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The AAPG/Datapages Combined Publications Database
Showing 56,342 Results. Searched 200,693 documents.
An Ensemble-Based History Matching Approach for Reliable Production Forecasting from Shale Reservoirs
Usman Aslam, Rafel M. Bordas
Unconventional Resources Technology Conference (URTEC)
... to create a more realistic representation of the Stimulated Reservoir Volume (SRV). Micro-seismic event locations, magnitude, and fracture plane...
2020
Data Integration through a Standard Classification Data Model – Example: Permian Basin Stratigraphy
Mark R. Vining
West Texas Geological Society
...Data Integration through a Standard Classification Data Model – Example: Permian Basin Stratigraphy Mark R. Vining 2001 177 187 A model...
2001
A Unified Leak-off and Flow-back Model for Fractured Reservoirs
Dylan Copeland
Unconventional Resources Technology Conference (URTEC)
...A Unified Leak-off and Flow-back Model for Fractured Reservoirs Dylan Copeland URTeC: 1918356 A Unified Leakoff and Flowback Model for Fractured...
2014
3D Computer Simulation of Carbonate Depositional Facies Distribution and Productivity Rates Using Continuous Set Theory to Mimic Geologists' Reasoning
William C. Parcell
GCAGS Transactions
... 4. Schematic representation of the carbonate depositional processes that are integrated into the fuzzy computer model. End_Page 444...
2000
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
... in multiple real-time trial tests. Detailed 3D and Simplified Progressive Wear Model Figure 1 Detailed 3D representation of bit-rock interaction A detailed...
2023
Reservoir models selection based on volumetric and connectivity metrics
Peng Li, Dario Grana, Leonardo Azevedo
International Meeting for Applied Geoscience and Energy (IMAGE)
... coordinates associated with the representation of the model realizations in a low dimensional space obtained by applying dimensionality reduction...
2022
Solution for Anomaly Detection in Oil & Gas Well Drilling Sensors Based on Recurrent Neural Networks: A Big Data Approach
María Yamile Orellano, Marilyn Vargas, Julián Benavidez
Unconventional Resources Technology Conference (URTEC)
... the operations. The AI model utilized in this study empowers users to adapt and configure it effectively, ensuring a more accurate representation of specific...
2023
Beneath the surface 3D geological model of northern Bowen Basin
Mojtaba Rajabi, Renate Sliwa, Joan Esterle
Australian Energy Producers Journal
...Beneath the surface 3D geological model of northern Bowen Basin Mojtaba Rajabi, Renate Sliwa, Joan Esterle SUPPLEMENT | EXTENDED ABSTRACT https...
Unknown
Advances in Depth Imaging Technology: Rock Physics Guided Migration of Seismic Data in 3D
Nader C. Dutta, Sherman Yang, Jianchun Dai
Indonesian Petroleum Association
... velocities that are typically unfit for beyond imaging analyses such as pore pressure. Because of this, the Earth Model for Imaging is usually not the same...
2012
Velocity model building from 3D surface seismic data at the Utah FORGE EGS site
Yun-Ha Jung, Nori Nakata, Sea-Eun Park, Ju-Won Oh
International Meeting for Applied Geoscience and Energy (IMAGE)
...Velocity model building from 3D surface seismic data at the Utah FORGE EGS site Yun-Ha Jung, Nori Nakata, Sea-Eun Park, Ju-Won Oh Velocity model...
2024
A Two-Phase Well Test Analysis for Water Injection Wells
Takao Namba
Indonesian Petroleum Association
.... In this study a power-law model representation is used for the relative permeability curves as follows: where nw and no represent the shapes...
1989
Simultaneous inversion of velocity and angle-dependent reflectivity
Nizar Chemingui, Yang Yang, Jaime Ramos-Martinez, Guanghui Huang, Dan Whitmore, Sean Crawley, Elena Klochikhina, Sriram Arasanipalai
International Meeting for Applied Geoscience and Energy (IMAGE)
... significantly enhances our understanding of subsurface and reservoir properties. The outcomes of our approach encompass the velocity model, reflectivity...
