. F. Merriam
CSPG Special Publications
... is suggested for structural validation calculations. Some leeway in the interpretation however must be given for those areas of less than average density...
1980
Abstract: A Seismic Workstation Solution to Bakken AVO; #90174 (2014)
D. Meisinger and N. H. Kalmanovitch
Search and Discovery.com
... but this is down by 15dB as a result of the phase distortion above the 85 Hz level as depicted on the phase plot. A match filter is a simple convolution operator...
2014
Research and application of Intelligent high resolution processing method based on ISTA-Net
Huahui Zeng, Qin Su, Sanyi Yuan, Lide Wang, Yanwu Xu, Huijie Meng, Deying Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Theory and/or Method Intelligent high-resolution processing method based on ISTA-Net Convolution model described the relationship between seismic records...
2024
Utilizing Variably Integrated Spectral Frequency to Extract Entire Fluvial Systems
Pongthep Thongsang, Mirza Naseer Ahmad
Indonesian Petroleum Association
... method illustrates explicit correlation between sand morphology and integrated frequency range. Moreover, in narrow window analysis of thin sand...
2013
Geology of the Nuhn Uranium Ore Body, Jackson Group, South Texas Uranium District
Richard P. McCulloh, Charles Roberts
South Texas Geological Society Special Publications
...-bearing sand as lower Stones Switch was accomplished by correlation of abundant Conoco exploration and delineation drill data along strike from...
1986
Geology of the Nuhn Uranium Ore Body, Jackson Group, South Texas Uranium District
Richard P. McCulloh, Charles T. Roberts
Bulletin of South Texas Geological Society
... fairly uniform. Identification of the ore-bearing sand as lower Stones Switch was accomplished by correlation of abundant Conoco exploration...
1983
Multiple attenuation using 3D SRME with targeted demigration
Marin Petkovic, Ahmed Abouserie, Zhen Wang, Brad Wray
International Meeting for Applied Geoscience and Energy (IMAGE)
... an extra reflection at the air-water interface. They can be predicted using 3D SRME, which involves 3D convolution of primary reflections with the full...
2024
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)
... through the convolution layers. Such a structure yields a deeper and computationally efficient convolution neural architecture (Li·et·al.·2018...
2020