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The AAPG/Datapages Combined Publications Database
Showing 1,553 Results. Searched 195,387 documents.
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
Seismic and Structural Analysis of a Trenton-Black River Hydrothermal Dolomite Reservoir, by Justine Sagan and Bruce Hart, #40129 (2004).
Search and Discovery.com
2004
Intepretación Sísmica por Métodos no Convencionales en el Campo Bachaquero, Lago de Maracaibo, Venezuela [PAPER IN SPANISH] Seismic Interpreting for Unconventional Methods in the Bachaquero Field, Lake of Maracaibo, Venezuela
S. Oropeza, M.G. Castillo
Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)
...Intepretación Sísmica por Métodos no Convencionales en el Campo Bachaquero, Lago de Maracaibo, Venezuela [PAPER IN SPANISH] Seismic Interpreting...
2000
Integracion y Evaluacion en las Cuencas Sedimentarias de la Peninsula de Baja California. IN SPANISH. Integration And Evaluation In The Sedimentary Basins Of The Baja California Peninsula.
Salvador Alvarado De La Tejera
Boletín de la Asociación Mexicana de Geólogos Petroleros (AMGP)
.... MAXIMA «j RELATIVA j i _ i 1- Fig. 12 Cuantitativamente se partió de las gráficas de velocidades RMS (Fig. 12), obtenidas en el proceso de la...
1977
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
Modelo Geoestadístico y Simulación Numérica de la Arena R1, Yacimiento NIP 101 Campo Nipa Nardo, Distrito San Tomé, Cuenca Oriental de Venezuela [PAPER IN SPANISH] Geostatistical Model and Numerical Simulation of the Arena R1, Deposit NIP 101 Nipa Nardo
R. Guzmán, G. Fuenmayor, J. Sambrano, H. Márquez
Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)
... resultados fueron exportados de tempest a Irap-RMS, de tal modo que se convirtieron en el parámetro que Figura Número 25: Cotejo de Tasa y Acumulado de...
2006
The 14 August 1983 Cimarron, Colorado Earthquake and the Cimarron Fault
Ivan G. Wong, James R. Humphrey
Rocky Mountain Association of Geologists
... TIME . LATITUDE 38O N 17.14' LONGITUDE 107O W 13.55' FOCAL DEPTH 6.3 km STANDARD ERRORS EPICENTER 2.0 km FOCAL DEPTH 2.8 km RMS ERROR 0.30 sec...
1986
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
Abstract: Depositional and Tectonic Control of Clastic Reservoir Developments: Case Study-Offshore Niger Delta Clastic Wedge; #90137 (2011)
Jonathan Johnson
Search and Discovery.com
... been navigated as an en-route by channels and its loads. Evidence from Window based Isochron thickness map shows that increasing thicknesses were...
2011
A Time Migration Before Stack
Richard Cooper, Malcolm Hobson
Geological Society of Malaysia (GSM)
... Corrections RMS velocity is used to define space-time (x,t) normal moveout curves along which reflection energy can be constructively stacked onto...
1991
III Columbia Oil & Gas Investment Conference: Conventional & Unconventional Hydrocarbon Resources - Abstracts
Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)
... statistics, including RMS error, standard deviation, absolute mean, maximum and minimum error, and the number of non-physical predictions. Residual plots...
2008
Abstract: 4D Seismic Analysis of Reservoir Sands Overlying a Salt Structure (Geophysics Paper 22)
Haziqah Othman, Shuhadah Basaharudin, Salbiah M Sahad, Salbiah Isa, MK Sengupta, M Firdaus A Halim
Geological Society of Malaysia (GSM)
... Fluid Replacement Modeling. Figure 5 shows the Base 1999 and Monitor 2007 RMS Amplitude and Difference Amplitude attribute maps. Yellow color...
2011
Rapid History Matching of Petroleum Production from Well Logs and 4D Seismic via Machine Learning Techniques in the Norne Field, Offshore Norway
Jones Ebinesan, Greg Smith, Ritu Gupta
Australian Petroleum Production & Exploration Association (APPEA) Journal
... reservoir models using R-Squared, RMSE (root-mean-square error) and MAPE (mean absolute percentage error) indicated the random forest technique gave...
2023
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
Repeatability Evaluation of Time-Lapse Technology Using Ultra-Stable Seismic Source; #42078 (2017)
Junzo Kasahara, Khaled Al Damegh, Ghunaim Al-Anezi, Yoko Hasada, Kei Murase, Aya Kamimura, Osamu Fujimoto, Hiroshi Ohnuma
Search and Discovery.com
... Kragh and Christie (2002) proposed NRMS for the repeatability. NRMS 200 RMS (at bt ) , RMS (at ) RMS (bt ) (1) where the RMS operator...
2017