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The AAPG/Datapages Combined Publications Database

Showing 624 Results. Searched 200,691 documents.

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Generating high-quality labels for deep learning CO2 monitoring using local orthogonalization

Shuang Gao, Sergey Fomel, Yangkang Chen

International Meeting for Applied Geoscience and Energy (IMAGE)

... label generation. We implement a modified 3D U-Net deep learning model to interpret the seismic attributes associated with CO2 injections for complex...

2024

AAPG RM Section Meetings

Search and Discovery.com

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Comparative Algorithm Machine Learning Approaches for Predictive Analysis of Well Log Data: A Case Study in the Central Sumatra Basin

Nungga Saputra, Hafid Rizki Nur Rohman, Puspa Alifya, Patria Ufaira Aprina

Indonesian Petroleum Association

... of Long-Short Term Memory (LSTM) and Bi-LSTM. The evaluation of each algorithm model uses field data from the Central Sumatra Basin. Classification metrics...

2024

Strong Foundations, Deep Integration, Infinite Possibilities

James Lowell, Peter Szafian, Nicola Tessen

GEO ExPro Magazine

... years and is effective for building a conceptual model of the geology and QC’ing the individual faults and overall interpretation whilst picking...

2019

Seismic Characterization of Large-scale Sandstone Intrusions

Mads Huuse, Joe Cartwright, Andrew Hurst, Noralf Steinsland

AAPG Special Volumes

... resolution varies with bed thickness, velocity, and frequency. (a) Wedge model convolved with a Ricker wavelet. The vertical seismic resolution is defined...

2007

Seismic fault proximity to production

Jesse Lomask, Toby Burrough, Allison Gilmore, Michael Pyrcz

International Meeting for Applied Geoscience and Energy (IMAGE)

... learning can be utilized to learn and model the relationships between well performance, proximity to faults and the various associated fault attributes...

2022

Deep-Learning-Based Prediction of Post-Fracturing Permeability Field for Development Strategy Optimization in Unconventional Reservoirs

Jiehao Wang, Yunhui Tan, Baosheng Liang, Xinhui Min, Chaoshun Hu, Chao Zhao, Yuyu Wang, Mike Li, Yuguang Chen, Gerardo Jimenez, Shahzad Khan

Unconventional Resources Technology Conference (URTEC)

... number of wells and geological scenarios. A deep-learning-based model (Artificial Learning Fracture, or ALF) was developed to accelerate the hydraulic...

2022

Abstract: Automatic Fault Tracking from 3D Seismic Data Using the 2D Continuous Shearlet Transform with an Example from the Algerian Sahara; #91210 (2025)

Sid-Ali Ouadfeul

Search and Discovery.com

... transforms have introduced more powerful tools for seismic image analysis. The wavelet transform, while effective in time-frequency localization...

2025

What Broke? Microseismic analysis using seismic derived rock properties and structural attributes in the Eagle Ford play

Robert Meek, Bailo Suliman, Robert Hull, Hector Bello, Doug Portis

Unconventional Resources Technology Conference (URTEC)

... regression analysis technique. Rock properties and structural attributes are combined with an ellipsoid stimulation model around the well bore...

2013

Abstract: A Deep Learning Saturation Imaging Framework to Optimize Reservoir Contact While Drilling; #91204 (2023)

Abdallah AlShehri, Klemens Katterbauer, Ali AlYouesf

Search and Discovery.com

... framework for the optimization of hydrocarbon contact while drilling. The framework utilizes a deep learning convolutional imaging framework in order...

2023

Seismic-based paleoenvironmental analysis of the Paleocene carbonate shelf in Ajdabiya Trough, north-central of Libya

Abdeladim M. Asheibi

Bulletin of Canadian Energy Geoscience (CEGA)

..., constrained sparse spike inversion (Debeye and Riel, 1990). All these methods resolve the components of the convolutional model in each seismic trace...

2023

Multi-Level of Fracture Network Imaging: A HFTS Use Case and Knowledge Transferring

Guoxiang Liu, Abhash Kumar, Song Zhao, Chung Yan Shih, Veronika Vasylkivska, Paul Holcomb, Richard Hammack, Jeffery Ilconich, Grant Bromhal

Unconventional Resources Technology Conference (URTEC)

... making in reservoir management (Left, C). This machine learning model optimizes relatively rapidly (Right, A), matches well with observed data (Right...

2022

Multi-conditional seismic velocity synthesis using an autoregressive transformer network

Randy Harsuko, Shijun Cheng, Tariq Alkhalifah

International Meeting for Applied Geoscience and Energy (IMAGE)

... in a generative model. These stored velocity model distributions can be utilized to regularize inverse problems, like full waveform inversion. However, most...

