1-20 of 436
Seismic processing and interpretation
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

Resolving Multiphase Fractions in Horizontal Wells Using Speed of Sound Measured with Distributed Acoustic Sensors and a PVT Database

Peyman Moradi, Brian Seabrook, Neal Adair, Ricardo Garza
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4017241-MS
https://doi.org/10.15530/urtec-2024-4017241
Add To Cart
View Paper titled, Resolving Multiphase Fractions in Horizontal Wells Using Speed of Sound Measured with Distributed Acoustic Sensors and a PVT Database
Open the PDF for Resolving Multiphase Fractions in Horizontal Wells Using Speed of Sound Measured with Distributed Acoustic Sensors and a PVT Database in another window
Add to Citation Manager
Proceedings Papers

Analysis of Zonal Interference Through Integrated Stimulation and Drainage Diagnostic Measurements in the Uinta Basin, Utah, USA: Microseismic, Crosswell Strain, Offset Pressure Fracture Measurement and Geochemical Fingerprinting of Produced Hydrocarbons

Shawn Maxwell, Geoffrey Ritter, Trevor Tuttle, Kyle Wilson, Mohammad Tabatabaei, John Sinclair, Aaron Leavitt, Yuchen Liu, Jana Bachleda, Jiang Wu, Faye Liu
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043150-MS
https://doi.org/10.15530/urtec-2024-4043150
Add To Cart
View Paper titled, Analysis of Zonal Interference Through Integrated Stimulation and Drainage Diagnostic Measurements in the Uinta Basin, Utah, USA: Microseismic, Crosswell Strain, Offset Pressure Fracture Measurement and Geochemical Fingerprinting of Produced Hydrocarbons
Open the PDF for Analysis of Zonal Interference Through Integrated Stimulation and Drainage Diagnostic Measurements in the Uinta Basin, Utah, USA: Microseismic, Crosswell Strain, Offset Pressure Fracture Measurement and Geochemical Fingerprinting of Produced Hydrocarbons in another window
Add to Citation Manager
Proceedings Papers

Completion Optimization in Vaca Muerta Formation Using DOE, Numerical Simulation, and Statistic Models

Lucas Calello, Marcelo Pellicer, Pablo Crespo, Adrian Rasgido
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4042562-MS
https://doi.org/10.15530/urtec-2024-4042562
Add To Cart
View Paper titled, Completion Optimization in Vaca Muerta Formation Using DOE, Numerical Simulation, and Statistic Models
Open the PDF for Completion Optimization in Vaca Muerta Formation Using DOE, Numerical Simulation, and Statistic Models in another window
Add to Citation Manager
Proceedings Papers

A Study of the Geomechanic and Microseismic Responses of Different Rocks to the Injection of CO 2 : Implication for Carbon Sequestration

Blessed C. A. Amoah, Son T. Dang, Mark E. Curtis, Chandra S. Rai
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4037963-MS
https://doi.org/10.15530/urtec-2024-4037963
Add To Cart
View Paper titled, A Study of the Geomechanic and Microseismic Responses of Different Rocks to the Injection of CO 2 : Implication for Carbon Sequestration
Open the PDF for A Study of the Geomechanic and Microseismic Responses of Different Rocks to the Injection of CO 2 : Implication for Carbon Sequestration in another window
Add to Citation Manager
Proceedings Papers

Integrating Experiments and Well Logs to Predict Caney Shale Static Mechanical Properties During Production with Supervised Machine Learning

Sherif M. Kholy, Hunjoo P. Lee, Mileva Radonjic
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4038060-MS
https://doi.org/10.15530/urtec-2024-4038060
Add To Cart
View Paper titled, Integrating Experiments and Well Logs to Predict Caney Shale Static Mechanical Properties During Production with Supervised Machine Learning
Open the PDF for Integrating Experiments and Well Logs to Predict Caney Shale Static Mechanical Properties During Production with Supervised Machine Learning in another window
Add to Citation Manager
Proceedings Papers

An Experimental Study of the Effect of Capillary Condensation on the Geomechanical Properties of Tight Rocks

Aamer Albannay, Amena Alharthi, Abdulla Al Hashmi, Sherif Elazab, Abdulla Al Blooshi, Hassan Al Marzooqi, Muhammad Baig, Binh Bui
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4028637-MS
https://doi.org/10.15530/urtec-2024-4028637
Add To Cart
View Paper titled, An Experimental Study of the Effect of Capillary Condensation on the Geomechanical Properties of Tight Rocks
Open the PDF for An Experimental Study of the Effect of Capillary Condensation on the Geomechanical Properties of Tight Rocks in another window
Add to Citation Manager
Proceedings Papers

