... prediction seg unconventional resource technology conference uncertainty quantification upstream oil & gas neural network urtec data mining algorithm interpretation estimator URTeC: 3865670 Data Driven Oil Production Prediction and Uncertainty Quantification for Unconventional Asset...

... Center study, several customized data sets were analyzed to quantify production impacts by key features, including well spacing, completion intensity, and parent well depletion estimated by production time and cumulative production. An extensive data mining process was applied to extract key features...

... 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...

... 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...

... 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...

... 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...

... & 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...

... 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...

... 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...

... 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...

... 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...

... 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 shale gas...

... 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 learning...

..., because of the various reporting habits, different time codding systems of fields, and the labels missing in some fields. Therefore, it s meaningful to develop an automatic anomaly detection method for management efficiency improvement and data mining of daily drilling & completion reports. Natural...

... machine learning 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...

.... 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...

... machine learning artificial intelligence data mining proppant reservoir simulation structural geology infill well production ratio reservoir characterization hydraulic fracturing fracturing fluid facies variability fracturing materials complex reservoir well performance depletion...

... Integration and Analysis Having a centralized system that can handle several hierarchical types of data adds robustness to the frac operation dataset. The system incorporates data mining tools that enrich these data sets as they are transformed into additional KPIs. The system divides these workflows...

.... Society of Petroleum Engineers. doi:10.2118/171003-MS Gupta, S., Fuehrer, F., and Jeyachandra, B. C. 2014. Production Forecasting in Unconventional Resources using Data Mining and Time Series Analysis. Society of Petroleum Engineers. doi:10.2118/171588- MS. Schuetter, J., Mishra, S., Zhong, M...