Welcome to the new Datapages Archives
Datapages has redesigned the Archives with new features. You can search from the home page or browse content from over 40 publishers and societies. Non-subscribers may now view abstracts on all items before purchasing full text. Please continue to send us your feedback at emailaddress.
AAPG Members: Your membership includes full access to the online archive of the AAPG Bulletin. Please login at Members Only. Access to full text from other collections requires a subscription or pay-per-view document purchase.
Welcome to the new Datapages Archives
Search Results > New Search > Revise Search
The AAPG/Datapages Combined Publications Database
Showing 8,073 Results. Searched 195,387 documents.
Data Driven Oil Production Prediction and Uncertainty Quantification for Unconventional Asset Development Planning Through Machine Learning
Xiang (Rex) Ren, Jichao Yin, Feng Xiao, Sasha Miao, Sri Lolla, Changqing Yao, Steve Lonnes, Huafei Sun, Yang Chen, James S. Brown, Jorge Garzon, Piyush Pankaj
Unconventional Resources Technology Conference (URTEC)
... the uncertainty of the estimator given a known predicted value or a known true label. URTeC 3865670 6 Figure 6. Prediction error quantifications. 1...
2023
Evergreen digital subsurface geostructure and geomechanics model for optimized well drilling
Gongrui Yan, Qihong Lei, Peng Liu, Lin Liang, Ting Lei, Yansong Huang, Paul Bolchover, Gaige Wang, Haipeng Zhao, Maoyou Sun
International Meeting for Applied Geoscience and Energy (IMAGE)
... et al, 2022), and thus was implemented in this digital workflow as a primary learning/prediction algorithm for formation material property patterns...
2023
Assessing spatial uncertainty in reservoir characterization for carbon sequestration planning using public well-log data: A case study
Erik R. Venteris, Kristin M. Carter
Environmental Geosciences (DEG)
..., investigate and quantify the spatial structure of the data for use in prediction, and evaluate the error of the predictions. A map, whether drawn...
2009
Abstract: Digital Rock Physics for Elastic Property Prediction in Carbonate Source Rocks; #91204 (2023)
Madhumita Sengupta, Shannon Eichmann
Search and Discovery.com
...Abstract: Digital Rock Physics for Elastic Property Prediction in Carbonate Source Rocks; #91204 (2023) Madhumita Sengupta, Shannon Eichmann Digital...
2023
Abstract: Research and Application of Formation Image Analysis Technology in Paleogene Reservoir Prediction, Bohai Bay, China, by Jifeng, Deng; #90163 (2013)
Search and Discovery.com
2013
Extended Abstract: Vricon: The World in 3D
Lamar Landry, Robert Arbo
Houston Geological Society Bulletin
... with the world’s best digital elevation modelling, 3D geospatial data, and 3D visualization platform. The Vricon solution delivers extremely precise...
2016
Facies classification with different machine learning algorithm An efficient artificial intelligence technique for improved classification
Partha Pratim Mandal, Reza Rezaee
Petroleum Exploration Society of Australia (PESA)
... prediction modelling, the error is calculated between original and predicated value, statistically known as mean squared error (MSE) whereas...
2019
3D Digital Outcrop Modeling of the Mixed Clastic-Carbonate Miocene Deposits of Dam Formation, Eastern Saudi Arabia
Search and Discovery.com
N/A
Quantification and Prediction of Braided Fluvial Systems Using Digital Outcrop Models
Search and Discovery.com
N/A
Some Recent Advances in Exploration Geophysical Techniques and Data Processing
Edward F. Zagst, C. L. Robinson
GCAGS Transactions
... error introduced to playback, the digital computer does not recognize this and will process the erroneous data as ordered. The close proximity...
1965
Synthetic Well Log Generation Using Machine Learning Techniques
Oyewande Akinnikawe, Stacey Lyne, Jon Roberts
Unconventional Resources Technology Conference (URTEC)
... PE Prediction To select the champion model, the average squared error (ASE) of the validation data set of the competing models are compared...
