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The AAPG/Datapages Combined Publications Database
Showing 2,321 Results. Searched 200,293 documents.
Abstract: Adaptive Microseismic event Detection and Automatic Time; #90174 (2014)
Jubran Akram and David Eaton
Search and Discovery.com
... distribution fit of the STA/LTA product of the three microseismic data components. Several time picking algorithms (Akaike information criterion, modified energy...
2014
Validating novel boundary conditions for three-dimensional mechanics-based restoration: An extensional sandbox model example
Benjamin P. Chauvin, Peter J. Lovely, Joseph M. Stockmeyer, Andreas Plesch, Guillaume Caumon, and John H. Shaw
AAPG Bulletin
... relatively small fault blocks were neglected to facilitate 3-D mesh generation. Horizons were made continuous, introducing local mismatches...
2018
Geological significance of seismic reflections and imaging of the reservoir architecture in the Malampaya gas field (Philippines)
Franois Fournier, Jean Borgomano
AAPG Bulletin
... of growth history of the Malampaya buildup using three-dimensional (3-D) seismic data and relatively sparse core and sidewall samples from 4 wells...
2007
Abstract: Smart Supergrouping Improves Residual Static Estimation in Areas with Challenging Seismic Data Quality; #90254 (2016)
Pavel Golikov, Maxim Dmitriev, Andrey Bakulin, Dmitry Neklyudov, Rienk Lakeman
Search and Discovery.com
...Abstract: Smart Supergrouping Improves Residual Static Estimation in Areas with Challenging Seismic Data Quality; #90254 (2016) Pavel Golikov, Maxim...
2016
Volume Roaming and Volume Visualization of Large 3D Seismic Datasets
Antony John Marsh
Indonesian Petroleum Association
... on a computer. Sequence Sculpting – The process of isolating seismic data around or between one or two surfaces (3D horizons or faults). In the case...
2002
Abstract: Near-Surface Velocity Estimation Using Source-Domain Full Traveltime Inversion and Waveform Inversion; #90319 (2018)
Lu Liu, Bowen Guo, Yi Luo
Search and Discovery.com
... derived from the highfrequency approximation conflicts with the finite-frequency bandwidth of the seismic data and could lead to a poor velocity estimation...
2018
Spectrum of gas migration phenomena across multilayered sealing sequences
Claudia Bertoni, Joe Cartwright, Martino Foschi, and Joe Martin
AAPG Bulletin
... seismic data coverage (two-dimensional [2-D] and 3-D) and high-quality imaging allow a thorough subsurface mapping of this basin. The interpretation...
2018
Automated machine learning first-break picking in the Sichuan Basin A case study
Jianfa Wu, Xuewen Shi, Qiyong Gou, Ersi Xu, Dongjun Zhang, Dingxue Wang, Phil Bilsby, Qing Zhou, Rong Li
International Meeting for Applied Geoscience and Energy (IMAGE)
...Automated machine learning first-break picking in the Sichuan Basin A case study Jianfa Wu, Xuewen Shi, Qiyong Gou, Ersi Xu, Dongjun Zhang, Dingxue...
2024
Abstracts: Integration of Coherence and Volumetric Curvature Images; #90173 (2015)
Satinder Chopra, Kurt J. Marfurt
Search and Discovery.com
... by the interpreter’s ability to pick, but also the existence of horizons of interest at the appropriate level in 3D seismic data volumes. Horizon...
2015
High-Resolution Model Building in a Full-Azimuth Nodal Survey in the GOM
Sandip Chattopadhyay, Gary Rodriguez, Tefera Eshete, Guy Hilburn, TGS
GEO ExPro Magazine
... via tomographic inversion; therefore this portion of the statics is instead applied to the data prior to depth migration. The final depth-imaging...
2016
Chapter 3: Seismic Data Acquisition, Processing, and Interpretation in the Cook Inlet Basin — Local Geologic and Logistical Impacts
Diane P. Shellenbaum
AAPG Special Volumes
... using the existing two-dimensional (2-D) data, but additional high-quality three-dimensional (3-D) data are needed to fully evaluate the basin...
2013
Lithostratigraphic Interpretation of Seismic Data for Reservoir Characterization; #90017 (2003)
Mahesh Chandra, A. K. Srivastava, V. Singh, D. N. Tiwari, P. K. Painuly
Search and Discovery.com
... for interpretation are: log-correlation, calibration of seismic with well log data, horizons correlation, structural mapping, seismic facies analysis using...
2003
Deep-learning application of salt geometry detection in deep water Brazil
Ruichao Ye, Anatoly Baumstein, Kirk A. Wagenvelt, Erik R. Neumann
International Meeting for Applied Geoscience and Energy (IMAGE)
... as salt boundary horizons. For a large 3D survey and with widespread phase discontinuities, human picking is labor intensive, time consuming...