2023
Seismic imaging profile noise suppression based on self supervised deep learning: a case study in the Yellow Sea
Qiang Xu
International Meeting for Applied Geoscience and Energy (IMAGE)
... network to suppress spatial aliasing and random noise in seismic imaging stacked profiles. This article designs an autoencoder model, mainly composed...
2024
Summary and Conclusions of Bakken and Three Forks Field Study
Svetlana Ikonnikova, Gürcan Gülen, John Browning
Unconventional Resources Technology Conference (URTEC)
...) production model and 30year production outlook for oil, gas and water for each producing horizon and 7) a detailed accounting of the affect URTeC 2667925...
2017
Probabilistic Reservoir Characterization via Seismic Elastic Inversion in East Andaman Basin; #40880 (2012)
Mahendra Kishore, Pritam Jha, Dino Ros, and Alfonso Iunio Marini
Search and Discovery.com
... volume of East Andaman Basin Lithological calibration of Inversion output volumes Probabilistic Lithological Model Depth Conversion of Litho...
2012
Geostatistical Modelling of Hydrothermal Dolomite by PluriGaussian Simulation from Digital Outcrop Dataset (Latemar, N-Italy); #41844 (2016)
Nadya Kulyukina, Olivier Dubrule, Carl Jacquemyn
Search and Discovery.com
... instances to model carbonate reservoirs and is an improvement of previous effort to model the Latemar dolomites by Sequential Indicator Simulation...
2016
Predicting Structural Permeability in the Deep Coal Play, Tirrawarra-Gooranie fields, Cooper Basin
C.J. Bowker, B.A. Camac, S.A. Fraser
Petroleum Exploration Society of Australia (PESA)
... balance between runtime and model resolution could be achieved. Figure 1(b) shows the UDEC representation of the structural framework, including...
2018
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)
... and manual effort are required to provide horizons that are input into the earth model building process. The quality of these horizons determines...
2022
Seismic dataset-specific machine learning framework based on pretraining and fine-tuning
Tariq Alkhalifah, Randy Harsuko
International Meeting for Applied Geoscience and Energy (IMAGE)
... (the survey), and the often unique noise conditions it experiences. Capturing such characteristics in a neural network model for the efficient...
2022
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
The Evolution of FWI and its Perceived Benefits
Tony Martin, Andrew Long
Australian Petroleum Production & Exploration Association (APPEA) Journal
... between the modelled (dm) and recorded data (do) (Martin et al. 2017). The model update is then computed as a scaled representation of its gradient. Despite...
2019
Quantifying Reservoir Performance for Deepwater Slope Channel Deposits
Thomas Smith
GEO ExPro Magazine
... Reservoir Performance “Within the oil industry, reservoir model cell sizes and resolution of available data do not typically allow for the direct...
2016
Introduction to Deep Learning: Part I
Hongbo Zhou, Lasse Amundsen, Martin Landrø
GEO ExPro Magazine
... – grows more useful as the amount of data in the world grows. This image is NVIDIA’s brand representation of their AI podcast, where experts discuss...
2017
Extended Abstract: How Multibeam Data Complement and Improve Structural 2D Seismic Interpretation: Examples from the Mexican Gulf of Mexico
Roel Dirkx, Kevin Goldsmith, Jennifer Halliday, Cian O’Reilly
GCAGS Transactions
... knolls, minibasins, fault escarpments, gas and fluid escape features, and submarine channeling and slumping. Digital elevation model (DEM) attributes (Fig...
2017
The Role of Technology and Decision Analysis in Reservoir Management
Ganesh C. Thakur
Indonesian Petroleum Association
... results with other reservoir descriptions and static data and changing the model, if necessary. Thus, it is now possible for geoscientists and engineers...
1996