2018
Innovative Deep Autoencoder and Machine Learning Algorithms Applied in Production Metering for Sucker-Rod Pumping Wells
Peng Yi, Xiong Chunming, Zhang Jianjun, Zhang Yashun, Gan Qinming, Xu Guojian, Zhang Xishun, Zhao Ruidong, Shi Junfeng, Liu Meng, Wang Cai, Chen Guanhong
Unconventional Resources Technology Conference (URTEC)
... and digital field facilities establish a fundamental foundation for developing a machine learning application. This paper presents a method to predict...
2019
A Fiber-optic Assisted Multilayer Perceptron Reservoir Production Modeling: A Machine Learning Approach in Prediction of Gas Production from the Marcellus Shale
Payam Kavousi Ghahfarokhi, Timothy Carr, Shuvajit Bhattacharya, Justin Elliott, Alireza Shahkarami, Keithan Martin
Unconventional Resources Technology Conference (URTEC)
...A Fiber-optic Assisted Multilayer Perceptron Reservoir Production Modeling: A Machine Learning Approach in Prediction of Gas Production from...
2018
An Innovative and Simple Approach to Spatially Evaluate a Proxy for Stress Shadow Effect of Unconventional Reservoir Completion Activity
Shane J. Prochnow, Alena Grechishnikova, Paymon Hossaini, Mohamed Ibrahim, Sandra Saldana
Unconventional Resources Technology Conference (URTEC)
..., and interactions of the induced hydraulic fractures. We introduce an innovative and patent-pending digital workflow for measuring an operationally induced...
2022
Seismic Noise Estimation and Error Propagation Applied to Post-Stack Seismic Inversion
Search and Discovery.com
N/A
Statistical Analysis of the Petrophysical Properties of the Bakken Petroleum System
Aimen Laalam, Habib Ouadi, Ahmed Merzoug, Abderraouf Chemmakh, Aldjia Boualam, Sofiane Djezzar, Ilyas Mellal, Meriem Djoudi
Unconventional Resources Technology Conference (URTEC)
... porosity. Evaluating the obtained correlation and the machine learning algorithms was based on the R2 score, the Minimum Squared Error (MSE), and the Mean...
2022
Uncertainty Analysis in Geomechanics Modeling for Fracture Prediction
Search and Discovery.com
N/A
Automated Data and ML Pipelines to Accelerate Subsurface Digitalization
Raj Kannan, Vikas Jain
Unconventional Resources Technology Conference (URTEC)
... into elastic compute-clusters for reliable result prediction on new datasets. LA URTeC 3963931 2 Such a digital system can account for ML models drift...
2023
Estimation of Uranium Endowment in the Westwater Canyon Member, Morrison Formation, San Juan Basin, Using a Data-Directed Numerical Method
Richard B. McCammon, Warren I. Finch, John O. Kork, Nancy J. Bridges
AAPG Special Volumes
... of this error can be obtained using the validation area. When one-level prediction is used, two types of error can occur: (A) the error of assigning...
1986
Digital Reproduction of Clastic Sedimentary Architecture by Means of Relational Databases: Characterization and Prediction of Fluvial and Deep-Marine Reservoirs
Search and Discovery.com
N/A
Porosity and Permeability Estimation using Neural Network Approach from Well Log Data, #41276 (2014)
Akhilesh K. Verma, Burns A. Cheadle, Aurobinda Routray, William K. Mohanty, Lalu Mansinha,
Search and Discovery.com
... and permeability prediction from well log data is well-suited to neural networks and other computer-based techniques. The present study aims to estimate formation...
2014
Abstract: Dynamic Digital Reservoir Characterization and Management Carthage Field, Panola County, Texas, by Ralph A. Williams and Mark C. Robinson; #90914(2000)
Search and Discovery.com
2000
A Workflow for Predicting Porous Sand via Seismic Attribute Analysis of a Missourian Age Mid-Continent Wash
Ryan Fairfield, Matthew Stone, Renjun Wen
Unconventional Resources Technology Conference (URTEC)
... employed and its results are discussed, but also our attempts to avoid spurious correlation, possible sources of error in the porous sand prediction...
2013
Enhanced Two Dimensional Grain Size Analysis Through the Use of Calibrated Digital Petrography
Search and Discovery.com
N/A