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Proceedings Papers
Case Studies: Integrated Production Profiling Analyses from Distributed Temperature and Acoustic Data
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4027567-MS
... geologist hydraulic fracturing reservoir geomechanics completion monitoring systems/intelligent wells magnitude production logging urtec information journal downhole sensor technology conference interpretive software product spe annual technical conference geological subdiscipline zeidouni...
Proceedings Papers
Ascertain the Presence of Open Fractures in Tight Carbonate Reservoirs with Integrated Solution
Available to PurchaseKim Long Nguyen, Mahmoud F. Shehab El Dein, Nami Al-Mutairi, Rasha Al-Morakhi, Mohammed Dasma, Lulwa Al-Mijrin, Meshal Abdul Hameed Al-Wadi, Karim Ousididene, Ahmed Moustafa, Mohab El-Masry, Sachindra Sharma, Nawal Kerrouche, Ramdane Bouchou, Mohamed Said
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4023323-MS
... Imaging (DSWI) & Coriolis micro mud-loss detection data. The first is to map the near borehole environment for fractures as well as their extension far away from the borehole (within ∼150 ft vicinity), while the latter provides information on the presence of open fractures while drilling by detecting...
Proceedings Papers
Understanding the Impacts and Fate of Lost Drilling Fluid by Oil Geochemistry
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4027808-MS
... geochemistry studies provide critical information to better understand the impact and fate of lost oilbased drilling fluid. Potential communication and migration path were proposed based on the results. Better sampling plan after drilling fluid loss event during drilling, fracking and Put on Production (POP...
Proceedings Papers
Applying Numerical RTA to Public Data: Enabling Field-Wide Property Calibration and Improved Public Data EUR Forecasts
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4029160-MS
... minimization function (root mean square) is defined to capture key study objectives across the combined 100 well set. Two significant benefits emerge from this novel approach. First, the relative permeability curves, informed by the entire well population, provide an excellent starting point for detailed...
Proceedings Papers
A Comprehensive Approach to Water Volume Estimation in Unconventional Shale Reservoirs Through Physics-Informed Statistical Modeling
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4026260-MS
... of the factors driving water saturation in unconventional formations. Due to the incorporation of domain knowledge and physical principles, the results proved to be robust and interpretable. The use of statistical methods helps discover underlying patterns in the log data and leverage information from a broader...
Proceedings Papers
Eagle Ford: The Journey from Well Performance to Artificial Lift Optimization
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4029098-MS
... optimization information URTeC: 4029098 Eagle Ford: The Journey from Well Performance to Artificial Lift Optimization Jesus Contreras1, Zach Awny1, 1. ConocoPhillips Copyright 2024, Unconventional Resources Technology Conference (URTeC) DOI 10.15530/urtec-2024-4029098 This paper was prepared...
Proceedings Papers
Multiphysics Characterization of Hydraulic Fracture Height and Parent-Child Well Interference at HFTS-2
Available to PurchaseZhishuai 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
... investigated the multiphysics surveillance data from the Hydraulic Fracturing Test Site 2 (HFTS-2). Comparison between fracture height and geological information reveals that high-stress (calcite-rich) layers act as hinderance or barrier to the growth of hydraulic fractures during stimulation. During...
Proceedings Papers
Physics Informed Deep Learning Models for Improving Shale and Tight Forecast Scalability and Reliability
Available to PurchaseKainan Wang, Lichi Deng, Yuzhe Cai, Guido Di Federico, Keith Ramsaran, Mun Hong Hui, Hussein Alboudwarej, Christian Hager, Yuguang Chen, Xian-Huan Wen
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4042557-MS
... with lots of surveillance data will help provide the understanding of the mechanism of energy production, a consistent and informative forecasting for many wells without high fidelity data can provide a regional view of the asset, and hence is equally paramount. However, scalability remains hindered by data...
Proceedings Papers
Negative Production Factor Recognition and Separation from Other Pore Fluids with Advanced Logging Techniques: A Case Study from Junggar Basin
Available to PurchaseZengbao Zhang, Xianbo Meng, Jianbo Lv, Pengpeng Yang, Liang Cai, Liu Zhong Li, Jin Long Wu, Xianran Zhao
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4030849-MS
.... In the target area, the total organic carbon contributors include carbon from oil and bitumen, while from NMR measurements, bitumen carbon weight is calculated. By density measurement, bitumen density can also be derived. With this given information, the oil volume is calculated. The reservoir producibility...
