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Keywords: prediction
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Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215091-MS
... plays. Using the initial 1.5 years of production data and a single hybrid model, the predicted pressure interference time, τ , for 6000 wells has an R 2 of 0.98. The maximum error in the predicted cumulative production of 2000 Barnett wells for any given year between the 2 nd year of production...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215103-MS
... expensive, especially when multiple DNS runs are required for uncertainty quantification. The proposed approach utilizes a deep learning model with a new neural operator that parameterizes the integral kernel directly in Fourier space, enabling fast and efficient predictions. By leveraging this approach...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215143-MS
... an ordinal classification algorithm to predict the number of generators online at any particular instant, while remaining true to the core behaviors across the fleet. Additional logic was added during testing to ensure results were realistic and interpretable by field personnel. This real-time model...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215173-MS
... Many methods have been developed to address the complexity of unconventional well performance prediction. Most complicated decline curve methods, including Duong's method ( Duong, 2010 ), Stretched Exponential ( Valko et al., 2010 ), and Power Law Exponential ( Ilk et al., 2008 ), were developed...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215149-MS
... plume size requires a fine vertical grid resolution, while the areal grid resolution impacts the dissolution rate. We make gridding scheme recommendations for reliable predictions based on these findings. We also analyze the result to quantify the error due to coarser grid size and the requirements...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214889-MS
.... geologist sedimentary rock united states government neural network geology realization clastic rock reservoir simulation upstream oil & gas deep learning reservoir geomechanics machine learning prediction artificial intelligence dataset z-direction application reservoir characterization...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214911-MS
... equilibrium and fluid dynamics. This study presents a comprehensive analysis of multiphase, partially miscible hydrocarbon mixtures using a lattice Boltzmann model which is consistent with thermodynamics and offers predictions in line with accurate equations of state. This opens the door for realistic pore...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214962-MS
... drilling fluid management & disposal log analysis well control geological subdiscipline drilling measurement uncertainty reservoir geomechanics porosity machine learning geopressure prognosis prediction workflow interpretation drilling fluid property norway government well logging...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214963-MS
... that converts core photos into continuous quantitative features that can be integrated with routine core analysis and well logs for integrated reservoir characterization. Visual rock types (VRT) and their associated properties can be predicted based on the quantitative attributes of core photos such as color...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215015-MS
... Fluid Dynamics (CFD) based erosion prediction procedure was utilized to determine the root cause of failure and help operators with integrity management of the associated piping systems and equipment. Data used for verification of erosion model included wall thickness losses and sand production data...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214972-MS
.... Conversely, the pseudo-slug velocity tends to the wave celerity near the transition to segregated flow. This observation envisions the possibility of a unified model that can predict the translational velocity of slug, pseudo-slug, and segregated flow continuously. Rodrigues (2018) experimentally...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214991-MS
... Multi O/P AdaB 0.008 Decision Tress Regression 0.009 MLP Regressor 0.036 Abstract Reservoir fluid sampling using the wireline or LWD tools has long had a difficult time predicting the filtrate contamination flowing through the tool. When the conventional curve fitting method...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214981-MS
... In the drilling industry, shale mechanical properties can be predicted by rock mechanics testing procedures or by empirical relations using well logging data [ 18 ] [ 19 ]. The accurate evaluation of anisotropic geo-mechanical properties for shale not only helps with mitigating drilling issues...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215028-MS
... Furthermore, it is important to acknowledge that the predominant data type targeted by these models is time series data, encompassing a range of forecasting problems referred to as Time Series Forecasting (TSF). To make predictions, one can employ simple linear regression, ARIMA, or basic machine...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214984-MS
...-based workflow is tested via several cases, and the results are promising. The predicted dynamic solvent chamber locations match the corresponding true locations with a high coefficient of determination and a low mean squared error. The major benefits of this workflow include reducing time for numerical...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214778-MS
... to design predictor features, and several supervised-learning methods are applied within a hyper-parameterized dimensionless space. Training, validation, and testing are performed, and confusion matrices and prediction accuracy are computed to assess the predictive capacity of the methods. The accuracy...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214818-MS
... was trained using modern deep-learning algorithms. We utilized several error metrics to evaluate and compare the accuracy of the proxy models. Finally, we fully automated the process of comparing the predictions of the trained proxy model on new cases against the outputs from actual simulations for the same...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215063-MS
..., and record ROP in the lateral. A new bit was designed, and recommended drilling parameters were defined within the data-driven virtual environment. Field testing confirmed the model’s predictions, with a 10% average increase in ROP. High-resolution at-bit downhole measurements coupled with digital...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215099-MS
... language architecture seismic facies classification artificial intelligence predicted seismic facies constraint geological constraint attention mechanism neural network mechanism conference rock type machine learning facies classification interpretation prediction Introduction Manual...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-217485-STU
... large volumes of data and draw valuable insights from them. Examples are neural networks, logistic regression, and Random Forest. In this study, we are primarily interested in probabilistic prediction rather than label classification or a deterministic prediction. The problem was treated...

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