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1-20 of 127
Keywords: production forecasting
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Proceedings Papers
Use of the RTAPK Core Analysis Method to Evaluate the Impact of Matrix Heterogeneity on Flow-Regime Signatures and Permeability Estimation
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4024058-MS
... in the laboratory, which in turn can be used to inform analysis of field data. fluid dynamics geologist permeability complex reservoir rock type reservoir surveillance production monitoring permeability heterogeneity heterogeneity clastic rock production forecasting core analysis plug...
Proceedings Papers
Towards Universal Production Forecasting via Adversarial Transfer Learning and Transformer with Application in the Shengli Oilfield, China
Available to Purchase
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4032318-MS
... accurate and universally applicable production forecasting across different reservoir types. Our method involves segregating production data from different reservoir types into distinct domains. We employ a joint transformer model to project these domains into a unified representation space. Transformer's...
Proceedings Papers
Application of a Sparse Hybrid Data-Driven and Physics Model in Unconventional Reservoirs for Production Forecasting
Available to Purchase
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
Assessing B-Factor Through Production Analysis and Simulation Modeling in Permian Unconventional Wells
Available to PurchaseMei Han, Paul Nguyen, Markus Emsermann, Cyd Ruidiaz-Santiago, Xueying Xie, Soodabeh Esmaili, Osama Raba
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
Forecasting Production Loss for Delayed Secondary Bench Development in the Midland Basin
Available to Purchase
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
A Comparative Study for Probabilistic EUR Forecasting in Shale Gas Reservoir Using Early-Time Production Data
Available to Purchase
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
Transforming Early-Stage Oil and Gas Production Forecasting with Generative AI
Available to Purchase
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
Machine Learning vs. Type Curves in the Appalachian Basin: A Comparative Study
Available to Purchase
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
Fast Optimization of the Net Present Value of Unconventional Wells Using Rapid RTA
Available to Purchase
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
Enhanced Decision Making and Asset Optimization for Unconventional Resources with Type Wells (DCA), RTA-Based Numerical Modeling and Machine Learning
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044552-MS
... values, and outliers. Additionally, each production forecasting method can represent a degree of ambiguity due to assumptions, limitations, and approximations. Reducing the uncertainty in production forecasts requires exploring different techniques with a range of outcomes. This paper will showcase...
Proceedings Papers
Efficient Field Development Decisions Driven by Artificial Intelligence: A Permian Basin Example
Available to PurchaseHui Zhou, Johan A. Daal, Tom Williford, Qin Lu, Michael Burkard, Lee McAuliffe, M. D. Rincones, Rafael Paz Lopez
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
Improving Accuracy of an Auto-Forecasting Engine Using a Bayesian Maximum Likelihood Framework for Empirical Decline Curves
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044312-MS
... economics arp bayesian 60 1 unconventional play petroleum play type production monitoring urtec bayesian maximum likelihood framework geologist production forecasting artificial intelligence machine learning regression engine geology modeling & simulation production control workflow...
Proceedings Papers
Evaluation of Empirical Correlations and Time Series Models for the Prediction and Forecast of Unconventional Wells Production in Wolfcamp A Formation
Available to PurchaseAimen Laalam, Houdaifa Khalifa, Habib Ouadi, Mouna Keltoum Benabid, Olusegun Stanley Tomomewo, Mouad Al Krmagi
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043738-MS
... conventional reservoirs have well-established techniques for production forecasting, unconventional reservoirs present unique challenges due to their complex geological characteristics. Accurate prediction and forecasting of production from this unconventional reservoir are crucial for optimizing field...
Proceedings Papers
Enhancing Production Forecasting Accuracy: A Machine Learning Approach in the Permian Basin
Available to Purchase
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
A Novel Fracture Conductivity Calculation Methodology for Integrating Fracture Simulation and Rate Transient Analysis (RTA) for Unconventional Development
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044817-MS
.... These key parameters were used to set up the RTA model for history matching and production forecast. By applying the in-house fracture conductivity calculation workflow and the measured pressure response, the calibrated fracture model results show that conductive fractures are aligned with the fracture...
Proceedings Papers
Statistical Analysis of Estimated Ultimate Recovery: Comparing Machine Learning and Traditional DCA Methods in Eagle Ford and Bakken
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Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4049496-MS
... of machine learning and traditional models' capacities and limitations in forecasting EUR for unconventional reservoirs. geologist sedimentary rock clastic rock rock type production monitoring geology complex reservoir bakken reservoir surveillance deviation production forecasting eur...
Proceedings Papers
Optimizing Unconventional Well Performance: Streamlining Type Curve Benchmark Analysis for Enhanced Production Insights
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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
Estimated Ultimate Recovery in Horizontal Wells: A Data-Driven Approach
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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
Construction of Parametric Type Well Profiles Using Linear Models
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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
Effects of Early-Time Production Data on Machine-Learning-Assisted Long-Term Production Forecasting
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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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