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The AAPG/Datapages Combined Publications Database
Showing 1,706 Results. Searched 200,691 documents.
Abstract: Critical Review, Calibration, and Ranking of Popular Velocity-Based Pressure Prediction Models, by Mario A. Gutierrez, Neil Braunsdorf, and Brent Couzens; #90039 (2005)
Search and Discovery.com
2005
Extracting Meaningful Estimates of Rock Properties from 3-D Anisotropic Velocity Models Derived from Borehole Microseismic
Scott Taylor, Jeremy King, Ben Schaeffer, Todd Hibbitts, Lucas McGreaham, Khaled Ghuneim
Unconventional Resources Technology Conference (URTEC)
... of 4H observation well display upward inflection, global RMS error across both gathers of 1.462ms. Figure 8 - Raypaths and 3D VTI model moveout...
2016
Abstract: The Use of Remote Sensing and GIS Techniques as an Aid to Retrieve Land Surface Temperature from Landsat TM Over Alqissim, Saudi Arabia
H. S. Lim, Sultan Alsultan, M. Z. Matjafri, K. Abdullah
Geological Society of Malaysia (GSM)
... for algorithm calibration. The results show a high correlation coefficient (R) and low root-mean-square error (RMS) between the LST values retrieved...
2006
General Threshold for Sediment Transport Induced by Mounds
J. Stephen Fries
Journal of Sedimentary Research (SEPM)
... (rms) of the horizontal velocity (urms). The rms velocity describes the spread of the velocity distribution at the sampling location and is indicative...
2004
Abstract: Diabase Sill Intrusions in the Parnaiba Basin: Imaging Challenges, Velocity Modeling and Seismic Interpretation; #90255 (2017)
Diogo Michelon, Roberto Ribeiro, João Caldeira, Paulo Roberto Cunha, Frederico Miranda
Search and Discovery.com
... the velocities points from the processing; RMS velocity distribution and equalizing between wells' logs and seismic processing; consolidation...
2017
Time-Lapse Study and Acquisition of Monitor Survey over Carbonate Gas Fields in Sarawak Water, East Malaysia, by Bor Seng Lee, Yip Cheong Kok, Chee Kiong Ngu, and Hua Zhu; #90052 (2006)
Search and Discovery.com
2006
Application of Geophysical Method to Delineate Contamination in Waste Disposal Site of Ampar Tenang, Dengkil, Selangor D.E.
Abdul Rahim Samsudin, Umar Hamzah, Wan Zuhairi Wan Yaacob, Bahaa-eldin El Wali Abdel Rahim, Loh Yean Sze
Geological Society of Malaysia (GSM)
..., Bulletin 46 ApPLICATION OF GEOPHYSICAL METHOD TO DELINEATE CONTAMINATION IN WASTE DISPOSAL SITE waste disposal site Depth He ratio" 2 RMS error...
2003
Wavefield Extrapolation for Prestack Time Migration with RMS Velocity: Part I Algorithm
Jianhua Pan
Search and Discovery.com
...Wavefield Extrapolation for Prestack Time Migration with RMS Velocity: Part I Algorithm Jianhua Pan Wavefield Extrapolation for Prestack Time...
Unknown
Wavefield Extrapolation for Prestack Time Migration with RMS Velocity: Part I Algorithm
Jianhua Pan
Search and Discovery.com
...Wavefield Extrapolation for Prestack Time Migration with RMS Velocity: Part I Algorithm Jianhua Pan Wavefield Extrapolation for Prestack Time...
Unknown
Leveraging self-supervised deep learning to address cross-talks in multi-parameter inversions
Wenlong Wang, Yulang Wu, Yanfei Wang, George A. McMechan
International Meeting for Applied Geoscience and Energy (IMAGE)
... Results P-wave velocity Data misfits Results Density B Unknown true elastic models Original starting elastic models Step 6 Data-error evaluation...
2024
Sensitivities, Limitations, and Error Inherent in Resistivity-tool-response Modeling - Application of Resistivity-Tool-Response Modeling for Formation Evaluation - Archie Series No. 2
Hezhu Yin
AAPG Special Volumes
.... For resistivity tools, the overall RMS error is usually defined through experiments with homogeneous background assumptions. In forward modeling, Rt...
2011
Permeability Multiplier Prediction Utilizing Wide Azimuth 3D OBC Seismic Data; #41349 (2014)
T. Matarid
Search and Discovery.com
...” = (Max-min value) / RMS error. “Reliability” has been used to only show on the map the “Reliable” values, particularly with the anisotropy results from...
