1-20 of 123
Production forecasting
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

Use of the RTAPK Core Analysis Method to Evaluate the Impact of Matrix Heterogeneity on Flow-Regime Signatures and Permeability Estimation

Available to Purchase

Niloufar Rahimof, Mohammadebrahim Shabani, Amin Ghanizadeh, Chengyao Song, Christopher R. Clarkson
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4024058-MS
https://doi.org/10.15530/urtec-2024-4024058
Add To Cart
View Paper titled, Use of the RTAPK Core Analysis Method to Evaluate the Impact of Matrix Heterogeneity on Flow-Regime Signatures and Permeability Estimation
Open the PDF for Use of the RTAPK Core Analysis Method to Evaluate the Impact of Matrix Heterogeneity on Flow-Regime Signatures and Permeability Estimation in another window
Add to Citation Manager for Use of the RTAPK Core Analysis Method to Evaluate the Impact of Matrix Heterogeneity on Flow-Regime Signatures and Permeability Estimation
Proceedings Papers

Towards Universal Production Forecasting via Adversarial Transfer Learning and Transformer with Application in the Shengli Oilfield, China

Available to Purchase

Ji Chang, Jin Meng, Dongwei Zhang, Tianrui Ye, Han Wang, Yitian Xiao
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4032318-MS
https://doi.org/10.15530/urtec-2024-4032318
Add To Cart
View Paper titled, Towards Universal Production Forecasting via Adversarial Transfer Learning and Transformer with Application in the Shengli Oilfield, China
Open the PDF for Towards Universal Production Forecasting via Adversarial Transfer Learning and Transformer with Application in the Shengli Oilfield, China in another window
Add to Citation Manager for Towards Universal Production Forecasting via Adversarial Transfer Learning and Transformer with Application in the Shengli Oilfield, China
Proceedings Papers

Application of a Sparse Hybrid Data-Driven and Physics Model in Unconventional Reservoirs for Production Forecasting

Available to Purchase

Hardikkumar Zalavadia, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4033921-MS
https://doi.org/10.15530/urtec-2024-4033921
Add To Cart
View Paper titled, Application of a Sparse Hybrid Data-Driven and Physics Model in Unconventional Reservoirs for Production Forecasting
Open the PDF for Application of a Sparse Hybrid Data-Driven and Physics Model in Unconventional Reservoirs for Production Forecasting in another window
Add to Citation Manager for Application of a Sparse Hybrid Data-Driven and Physics Model in Unconventional Reservoirs for Production Forecasting
Proceedings Papers

Assessing B-Factor Through Production Analysis and Simulation Modeling in Permian Unconventional Wells

Available to Purchase

Mei Han, Paul Nguyen, Markus Emsermann, Cyd Ruidiaz-Santiago, Xueying Xie, Soodabeh Esmaili, Osama Raba
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4029346-MS
https://doi.org/10.15530/urtec-2024-4029346
Add To Cart
View Paper titled, Assessing B-Factor Through Production Analysis and Simulation Modeling in Permian Unconventional Wells
Open the PDF for Assessing B-Factor Through Production Analysis and Simulation Modeling in Permian Unconventional Wells in another window
Add to Citation Manager for Assessing B-Factor Through Production Analysis and Simulation Modeling in Permian Unconventional Wells
Proceedings Papers

Forecasting Production Loss for Delayed Secondary Bench Development in the Midland Basin

Available to Purchase

A. Cui, D. Niederhut, B. Davis
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4037004-MS
https://doi.org/10.15530/urtec-2024-4037004
Add To Cart
View Paper titled, Forecasting Production Loss for Delayed Secondary Bench Development in the Midland Basin
Open the PDF for Forecasting Production Loss for Delayed Secondary Bench Development in the Midland Basin in another window
Add to Citation Manager for Forecasting Production Loss for Delayed Secondary Bench Development in the Midland Basin
Proceedings Papers

A Comparative Study for Probabilistic EUR Forecasting in Shale Gas Reservoir Using Early-Time Production Data

Available to Purchase

Xiaowen Duan, Xiaolin Xu, Yuewei Pan, Junlei Wang, Ling Fu
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043379-MS
https://doi.org/10.15530/urtec-2024-4043379
Add To Cart
View Paper titled, A Comparative Study for Probabilistic EUR Forecasting in Shale Gas Reservoir Using Early-Time Production Data
Open the PDF for A Comparative Study for Probabilistic EUR Forecasting in Shale Gas Reservoir Using Early-Time Production Data in another window
Add to Citation Manager for A Comparative Study for Probabilistic EUR Forecasting in Shale Gas Reservoir Using Early-Time Production Data
Proceedings Papers

Transforming Early-Stage Oil and Gas Production Forecasting with Generative AI

Available to Purchase

Akash Sharma, Scott Pellegrino, Sai Sidharth Manikandan
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043583-MS
https://doi.org/10.15530/urtec-2024-4043583
Add To Cart
View Paper titled, Transforming Early-Stage Oil and Gas Production Forecasting with Generative AI
Open the PDF for Transforming Early-Stage Oil and Gas Production Forecasting with Generative AI in another window
Add to Citation Manager for Transforming Early-Stage Oil and Gas Production Forecasting with Generative AI
Proceedings Papers

Machine Learning vs. Type Curves in the Appalachian Basin: A Comparative Study

Available to Purchase

A. Cui, A. Yanke, T. Dao, P. Ye, T. Cross, B. Davis
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4036239-MS
https://doi.org/10.15530/urtec-2024-4036239
Add To Cart
View Paper titled, Machine Learning vs. Type Curves in the Appalachian Basin: A Comparative Study
Open the PDF for Machine Learning vs. Type Curves in the Appalachian Basin: A Comparative Study in another window
Add to Citation Manager for Machine Learning vs. Type Curves in the Appalachian Basin: A Comparative Study
Proceedings Papers

Fast Optimization of the Net Present Value of Unconventional Wells Using Rapid RTA

Available to Purchase

Leopoldo Matias Ruiz Maraggi, Mark P. Walsh, Larry W. Lake, Frank R. Male
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043501-MS
https://doi.org/10.15530/urtec-2024-4043501
Add To Cart
View Paper titled, Fast Optimization of the Net Present Value of Unconventional Wells Using Rapid RTA
Open the PDF for Fast Optimization of the Net Present Value of Unconventional Wells Using Rapid RTA in another window
Add to Citation Manager for Fast Optimization of the Net Present Value of Unconventional Wells Using Rapid RTA
Proceedings Papers

Enhanced Decision Making and Asset Optimization for Unconventional Resources with Type Wells (DCA), RTA-Based Numerical Modeling and Machine Learning

Available to Purchase

Alireza Haghighat, Toby Burrough
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044552-MS
https://doi.org/10.15530/urtec-2024-4044552
Add To Cart
View Paper titled, Enhanced Decision Making and Asset Optimization for Unconventional Resources with Type Wells (DCA), RTA-Based Numerical Modeling and Machine Learning
Open the PDF for Enhanced Decision Making and Asset Optimization for Unconventional Resources with Type Wells (DCA), RTA-Based Numerical Modeling and Machine Learning in another window
Add to Citation Manager for Enhanced Decision Making and Asset Optimization for Unconventional Resources with Type Wells (DCA), RTA-Based Numerical Modeling and Machine Learning
Proceedings Papers

Efficient Field Development Decisions Driven by Artificial Intelligence: A Permian Basin Example

Available to Purchase

Hui Zhou, Johan A. Daal, Tom Williford, Qin Lu, Michael Burkard, Lee McAuliffe, M. D. Rincones, Rafael Paz Lopez
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044067-MS
https://doi.org/10.15530/urtec-2024-4044067
Add To Cart
View Paper titled, Efficient Field Development Decisions Driven by Artificial Intelligence: A Permian Basin Example
Open the PDF for Efficient Field Development Decisions Driven by Artificial Intelligence: A Permian Basin Example in another window
Add to Citation Manager for Efficient Field Development Decisions Driven by Artificial Intelligence: A Permian Basin Example
Proceedings Papers

Improving Accuracy of an Auto-Forecasting Engine Using a Bayesian Maximum Likelihood Framework for Empirical Decline Curves

Available to Purchase

Doug McMaster, David S. Fulford, Stephen Krughoff, Zidong Liu, Brennan Medina
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044312-MS
https://doi.org/10.15530/urtec-2024-4044312
Add To Cart
View Paper titled, Improving Accuracy of an Auto-Forecasting Engine Using a Bayesian Maximum Likelihood Framework for Empirical Decline Curves
Open the PDF for Improving Accuracy of an Auto-Forecasting Engine Using a Bayesian Maximum Likelihood Framework for Empirical Decline Curves in another window
Add to Citation Manager for Improving Accuracy of an Auto-Forecasting Engine Using a Bayesian Maximum Likelihood Framework for Empirical Decline Curves
Proceedings Papers

Evaluation of Empirical Correlations and Time Series Models for the Prediction and Forecast of Unconventional Wells Production in Wolfcamp A Formation

Available to Purchase

Aimen Laalam, Houdaifa Khalifa, Habib Ouadi, Mouna Keltoum Benabid, Olusegun Stanley Tomomewo, Mouad Al Krmagi
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043738-MS
https://doi.org/10.15530/urtec-2024-4043738
Add To Cart
View Paper titled, Evaluation of Empirical Correlations and Time Series Models for the Prediction and Forecast of Unconventional Wells Production in Wolfcamp A Formation
Open the PDF for Evaluation of Empirical Correlations and Time Series Models for the Prediction and Forecast of Unconventional Wells Production in Wolfcamp A Formation in another window
Add to Citation Manager for Evaluation of Empirical Correlations and Time Series Models for the Prediction and Forecast of Unconventional Wells Production in Wolfcamp A Formation
Proceedings Papers