2022
Buried-hill play, Jizhong subbasin, Bohai Bay basin: A review and future prospectivity
Xianzheng Zhao, Fengming Jin, Quan Wang, and Guoping Bai
AAPG Bulletin
... play have been published in the English literature since Zhai and Zha (1982) and Zha (1984), and the re-acquired three-dimensional (3-D) seismic data...
2015
Geology of the South Lho Sukon 'A' Field North Sumatra, Indonesia
Rusman Rory
Indonesian Petroleum Association
... of conventional 2-D seismic data have been collected and interpreted since 1969, and a 3-D seismic survey was completed in 1987 for reservoir delineation and field...
1990
Chapter 22: Correlation of Seismic Attributes and Geomechanical Properties to the Rate of Penetration in the Mississippian Limestone, Oklahoma
Xuan Qi, Joseph Snyder, Tao Zhao, Kurt J. Marfurt, Matthew J. Pranter
AAPG Special Volumes
.... By using this workflow, we can use COP of previously drilled wells with 3-D seismic data to predict COP over the study area. Whereas one may still wish...
2019
An Efficient Workflow for Geological Characterization in Unconventional Reservoirs from a New Through-the-Bit Logging Electrical Micro-Imaging Tool, #42334 (2018).
Shiduo Yang, Patrick McBride, Josselin Kherroubi, Alexis He, Isabelle Le Nir, Daniel Quesada, Redha Hasan AI Lawatia, Andy Wray,
Search and Discovery.com
... identification difficult due to the lack of clear sinusoidal signatures in the log view. A true-dip plane-based dip picking algorithm has been developed...
2018
Insights using machine learning in predicting faults and horizons: A case study onshore Texas
Dan Ferdinand Fernandez, Mustafa Karer, Richard Hearn, Ryan King, Sunil Manikani, Gavin Menzel-Jones
International Meeting for Applied Geoscience and Energy (IMAGE)
... dramatically reduce the picking time to enable interpreters to focus on local complex areas, assist in generating more accurate horizons, accelerate the process...
2022
Investigating the Effect of Varying Fault Geometry and Transmissibility on Recovery: Using a New Workflow for Structural Uncertainty Modeling in a Clastic Reservoir
Signe Ottesen, Chris Townsend, Kjersti Marie verland
AAPG Special Volumes
... technology used for interpreting three-dimensional (3-D) seismic data, advanced software for modeling reservoir geometries in 3-D, performing fault seal...
2005
Machine-Learning Driven Prediction of Geological Marker Signatures
Shashin Sharan, Kaustubh Shrivastava, Per Irgens, Tatjana Scherschel
Unconventional Resources Technology Conference (URTEC)
... efficiency, only the top features that are highly correlated with the target marker horizons are selected. This reduces the dimensionality of the data...
2025
VSP Guided Reprocessing and Inversion of Surface Seismic Data
R. Gir, Dominique Pajot, Serge Des Ligneris
Southeast Asia Petroleum Exploration Society (SEAPEX)
... processing sequence Generalised Time Surfaces (GTS) Generalized time surfaces are computed, which start from a seed point and extend into 3-D data through...
1988
Mapping Distribution of Sandstone and Seismic Multi-Attribute Analysis Using Linear Regression Method in the "RMS" Field, South Sumatra Basin
Clara Armiliany, Ryan Mulyadi Saragih, Aji Arif Sulaksono, Bagus Sapto Mulyatno, Ordas Dewanto
Indonesian Petroleum Association
... tie). Marker Data The marker data is used as a reference for picking horizons. In addition, it is also used as a reference for binding wells...
2019
Machine-learning based arrival-picking in continuous DAS recordings Application to the Utah FORGE EGS project
Nepomuk Boitz, William Tegtow, Serge Shapiro
International Meeting for Applied Geoscience and Energy (IMAGE)
... a Convolutional Neural Network (CNN). In contrast to geophone-based picking methods, we suggest to train CNNs only on data from a specific dataset to best...
2024
Seismic Stratigraphic Analysis of the Barnett Shale and Ellenburger Unconformity Southwest of the Core Area of the Newark East Field, Fort Worth Basin, Texas
Elizabeth T. Baruch, Roger M. Slatt, Kurt J. Marfurt
AAPG Special Volumes
... (3-D) seismic survey with 352 inlines and 220 crosslines spaced 30 m (90 ft) apart, encompassing a total area of 22.5 29.6 km (14 18.4 mi). Data were...
2012
Elastic Wave Seismic Interpretation of Heavy-Oil Reservoirs
Search and Discovery.com
... of multicomponent data as described by Watson et al. (2002) basically involves picking events from the same pair of reflectors on sections from two or more...
2013