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
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4034008-MS
https://doi.org/10.15530/urtec-2024-4034008
Add To Cart
View Paper titled, A Machine-Learning-Based Workflow for Drilling Risk Prediction of Wellbore Instability and Trajectory Optimization in Ultra-Deep Formation
Open the PDF for A Machine-Learning-Based Workflow for Drilling Risk Prediction of Wellbore Instability and Trajectory Optimization in Ultra-Deep Formation in another window
Add to Citation Manager
Proceedings Papers

Rock Physics Modeling in Unconventionals: A Midland Basin Case Study

Paritosh Bhatnagar, Venkatesh Anantharamu, Ron Bianco
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4038101-MS
https://doi.org/10.15530/urtec-2024-4038101
Add To Cart
View Paper titled, Rock Physics Modeling in Unconventionals: A Midland Basin Case Study
Open the PDF for Rock Physics Modeling in Unconventionals: A Midland Basin Case Study in another window
Add to Citation Manager
Proceedings Papers

Data-Driven Analyses of Well Orientation on Productivity in Eight US Unconventional Plays

Mohamed Adel Gabry, Gang Han, Francis Elisabeth
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4027576-MS
https://doi.org/10.15530/urtec-2024-4027576
Add To Cart
View Paper titled, Data-Driven Analyses of Well Orientation on Productivity in Eight US Unconventional Plays
Open the PDF for Data-Driven Analyses of Well Orientation on Productivity in Eight US Unconventional Plays in another window
Add to Citation Manager
Proceedings Papers

Casing Deformation Risk Prediction with Numerical Simulation During Hydraulic Fracturing in Deep Shale Gas Reservoirs

Jianfa Wu, Xuewen Shi, Qiyong Gou, Ersi Xu, Dongjun Zhang, Xiaoxu Ren, Ting Yu, Kehan Wu, Yanming Tong, Lipeng Wang, Adrian Rodriguez-Herrera
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043054-MS
https://doi.org/10.15530/urtec-2024-4043054
Add To Cart
View Paper titled, Casing Deformation Risk Prediction with Numerical Simulation During Hydraulic Fracturing in Deep Shale Gas Reservoirs
Open the PDF for Casing Deformation Risk Prediction with Numerical Simulation During Hydraulic Fracturing in Deep Shale Gas Reservoirs in another window
Add to Citation Manager
Proceedings Papers

Multiphysics Characterization of Hydraulic Fracture Height and Parent-Child Well Interference at HFTS-2

Zhishuai Zhang, Kurt Nihei, Jiehao Wang, Zijun Fang, Yunhui Tan, Daniel Emery, Amit Singh, Yuguang Chen, Chang Li, Dimitri Bevc
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4019465-MS
https://doi.org/10.15530/urtec-2024-4019465
Add To Cart
View Paper titled, Multiphysics Characterization of Hydraulic Fracture Height and Parent-Child Well Interference at HFTS-2
Open the PDF for Multiphysics Characterization of Hydraulic Fracture Height and Parent-Child Well Interference at HFTS-2 in another window
Add to Citation Manager
Proceedings Papers

Unlocking Shale Potential by Including Seismic Data into Drilling and Production Decisions

Marianne Rauch, David Langton, Josh Bedell, Matt Mayer
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044509-MS
https://doi.org/10.15530/urtec-2024-4044509
Add To Cart
View Paper titled, Unlocking Shale Potential by Including Seismic Data into Drilling and Production Decisions
Open the PDF for Unlocking Shale Potential by Including Seismic Data into Drilling and Production Decisions in another window
Add to Citation Manager
Proceedings Papers

Novel Well Design for Unconventionals: Augmented Drainage Development (ADD)

Craig Cipolla, Aicha Kechemir, Michael McKimmy, Khalid Shaarawi, Robert Fast
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044110-MS
https://doi.org/10.15530/urtec-2024-4044110
Add To Cart
View Paper titled, Novel Well Design for Unconventionals: Augmented Drainage Development (ADD)
Open the PDF for Novel Well Design for Unconventionals: Augmented Drainage Development (ADD) in another window
Add to Citation Manager
Proceedings Papers

Machine Learning Prediction and the Impact of CO2 Injection on S-Wave in 20 Years in the Legacy Well Field

