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The AAPG/Datapages Combined Publications Database

Showing 1,551 Results. Searched 195,364 documents.

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Solving the puzzle of the bivalve shell fragment: inferring the original abundance and size frequency from the fragmented record

Eric N. Powell

PALAIOS

...) 0883-1351/20/035-432 at the analysis of taphofacies, not community structure (e.g., Best and Kidwell 2000; Parsons-Hubbard 2005; Rodrigues and Sim˜ es 2010...

2020

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

Abstract: Shale Gas, A Hot Topic at Curtin

PESA Staff

Petroleum Exploration Society of Australia (PESA)

... countri es The map highlights that Australia could be rich is shale gas. are now looking for other sources of gas and since shale gas has proved...

2011

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

Paleoslope Reconstruction In Sandy Suspended-Load-Dominant Rivers

Ranie M. Lynds, David Mohrig, Elizabeth A. Hajek, Paul L. Heller

Journal of Sedimentary Research (SEPM)

... of the percentage estimation error denote overestimation, negative values denote underestimation. The root-mean-square (RMS) error is also reported when...

2014

The Geophysical Aspects of Abnormal Fluid Pressures

Edward B. Reynolds, John E. May, Alf Klaveness

Houston Geological Society

... is not valid the error introduced is usually not significant to RMS velocity determination. However, there are corrections which can be applied...

1971

Advanced Techniques for On-Line Monitoring of Brown Coal Quality

R M Borsaru, N G Cutmore, A L Ottrey, B D Sowerby

Petroleum Exploration Society of Australia (PESA)

... on nine bulk coal samples from Yallourn and Loy Yang using a PGNAA gauge with a germanium solid state detector. RMS error (wt%) Correlation...

1992

A Regional Velocity Cube for Depth Conversion on the Northwest Shelf

Maighréad Ní Dheasúna, Mark Ballesteros, James Leven

Petroleum Exploration Society of Australia (PESA)

.... Average velocity (L 7) versus RMS velocity (L2) for a stack of horizontal/ayers, each with a thickness of and a velocity of z, Figure 2 outlines t he...

2012

Abstracts: Converted Wave Processing in the EOM Domain; #90173 (2015)

Thais A. Guirigay and John B. Bancroft

Search and Discovery.com

... wave CSP (LCCSP) gather. This Vc is valid only for zero offset data, however we can extend its application when there is an acceptable small error...

2015

Pilot Phase of the Aguada Federal Block, Black-Oil Window

Osvaldo Nielsen, David Curia, Pablo Pateti, Javier Caniggia, Alexis Ortega, Morten Slinde

AAPG Special Volumes

... that provides the best possible combination with the lowest prediction error (Figure 17). Seismic TOC prediction solely on density and compressional...

2020

The Use of Geoelectrical Imaging to Study Groundwater Pollution at Gemenceh Waste Disposal Site, Negeri Sembilan

Abdul Rahim Samsudin, C. A. Tan, Bashilah Baharudin, Mohd Tadza Abdul Rahman

Geological Society of Malaysia (GSM)

... 32.0 64.0 96.0 128 m. r-~rnrniIT2mrn2ii_mme_iiii_~~~ 1.0 5.1 9.2 13.3 Measured Apparent Resistivity Pseudosection Depth Iteration 5 RMS error...

2000

Abstract: Seismic Processing of Ocean Bottom Cable and Streamer Data over Seligi Field

Lye Yue Choong, Abdul Razak Mohd Nurin

Geological Society of Malaysia (GSM)

... to velocities. A velocity error of 2% or more will produce scalloped reflections on the crosslines. Considerable time and effort was spent...

1999

Deep Dix: Enhancing interval velocity model estimation through adversarial regularization

Joseph Stitt, Robert Clapp, Biondo Biondi

International Meeting for Applied Geoscience and Energy (IMAGE)

... inversion with synthetic and field RMS velocity data. This approach confines the model possibilities to only plausible geological scenarios and helps...

2023

Abstract: IRAP RMS 7.0 - The New Release from Roxar Delivers Enhanced Ease of Use and Accuracy to 3D Modelling

PESA Staff

Petroleum Exploration Society of Australia (PESA)

...Abstract: IRAP RMS 7.0 - The New Release from Roxar Delivers Enhanced Ease of Use and Accuracy to 3D Modelling PESA Staff PRooucT Focus I IRAP RMS...

2002

Hyperspectral imaging for the determination of bitumen content in Athabasca oil sands core samples

Michelle Speta, Benoit Rivard, Jilu Feng, Michael Lipsett, and Murray Gingras

AAPG Bulletin

... correlation between spectral TBC and Dean-Stark TBC. The accuracy of the results was evaluated by calculating the root-mean-square (RMS) error, defined...

2015

Reservoir Characterisation Study: Inter Well Reservoir Property Prediction and Mapping by Petrophysics Data and Seismic Data Integration

Robi Junipa, Michel Bee

Indonesian Petroleum Association

... sand. The standard error estimations based on the regression functions for reflection strength, RMS amplitude and total absolute amplitude are small...

2010

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