2024

Abstract: Real-time Bit Wear Prediction and Deployment Validation in Challenging Hard and Heterogeneous Sandstones using 3D Detailed and Simplified Physics-Based Progressive Wear Models; #91204 (2023)

Guodong (David) Zhan, William B. Contreras Otalvora, Xu Huang, Reed Spencer, John Bomidi

Search and Discovery.com

... formulas based on decades of drilling mechanics research are implemented. The detailed physics-based model was used in the design workflow to simulate...

2023

Predicting Coiled-Tubing Drilling Dynamics Using Transformers

Carlos Urdaneta, Cheolkyun Jeong, Xuqing Wu, Jiefu Chen

Unconventional Resources Technology Conference (URTEC)

... tailored for CTD drilling time series data. This model leverages its ability to learn long-term dependencies and subtle patterns within the data...

2024

Earth Model Building in Real-Time with an Automated Machine Learning Framework - A Midland Basin Example

Altay Sansal, Muhlis Unaldi, Edward Tian, Gareth Taylor

Unconventional Resources Technology Conference (URTEC)

...Earth Model Building in Real-Time with an Automated Machine Learning Framework - A Midland Basin Example Altay Sansal, Muhlis Unaldi, Edward Tian...

2021

Estimation of TOC and Brittleness Volumes and Correlation with Reservoir Production

Sumit Verma, Tao Zhao, Kurt J. Marfurt, Deepak Devegowda, Dario Grana

Unconventional Resources Technology Conference (URTEC)

... criteria for step-wise multilinear regression for including well logs in the regression model (Hampson et al., 2001). Validation correlation...

2016

Late Devonian Glacially-Influenced Marine Sedimentation in Western Gondwana: The Cumana Formation, Altiplano, Bolivia

Enrique Diaz Martinez, Peter E. Isaacson

CSPG Special Publications

... 1985. Pebble fabric in an ice-rafted diamicton. Journal of Geology, v. 93, p. 577-592. Dowdeswell, J.A. 1988. A model for iceberg sedimentation...

1994

Wave-equation based inversion for carbonate reservoir characterization in Kuwait

Rao Narhari, Ahmad Al-Sabari, Afrah Al-Ajmi, Justin Ugbo, Jeremy Harris, Gerard Soto, Panos Doulgeris

International Meeting for Applied Geoscience and Energy (IMAGE)

... on the convolutional model synthetic compared to the seismic gather. This is because transmission is neglected in this type of modelling and in some cases...

2024

Neural network assisted responses simulation and data correction of array laterolog in invaded formations

Yueyang Han, Lei Wang, Donghan Hao, Xiyong Yuan, Nan Wang, Zhen Yang, Jianwen Zhou, Liwei Li

International Meeting for Applied Geoscience and Energy (IMAGE)

... correction method for array laterolog in invaded formations. First, a three layered cylindrically layered model, which takes into account borehole...

2024

Kerogen-Bitumen-Porosity Nexus: Insights from Multi-Basinal Collocated SEM-Optical Light Petrography

Shaina Kelly, Michelle Johnston, Bernard Lee, Richard San Martin

Unconventional Resources Technology Conference (URTEC)

... SEM stub which is then ready for Broad ION Beam milling (Fischione Model 1060 dual beam system) for a minimum of 3 hours to get past most plucks...

2019

Pushing the envelope of seismic stratigraphic interpretation: a case-study from the Mannville Group using small 3-D surveys

M. Smaili, B.S. Hart

CSPG Bulletin

..., we used model-based inversion (e.g. Veeken and Da Silva, 2004) to convert the 3-D seismic volumes to acoustic impedance2. This approach integrates...

2018

Optimal control of geological carbon storage using multi-physical monitoring and deep reinforcement learning

Kyubo Noh, Andrei Swidinsky

International Meeting for Applied Geoscience and Energy (IMAGE)

... constant injection strategies, especially given uncertainty in the permeability model; 2) a multi-physical monitoring approach enhances this policy...

2024

Revisiting Brown Fields: A lookback on unforeseen opportunities in a late life field

Hifzhul ‘Arif Ahmad Munif, Ismail Marzuki Gazali, Hairul Hafez Abu Bakar, Alfian Termizi, Wan Mohd Nazrullah Mohamed Zin, Nur Syakirah Muhammad Yusoff, Zainal Arifin Suwito, Chin Tee Ang

International Meeting for Applied Geoscience and Energy (IMAGE)

... a major challenge back then due to the mismatch between the results from the Dynamic Model versus the actual well result, leading to 2 wells being...

2024

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