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The AAPG/Datapages Combined Publications Database
Showing 8,497 Results. Searched 200,293 documents.
Reconnaissance spatial analysis of the hydrogeology of closed underground coal mines
Annie J. Morris, Joseph J. Donovan, Jane E. Thies
Environmental Geosciences (DEG)
... sources, (2) interpolation of coalbed structure contours from the point data and error and outlier analysis, (3) digital intersection of coal surface...
2008
The Rise of the Machines, Analytics, and the Digital Oilfield: Artificial Intelligence in the Age of Machine Learning and Cognitive Analytics
Kathy Ball, Tristan Arbus, Uchenna Odi, Jessamyn Sneed
Unconventional Resources Technology Conference (URTEC)
...The Rise of the Machines, Analytics, and the Digital Oilfield: Artificial Intelligence in the Age of Machine Learning and Cognitive Analytics Kathy...
2017
Abstract: Directional Surveys in a Digital Age, by J. Sharry; #90960 (1995).
Search and Discovery.com
1995
ABSTRACT: Beyond Outcrop Visualization: Building Reservoir and Depositional Models in a CAVE Environment, by Martinsen, Ole, Tore M Loseth, John Thurmond, Trond Lien, Xueming Xu, Carlos Aiken; #90026 (2004)
Search and Discovery.com
2004
2008
Abstract: Palaeogeography and Coupled Ocean-Atmosphere Palaeo-Earth Systems Modelling: Application for the Prediction of Reservoir Facie; #90063 (2007)
Search and Discovery.com
2007
Abstract: Palaeogeography and Coupled Ocean-Atmosphere Palaeo-Earth Systems Modelling: Application for the Prediction of Reservoir Facie; #90063 (2007)
Search and Discovery.com
2007
Abstract: The Informed Prediction of Petroleum Systems Elements in Frontier Plays; #90310 (2017)
Andy Davies, Benjamin Greselle, Stephen Hunter, Alan Haywood, Fabian Kohlmann
Search and Discovery.com
...Abstract: The Informed Prediction of Petroleum Systems Elements in Frontier Plays; #90310 (2017) Andy Davies, Benjamin Greselle, Stephen Hunter, Alan...
2017
Regional Overpressure Modeling in Onshore Kuwait : Impacts on Pressure Prediction before Drilling and Petroleum System Behaviour
Search and Discovery.com
N/A
Application of Deep Learning Neural Networks to Petrophysical Property Prediction: Case Study from the Powder River Basin
Cameron Snow
Unconventional Resources Technology Conference (URTEC)
...Application of Deep Learning Neural Networks to Petrophysical Property Prediction: Case Study from the Powder River Basin Cameron Snow URTeC: 3702980...
2022
Digital Transformation and the Convergence of New Emerging Digital Technologies
Search and Discovery.com
N/A
Estimating soil strength using ultra high-resolution seismic and geological unit
Donglin Zhu, Ge Jin, Yi Shen, Xuefeng Shang, Shuang Hu, Jinbo Chen, Vanessa Goh
International Meeting for Applied Geoscience and Energy (IMAGE)
...d error (MSE) to measure the discrepancy between predicted outputs and the actual CPT labels: , 𝐿!*+ = 1 )(𝑦' − %' )% 𝑦 𝑁 ')- where N is the numbe...
2024
Deterministic versus unsupervised machine learning approach for facies modeling within the Late Devonian Duvernay Formation, Western Canada Sedimentary Basin, Alberta
Elisabeth G. Rau, Stacy C. Atchley, David W. Yeates, Anna M. Thorson, and Katherine H. Breen
AAPG Bulletin
... which log-based, deterministic algorithms are developed for facies prediction in wells lacking core control. In contrast, stochastic unsupervised...
2024
Well Cycling Optimization in Liquid Loaded Wells
Prithvi Singh Chauhan, Meher Surendra, Zhuoran Li, Sathish Sankaran
Unconventional Resources Technology Conference (URTEC)
... Optimization in Liquid Loaded Wells Prithvi Singh Chauhan*, Meher Surendra, Zhuoran Li, Sathish Sankaran, Xecta Digital Labs Ltd. Copyright 2025...
2025
Abstract: The development of a Geographic Information System environmental hazard prediction model for Cheticamp River, Cape Breton Island, Nova Scotia
Melanie L. Barker, Ian Spooner, Martin Ethier
Atlantic Geology
...Abstract: The development of a Geographic Information System environmental hazard prediction model for Cheticamp River, Cape Breton Island, Nova...
2001
Prediction of Petrophysical Properties of Trenton-Black River (Ordovician) Reservoirs by Comparing Pore Architecture and Perme
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 Perme John E. Thornton and G...
2011
Abstract: Porosity and Permeability Estimation using Neural Network Approach from Well Log Data; #90174 (2014)
Akhilesh K. Verma, Burns A. Cheadle, Aurobinda Routray, William K. Mohanty, and Lalu Mansinha
Search and Discovery.com
... systems that are typically distributed in a spatially non-uniform and non-linear manner. In this context, porosity and permeability prediction from well...
2014
Scale-Dependent Correlation to Improve Water Saturation and Permeability Estimates in Unconventional Reservoirs
Abdelrahman Kotb, Shannon L. Eichmann, Mita Sengupta
Unconventional Resources Technology Conference (URTEC)
... correlations to improve the estimation of these properties. As a result, this work aims to use digital rock properties from high-resolution images...
2019
Abstract: Sensing Seismic Signal in OBN without Equipment Artefacts with the 3rd Generation of MEMS; #91204 (2023)
Nicolas Tellier, Stephane Laroche, Philippe Herrmann
Search and Discovery.com
...-receiver or blending context. A high-fidelity alternative to geophones today is digital seismic accelerometers based on MEMS (Micro-Electromechanical Systems...
2023
A COLLECTOR’S GUIDE TO AAPG PUBLICATIONS, Compiled by Raymond P. Sorenson, #100001 (2003).
Search and Discovery.com
2003
Enhancing Lithology Classification through a Deep Learning Framework
P. Zhang, T. Gao, R. Li
Unconventional Resources Technology Conference (URTEC)
... a model and test a machine-learning pipeline, which was then applied to a previously unseen dataset for lithology prediction. A petrophysicist...
2025
Reservoir Characterization of the Bakken Petroleum System - A Regional Data Analysis Method (Phase I of II)
Kaushik Gangiredla, Donald Westacott
Unconventional Resources Technology Conference (URTEC)
...) database. Data Error Minimization Construction and data transfer to the digital database created by the authors was facilitated using a series of data...
2014
Abstract: Maximizing the Potential of the Digital Outcrop Revolution: The Automated Quantification of Fractured Carbonate Reservoir Analogues, by D. W. Hunt, P. Gillespie, J. Thurmond, and E. Monsen; #90090 (2009).
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2009
Virtual Outcrop Models to Multiple Point Statistics: Improved Reservoir Modeling From Virtual Outcrops Supported by Digital Field Computing
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N/A
-- no title --
user1
Search and Discovery.com
... Formation using a drone-based Digital Outcrop Model (DOM). Digital photogrammetry enables complete 3D observation of fracture geometries. This approach...
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