1-20 of 239
History matching
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

A New Simplified Kinetic Model for Hydrogen Generation During In-Situ Combustion Gasification of Heavy Oil

Mohamed Amine Ifticene, Yunan Li, Ping Song, Qingwang Yuan
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220862-MS
https://doi.org/10.2118/220862-MS
Add To Cart
View Paper titled, A New Simplified Kinetic Model for Hydrogen Generation During In-Situ Combustion Gasification of Heavy Oil
Open the PDF for A New Simplified Kinetic Model for Hydrogen Generation During In-Situ Combustion Gasification of Heavy Oil in another window
Add to Citation Manager for A New Simplified Kinetic Model for Hydrogen Generation During In-Situ Combustion Gasification of Heavy Oil
Proceedings Papers

Fast History Matching with a Customized Physics-Based Data-Driven Flow Network Model GPSNet: Application to a Giant Deep-Water Gas Field

X. Guan, Z. Wang, G. Ren, M. Hui, D. Kazanov, X. -H. Wen
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220856-MS
https://doi.org/10.2118/220856-MS
Add To Cart
View Paper titled, Fast History Matching with a Customized Physics-Based Data-Driven Flow Network Model GPSNet: Application to a Giant Deep-Water Gas Field
Open the PDF for Fast History Matching with a Customized Physics-Based Data-Driven Flow Network Model GPSNet: Application to a Giant Deep-Water Gas Field in another window
Add to Citation Manager for Fast History Matching with a Customized Physics-Based Data-Driven Flow Network Model GPSNet: Application to a Giant Deep-Water Gas Field
Proceedings Papers

Nonlinearly Constrained Life-Cycle Production Optimization Under Geological Uncertainty: A Realistic Application

Omer Lutfu Toktas, Quang Minh Nguyen, Mustafa Onur, Faruk Omer Alpak
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220821-MS
https://doi.org/10.2118/220821-MS
Add To Cart
View Paper titled, Nonlinearly Constrained Life-Cycle Production Optimization Under Geological Uncertainty: A Realistic Application
Open the PDF for Nonlinearly Constrained Life-Cycle Production Optimization Under Geological Uncertainty: A Realistic Application in another window
Add to Citation Manager for Nonlinearly Constrained Life-Cycle Production Optimization Under Geological Uncertainty: A Realistic Application
Proceedings Papers

Machine-Learning Workflow for Fracture Geometry Characterization Using High-Resolution Distributed Strain Sensing During Well Production

Wei Ma, Kan Wu, Ge Jin
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220715-MS
https://doi.org/10.2118/220715-MS
Add To Cart
View Paper titled, Machine-Learning Workflow for Fracture Geometry Characterization Using High-Resolution Distributed Strain Sensing During Well Production
Open the PDF for Machine-Learning Workflow for Fracture Geometry Characterization Using High-Resolution Distributed Strain Sensing During Well Production in another window
Add to Citation Manager for Machine-Learning Workflow for Fracture Geometry Characterization Using High-Resolution Distributed Strain Sensing During Well Production
Proceedings Papers

Efficacy Gain From a Deep Neural Network-Based History-Matching Workflow

Bicheng Yan, Yanhui Zhang
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220876-MS
https://doi.org/10.2118/220876-MS
Add To Cart
View Paper titled, Efficacy Gain From a Deep Neural Network-Based History-Matching Workflow
Open the PDF for Efficacy Gain From a Deep Neural Network-Based History-Matching Workflow in another window
Add to Citation Manager for Efficacy Gain From a Deep Neural Network-Based History-Matching Workflow
Proceedings Papers

Enhancing Reservoir Model History Matching with AI Surrogate and Ensemble Iterative Algorithms

Khaled J. Hammad, Ali A. Al-Turki, Sharizan B. Sudirman, Zaid A. Sawlan
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-221028-MS
https://doi.org/10.2118/221028-MS
Add To Cart
View Paper titled, Enhancing Reservoir Model History Matching with AI Surrogate and Ensemble Iterative Algorithms
Open the PDF for Enhancing Reservoir Model History Matching with AI Surrogate and Ensemble Iterative Algorithms in another window
Add to Citation Manager for Enhancing Reservoir Model History Matching with AI Surrogate and Ensemble Iterative Algorithms
Proceedings Papers

