1-20 of 352
Keywords: accuracy
Close
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220708-MS
... the simultaneous analysis of large datasets, its effectiveness is often compromised by data noise and ambiguity, which can degrade the accuracy of the algorithms. Hence, this research incorporates uncertainty quantification into attention mechanism neural network to produce more reliable outcomes in seismic...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220876-MS
... problem in a 2-dimensional (2D) heterogeneous reservoir. After trained on 800 physics-based simulations, the forward model ℕℕ f achieves high prediction accuracy, with R 2 scores of 0.9935 for well grid pressure and of 0.9965 for water saturation S w . The observational data comprise the bottom-hole...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220903-MS
... correlation artificial intelligence flowmeter reservoir surveillance machine learning production control gas flow rate estimation precision air emission production monitoring segmentation dataset grounding dino efficiency computer vision bridging reality accuracy Introduction...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220914-MS
... conditions. The integration of wired drill pipe and the collection of real-time downhole parameters further enhance the model's accuracy, revolutionizing drilling operations by combining data-driven insights with real-time feedback to achieve unprecedented drilling efficiency. This paper introduces a novel...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220944-MS
... substantially enhance its accuracy over time. The optimizer, an extension of the digital twin model, is tested against operational constraints of oil and water production to recommend ICV positions with projected flow rates and water cuts for each layer. Our findings align closely with a physics-based simulator...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220946-MS
... monitoring application society reservoir characterization architecture noise operator dataset cnn operation information pipeline machine learning cold lake accuracy petroleum engineer alberta Introduction Cyclic Steam Stimulation (CSS) recovery process is employed to produce...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220992-MS
.... Various machine learning models, including Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, Gradient Boosting, Naive Bayes, XGBoost, and Random Forest were tested, where XGBoost achieved the highest accuracy of 73.3%. Applying XGBoost to all wells resulted in accuracy ranging from...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220980-MS
... accuracy increases to r = 0.85. clastic rock fluid dynamics flow in porous media drilling operation log analysis well logging drilling measurement geologist rock type prediction sedimentary rock machine learning permeability magnitude permeability prediction information depth rhob...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220931-MS
... predictions are compared with the removed data set to assess model performance and accuracy. Testing the models with the removed data sets shows the traditional model has a maximum relative error (MRE) of 11.65, while the RA-based model has an MRE of 10.06. Moreover, the model with RA is 15.65% more accurate...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-221022-MS
... attains an impressive accuracy exceeding 90% across all regions. Results prove that the Large Language Model has a wide application in business optimization during unconventional asset development. This automated algorithm provides real-time insights through spending and significantly reduces...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220964-MS
... to classify PRTs from well-logging data in a cored well. The PNN algorithm is able to learn the non-linear complex relationships between well logging data and characterized PRTs, and it is able to predict PRTs with high accuracy. The confusion matrix and the total correct percent (TCP) were used as additional...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220995-MS
... on their modality. The results show that the model combined three modalities achieved an impressive level of accuracy, with a coefficient of determination (R 2 ) of 0.8771, surpassing the tabular (0.7841) and tabular-spatial (0.8230) modalities models. Additionally, global optimization was applied to further...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-221058-MS
.... Machine learning techniques enable a quick and efficient way for screening large volumes of seismic data with astonishing accuracy. Machine learning techniques were employed to enable a quick and efficient way for screening large volumes of seismic data. Training data selection, filtering of the best...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-221029-MS
..., the second uses water as the injection fluid, and the third uses CO2 and water alternately. We aligned the actual produced gas, oil, and water in each scenario for the methods with the model's predictions. We also compared the results with some selected state-of-the-art in terms of accuracy and mean squared...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220993-MS
..., there are challenges to precisely and accurately measure water cut as it evolves. This paper shares insights to improve precision and accuracy of water cut measurement during well test. The well test accuracy is validated by comparing produced water (PW) rate from process flow meter at Primary Separators with those...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-221054-MS
... application production monitoring valve completion monitoring systems/intelligent wells reservoir surveillance intervention completion installation and operations production control safety valve telegram wireless gauge icv communication operator accuracy isv intelligent safety valve...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220754-MS
... superior performance in terms of MSE error and gradient accuracy. The weight-sharing structure allows the model to efficiently model relationships with shared parameters while maintaining invariance to input permutations. For the test function, utilizing DLAG drastically improves computational efficiency...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220920-MS
... combination of operational parameters. The accuracy of the numerical modeling results was validated against an established magnetic dipole solution. For a standard tool configuration and operational frequencies, i.e., 2 MHz, the sensitivity of formation dielectric constant on simulated attenuation and phase...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220921-MS
.... machine learning classification neural network triplet artificial intelligence cnn classifier dataset inspection workflow vector nearest neighbor accuracy similarity damage classification gas equipment component validation backbone Introduction Oil and gas companies across the globe...

Product(s) added to cart

Close Modal