Enhancing Production Forecasting Accuracy: A Machine Learning Approach in the Permian Basin

Available to Purchase

Kiran Sathaye, Scott Iceton, Ted Cross
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044746-MS
https://doi.org/10.15530/urtec-2024-4044746
Add To Cart
View Paper titled, Enhancing Production Forecasting Accuracy: A Machine Learning Approach in the Permian Basin
Open the PDF for Enhancing Production Forecasting Accuracy: A Machine Learning Approach in the Permian Basin in another window
Add to Citation Manager for Enhancing Production Forecasting Accuracy: A Machine Learning Approach in the Permian Basin
Proceedings Papers

A Novel Fracture Conductivity Calculation Methodology for Integrating Fracture Simulation and Rate Transient Analysis (RTA) for Unconventional Development

Available to Purchase

Han (Jake) Li, Paul Nguyen, Sherif M. Kholy, Soodabeh Esmaili, Shunhua Liu
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044817-MS
https://doi.org/10.15530/urtec-2024-4044817
Add To Cart
View Paper titled, A Novel Fracture Conductivity Calculation Methodology for Integrating Fracture Simulation and Rate Transient Analysis (RTA) for Unconventional Development
Open the PDF for A Novel Fracture Conductivity Calculation Methodology for Integrating Fracture Simulation and Rate Transient Analysis (RTA) for Unconventional Development in another window
Add to Citation Manager for A Novel Fracture Conductivity Calculation Methodology for Integrating Fracture Simulation and Rate Transient Analysis (RTA) for Unconventional Development
Proceedings Papers

Statistical Analysis of Estimated Ultimate Recovery: Comparing Machine Learning and Traditional DCA Methods in Eagle Ford and Bakken

Available to Purchase

Palash Panja, Carlos Vega-Ortiz, Milind Deo, Brian McPherson, Rasoul Sorkhabi
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4049496-MS
https://doi.org/10.15530/urtec-2024-4049496
Add To Cart
View Paper titled, Statistical Analysis of Estimated Ultimate Recovery: Comparing Machine Learning and Traditional DCA Methods in Eagle Ford and Bakken
Open the PDF for Statistical Analysis of Estimated Ultimate Recovery: Comparing Machine Learning and Traditional DCA Methods in Eagle Ford and Bakken in another window
Add to Citation Manager for Statistical Analysis of Estimated Ultimate Recovery: Comparing Machine Learning and Traditional DCA Methods in Eagle Ford and Bakken
Proceedings Papers

Optimizing Unconventional Well Performance: Streamlining Type Curve Benchmark Analysis for Enhanced Production Insights

Available to Purchase

Graham Kirk
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044736-MS
https://doi.org/10.15530/urtec-2024-4044736
Add To Cart
View Paper titled, Optimizing Unconventional Well Performance: Streamlining Type Curve Benchmark Analysis for Enhanced Production Insights
Open the PDF for Optimizing Unconventional Well Performance: Streamlining Type Curve Benchmark Analysis for Enhanced Production Insights in another window
Add to Citation Manager for Optimizing Unconventional Well Performance: Streamlining Type Curve Benchmark Analysis for Enhanced Production Insights
Proceedings Papers

Estimated Ultimate Recovery in Horizontal Wells: A Data-Driven Approach

Available to Purchase

Ahmed Alzahabi, Ahmed Kamel, Alex Trindade
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4048995-MS
https://doi.org/10.15530/urtec-2024-4048995
Add To Cart
View Paper titled, Estimated Ultimate Recovery in Horizontal Wells: A Data-Driven Approach
Open the PDF for Estimated Ultimate Recovery in Horizontal Wells: A Data-Driven Approach in another window
Add to Citation Manager for Estimated Ultimate Recovery in Horizontal Wells: A Data-Driven Approach
Proceedings Papers

Construction of Parametric Type Well Profiles Using Linear Models

Available to Purchase

David S. Fulford
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044927-MS
https://doi.org/10.15530/urtec-2024-4044927
Add To Cart
View Paper titled, Construction of Parametric Type Well Profiles Using Linear Models
Open the PDF for Construction of Parametric Type Well Profiles Using Linear Models in another window
Add to Citation Manager for Construction of Parametric Type Well Profiles Using Linear Models
Proceedings Papers

Effects of Early-Time Production Data on Machine-Learning-Assisted Long-Term Production Forecasting

Available to Purchase

Mohammad H. Elkady, Siddharth Misra, Veena T. Kumar, Uchenna Odi, Andrew Silver
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4055265-MS
https://doi.org/10.15530/urtec-2024-4055265
Add To Cart
View Paper titled, Effects of Early-Time Production Data on Machine-Learning-Assisted Long-Term Production Forecasting
Open the PDF for Effects of Early-Time Production Data on Machine-Learning-Assisted Long-Term Production Forecasting in another window
Add to Citation Manager for Effects of Early-Time Production Data on Machine-Learning-Assisted Long-Term Production Forecasting

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal