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Keywords: regression model
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Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205700-MS
... machine learning artificial intelligence regression model prediction perforation ratio turbulence flow coefficient reservoir pressure perforation efficiency reservoir thickness permeability perforation interval coefficient empirical relation reservoir model gas reservoir model comparative...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, November 17–19, 2020
Paper Number: SPE-202387-MS
... neural network upstream oil & gas regression model drillstem/well testing train test split accuracy application reservoir simulation regression prediction linear regression machine learning artificial intelligence drilling operation bhp gauge failure dataset society of petroleum...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, November 17–19, 2020
Paper Number: SPE-202271-MS
... (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...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, October 23–25, 2018
Paper Number: SPE-191985-MS
... 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 describe application of the workflow...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, October 23–25, 2018
Paper Number: SPE-191909-MS
... feasibility composition classification problem RVP vapour pressure Artificial Intelligence accuracy processing terminal application terminal regression model predictor parameter valve operator Upstream Oil & Gas prediction Deep Blue algorithm society of petroleum engineers signature...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 17–19, 2017
Paper Number: SPE-186925-MS
... recovery Reservoir Characterization SAGD steam-assisted gravity drainage machine learning Modeling & Simulation regression model sagd production data proxy model Screening analysis reservoir parameter nonlinear proxy model shale barrier size field application shale interbedded oil sand...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, October 22–24, 2013
Paper Number: SPE-165743-MS
... porosity and connected porosity to the fracture and vug properties, which have a close relationship with the reservoir production in the field. well logging regression model machine learning artificial intelligence thickness log analysis principal component prediction reservoir quality...
Proceedings Papers

Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, October 8–10, 2002
Paper Number: SPE-101939-STU
..., 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...

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