Sharif Morshed, Shafiqul Alam Khan, Wu Hao
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044564-MS
https://doi.org/10.15530/urtec-2024-4044564
Add To Cart
View Paper titled, Machine Learning Prediction and the Impact of CO2 Injection on S-Wave in 20 Years in the Legacy Well Field
Open the PDF for Machine Learning Prediction and the Impact of CO2 Injection on S-Wave in 20 Years in the Legacy Well Field in another window
Add to Citation Manager
Proceedings Papers

Navigating Challenges in Vaca Muerta: Interdisciplinary Insights and Strategies for Efficient Development of an Unconventional Oil Field in the Neuquén Basin, Argentina

Juan Filipich, Adrian Oscar Rasgido, Lucia Lamberghini, Victor Hugo Ñañez, Maximiliano García Torrejón
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4052155-MS
https://doi.org/10.15530/urtec-2024-4052155
Add To Cart
View Paper titled, Navigating Challenges in Vaca Muerta: Interdisciplinary Insights and Strategies for Efficient Development of an Unconventional Oil Field in the Neuquén Basin, Argentina
Open the PDF for Navigating Challenges in Vaca Muerta: Interdisciplinary Insights and Strategies for Efficient Development of an Unconventional Oil Field in the Neuquén Basin, Argentina in another window
Add to Citation Manager
Proceedings Papers

Challenging Paradigms in an Unconventional Development Block. Case Study: Enhancing Development Areas Within the Vaca Muerta Formation in the Oil Window

Karina Anis, Ana Marlats, Sergio Cuervo, Sahil Malhotra, María Fernanda Alvarez Castillo, Daniel Sotelo, Hernan Reijenstein, Amalia Rosemblat, Rodrigo Escobar
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4054703-MS
https://doi.org/10.15530/urtec-2024-4054703
Add To Cart
View Paper titled, Challenging Paradigms in an Unconventional Development Block. Case Study: Enhancing Development Areas Within the Vaca Muerta Formation in the Oil Window
Open the PDF for Challenging Paradigms in an Unconventional Development Block. Case Study: Enhancing Development Areas Within the Vaca Muerta Formation in the Oil Window in another window
Add to Citation Manager
Proceedings Papers

Artificial Intelligence Integration for Optimal Reservoir Data Analysis and Pattern Recognition

Leon Hamilton, Marianne Rauch
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4054687-MS
https://doi.org/10.15530/urtec-2024-4054687
Add To Cart
View Paper titled, Artificial Intelligence Integration for Optimal Reservoir Data Analysis and Pattern Recognition
Open the PDF for Artificial Intelligence Integration for Optimal Reservoir Data Analysis and Pattern Recognition in another window
Add to Citation Manager
Proceedings Papers

Hydraulic Stimulation in a Tight Gas Reservoir: Insights from Microseismic and Geomechanical Modeling and Interpretation

Claudio Rabe, Pierre-Francois Roux, Luisely Linares, Maximiliano Garcia Torrejon, Luis Alberto Vernengo, Diego R. Lachter
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4054307-MS
https://doi.org/10.15530/urtec-2024-4054307
Add To Cart
View Paper titled, Hydraulic Stimulation in a Tight Gas Reservoir: Insights from Microseismic and Geomechanical Modeling and Interpretation
Open the PDF for Hydraulic Stimulation in a Tight Gas Reservoir: Insights from Microseismic and Geomechanical Modeling and Interpretation in another window
Add to Citation Manager
Proceedings Papers

Geomechanical Modeling of Stimulation Induced Stress Change for Casing Deformation Analysis

Roberto Wagner Alvarado, Scott Wilkins, Stephanie Cook, Robert Holman, Robin Pearson, Abbey Hale, Grant Loxton, Jonathan Woolley, Jennifer Roberts, Wei Zheng, Vincenzo De Gennaro, Doug Jordan
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4045037-MS
https://doi.org/10.15530/urtec-2024-4045037
Add To Cart
View Paper titled, Geomechanical Modeling of Stimulation Induced Stress Change for Casing Deformation Analysis
Open the PDF for Geomechanical Modeling of Stimulation Induced Stress Change for Casing Deformation Analysis in another window
Add to Citation Manager
Proceedings Papers

Maximizing Stimulation Volume in the Permian Using High Resolution Microseismic Analysis

Eddie Barrow, Coley Jameson, Elisabeth Marlow, Holt Stephens
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044839-MS
https://doi.org/10.15530/urtec-2024-4044839
Add To Cart
View Paper titled, Maximizing Stimulation Volume in the Permian Using High Resolution Microseismic Analysis
Open the PDF for Maximizing Stimulation Volume in the Permian Using High Resolution Microseismic Analysis in another window
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal