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The AAPG/Datapages Combined Publications Database
Showing 15,644 Results. Searched 200,616 documents.
The acoustic wave curve prediction technology based on support vector machine and its application in depth prediction during horizontal wells drilling
Hebing Tang, Jun Ming, Lei Liu, Zhenglong Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
...The acoustic wave curve prediction technology based on support vector machine and its application in depth prediction during horizontal wells...
2022
Predicting horizons for salt body models using machine learning from neighboring seismic surveys: A case study from the northern Gulf of Mexico
Andrew Reisdorf, Dan Ferdinand Fernandez, Hugo Enrique Munoz Cuenca, Ryan King, David Manzano, Gavin Menzel-Jones
International Meeting for Applied Geoscience and Energy (IMAGE)
... ML Prediction on Nearby Seismic Surveys Geologic Setting Seismic Datasets The northern Gulf of Mexico is characterized by the prevalence...
2022
Using recursive inversion as input for gross-rock volume extraction from lithology prediction volumes: How bad can it be?
James Shadlow
Petroleum Exploration Society of Australia (PESA)
...Using recursive inversion as input for gross-rock volume extraction from lithology prediction volumes: How bad can it be? James Shadlow Using...
2019
Prediction of Normal-Fault Geometries--A Sensitivity Analysis
Martha Oliver Withjack, Eric T. Peterson
AAPG Bulletin
...Prediction of Normal-Fault Geometries--A Sensitivity Analysis Martha Oliver Withjack, Eric T. Peterson 1993 1860 1873 77 11. (November) Several...
1993
Large-Scale Pore Pressure Prediction After Pre-Stack Depth Migration in the Caspian Sea (Geophysics Paper 24)
Norbert van de Coevering, Hazim Hameed Al-Dabagh, Liau Min Hoe, Tony Jolly
Geological Society of Malaysia (GSM)
...Large-Scale Pore Pressure Prediction After Pre-Stack Depth Migration in the Caspian Sea (Geophysics Paper 24) Norbert van de Coevering, Hazim Hameed...
2008
Application of Both Physics-Based and Data-Driven Techniques for Real-Time Screen-Out Prediction with High Frequency Data
Jianlei John Sun, Arvind Battula, Brandon Hruby, Paymon Hossaini
Unconventional Resources Technology Conference (URTEC)
...Application of Both Physics-Based and Data-Driven Techniques for Real-Time Screen-Out Prediction with High Frequency Data Jianlei John Sun, Arvind...
2020
Reservoir Quality Prediction in Sandstones and Carbonates: An Overview
Julie A. Kupecz, Jon Gluyas, Salman Bloch
AAPG Special Volumes
...Reservoir Quality Prediction in Sandstones and Carbonates: An Overview Julie A. Kupecz, Jon Gluyas, Salman Bloch 1997 VII XXIV AAPG Memoir 69: AAPG...
1997
Artificial Neural Networks for Corrosion Rate Prediction in Gas Pipelines
Sumarni, Deden Supriyatman, Kuntjoro Adjie Sidarto, Rochim Suratman, Rinaldy Dasilfa
Indonesian Petroleum Association
...Artificial Neural Networks for Corrosion Rate Prediction in Gas Pipelines Sumarni, Deden Supriyatman, Kuntjoro Adjie Sidarto, Rochim Suratman...
2012
Application of Seismic Multiattribute Analysis for Carbonate Buried Hill Reservoir Characterization
Xuetong Liu, Tongxing Xia, Jiyan Cai, Min Gong
International Meeting for Applied Geoscience and Energy (IMAGE)
... China National Offshore Oil Corporation-Tianjin Branch ,Tianjin, China Summary The precise carbonate buried hill reservoir prediction is still...
2023
Abstract: Towards Optimal Simulation Jobs Scheduling Using Machine Learning Techniques for Predicting Simulation Runtime; #91204 (2023)
Sulaiman Al-Gannas, Razen Al-Harbi, Ghaidaa Al-Kuhaili, Ali Al-Turki
Search and Discovery.com
... minimize wait time and maximize the HPC resource utilization. Therefore, an accurate prediction of simulation job’s runtime is considered an essential...
2023
The Application of Full Azimuth 3D Seismic Fracture Detection Technology in the Prediction of Favorable Reservoirs within the Shengbei 5 Well Area Tight Sandstone Region; #41226 (2013)
Xiang Guo, Jianbin Ran, Xiaowei Yu, Zhengtao Hu, Zhang Yuan, Zhang Jinxue, and Fulei Li
Search and Discovery.com
...The Application of Full Azimuth 3D Seismic Fracture Detection Technology in the Prediction of Favorable Reservoirs within the Shengbei 5 Well Area...
2013
A New AVO Attribute for Hydrocarbon Prediction and Application to the Marmousi II Dataset, #41764 (2016).
Changcheng Liu, Prasad Ghosh
Search and Discovery.com
...A New AVO Attribute for Hydrocarbon Prediction and Application to the Marmousi II Dataset, #41764 (2016). Changcheng Liu, Prasad Ghosh A New AVO...
