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Keywords: artificial intelligence
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Proceedings Papers
An Automated Physics-Based Workflow for Identification and Classification of Drilling Dysfunctions Drives Drilling Efficiency and Transparency for Completion Design
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200006-MS
... of the qualitative understanding of MSE to a reliable quantification of rock strength through the analysis of magnitudes and trends in drilling parameters and dysfunction indicators. Screening out drilling dysfunctions enables a much better rock strength approximation to aid completion optimization. artificial...
Proceedings Papers
Improved Refracturing Evaluation Workflow: An Integrated Methodology Incorporating Advanced Geomechanical Modeling
Available to PurchaseEnric Ibáñez, Ricardo C. Bezerra de Melo, Yixin Wang, Yan Dong, José Alvarellos, M. R. Lakshmikantha, Christie Webb
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199997-MS
... complex reservoir reservoir surveillance re-fracturing wellbore design reservoir characterization fracturing materials hydraulic fracturing drilling operation reservoir geomechanics artificial intelligence pore pressure geomechanical modeling rotation fracture interaction depletion...
Proceedings Papers
Probabilistic History Matching of Multi-Scale Fractured Reservoirs: Integration of a Novel Localization Scheme Based on Rate Transient Analysis
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199988-MS
... comprehensive and robust approach is presented for integrating specific RTA interpretations and estimations into various steps of the history-matching process. machine learning production monitoring production forecasting optimization problem pressure transient analysis production control artificial...
Proceedings Papers
Hydraulic Fracturing Modeling, Fracture Network, and Microseismic Monitoring
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199976-MS
... dynamics upstream oil & gas horizontal stress fracture network fracture propagation geometry complex reservoir propagation model minimum horizontal stress artificial intelligence re-fracturing evie formation operation perforation influence coefficient hydraulic fracture otter park...
Proceedings Papers
Learning from Behavioral Frac Maps: A Montney Case Study in Integration of Modern Microseismic and Production Data Analyses
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200021-MS
.... production control log analysis fluid modeling production logging hydraulic fracturing reservoir geomechanics proppant well logging flow in porous media tight gas complex reservoir reservoir characterization fracturing materials artificial intelligence shale gas drillstem testing machine...
Proceedings Papers
Machine Learning Interpretability Application to Optimize Well Completion in Montney
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200019-MS
... characterization artificial intelligence multistage fracturing montney formation completion installation and operations application accuracy well performance proppant injection upstream oil & gas contribution random forest model machine learning hydraulic fracturing well completion prediction...
Proceedings Papers
Artificial Intelligence for Real-Time Monitoring of Fracture Driven Interactions and Simultaneous Completion Optimization
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-199967-MS
..., the methodology lends a fundamental analytics framework for visualization, continuous learning to create and optimize other real-time completion and stimulation operations at the asset level. real time system upstream oil & gas completion artificial intelligence infill well hydraulic fracturing...
Proceedings Papers
Unlocking Completion Design Optimization Using an Augmented AI Approach
Available to PurchaseZheren Ma, Ehsan Davani, Xiaodan Ma, Hanna Lee, Izzet Arslan, Xiang Zhai, Hamed Darabi, David Castineira
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200000-MS
... learning data mining shale gas directional drilling artificial lift system production monitoring shale oil reservoir simulation energy economics production control artificial intelligence complex reservoir reservoir characterization reservoir surveillance hydraulic fracturing oil shale...
Proceedings Papers
Coupling Microseismic and Production Data Analysis to Optimize Well Spacing in Unconventional Reservoirs
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200009-MS
... gives fair estimates of fracture spatial evolutions. intervención de pozos petroleros artificial intelligence machine learning production monitoring modeling & simulation hydraulic fracturing reservoir simulation upstream oil & gas production forecasting complex reservoir...
Proceedings Papers
Understanding the Mechanisms of Huff-n-Puff, CO2-EOR in Liquid-Rich Shale Plays: Bakken Case Study
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200001-MS
... drilling. thermal method enhanced recovery shale oil steam-assisted gravity drainage energy economics sagd oil shale us government upstream oil & gas artificial intelligence complex reservoir unconventional resource economics mechanism recovery incremental oil recovery injection...
