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Welcome to the new Datapages Archives

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The AAPG/Datapages Combined Publications Database

Showing 8,497 Results. Searched 200,293 documents.

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A Simple Autocorrelation Algorithm for Determining Grain Size from Digital Images of Sediment: RESEARCH METHODS PAPERS

David M. Rubin

Journal of Sedimentary Research (SEPM)

...A Simple Autocorrelation Algorithm for Determining Grain Size from Digital Images of Sediment: RESEARCH METHODS PAPERS David M. Rubin 2004 160 165...

2004

Synthetic Data-driven Hybrid Deep Learning Methodology for Predicting Remaining Useful Life of Sensors in Downhole Drilling Equipment

Aamir Bader Shah, Yu Wen, Jiefu Chen, Xuqing Wu, Renjie Hu, Xin Fu

Unconventional Resources Technology Conference (URTEC)

... at time 𝑡. 𝑦 The learning objective is to find the optimal parameters 𝜃 that minimize the expected prediction error over the distribution of possible...

2025

A Pebble Measurer for Laboratory Use, Giving a Punched Tape Output: NOTES

P. J. Hardcastle

Journal of Sedimentary Research (SEPM)

..., and 0-2 volts for a range of 0-20 mm for the small caliper. This is measured on a digital voltmeter with a four figure display, so th t the least...

1971

Intelligence Enables Forward Drilling

Search and Discovery.com

N/A

Abstract: Pore Type Characterization and Extraction of Effective Porosity With Digital Image Analysis: A Case Study From Miocene Lacustrine Carbonates (Southern Germany); #90310 (2017)

Sven Maerz, Maria Mutti

Search and Discovery.com

...Abstract: Pore Type Characterization and Extraction of Effective Porosity With Digital Image Analysis: A Case Study From Miocene Lacustrine...

2017

Abstract: Evaluation of Permeability in Tight Sandstones of Eastern Saudi Arabia Based on Digital Rock Physics; #90319 (2018)

Ivan Deshenenkov, Abrar Alabbad

Search and Discovery.com

...Abstract: Evaluation of Permeability in Tight Sandstones of Eastern Saudi Arabia Based on Digital Rock Physics; #90319 (2018) Ivan Deshenenkov, Abrar...

2018

Abstract: Multi-Scale Digital Rock Analysis of Jurassic Carbonates for Exploration Support in Saudi Arabia; #91204 (2023)

Ivan Deshenenkov, Aqeel Furaish, Ali Zahrani

Search and Discovery.com

...Abstract: Multi-Scale Digital Rock Analysis of Jurassic Carbonates for Exploration Support in Saudi Arabia; #91204 (2023) Ivan Deshenenkov, Aqeel...

2023

Digital Reproduction of Clastic Sedimentary Architecture by Means of Relational Databases; #41398 (2014)

Luca Colombera, Marco Patacci, William D. McCaffrey, Nigel P. Mountney

Search and Discovery.com

...Digital Reproduction of Clastic Sedimentary Architecture by Means of Relational Databases; #41398 (2014) Luca Colombera, Marco Patacci, William D...

2014

Auto-Control Model Building Using Machine Learning Regression for Extreme Response Prediction

Darrell Leong, Anand Bahuguni

Australian Petroleum Production & Exploration Association (APPEA) Journal

...Auto-Control Model Building Using Machine Learning Regression for Extreme Response Prediction Darrell Leong, Anand Bahuguni The APPEA Journal 2020...

2020

E. Gas Production Rates: Proved and Probable Reserves, Production Rates, and Availability of Natural Gas

J. Milton Wege, R. M. Falconer, Ernest Gimblet, James Simmons, Louis Arrington, W. H. Hopkins, Ralph E. Davis

AAPG Special Volumes

... for other purposes besides the prediction of future production rates, namely (1) determination of effect of well stimulation (acidization, shooting...

1968

Reducing the Risk of CO2 Storage Projects through Cost Effective Reservoir Characterisation: Application of Digital Core Analysis to a CO2 Injection Reservoir

Mohammad Bagheri, Mark Knackstedt, Tess Dance, Matthias Raab

Australian Petroleum Production & Exploration Association (APPEA) Journal

...Reducing the Risk of CO2 Storage Projects through Cost Effective Reservoir Characterisation: Application of Digital Core Analysis to a CO2 Injection...

2021

Abstract: Log-Derived Lithostratigraphy and Digital Mapping of Ste. Genevieve Oolite Bodies at Owensville North Consolidated Field, Gibson County, Indiana

Katy J.G. Swan and Brian D. Keith

Search and Discovery.com

...Abstract: Log-Derived Lithostratigraphy and Digital Mapping of Ste. Genevieve Oolite Bodies at Owensville North Consolidated Field, Gibson County...

2007

-- no title --

user1

Search and Discovery.com

... permeability of subsurface reservoirs, affecting both well productivity and recovery factor. Despite recent improvements, characterization and prediction...

Unknown

Machine-Learning-Assisted Segmentation of FIB-SEM Images with Artifacts for Improved of Pore Space Characterization of Tight Reservoir Rocks

Andrey Kazak, Kirill Simonov, Victor Kulikov

Unconventional Resources Technology Conference (URTEC)

... the quality of quantitative petrophysical characterization of complex reservoir rocks using digital rock imaging. The development allows...

2020

Improving the Reliability of Permanent Downhole Monitoring Systems

Tim Conn, Ivan Mombourquette

Indonesian Petroleum Association

... is an "easy" way of designing a solution, but not necessarily providing the best results. Digital Electronics free PDM solutions have rejected this paradigm...

2003

Assessment of Micro-Fracture Density using Combined Interpretation of NMR Relaxometry and Electromagnetic Logs

Lu Chi, Marcus, Elliot, Zoya Heidari, Mark Everett

Unconventional Resources Technology Conference (URTEC)

... from the work of Talabi et al. (2009). The input file for the simulator is a digital rock matrix including 0s and 1s (0 represents pore pixel and 1...

2014

Optimum Deconvolution for Seismic Inversion Purposes

M. Suprajitno, L. Nutt, P. Busono

Southeast Asia Petroleum Exploration Society (SEAPEX)

..., Digital Signal Processing, Prentice Hall, Inc., Englewood Cliffs. 10. Otis, R.M., and Smith. R.B., 1977, “Homomorphic Deconvolution by log averaging...

1988

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

Extended Abstract: Using Digital Rock Technology for Multi-Scale Reservoir Characterization

Vegar Ravlo, Pradeep Bhattad, Mark Knackstedt, Lucy Plant

GCAGS Transactions

...Extended Abstract: Using Digital Rock Technology for Multi-Scale Reservoir Characterization Vegar Ravlo, Pradeep Bhattad, Mark Knackstedt, Lucy Plant...

2016

Deep learning-based raster digitization engine

Atul Laxman Katole, Purnaprajna Mangsuli, Omkar Gune, Mohd Saood Shakeel, Abhiman Neelakanteswara, Aria Abubakar

International Meeting for Applied Geoscience and Energy (IMAGE)

... of a fully automated deep-learning-based digitization engine to transform well log data embedded in raster images into digital data that is saved in JSON...

2022

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