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1-20 of 127
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-4037004-MS
... to concurrent development with primary benches. Our approach involved creating causal inference ML models tailored to assess the isolated effects of spacing on production forecasts in the Midland basin. Using these ML models, we forecasted two scenarios: 1) simultaneous development of a secondary bench...
Proceedings Papers
Mei 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
... operating conditions and a consistent flow regime. Additionally, it is important to recognize that DCA provides a non-unique solution. Despite these limitations, DCA finds widespread use in the petroleum industry, as described below: 1) Single-well production forecast: helps predict production rates...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043501-MS
... The differences in the NPV function for the DCA and Rapid RTA techniques relate to the distinct future production behaviors observed in these methods. Our results highlight the importance of accounting for variable pressure effects in unconventional wells for accurate: production forecasting, NPV calculations...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4033921-MS
...URTeC: 4033921 Application of a Sparse Hybrid Data-Driven and Physics Model in Unconventional Reservoirs for Production Forecasting Hardikkumar Zalavadia1, Sathish Sankaran2, 1.Texas A&M University, 2. Xecta Digital Labs Copyright 2024, Unconventional Resources Technology Conference (URTeC) DOI...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4024058-MS
... heterogeneity clarkson production control arrangement 1 deviation experiment hydraulic fracture flow-regime signature permeability heterogeneity orthogonal rtapk experiment production forecasting core analysis plug orthogonal mbag URTeC: 4024058 Use of the RTAPK Core Analysis Method to Evaluate...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043379-MS
... clastic rock sedimentary rock geology shale gas mudstone unconventional resource technology conference complex reservoir production forecasting proceedings seg unconventional resource technology conference rock type urtec doi geologist mudrock artificial intelligence transition...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4036239-MS
... 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-generated Rock Quality Index. Furthermore, the ML models were used...
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-4032318-MS
...URTeC: 4032318 Towards Universal Production Forecasting via Adversarial Transfer Learning and Transformer with Application in the Shengli Oilfield, China Ji Chang*1, Jin Meng1, Dongwei Zhang1, Tianrui Ye1, Han Wang1, Yitian Xiao1, 1. SINOPEC Petroleum Exploration and Production Research Institute...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044312-MS
... data is, given certain values of the parameters. In regression, this typically involves assumptions about the distribution of the residuals (e.g., normally distributed errors). For discrete production forecasts for oil and gas wells, the MLE is the estimate for the parameters in the Arps decline curve...
Proceedings Papers
Hui 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
..., 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 tasks, including...
Proceedings Papers
Aimen 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
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
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044736-MS
... production forecasting complex reservoir inflow performance performance indicator unconventional resource economics well performance energy economics streamlining type curve freeborn calculation strategic planning and management forecast benchmarking russell enhanced production...
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 geology complex reservoir history artificial intelligence machine learning forecast production forecasting unconventional resource technology conference arp equation figure 1 basin delaware basin enhancing production forecasting accuracy...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4049496-MS
... eagle ford geologist deep learning artificial intelligence sedimentary rock machine learning complex reservoir ultimate recovery information geology reservoir surveillance nrmse production forecasting eur lstm unconventional reservoir eur prediction clastic rock rock type...
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-4048995-MS
..., maximizing economic returns. geology drilling operation geologist directional drilling eur machine learning technology conference production forecasting complex reservoir artificial intelligence data mining geological subdiscipline unconventional resource technology conference ultimate...
Proceedings Papers
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
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4055265-MS
... fluid dynamics geologist neural network clastic rock shale gas complex reservoir artificial intelligence deep learning mape rock type dataset modeling & simulation machine learning realization production forecasting accuracy prediction permeability sedimentary rock geology...
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