... 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...

... 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...

... 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...

... 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...

... 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...

... 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...

... 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...

... 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...

.... 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...

... 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...

... 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...

... 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...

.... 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...

... 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...

... 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...

... 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...

... 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...

... 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...

... 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...

... 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...