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Keywords: forecasting
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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4029160-MS
...URTeC: 4029160 Applying Numerical RTA to Public Data: Enabling Field-Wide Property Calibration and Improved Public Data EUR Forecasts Braden Bowie*1, Jordan Bowie2, Mathias Lia Carlsen3, 1. APA, 2. ARC, 3. Whitson Copyright 2024, Unconventional Resources Technology Conference (URTeC) DOI 10.15530...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4042557-MS
...URTeC: 4042557 Physics Informed Deep Learning Models for Improving Shale and Tight Forecast Scalability and Reliability Kainan Wang1, Lichi Deng1, Yuzhe Cai1, Guido Di Federico2, Keith Ramsaran1, MunHong Hui1, Hussein Alboudwarej1, Christian Hager1, Yuguang Chen1, Xian-Huan Wen1, 1. Chevron U.S.A...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4036015-MS
... a reservoir model that captures essential features of flow in petroleum reservoirs while simplifying complexities. RGNet has been successfully applied to various reservoir management problems, spanning reservoir connectivity analysis, resource volume estimation, forecasting, and flood optimization. However...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043583-MS
... Abstract This paper focuses on the application of a novel Generative AI (GPT) model for early-stage oil and gas production forecasting. The primary objective is to demonstrate the model's ability to provide accurate production estimates with minimal historical data, a challenge that has...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044635-MS
... 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...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3863926-MS
... of formation and fluid data. Besides, frequent manual operations are always ignored in the production history because of their cumbersome processing. To overcome this limitation, a supervised deep neural network (DNN) model is established in this paper to forecast hydrocarbon production that considers...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723189-MS
... all U.S. shale plays over the past decade, there is an increasing concern of maintaining profitability of these wells with increasing gas oil ratios and declining oil production and thus missing oil volume expectations. However, forecasting gas production has been a challenge in tight oil...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-47-MS
... neural network information workflow Artificial Intelligence forecasting prediction deep learning time step unconventional resource production forecasting machine learning Upstream Oil & Gas URTeC algorithm decline curve analysis lstm historical data architecture application...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-145-MS
... Artificial Intelligence Upstream Oil & Gas forecasting outlier production rate workflow algorithm deep learning imputation sequence neural network Production Surveillance physics-based training feature data sequence long short-term memory ground truth aberrant segment unconventional...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2015
Paper Number: URTEC-2172214-MS
... observed in liquids-rich shale (LRS) zones - even those with significant levels of overpressure - and it's possible to overestimate ultimate condensate recovery if condensate yields are not forecasted accurately. Indeed, we know that physical mechanisms causing phase change within shale gas formations can...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 25–27, 2014
Paper Number: URTEC-1965548-MS
... in six wells. This includes straight line plots, type-curve analysis, analytical model history matching and probabilistic forecasting. In addition, pressure dependent permeability and average reservoir pressure increase due to fracture injection fluids effects on well performance will be discuss...

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