Proceedings Papers
Development of a Ball Seat Event Recognition Algorithm with Convolutional Neural Network for the Real-Time Hydraulic Fracturing Analytics System
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, September 28–October 2, 2020
Paper Number: SPE-200003-MS
... the Convolutional Neural Network (CNN) to solve the same problem. Comparing with U-Net approach, the CNN model requires less computation resource during training phase while it has slight better performance. hydraulic fracturing u-net architecture neural network ball pumpdown seat operation artificial...
Proceedings Papers
Wettability and Capillary Imbibition in Shales; Analytical and Data-Driven Analysis
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189806-MS
... the most influential factors influencing the water uptake during shut-in periods after hydraulic fracturing operations. Artificial Intelligence flow in porous media neural network Upstream Oil & Gas shale gas Fluid Dynamics residual saturation relative permeability water saturation...
Proceedings Papers
Viability of EOR Processes in the Bakken Under Geological and Economic Uncertainty
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189779-MS
... 2 NPV Upstream Oil & Gas optimization configuration Artificial Intelligence flooding process EOR process Bakken formation reservoir Uncertainty Assessment injection natural depletion Elm Coulee field flooding flood simulation model fracture operation Introduction...
Proceedings Papers
Estimation of Petrophysical Properties of Tight Rocks from Drill Cuttings Using Image Analysis: An Integrated Laboratory-Based Approach
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189825-MS
... transport drilling fluids and materials cementation helium pycnometry estimation BSE image Reservoir Characterization shale gas detrital grain elemental map software quartz grain reservoir geomechanics complex reservoir porosity value Artificial Intelligence image analysis software Upstream...
Proceedings Papers
Need for Speed: Data Analytics Coupled to Reservoir Characterization Fast Tracks Well Completion Optimization
Available to PurchasePiyush Pankaj, Steve Geetan, Richard MacDonald, Priyavrat Shukla, Abhishek Sharma, Samir Menasria, Tobias Judd
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189790-MS
... and combining such simulation with data analytics and artificial intelligence algorithms helped in the development of a powerful solution that creates models for fast, yet effective, completion design. As a case study, the approach was executed on Eagle Ford wells. Over 2000 data points were collected...
Proceedings Papers
Evaluating Human-Machine Interaction for Automated Drilling Systems
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189811-MS
... drilling process internal blowout preventer drilling system Upstream Oil & Gas pac system rig human operator utilization society of petroleum engineers connection time machine learning Drilling automation system artificial intelligence interaction sequence Introduction Oil...
Proceedings Papers
Determination of Thermal Maturity and Maturation Trajectories in Shale Petroleum Reservoirs with the Use of Modified Pickett Plots
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189791-MS
... of sweet spots. Although the methodology is explained with data of the Niobrara shales, it should have application in other shale petroleum reservoirs of the world. Artificial Intelligence log analysis Upstream Oil & Gas Niobrara shale water saturation porosity maturity evaluation pore...
Proceedings Papers
Predicting Economic Value in Unexplored Regions of an Unconventional Liquids Rich Play
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189815-MS
... correlation Reservoir Characterization regression model well performance Artificial Intelligence cgr 30 subsurface input input variable evaluator workflow probability distribution subset economic metric data relationship variable value breakeven oil price type well procedure PhiH...
Proceedings Papers
Data-Based Smart Model for Real Time Liquid Loading Diagnostics in Marcellus Shale via Machine Learning
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189808-MS
... for Marcellus Shale shows great promise that this approach can be applied in other areas where limited history of production and liquid loading exists. production monitoring machine learning shale gas Artificial Intelligence Turner gas reservoir neural network criteria production control gas Well...
Proceedings Papers
Machine Learning Applied to Optimize Duvernay Well Performance
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189823-MS
... improvement for all operators. machine learning well performance Upstream Oil & Gas inflow performance variance training data coefficient workflow Artificial Intelligence regression typecurve final test data neural network node operator Tonnage multiple linear regression predictor...
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