A Producer-Based Capacitance Resistance Model (CRM) to Characterize Oil Reservoirs with Natural Water Influx: a Realistic Application

B. Koroglu, M. Onur, Y. Li, F. O. Alpak
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-221062-MS
https://doi.org/10.2118/221062-MS
Add To Cart
View Paper titled, A Producer-Based Capacitance Resistance Model (CRM) to Characterize Oil Reservoirs with Natural Water Influx: a Realistic Application
Open the PDF for A Producer-Based Capacitance Resistance Model (CRM) to Characterize Oil Reservoirs with Natural Water Influx: a Realistic Application in another window
Add to Citation Manager for A Producer-Based Capacitance Resistance Model (CRM) to Characterize Oil Reservoirs with Natural Water Influx: a Realistic Application
Proceedings Papers

Characterizing Joint Distribution of Uncertainty Parameters and Production Forecasts Using Gaussian Mixture Model and a Two-Loop Expectation-Maximization Algorithm

Guohua Gao, Hao Lu, Carl Blom
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220846-MS
https://doi.org/10.2118/220846-MS
Add To Cart
View Paper titled, Characterizing Joint Distribution of Uncertainty Parameters and Production Forecasts Using Gaussian Mixture Model and a Two-Loop Expectation-Maximization Algorithm
Open the PDF for Characterizing Joint Distribution of Uncertainty Parameters and Production Forecasts Using Gaussian Mixture Model and a Two-Loop Expectation-Maximization Algorithm in another window
Add to Citation Manager for Characterizing Joint Distribution of Uncertainty Parameters and Production Forecasts Using Gaussian Mixture Model and a Two-Loop Expectation-Maximization Algorithm
Proceedings Papers

A Novel Surrogate Model for Reservoir Simulations Using Fourier Neural Operators

Mohammad Kazemi, Ali Takbiri-Borujeni, Hossein Nouroizeh, Arefeh Kazemi, Sam Takbiri, Clayton Wallrich
Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215103-MS
https://doi.org/10.2118/215103-MS
Add To Cart
View Paper titled, A Novel Surrogate Model for Reservoir Simulations Using Fourier Neural Operators
Open the PDF for A Novel Surrogate Model for Reservoir Simulations Using Fourier Neural Operators in another window
Add to Citation Manager for A Novel Surrogate Model for Reservoir Simulations Using Fourier Neural Operators
Proceedings Papers

Application of Hybrid Physics-Based and Data-Driven Fracture Propagation Modeling for Characterizing Hydraulic Fracture Geometry in Unconventional Reservoirs

Khaled Aldhayee, Kan Wu
Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214784-MS
https://doi.org/10.2118/214784-MS
Add To Cart
View Paper titled, Application of Hybrid Physics-Based and Data-Driven Fracture Propagation Modeling for Characterizing Hydraulic Fracture Geometry in Unconventional Reservoirs
Open the PDF for Application of Hybrid Physics-Based and Data-Driven Fracture Propagation Modeling for Characterizing Hydraulic Fracture Geometry in Unconventional Reservoirs in another window
Add to Citation Manager for Application of Hybrid Physics-Based and Data-Driven Fracture Propagation Modeling for Characterizing Hydraulic Fracture Geometry in Unconventional Reservoirs
Proceedings Papers

Predicting Inter-Well Porosity by Comparing the Breakthroughs of Polymeric and Molecular Tracers

Hsieh Chen, Bora Yoon, Gawain Thomas, Martin E Poitzsch
Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214835-MS
https://doi.org/10.2118/214835-MS
Add To Cart
View Paper titled, Predicting Inter-Well Porosity by Comparing the Breakthroughs of Polymeric and Molecular Tracers
Open the PDF for Predicting Inter-Well Porosity by Comparing the Breakthroughs of Polymeric and Molecular Tracers in another window
Add to Citation Manager for Predicting Inter-Well Porosity by Comparing the Breakthroughs of Polymeric and Molecular Tracers
Proceedings Papers

A Novel Hierarchical Global-Local Model Calibration Method for Deep Water Reservoirs Under Depletion and Aquifer Influence

Ao Li, Faruk Omer Alpak, Eduardo Jimenez, Tzu-Hao Yeh, Andrew Ritts, Vivek Jain, Hongquan Chen, Akhil Datta-Gupta
Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214777-MS
https://doi.org/10.2118/214777-MS
Add To Cart
View Paper titled, A Novel Hierarchical Global-Local Model Calibration Method for Deep Water Reservoirs Under Depletion and Aquifer Influence
Open the PDF for A Novel Hierarchical Global-Local Model Calibration Method for Deep Water Reservoirs Under Depletion and Aquifer Influence in another window
Add to Citation Manager for A Novel Hierarchical Global-Local Model Calibration Method for Deep Water Reservoirs Under Depletion and Aquifer Influence
Proceedings Papers

Estimating the Permeability Field Using the Bayesian Inference and Principal Component Analysis

Zhen Zhang, Xupeng He, Yiteng Li, Marwa Alsinan, Hyung Kwak, Hussein Hoteit
Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214922-MS
https://doi.org/10.2118/214922-MS
Add To Cart
View Paper titled, Estimating the Permeability Field Using the Bayesian Inference and Principal Component Analysis
Open the PDF for Estimating the Permeability Field Using the Bayesian Inference and Principal Component Analysis in another window
Add to Citation Manager for Estimating the Permeability Field Using the Bayesian Inference and Principal Component Analysis
Proceedings Papers

History Matching and Forecasting Production Rate and Bottomhole Pressure Data Using an Enhanced Physics-Based Data-Driven Simulator

Ying Li, Faruk Omer Alpak, Vivek Jain, Ranran Lu, Mustafa Onur
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210102-MS
https://doi.org/10.2118/210102-MS
Add To Cart
View Paper titled, History Matching and Forecasting Production Rate and Bottomhole Pressure Data Using an Enhanced Physics-Based Data-Driven Simulator
Open the PDF for History Matching and Forecasting Production Rate and Bottomhole Pressure Data Using an Enhanced Physics-Based Data-Driven Simulator in another window
Add to Citation Manager for History Matching and Forecasting Production Rate and Bottomhole Pressure Data Using an Enhanced Physics-Based Data-Driven Simulator
Proceedings Papers

RTA-Assisted Numerical History-Matching and Co-Optimization of CO2 Storage and HnP Performance for a Near Critical Gas Condensate Shale Well

Hamidreza Hamdi, Christopher R. Clarkson, Amin Ghanizadeh
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210224-MS
https://doi.org/10.2118/210224-MS
Add To Cart
View Paper titled, RTA-Assisted Numerical History-Matching and Co-Optimization of CO2 Storage and HnP Performance for a Near Critical Gas Condensate Shale Well
Open the PDF for RTA-Assisted Numerical History-Matching and Co-Optimization of CO2 Storage and HnP Performance for a Near Critical Gas Condensate Shale Well in another window
Add to Citation Manager for RTA-Assisted Numerical History-Matching and Co-Optimization of CO2 Storage and HnP Performance for a Near Critical Gas Condensate Shale Well
Proceedings Papers

Geological Neural Network Methodology for Automatic History Match; Real Case for Rubiales Field

Ruben Rodriguez-Torrado, Alberto Pumar-Jimenez, Pablo Ruiz-Mataran, Mohammad Sarabian, Julian Togelius, Leonardo Toro Agudelo, Alexander Rueda, Enrique Gallardo, Ana Maria Naranjo, Sandro Arango, Jose Alberto Villasmil
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210133-MS
https://doi.org/10.2118/210133-MS
Add To Cart
View Paper titled, Geological Neural Network Methodology for Automatic History Match; Real Case for Rubiales Field
Open the PDF for Geological Neural Network Methodology for Automatic History Match; Real Case for Rubiales Field in another window
Add to Citation Manager for Geological Neural Network Methodology for Automatic History Match; Real Case for Rubiales Field
Proceedings Papers

