... condition limit of the field application of the developed empirical relation. reservoir surveillance pressure transient analysis production monitoring upstream oil & gas reservoir pressure perforation interval machine learning artificial intelligence regression model prediction...

... Multiple stage regression modelling added predictive power to conventional single pass multivariate regression. In this process, a multivariate regression model was created using an early-time portion of the training dataset. The prediction results of this first regression model were then added...

... (MLP), convolutional neural network (CNN), and recurrent neural network (RNN). Two types of models are constructed: regression model with permeability values, and classification model with permeability class intervals (i.e., low, medium, and high permeability values). The evaluation metrics include R...

... a statistical range of outcomes based on a regression model, fit to a cluster of wells similar to the one being forecasted. The purpose of the method is to provide a quick forecast that uses only directly measured data that are subject to a minimal additional interpretation and modelling. In the paper, we...

... predictor parameter valve operator society of petroleum engineers signature regression analysis predictor model regression model Introduction During the 1930s and 1940s, recognised AI enthusiasts such as Alan Turing began to explore the possibilities in "neural networks," which...

... recovery steam-assisted gravity drainage thermal method Artificial Intelligence Upstream Oil & Gas machine learning Modeling & Simulation shale barrier size Reservoir Characterization SAGD regression model sagd production data proxy model Suncor Screening analysis reservoir parameter...

... regression model to link reservoir productivity to the predictor variables. Fig. 1 shows the relationship of fluid flow rate with the first principal component in the 16 wells. Multilayer Contribution to Total Production Table 1 presents the total reservoir fluid flow rate of the 16 wells. However...

..., correlation relationship between dependent reservoir parameters will be represented better and more exactly with non-linear regression models. The "box" method is introduced in this research as an improved technique in handling these more accurate non-linear regression models compared to conventional method...