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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Conference, September 28–October 2, 2020
Paper Number: SPE-199917-MS
... approach involving machine-learning techniques to efficiently track the solvent chamber positions in heterogeneous reservoirs. First, a detailed sensitivity analysis is performed to examine the impacts of shale barriers on WSI production responses, which include the oil rate and the evolution of solvent...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Conference, September 28–October 2, 2020
Paper Number: SPE-199906-MS
... of the two rock types. The petrophysical properties and operating constraints ( Table 1 ) are extracted from Suncor's Firebag project, as presented in Zheng et al. (2018a , 2018b ). machine learning enhanced recovery flow in porous media reservoir simulation chamber development flow simulation...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Conference, September 28–October 2, 2020
Paper Number: SPE-199908-MS
... greenhouse gas emissions. thermal method machine learning bitumen complex reservoir artificial intelligence optimization problem enhanced recovery sagd oil sand steam-solvent combination steam-assisted gravity drainage upstream oil & gas logarithmically sagd operation cumulative oil...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Conference, September 28–October 2, 2020
Paper Number: SPE-199933-MS
...-assisted gravity drainage plateau flow in porous media fluid dynamics irani machine learning reservoir surveillance sagd svrcek bitumen oil rate log-log model correlation butler 5-line model variation coalescence farouq ali steam chamber steam-assisted gravity-drainage oil rate...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Conference, September 28–October 2, 2020
Paper Number: SPE-199938-MS
... deployment to better understand the complex wellbore hydraulic of the well and measure the key parameters in optimizing the production operation. This study is a design stage for future quantitative measuring of flow profiling using DAS systems. machine learning completion monitoring systems...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, March 13–14, 2018
Paper Number: SPE-189725-MS
... history matching steam-assisted gravity drainage enhanced recovery reservoir simulation geological realization probabilistic forecasting forecasting simulation result Thickness shale barrier machine learning SAGD Upstream Oil & Gas oil recovery factor shale proportion permeability SAGD...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, March 13–14, 2018
Paper Number: SPE-189747-MS
... period drilling operation esp pump failure machine learning regression model detection artificial lift system Upstream Oil & Gas SAGD operation scale analysis geometry non-failure event statistics probability production period geology well head parameter wellhead data society...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, March 13–14, 2018
Paper Number: SPE-189735-MS
... and approximating the relationships between system input and outputvariables using machine learning algorithms ( Solomatine et al., 2008 & 2009 ). It does not require the explicitknowledge of the system of interest (e.g., governing equations and detailed description of the physical phenomena). It is proposed...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, March 13–14, 2018
Paper Number: SPE-189753-MS
... in operations design in the presence of reservoir heterogeneities. machine learning steam-assisted gravity drainage thermal method SAGD SAGD production Artificial Intelligence history matching Upstream Oil & Gas flow simulation matrix training data near-well region algorithm shale barrier...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, March 13–14, 2018
Paper Number: SPE-189772-MS
... Abstract A novel modeling technology termed " Data Physics " that combines reservoir physics with machine learning is validated against a conventional reservoir simulator for thermal recovery problems, i.e., steam flooding and steam assisted gravity drainage (SAGD). The novelty of the new model...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, February 15–16, 2017
Paper Number: SPE-185014-MS
... enhanced recovery thermal method data quality oil sand machine learning bitumen Upstream Oil & Gas calibration curve SAGD solvent recovery cylinder steam drive Artificial Intelligence fraction steam-assisted gravity drainage complex reservoir separator sampler Bitumen...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, February 15–16, 2017
Paper Number: SPE-184971-MS
.... machine learning thermal method Artificial Intelligence SAGD Modeling & Simulation enhanced recovery steam-assisted gravity drainage radarsat-2 satellite cyclic steam stimulation Upstream Oil & Gas insar observation operation InSAR measurement InSAR ground deformation injection...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, February 15–16, 2017
Paper Number: SPE-184972-MS
... characterized any changes to ICD flow relationships before and after the trial. Inspections of the devices post-operation provided crucial learnings on the mechanical integrity of such systems. Reservoir Surveillance injector completion production control production logging inspection machine...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, February 15–16, 2017
Paper Number: SPE-184984-MS
... of the barriers. enhanced recovery machine learning thermal method reservoir simulation steam-assisted gravity drainage training dataset heterogeneity SAGD Engineering Artificial Intelligence Upstream Oil & Gas basic shale unit History Reservoir Heterogeneity production profile numerical...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, February 15–16, 2017
Paper Number: SPE-185000-MS
... determination society of petroleum engineers machine learning bitumen abram PSD class minor class psd curve reservoir characterization Particle Size Distribution (PSD) is an important characteristic of granular media. The PSD is also an essential information in the design of wellbore completions...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, February 15–16, 2017
Paper Number: SPE-184996-MS
..., a major progress. It can also serve as a critical guideline to estimate and predict the water/polymer breakthrough and the oil production in viscous-oil benchscale experiments and field projects. machine learning flow in porous media Upstream Oil & Gas experiment enhanced recovery Fluid...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, February 15–16, 2017
Paper Number: SPE-184990-MS
...-assisted gravity drainage objective function model validation machine learning flow in porous media Fluid Dynamics oil production Eocene reservoir primary production enhanced recovery producer data analysis SAGD validated model viscosity Kuwait pilot area st Eocene reservoir influx...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, June 7–9, 2016
Paper Number: SPE-180716-MS
... simulation and history-matching workflows, but it rather offers a complementary tool for extracting additional information from field data and incorporating AI-based models into practical reservoir modeling workflows. enhanced recovery machine learning Artificial Intelligence steam-assisted gravity...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, June 7–9, 2016
Paper Number: SPE-180715-MS
... of heterogeneous reservoir features from the profiles of SAGD field production data. Artificial Intelligence thermal method SAGD machine learning neural network enhanced recovery steam-assisted gravity drainage oil production prediction Reservoir Heterogeneity proxy model SAGD production basic...
Proceedings Papers

Paper presented at the SPE Canada Heavy Oil Technical Conference, June 9–11, 2015
Paper Number: SPE-174405-MS
... & Gas reward matrix Artificial Intelligence pipeline monitoring information Upstream Oil & Gas leak detection detection continuous monitoring satellite Game Theory application oil spill society of petroleum engineers pipeline monitoring probability machine learning node imagery...

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