Proceedings Papers
A New Hybrid Workflow for Cost-Effective and Efficient Field Development Planning and Execution
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043465-MS
... can improve various aspects of asset development. By conducting FBA as an ongoing component of field development and fracture performance monitoring and complimenting their analysis with key off-setting competitor wells, operators are able to accumulate a large amount of information about geomechanics...
Proceedings Papers
Completion Optimization in Vaca Muerta Formation Using DOE, Numerical Simulation, and Statistic Models
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4042562-MS
... ultimate recovery spacing reservoir characterization unconventional resource technology conference eur regression urtec formation completion optimization information URTeC: 4042562 Completion Optimization in Vaca Muerta Formation Using DOE, Numerical Simulation, and Statistic Models Lucas...
Proceedings Papers
Karst Cavern Identification and Deep Imaging in the Delaware Basin Using Magnetotellurics
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043570-MS
... karst cavern identification urtec deep imaging information resistivity variation bone spring fm reservoir characterization interpretation magnetotelluric texas resistivity unconventional resource technology conference inversion URTeC: 4043570 Karst Cavern Identification and Deep Imaging...
Proceedings Papers
A Deep Learning Workflow for Integrated Geological, Petrophysical, and Geomechanical Interpretation
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4040968-MS
.... geology interpretation geologist complex reservoir neural network log analysis geological subdiscipline information availability well logging deep learning rock type machine learning reservoir geomechanics urtec workflow neutron porosity prediction abubakar mb000 subset ub000 tf400...
Proceedings Papers
Geothermal Potential and Risk Assessment of Repurposing Old Wellbores for Geothermal Applications: Case Study of Oklahoma and Texas
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4036660-MS
... assessment cement integrity information united states government repurposing old wellbore URTeC: 4036660 Geothermal Potential and Risk Assessment of Repurposing Old Wellbores for Geothermal Applications: Case Study of Oklahoma and Texas Nabe Konate1, Saeed Salehi2, Mohsen Amini Salehi3, Tony Huynh4, 1...
Proceedings Papers
Predicting Coiled-Tubing Drilling Dynamics Using Transformers
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043196-MS
... prediction drilling operation prediction ctd operation actual backtest depth dependency slb-private severity prediction accuracy accuracy information vibration URTeC: 4043196 Predicting Coiled-Tubing Drilling Dynamics Using Transformers Carlos Urdaneta*1, Cheolkyun Jeong1, Xuqing Wu2, Jiefu...
Proceedings Papers
Optimizing Infill Development in the Delaware Basin Through Integration of Geochemistry, Tracer, Pre-Frac Step down Test, and Pressure Data
Available to PurchaseJana Bachleda, Ruben Cisneros, Dan Carson, Helm Donahue, Michael Manigold, Muqing Jin, Shuangyu Ge, Jiang Wu, Faye Liu
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4042489-MS
... tomaximize oil production while minimizing water and inter-well communication; 2) Time-lapseproduction allocation provides an effective monitoring of reservoir utilization through time, and identifies additional undrained reservoir for optimization opportunities; 3) A regional study informs infill...
Proceedings Papers
A Novel Fusion: Integrating Artificial Neural Networks and Production Fit Models for Swift and Coherent Data-Physics Predictive Modeling of a Mature Oil Field in Texas
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043980-MS
... network machine learning dataset model accuracy coherent data-physics predictive modeling adaptability information artificial neural network integrating artificial neural network texas integration mature oil field urtec production fit model operation novel fusion URTeC: 4043980 A Novel...
Proceedings Papers
A Comparative Analysis of Machine Learning Techniques for Geothermal Wells' Drilling Rate of Penetration (ROP) Prediction
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044244-MS
... prediction robust rop prediction machine learning dataset rop quantile transformation information urtec selection unit vector scaling scaling hyperparameter standard scaling URTeC: 4044244 A Comparative Analysis of Machine Learning Techniques for Geothermal Wells Drilling Rate of Penetration...
Proceedings Papers
Hydraulic Fracture Closure Revealed Under Controlled Laboratory Condition
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044523-MS
... urtec molasse sandstone derivative information journal injection hydraulic fracture propagation fracture propagation detournay figure 2 radial hydraulic fracture URTeC: 4044523 Hydraulic Fracture Closure Revealed Under Controlled Laboratory Condition Mohsen Talebkeikhah*1, Brice Lecampion1...
Proceedings Papers
Machine Learning Prediction and the Impact of CO2 Injection on S-Wave in 20 Years in the Legacy Well Field
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044564-MS
... saturation carbon emission prediction unconventional resource technology conference reservoir geomechanics dataset climate change cella mineral storage injection information URTeC: 4044564 Machine Learning Prediction and the Impact of CO2 Injection on S-wave in 20 Years in the Legacy Well Field...
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