Automated Reservoir Model Calibration for Field Development Plan Evaluation Under Subsurface Uncertainty Applied to a Complex Multi-Zones Heavy Oil Field

Luis David Mendoza, Atahualpa Jose Villarroel, Maria Fernanda Hurtado, Facundo Robles, Ralf Schulze-Riegert, Oscar Dario Quintero, Jose Villasmil, Gerson Nava, Sandro Arango, Alexander Rueda, Ana María Naranjo
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210185-MS
https://doi.org/10.2118/210185-MS
Add To Cart
View Paper titled, Automated Reservoir Model Calibration for Field Development Plan Evaluation Under Subsurface Uncertainty Applied to a Complex Multi-Zones Heavy Oil Field
Open the PDF for Automated Reservoir Model Calibration for Field Development Plan Evaluation Under Subsurface Uncertainty Applied to a Complex Multi-Zones Heavy Oil Field in another window
Add to Citation Manager for Automated Reservoir Model Calibration for Field Development Plan Evaluation Under Subsurface Uncertainty Applied to a Complex Multi-Zones Heavy Oil Field
Proceedings Papers

Adapting Petroleum Reservoir Engineering Principles to Carbon Capture & Sequestration (CCS) and Hydrogen Underground Storage (HUS) Projects: Opportunities and Challenges

Srikanta Mishra, Akhil Datta-Gupta
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210372-MS
https://doi.org/10.2118/210372-MS
Add To Cart
View Paper titled, Adapting Petroleum Reservoir Engineering Principles to Carbon Capture & Sequestration (CCS) and Hydrogen Underground Storage (HUS) Projects: Opportunities and Challenges
Open the PDF for Adapting Petroleum Reservoir Engineering Principles to Carbon Capture & Sequestration (CCS) and Hydrogen Underground Storage (HUS) Projects: Opportunities and Challenges in another window
Add to Citation Manager for Adapting Petroleum Reservoir Engineering Principles to Carbon Capture & Sequestration (CCS) and Hydrogen Underground Storage (HUS) Projects: Opportunities and Challenges
Proceedings Papers

An Integrated Ensemble-Based Uncertainty Centric Approach to Address Multi-Disciplinary Reservoir Challenges While Accelerating Subsurface Modeling Process in an Onshore Field, Abu Dhabi, UAE

Salahaldeen Alqallabi, Abdul Saboor Khan, Anish Phade, Mohamed Tarik Gacem, Mustapha Adli, Faisal Al-Jenaibi, Sheharyar Mansur, Lyes Malla, Dario Benedictis
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205854-MS
https://doi.org/10.2118/205854-MS
Add To Cart
View Paper titled, An Integrated Ensemble-Based Uncertainty Centric Approach to Address Multi-Disciplinary Reservoir Challenges While Accelerating Subsurface Modeling Process in an Onshore Field, Abu Dhabi, UAE
Open the PDF for An Integrated Ensemble-Based Uncertainty Centric Approach to Address Multi-Disciplinary Reservoir Challenges While Accelerating Subsurface Modeling Process in an Onshore Field, Abu Dhabi, UAE in another window
Add to Citation Manager for An Integrated Ensemble-Based Uncertainty Centric Approach to Address Multi-Disciplinary Reservoir Challenges While Accelerating Subsurface Modeling Process in an Onshore Field, Abu Dhabi, UAE
Proceedings Papers

Applications of Honey Bee Optimization in Reservoir Engineering Assisted History Matching

Mohamed Shams, Ahmed El-Banbi, M. Helmy Sayyouh
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206149-MS
https://doi.org/10.2118/206149-MS
Add To Cart
View Paper titled, Applications of Honey Bee Optimization in Reservoir Engineering Assisted History Matching
Open the PDF for Applications of Honey Bee Optimization in Reservoir Engineering Assisted History Matching in another window
Add to Citation Manager for Applications of Honey Bee Optimization in Reservoir Engineering Assisted History Matching

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal