... enhanced recovery oil recovery incremental oil recovery relative error climate change interaction feature interaction optimization rf proxy model rock type chemical flooding methods proxy model model output explanation numerical model artificial intelligence machine learning reservoir...

... sandstone subsea system objective function structural geology modeling & simulation production monitoring clastic rock asset and portfolio management oil production water injection vrr value workflow producer well proxy model platform artificial intelligence production control ipsm...

... dynamic properties are predicted from time-invariant static properties like porosity and permeability by a U-Net deep-learning model. Second, DNN is applied to develop a proxy model for the well production rates, in which the input parameters are static gridded parameters such as porosity and permeability...

... and validation of a proxy model by design of experiments. The screening tool employs this proxy model to generate immediate screening results without the need to run additional simulations. The screening tool was further validated with upscaled experimental data. A set of prediction results on the range of oil...

... and sequentially improve the estimates until they converge, hopefully to an acceptable solution ( Wright, 2006 ). A proxy model is an analytical function that emulates the highly dynamic response by approximating a numerical reservoir model. Proxy model can be leveraged to replicate the numerical reservoir...

.... In this paper four case studies including mature and green fields have been described and a number of main issues and pitfalls of using probabilistic dynamic modeling in those cases are analyzed. General workflows are then presented for green and brown fields based on experimental design, proxy modeling...

... to increased gas injectivity and maintains the injection pressure ( Rao et al., 2004 ). Figure 1 illustrates the basic concepts of the GAGD process. After create and evaluate a complete set of designed experiments (training data), it was necessary to build the proxy model in order to enable design...

...). In this study, proxy models were developed for predicting the shale barrier size using reservoir parameters and the IP of SAGD production data. In addition, a field application was carried out for verification of the developed proxy models using the data from Suncor's Firebag SAGD project, Alberta, Canada...

... geological and dynamic models when assessing the field uncertainty. This is achieved by predefining value sets and their uncertainty ranges and employing an experimental design technique. The information for each realization is used to generate a proxy model, which is then used to interpolate an objective...

.... Figure 21 Streamlined well configuration for MRL330 model. Figure 22 Streamlined well's configuration for ENCOBR model. Figure 23 Streamlined well configuration for MRL330 model. Figure 9 Proxy model: defining a group constraint. Figure 10 Proxy model: defining...