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Keywords: data mining
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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3713006-MS
... characterization and facilitates the completion parameter optimization thereby improving reservoir development in unconventional oil reservoirs. energy economics artificial intelligence drillstem testing unconventional resource economics data mining shale gas machine learning upstream oil & gas...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3703282-MS
... surveillance drillstem testing drillstem/well testing correlation dynamic gradient hole permanent gauge data mining production logging upstream oil & gas flowing period prediction production control artificial intelligence direct measurement complex reservoir bhp training data set input...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3703284-MS
... the statistical methods to be considered as the baseline for assessing the performance of the predictive models for production profiles in unconventional reservoirs. machine learning modeling & simulation flow in porous media data mining artificial intelligence complex reservoir fluid dynamics...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723843-MS
... was to identify optimal completion practices using publicly available well completion and production information and applying data-mining techniques that could accommodate nonlinear relationships. Optimization work was conducted using the data-mining tool, Gradient Boosting. The target or predicted variable...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5454-MS
... and portfolio management machine learning artificial intelligence project valuation completion equipment lateral length data mining flow in porous media directional drilling fluid dynamics well performance graph investor return project economics complex reservoir upstream oil & gas lateral...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5478-MS
... intelligence novel method reservoir characterization upstream oil & gas information structural geology chemozone data mining x-ray fluorescence spectral raw data variability cloud total variability lithofacies saudi arabia develop chemostratigraphy algorithm dataset chemostratigraphy...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5669-MS
... & gas drillstem/well testing cumulative production midpoint-to-midpoint distance pressure depletion horizontal stress anisotropy data mining structural geology stress reorientation sa ratio overlap cumulative oil production delaware basin well interference unconventional resource...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5662-MS
... artificial intelligence upstream oil & gas reservoir characterization reservoir surveillance complex reservoir information correspond application machine learning data mining hydraulic fracturing hosvd tensor tolerance level algorithm production monitoring us government dimension...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5059-MS
... that can adversely affect predictions obtained from a simulator. artificial intelligence machine learning data mining neural network shale gas upstream oil & gas class label completion predictive model complex reservoir engineering urtec modeling & simulation deep learning...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5235-MS
... and the role it can play in ascertaining the relevant parameters allows significant improvement in performance prediction for evaluating various drilling and completion practices affecting well productivity. data mining machine learning energy economics unconventional resource economics upstream oil...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2855-MS
... data mining covariate artificial intelligence upstream oil & gas information gas production eagleford oil production complex reservoir watson completion variability generalized additive model prediction error gam model wikle spatiotemporal model prediction application urtec 2855...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2751-MS
.... reservoir geomechanics shale oil data mining shale gas reservoir characterization modeling & simulation reservoir simulation complex reservoir input parameter accuracy oil shale global sensitivity analysis rom artificial neural network oil production output parameter sobol index sobol...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3077-MS
... change in new well production compared to existing (same bench) wells due to changes in completion and spacing. The approach is useful in evaluating infill wells’ drilling and completion scenarios. machine learning artificial intelligence data mining proppant reservoir simulation structural...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3188-MS
... and visualizations these data sets will become the basis for predictive analysis and machine learning to automatically identify events. benchmarking strategic planning and management flowline corrosion real time system data mining performance indicator fracturing materials hydraulic fracturing...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3167-MS
... can better forecast future production in the undeveloped area of the basin and develop a view of remaining potential. machine learning reservoir characterization production control reservoir surveillance complex reservoir data mining drilling operation resource in place estimate shale...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2938-MS
... techniques in their daily work flow and use it to optimize well completion design. machine learning data mining complex reservoir production monitoring production control artificial intelligence upstream oil & gas reservoir characterization reservoir surveillance drilling operation...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3108-MS
... modeling production monitoring modeling & simulation complex reservoir drilling operation hydraulic fracturing directional drilling machine learning data mining production forecasting neural network upstream oil & gas geologic modeling reservoir characterization reservoir surveillance...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3349-MS
... production days. Therefore, advanced warning of screen-out is critical to improve operation safety and efficiency. artificial intelligence neural network machine learning hydraulic fracturing fracturing fluid prediction screen-out prediction inverse slope model data mining proppant deep...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2885-MS
... of machine learning and natural language processing in drilling & completion reports mining and laid the foundation for more intelligent solutions, such as knowledge discovering, operation problem early warning, etc. data mining artificial intelligence deep learning information classification...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-148-MS
... Gradient Boosting techniques also gave low uncertainties in prediction. Artificial Intelligence machine learning Upstream Oil & Gas Gupta sonic velocity different regression technique hardness Gaussian process data mining prediction extreme gradient dataset Regression Technique...

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