1-20 of 72
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/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3861644-MS
... & gas artificial intelligence information ml algorithm productivity accuracy machine learning automated detection method validation interaction energy economics fracture dependent interaction unconventional resource technology conference frac operation supervised learning algorithm urtec...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3860898-MS
... models due to advantages in handling time series data. Accuracy of model predictions was validated by ground truth data. This work showcases an example of using both physics-based and data-driven modeling to maximize value from optimizing production and operations. For the first time, the mechanism...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3861108-MS
... infrastructure and the well pads. Overall, the MPFM reduced the investment cost needed for ancillaries (space, power, manifolds, etc) and improved safety by reducing fugitive and Scope 3 emissions without compromising measurements accuracy. In every respect the MPFM provided a far better value for the operator...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3865091-MS
... that the approach can estimate pore pressures with the same or greater accuracy as traditional pore pressure prediction methods and to do so at the drill bit, in near real time. Introduction Traditional pore pressure estimation while drilling utilizes a combination of data sources most of which are detected...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3863378-MS
... events are crucial for high fracturing efficiency. The current human-made methods for identifying fracturing events are time-consuming with low accuracy, and unable to provide real-time warning of various fracturing events. In order to improve the efficiency of fracturing decision-making, this work...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3865660-MS
... by the author(s). The contents of this paper have not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject to corrections by the author(s). Any person or entity that relies on any...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3870872-MS
... forecast united states government complex reservoir production monitoring energy economics mape urtec upstream oil & gas artificial intelligence machine learning information presented reservoir surveillance canada government technology conference accuracy unconventional...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3870467-MS
... of this paper have not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility of, and, is subject to corrections by the author(s). Any person or entity that relies on any information obtained from this paper...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3870070-MS
... dataset accuracy huff-n-puff injection diffusion coefficient average error complex reservoir rock type artificial intelligence machine learning prediction algorithm engineering gas injection shale gas reservoir characteristic urtec adsorption mudstone injection recovery factor...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3834855-MS
... Technical Program Committee accepted this presentation on the basis of information contained in an abstract submitted by the author(s). The contents of this paper have not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3853784-MS
... accepted this presentation on the basis of information contained in an abstract submitted by the author(s). The contents of this paper have not been reviewed by URTeC and URTeC does not warrant the accuracy, reliability, or timeliness of any information herein. All information is the responsibility...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3861457-MS
... complex reservoir unconventional play refracturing geology completion hydraulic fracturing proppant united states government machine learning accuracy petroleum play type unconventional resource technology conference energy economics refrac completion figure haynesville paper distribution...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3863926-MS
... learning accuracy algorithm unconventional resource technology conference upstream oil & gas deep learning artificial intelligence information history hydrocarbon production behavior hyperparameter reservoir utilizing deep learning model URTeC: 3863926 Predicting Hydrocarbon Production...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3857125-MS
... time by more than an order of magnitude with minimal loss of accuracy. The reduction in computation time significantly speeded up the history-matching process, where hundreds of simulations were required. The most sensitive history-matching parameters were found to be fracture geometry and conductivity...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3702980-MS
... reservoir characterization deep learning complex reservoir artificial intelligence upstream oil & gas machine learning neural network accuracy repeatability rf hybrid xgb xgb hybrid powder river basin prediction workflow model result petrophysicist xgb xgb hybrid best result...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3707202-MS
.... The highest performance for a single well prediction using the ML models with an R 2 value of 99.90%. In a deep neural network, Bi-LSTM performs superior with an accuracy of 92.5%. The highest average accuracy obtained for single well prediction is 90.7%. Cross well prediction performed superior for all...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3719030-MS
... be cost prohibitive. In summary, measurement challenges include: • Infrequent tests due to: ∘ Measurement system cost ∘ Measurement system portability • Measurement system accuracy ∘ Measurement errors may be due to measurement system sizing and changing flow rates from the well • Lack...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3720351-MS
... reservoir characterization shale gas machine learning artificial intelligence upstream oil & gas anisotropy parameter well logging structural geology variation stiffness coefficient total porosity dipole sonic log accuracy prediction input rock property geophysics wolfcamp...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722093-MS
... in Oklahoma. The trained model was then tested against an unseen dataset of 47 recent Ovintiv wells in Oklahoma and performed with a 96% total classification accuracy. The results indicate that SWD injection rate, SWD location, SWD surface pressure, drilling fluid density, and interferometric synthetic...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723045-MS
... because of the complex string motion state in real wellbores and limited considering factors in physical model. Machine learning features in high dimensional process modelling and large volume of data processing, it's possible to increase the accuracy of T&D prediction during drilling by combining...

Product(s) added to cart

Close Modal