2016
Hydrocarbon Accumulation Uncertainty in Miocene Carbonate Build-Ups, NEJB, #11295 (2020).
Ginanjar Mahar Pamungkas
Search and Discovery.com
... oral presentation given at 2019 AAPG Asia Pacific Region, The Art of Hydrocarbon Prediction: Managing Uncertainties, Bogor, Greater Jakarta...
2020
GeoMind: An intelligent earth model building tool
Saleh Al Saleh, Ewenet Gashawbeza, Mustafa Marzooq, Hussam Banaja, Husain Al Shakhs, Jianwu Jiao
International Meeting for Applied Geoscience and Energy (IMAGE)
... an elastic modeling program to simulate the seismic response of each model. This continuous process keeps enhancing the prediction accuracy of GeoMind...
2022
Boulder prediction for offshore windfarm site evaluation using an interactive 2D CNN and a unique weighting scheme on unmigrated seismic
Samuel Chambers, Jesse Lomask
International Meeting for Applied Geoscience and Energy (IMAGE)
...Boulder prediction for offshore windfarm site evaluation using an interactive 2D CNN and a unique weighting scheme on unmigrated seismic Samuel...
2023
Advanced Machine Learning Methods for Prediction of Fracture Closure Pressure, ClosureTime, Permeability and Time to Late Flow Regimes From DFIT
Mohamed Ibrahim Mohamed, Dinesh Mehta, Mohamed Salah, Mazher Ibrahim, Erdal Ozkan
Unconventional Resources Technology Conference (URTEC)
...Advanced Machine Learning Methods for Prediction of Fracture Closure Pressure, ClosureTime, Permeability and Time to Late Flow Regimes From DFIT...
2020
A Machine-Learning-Based Workflow for Drilling Risk Prediction of Wellbore Instability and Trajectory Optimization in Ultra-Deep Formation
Hanqing Wang, Ruxin Zhang, Ziyan Deng, Jin Meng, Han Wang, Yujie Zhou, Fan Yang, Ji Chang, Yitian Xiao, Huiwen Pang
Unconventional Resources Technology Conference (URTEC)
...A Machine-Learning-Based Workflow for Drilling Risk Prediction of Wellbore Instability and Trajectory Optimization in Ultra-Deep Formation Hanqing...
2024
Production Diagnostics with Time Lapse Geochemistry
Yishu Song, Eric Michael
Unconventional Resources Technology Conference (URTEC)
... enables accurate prediction of key production metrics, like GOR, water cut URTeC 5398 2 and cumulative oil volume, and potential flow assurance...
2021
Real-Time Data-Driven Framework for Rate of Penetration Optimization of S-Shaped Wells in a Southern Iraq Field Using Prior Knowledge
Ethar H. AlKamil, Atheer Alattar, Mahdi Karnot, Muntadhar Talib, Abdulla Mazin, Salam Taher
Unconventional Resources Technology Conference (URTEC)
...) in the prediction models. The accuracy of these models then evaluated based on the correlation coefficient. The algorithm with the highest correlation coefficient...
2024
Perceptual quality-based model training under annotator label uncertainty
Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... and prediction uncertainty. We observe that the model’s generalizability and prediction uncertainty degrade with the presence of low-quality noisy...
2023
Porosity distribution prediction of untapped Gumai Formation by applying multi-attribute analysis: A case study in South Sumatra Basin
Mohammad Risyad, Muhammad Fahmi Yahya Faizan
Petroleum Exploration Society of Australia (PESA)
...Porosity distribution prediction of untapped Gumai Formation by applying multi-attribute analysis: A case study in South Sumatra Basin Mohammad...
2019
Overpressure Mechanisms in Compressional Tectonic of Borneo Deepwater Fold-Thrust Belt
Geovani C. Kaeng, Sarah Sausan, Zulfikar Simatupang
Indonesian Petroleum Association
... overpressure in deepwater Borneo and revisits the common PP prediction methods. The current established empirical effective stress-based PP prediction...
2016
ANN Method, A New Approach to Find Potential Bypass Zones in Mature Semberah Field, East Kalimantan
Gunna Satria H. Kusumah, Robhy C. Permana, Ridha S. Riadi, Yoseph R. Apranda
Indonesian Petroleum Association
... to build a model. This ANN model later on can be used to perform prediction of outcomes from a larger and different set of input data. ANN itself has been...
2018
ISCA: Quick Real-Time Sand Potential Prediction Simulator based on Critical Drawdown Failure and Machine Learning Model
Alaex Izzal Biladi, Mohammad Edwin Alif Utama, Jihaan Aliyyah Widagdo, Vincent Chandra, Steven Chandra
Indonesian Petroleum Association
...ISCA: Quick Real-Time Sand Potential Prediction Simulator based on Critical Drawdown Failure and Machine Learning Model Alaex Izzal Biladi, Mohammad...
2021
A Novel Method of Automatic Training Data Selection for Estimating Missing Well Log Zone Using Neural Networks; #41055 (2012)
Yingwei Yu, Douglas Seyler, Michael D. McCormack
Search and Discovery.com
..., for approaches using neural networks, the accuracy of the prediction is highly dependent on the quality of the training data. The user has to select...
2012