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The AAPG/Datapages Combined Publications Database

Showing 8,070 Results. Searched 195,354 documents.

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Extracting Lithofacies from Digital Well Logs Using Artificial Intelligence, Panoma (Council Grove) Field, Hugoton Embayment, Southwest Kansas: Abstract

Martin Dubois, Geoffrey Bohling, Alan Byrnes, Shane Seals

Tulsa Geological Society

...Extracting Lithofacies from Digital Well Logs Using Artificial Intelligence, Panoma (Council Grove) Field, Hugoton Embayment, Southwest Kansas...

2003

ABSTRACT: Extracting Lithofacies from Digital Well Logs Using Artificial Intelligence, Panoma (Council Grove) Field, Hugoton Embayment, Southwest Kansas; #90020 (2003)

Martin Dubois, Geoffrey Bohling, Alan Byrnes, Shane Seals

Search and Discovery.com

...ABSTRACT: Extracting Lithofacies from Digital Well Logs Using Artificial Intelligence, Panoma (Council Grove) Field, Hugoton Embayment, Southwest...

2003

ABSTRACT: Statistically-Based Lithofacies Predictions for 3-D Reservoir Modeling: An Example from the Panoma (Council Grove) Field, Hugoton Embayment, Southwest Kansas; #90013 (2003)

Martin K. Dubois, Alan P. Byrnes, Geoffrey C. Bohling, Shane C. Seals, John H. Doveton

Search and Discovery.com

... and discrimination of lithofacies reduces standard error in permeability prediction in marine carbonate facies by a factor of twelve. Nonmarine...

2003

Intelligent digital rock physics assisting quantitative seismic interpretation

Zhiyu Hou, Danping Cao, Xinjie Wang

International Meeting for Applied Geoscience and Energy (IMAGE)

... preprocessing, modeling and parameters prediction, there are some limitation on these parts. Firstly, in the digital rock image preprocessing, most intelligent...

2023

Digital Innovation in Subsea Integrity Management

Ricky Thethi, Dharmik Vadel, Mark Haning, Elizabeth Tellier

Australian Petroleum Production & Exploration Association (APPEA) Journal

... error across all seastates, with the majority of seastates being within error levels of Æ10%, denoting either over or under prediction Fig. 11. Outliers...

2020

Pore-scale electrical numerical simulation and new saturation model of fractured tight sandstone

Qian Wang, Maojin Tan, Chengwen Xiao, Siyu Wang, Chuang Han, and Lingtan Zhang

AAPG Bulletin

...) proposed a quantitative prediction method of reservoir parameters based on the inverse digital rock physics modeling approach. Li et al. (2020) built...

2022

Oil Saturation Log Prediction Using Neural Network in New Steamflood Area

Ahmad Syahputra

Indonesian Petroleum Association

... Digital Technical Conference, 14-17 September 2020 OIL SATURATION LOG PREDICTION USING NEURAL NETWORK IN NEW STEAMFLOOD AREA Ahmad Syahputra...

2020

Experiment on the Selection of Time-Transgression Predictive Seismic Attributes; #120167 (2014)

Yawen He, Hongliu Zeng

Search and Discovery.com

... design a reproducible experiment to select seismic attributes that would favor the prediction of the time-transgression for a target seismic event. Our...

2014

Abstract: Nonstationary Predictive Deconvolution; #90172 (2014)

Gary F. Margrave, Michael P. Lamoureux

Search and Discovery.com

... part of a time series which is then subtracted from the original signal to give the prediction error. When the prediction distance (or lag) is one...

2014

Structural Health Monitoring of An Offshore Platform Trend of Corrosion and Marine Growth With Predictive Maintenance

Kriswira Symontmatag Suharto

Indonesian Petroleum Association

... regression coefficient, X = independent variable. = ROOT MEAN SQUARE The method used for estimation of the error was the difference from the prediction...

2020

Statistical Methods For Log Analysis of Reservoir Properties: Chapter 1

John H. Doveton

AAPG Special Volumes

... error associated with any prediction will be the smallest possible. Notice that this same line is not appropriate for predictions of X given values...

1994

Upscaling in Numerical Simulation of Shale Transport Properties by Coupling Molecular Dynamics Simulation with Lattice Boltzmann Method

Yang Ning, Shuai He, Honglin Liu, Hongyan Wang, Guan Qin

Unconventional Resources Technology Conference (URTEC)

... reproduction, distribution, or storage of any part of this paper without the written consent of URTeC is prohibited. Abstract Accurate prediction...

2016

N/A

Prediction of Petrophysical Properties of Trenton-Black River (Ordovician) Reservoirs by Comparing Pore Architecture and Permeability to Sonic Velocity; #50508 (2011)

John E. Thornton and G. Michael Grammer

Search and Discovery.com

...Prediction of Petrophysical Properties of Trenton-Black River (Ordovician) Reservoirs by Comparing Pore Architecture and Permeability to Sonic...

2011

Organic and Inorganic Pore Structure Analysis in Shale Matrix With Superposition Method

Chenchen Wang, Jun Yao, Keliu Wu, Zhangxing Chen, Hai Sun, Yongfei Yang

Unconventional Resources Technology Conference (URTEC)

... to the corresponding images, the inorganic pore digital rock and organic pore digital rock are reconstructed with the Markov Chain Monte Carlo (MCMC) method...

2014

Fuzzy Logic and Digital Concept for Estimation of Oil and Gas Development

Candra Nugraha, Kamilah Jamil, Yusuf Theo Lebang

Indonesian Petroleum Association

...Fuzzy Logic and Digital Concept for Estimation of Oil and Gas Development Candra Nugraha, Kamilah Jamil, Yusuf Theo Lebang IPA19-F-2 PROCEEDINGS...

2019

Computerized Coal-Quality Prediction from Digital Geophysical Logs: ABSTRACT

D. L. Nations, D. E. Tabet, C. R. Gerould

AAPG Bulletin

...Computerized Coal-Quality Prediction from Digital Geophysical Logs: ABSTRACT D. L. Nations, D. E. Tabet, C. R. Gerould 1984 944 944 68 7. (July...

1984

Measurement and Error in Regional Stratigraphic Analysis

W. C. Krumbein

Journal of Sedimentary Research (SEPM)

... that the well will encounter 75 ± 10 = 65 to 85 ft of sand. The relative error here is 10/75 = 13 percent. If the prediction is to be based on a 19/20 chance...

1958

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