2014
Use of Artificial Neural Network Models to Determine Infill Well Locations in a Mature Oil Field
M.I. Arshanda, Y.A. Rachman, E.A. Putra, Y.A. Nagarani
Indonesian Petroleum Association
... for training and 20% were used for testing. Model quality was determined via Root Mean Square (RMS) error between predicted outputs from the ANN model...
2013
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
...Mapping Distribution of Sandstone and Seismic Multi-Attribute Analysis Using Linear Regression Method in the "RMS" Field, South Sumatra Basin Clara...
2019
Abstracts: Borehole Geophone Repeatability Experiment; #90173 (2015)
Peter G. Gagliardi and Don C. Lawton
Search and Discovery.com
... repeatability and predictability. Nrms repeatability is defined as (Kragh and Christie, 2002) RMS (at bt ) , (2) NRMS 200 RMS (at ) RMS (bt ) where...
2015
Combination of Seismic Velocity Gradient and Sonic Gradient Variation as a Hydrocarbon Indicator: A Case Study in Clastic Reservoirs in South Sumatra
Iswani Waryono, Wahyu Triyoso
Indonesian Petroleum Association
... correct velocity error (residual velocity correction) for each offset and at the same time calculating the offset dependent RMS velocity field...
2012
Quantitative Petrophysical AVO Error Analysis in a Layered Model
Search and Discovery.com
...Quantitative Petrophysical AVO Error Analysis in a Layered Model Quantitative Petrophysical AVO Error Analysis in a Layered Model Jinfeng Ma* State...
2013
A New Discovery in The Limau Graben Trend: Air Benakat Formation Shallow Gas
Wahyu Dwijo Santoso, Raddy Adiarsa, Yona Akbar, Dimas Pramuditho, M. Taslim
Indonesian Petroleum Association
... the elastic parameters leads to uncertainties raised by large RMS error trends (Figure 12). Multiple AVO probability was obtained statistically...
2022
A Comparison of Depth-Conversion Methods in the Gulf of Mexico
Melvan D. Carter, Gary R. Hyatt
GCAGS Transactions
... has a variable mean error (from 0 to 93 feet) but a relatively stable standard deviation (from 22 to 43 feet). The deepest reflection has a highly...
1990
Estimating Unconformity Thicknesses from Vitrinite Reflectance Data: ABSTRACT
C. G. St. C. Kendall, Ian Lerche
AAPG Bulletin
.... In the presence of an unconformity, the residual r.m.s. fit of the paleoheat flux to the observed data is significantly improved when the unconformity...
1985
Resistivity Modeling as a Formation Evaluation Tool - Application of Resistivity-Tool-Response Modeling for Formation Evaluation - Archie Series No. 2
Hezhu Yin
AAPG Special Volumes
... is calculated. This is most often a mean-square or root-mean-square (RMS) error function, which is to be minimized through the inversion process. A 1-D deep...
2011
ABSTRACT: Seismic Visualization of subtle fault/fracture zones in Carbonate reservoirs: two case studies (Fahud - Oman and Waterton - Canada); #90007 (2002)
Wenche H. Asyee, E.P., Rijswijk, Anthony L. Cortis
Search and Discovery.com
... stacking option in VoxelGeo (Oman) and on the attribute maps (edge, amplitude and rms average of StratAmp of different seismic volumes) directly (Canada...
2002
An Interpreter's Guide to Improvements in Depth Imaging Through Model-Based Velocity Estimation and Refinement
Andy Furniss
Indonesian Petroleum Association
... in the Dix equation, we can calculate an RMS velocity error that will flatten the gather in much the same way as normal moveout velocity is used...
2000
An Interpreter's Guide to Improvements in Depth Imaging through Model-Based Velocity Estimation and Refinement
Andy Furniss
Petroleum Exploration Society of Australia (PESA)
... calculate an RMS velocity error that will flatten the gather in much the same way as normal moveout velocity is used to flatten gathers before stacking...
1999
Fast-Track and Robust Reservoir Modeling Using Probabilistic Neural Network; #42205 (2018)
Islam A. Mohamed, Basem K. Abd El-Fattah
Search and Discovery.com
.... The proposed neural network workflow reduces the reservoir modeling construction time by 80-90%, mitigates the cumulative error problems, and decreases...
2018