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Keywords: production 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-4033921-MS
... assumptions. This study aims to develop reservoir models blending data-driven insights and physics-based constraints, utilizing routine data (rates and pressures) for pressure-aware production forecasting. We propose a novel approach for identifying rate-pressure relationships in unconventional reservoirs...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4029346-MS
... geologist fluid dynamics clastic rock mudrock complex reservoir petroleum geology reservoir surveillance hydraulic fracturing modeling & simulation production control drillstem/well testing drillstem testing production forecasting basin mudstone permeability texas reservoir...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4037004-MS
... the decreasing number of new wells unaffected by parent influences and the increasing total parent depletion amount each year. production forecasting configuration depletion parent child degradation midland basin wolfcamp staggered configuration artificial intelligence urtec delayed secondary...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043379-MS
... production forecasting proceedings seg unconventional resource technology conference rock type lee urtec doi probabilistic eur forecasting tlf mudrock artificial intelligence transition regime transition unconventional reservoir unconventional resource technology conference usa URTeC...
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-4036239-MS
... the initial 3 years of production. We generated forecasts for all 2022+ wells using both TC and ML approaches for comparison. ML models maintain or improve predictive accuracy of production forecasts over the TC methodology. This study also analyzes the differences in standard TC Area definition versus a ML...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043501-MS
... in these methods. Our results highlight the importance of accounting for variable pressure effects in unconventional wells for accurate: production forecasting, NPV calculations, and optimization of fracture clusters and total number of fractures. The major contribution of this work is the implementation...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044067-MS
... sources, such as well reports and communication documents. Machine learning models are employed for production forecasting based on historical data, geological characterization, and development strategies. This integrated workflow significantly improves the efficiency of numerous reservoirs engineering...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044746-MS
... value to young well production. geologist forecast production forecasting artificial intelligence geology machine learning enhancing production forecasting accuracy basin unconventional resource technology conference complex reservoir history machine learning approach operator...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044736-MS
... for structuring daily data for production forecasts, production actuals and type curves, and liberating that data in a consolidated dashboard. In organizations, the desire is to look at data that is aligned with the daily actuals coming from the field, however, monthly data is much more common as actuals...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4048995-MS
... drilling production forecasting eur data mining machine learning unconventional resource technology conference completed ft geology shale gas geochemistry geochemical characterization paper fluid optimization technology conference decline curve analysis estimation seg unconventional...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044927-MS
... introduces statistical bias. This work proposes a parametric approach to the construction of TWPs. In doing so, the method obviates the need for subjective interpretation of averages of time-rate profiles and the biases inherent to that approach. First, it is required to create production forecasts...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4055265-MS
... Abstract Production forecasting is crucial for field development. Machine Learning models have shown the potential to overcome limitations of conventional methods like Numerical simulations, reduced-order modeling, and decline curve analysis. This paper presents a newly developed machine...

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