... this presentation on the basis of information contained in an abstract submitted by the author(s). The contents of this paper have not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject...

...). The contents of this paper have not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject to corrections by the author(s). Any person or entity that relies on any information obtained from...

... by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject to corrections by the author(s). Any person or entity that relies on any information obtained from this paper does so at their own risk...

... not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject to corrections by the author(s). Any person or entity that relies on any information obtained from this paper does so...

... this presentation on the basis of information contained in an abstract submitted by the author(s). The contents of this paper have not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject...

... submitted by the author(s). The contents of this paper have not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject to corrections by the author(s). Any person or entity that relies...

... by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject to corrections by the author(s). Any person or entity that relies on any information obtained from this paper does so at their own risk...

... not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject to corrections by the author(s). Any person or entity that relies on any information obtained from this paper does so...

...). The contents of this paper have not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject to corrections by the author(s). Any person or entity that relies on any information obtained from...

... submitted by the author(s). The contents of this paper have not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject to corrections by the author(s). Any person or entity that relies...

... reservoir geomechanics eur bayesian optimization algorithm method accuracy unconventional resource technology conference generator generative adversarial network learning-based sweet spot prediction method 1 URTeC: 4025206 Machine Learning-based Sweet Spot Prediction Method for Canada Tight...

... prediction accuracy, while resistivity logs from induction and laterolog tools require separate treatment. Factors like well locations, mud types, and logging service providers show no significant impact. Overall, water-filled porosity based on statistical modeling achieves better consistency than...

... submitted by the author(s). The contents of this paper have not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject to corrections by the author(s). Any person or entity that relies...

... a new input for an automatic regression engine—the prior distribution for the b -parameter—that enables a workflow to improve forecast accuracy for tens of thousands of wells in only minutes of compute time. unconventional play unconventional resource economics geology geologist production...

... for precise EUR prediction. The results demonstrate that the inclusion of this crucial factor significantly enhances the accuracy of predictions across all shale plays. This study pioneers a systematic approach to predicting gas EUR in diverse shale plays using advanced ML techniques. The incorporation...

... deep learning geologist complex reservoir reservoir surveillance neural network production monitoring machine learning production control dataset depletion function prediction forecast workflow geology artificial intelligence depletion urtec sensitivity accuracy validation...

... induced seismicity risk to that SWD wells pose prior to permitting and drilling them. produced water discharge structural geology machine learning seismicity plate tectonics threshold reservoir characterization accuracy injection prediction company texas exxonmobil technology...

... aggregate relative errors for 1-, 2-, and 3-year backtesting timeframes were −0.03% 3.05%, and 5.94% respectively. For these wells of interest an attempt to improve aggregate relative error forecasting accuracy was attempted with a machine learning (ML) classification algorithm to group wells...

... of 93.50%, demonstrating its higher accuracy and reliability in capturing data variability for dependable forecasts. This comparison highlights the potential of advanced machine learning models in managing the noisy data typical of these reservoirs, advocating for a shift towards these more sophisticated...

... Abstract This paper delves into the creation of a groundbreaking Generative AI (GPT) model, specifically designed for oil and gas production forecasting. It outlines the objectives behind developing this first-of-its-kind model, emphasizing the focus on enhancing prediction accuracy...