Abstract: Enhancement of 3-D Fault Interpretation from Seismic Data Using a Post-Stack Seismic Data Conditioning and Artificial Neural Network Approach in Cai36 3-D Prospect of the Junggar Basin, China;

Lijie Cui, Kongyou Wu, Jie Ji

Search and Discovery.com

... positive curvature, similarity mid window and RMS short. The normalized root-mean-square error values for both test and train data produce a minimum...

Comparative Algorithm Machine Learning Approaches for Predictive Analysis of Well Log Data: A Case Study in the Central Sumatra Basin

Nungga Saputra, Hafid Rizki Nur Rohman, Puspa Alifya, Patria Ufaira Aprina

Indonesian Petroleum Association

... are then used to validate the test results of the algorithms, which yield an accuracy greater than 80% and produce the smallest mean absolute error...

A New Approach to Time Depth Conversion and Depth Error Estimation for 2D Interpretation Using Seismic Velocities

Rosidah Hardiani, Sanisah Soed, Lothar Schulte

Indonesian Petroleum Association

...A New Approach to Time Depth Conversion and Depth Error Estimation for 2D Interpretation Using Seismic Velocities Rosidah Hardiani, Sanisah Soed...

Modelling an Ultra-Long Electrical Device, and Application in Interpretation of a Hot Dry Rock Geothermal Reservoir

John Lovell, Makoto Miyairi, Kazuhiko Tezuka, Gordon Mowat

Indonesian Petroleum Association

... casing Frequency histograms of mean model/log ratios, 8 - curve rms error = 39.2%. Figure 8b. Layered model without invasion, with trunk fracture...

Giant Cretaceous Mixed Contouritic-Turbiditic Systems, Offshore Uruguay: The Interaction between Rift-Related Basin Morphology, Contour Currents and Downslope Sedimentation, #30482 (2016).

G. Badalini, P. Thompson, S. Wrigley, R. Walker, J. Argent, F.J. Hernandez-Molina, M. Soto, H. de Santa Ana

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.... 507–510. Hernández-Molina, F.J., M. Soto, A.R. Piola, J. Tomasini, B. Preu, P. Thompson, G. Badalini, A. Creaser, R.A. Violante, E. Morales, M...

Abstract: Critical Review, Calibration, and Ranking of Popular Velocity-Based Pressure Prediction Models, by Mario A. Gutierrez, Neil Braunsdorf, and Brent Couzens; #90039 (2005)

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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...

Seismic HC Reservoir Prediction: A (Critical) Review on the Determination of Lithological Parameters from Seismic Data

Burkhard Buttkus

Geological Society of Malaysia (GSM)

... of depth to layer thickness (Schneider, 1969). Figure 8 shows the expected error of interval velocities as a function of the RMS-velocity error...

Use of Volume-Based 3-D Seismic Attribute Analysis to Characterize Physical-Property Distribution: A Case Study to Delineate Sedimentologic Heterogeneity at the Appleton Field, Southwestern Alabama, U.S.A.

Juliana M. Tebo, Bruce S. Hart

Journal of Sedimentary Research (SEPM)

... the inversion results and well data might be suspect. The PNN-trained relationship with four attributes provided a correlation of 93%, with RMS error...

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...

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...

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...

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)

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Abstract: Uncertainty in Surface Microseismic Monitoring; #90187 (2014)

Michael Thornton, Mike Mueller, and Leo Eisner

Search and Discovery.com

... beamformed trace. Potential events are detected by an amplitude ratio test. The ratio of RMS amplitude within a sliding event window (the signal estimate...

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...

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...

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...

Large-Scale Pore Pressure Prediction After Pre-Stack Depth Migration in the Caspian Sea (Geophysics Paper 24)

Norbert van de Coevering, Hazim Hameed Al-Dabagh, Liau Min Hoe, Tony Jolly

Geological Society of Malaysia (GSM)

... to be converted from RMS to interval velocity. Normally, the regularly sampled velocity field (in time) is converted using Dix’ approximation (Dix, 1955...

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...

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...

Seismic Characterization of Natural Fractures in the Buda Limestone of Zavala County, Texas

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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...

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...

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...

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...