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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, August 31–September 4, 2020
Paper Number: SPE-200326-MS
... ] and supervised machine learning [ 55 ] methods considered in this work [ 10 ], [ 11 ], [ 14 ], [ 15 ], [ 39 ], [ 67 ]. The proposed model works for the widest spectrum of MMP from 1000 to 4900 psia which cover the entire range oils within the scope of CO 2 EOR based on the screening criteria [ 54 ], [ 75...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, August 31–September 4, 2020
Paper Number: SPE-200321-MS
... when compared to the prior probability distribution. machine learning modeling & simulation reservoir characterization bayesian inference enhanced recovery reservoir simulation artificial intelligence upstream oil & gas reservoir simulator experiment dimensionality oil recovery...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, August 31–September 4, 2020
Paper Number: SPE-200410-MS
... upstream oil & gas experiment machine learning equation of state relative permeability modeling & simulation fluid dynamics contact angle state parameter hysteresis connectivity estimation partial derivative interfacial area wettability fluid modeling flow in porous media euler...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, August 31–September 4, 2020
Paper Number: SPE-200426-MS
... chemical flooding methods waterflooding self-adaptive microgel flooding technology machine learning flow in porous media self-adaptive microgel artificial intelligence fluid dynamics enhanced recovery upstream oil & gas microgel experiment polymer flooding low permeability layer...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, August 31–September 4, 2020
Paper Number: SPE-200355-MS
... of issues in the water availability. The oil rate displayed good recovery values, thus, demonstrated the efficiency of the proposed higher concentration dosage mechanism for inducing additional crossflow. chemical flooding methods machine learning production monitoring production control...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, August 31–September 4, 2020
Paper Number: SPE-200365-MS
... ), 184 – 201 . https://doi.org/10.2118/154841-ms Alvarado , V. , Ranson , A. , Hernández , K. , Manrique , E. , Matheus , J. , Liscano , T. , & Prosperi , N. ( 2002 ). Selection of EOR/IOR Opportunities Based on Machine Learning . Proceedings of the European...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, August 31–September 4, 2020
Paper Number: SPE-200360-MS
... optimization, the NPV is calculated by a machine learning (ML) proxy model trained to accurately approximate the NPV that would be calculated from a reservoir simulator run. The ML proxy model can be obtained with either least-squares support vector regression (LS-SVR) or Gaussian process regression (GPR...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, August 31–September 4, 2020
Paper Number: SPE-200434-MS
... shown promising results in a wide range of supervised and unsupervised machine learning tasks. However, the task of training DNNs to accurately identify a nonlinear map from a few potentially very high-dimensional input and output data pairs is very challenging due to the large solution spaces. DNNs...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, August 31–September 4, 2020
Paper Number: SPE-200466-MS
... of such challenges. Therefore, it is important to develop an efficient and trustworthy workflow for optimizing well spacing in any shale reservoir. machine learning reservoir characterization reservoir surveillance hydraulic fracturing production monitoring shale gas history matching upstream oil...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, April 14–18, 2018
Paper Number: SPE-190257-MS
... equilibria and fluid property data for gas EOR reservoir simulation studies. Modeling & Simulation machine learning enhanced recovery Upstream Oil & Gas Artificial Intelligence concentration experimental program reservoir fluid miscibility pressure point pressure injection gas...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, April 14–18, 2018
Paper Number: SPE-190239-MS
... in the reservoir. Over the last decade, non-physics based proxies have increased dramatically in popularity, owing to recent advances in artificial intelligence and machine learning, and a broad wave of emerging ‘Big Data’ applications in research and industry. This class of proxies typifies an entirely data...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, April 14–18, 2018
Paper Number: SPE-190170-MS
... applied, which revealed the underlying petrophysical differences between MP and ROZ. This new predictive approach using machine learning techniques, could potentially address the challenges that previous studies have come up against in defining the ROZ within the formation and quantifying remaining oil...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, April 14–18, 2018
Paper Number: SPE-190163-MS
... problem bottom hole pressure recovery Artificial Intelligence operational decision parameter Rumaila Oil Field machine learning gas injection method Gravity Drainage water cut enhanced recovery reservoir proxy model injection Upstream Oil & Gas experiment gdws-agd process oil recovery...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, April 14–18, 2018
Paper Number: SPE-190153-MS
... of co-solvent partitioning, soap formation and the molecular structure of both the surfactants and co-solvents. machine learning PVT measurement optimum solubilization ratio carboxylate surfactant solubilization ratio standard error Artificial Intelligence EACN optimum salinity partition...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, April 14–18, 2018
Paper Number: SPE-190297-MS
... is required for supply of large surfactant volumes. machine learning Drillstem Testing enhanced recovery Upstream Oil & Gas strategic planning and management Artificial Intelligence olefin sulfonate surfactant concentrate EOR project viscosity modifier dilution gel formation...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, April 14–18, 2018
Paper Number: SPE-190206-MS
.... The proposed metrics will be equally applicable elsewhere. real time system waterflooding oil production enhanced recovery breakthrough machine learning Upstream Oil & Gas recovery configuration initial rpi linear relationship final oil recovery multi-well scenario fluid property...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, April 11–13, 2016
Paper Number: SPE-179523-MS
... methods more efficiently. wax remediation flow assurance Hydrate Remediation machine learning enhanced recovery thermal method heavy oil upgrading scale remediation wax inhibition SAGD scale inhibition bitumen hydrate inhibition asphaltene remediation remediation of hydrates paraffin...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, April 11–13, 2016
Paper Number: SPE-179524-MS
... reservoir management. knowledge management Modeling & Simulation enhanced recovery Artificial Intelligence effluent water injection producer upper burgan Upstream Oil & Gas sabiriyah upper burgan North Kuwait machine learning injector Reservoir Management water flood water...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, April 11–13, 2016
Paper Number: SPE-179694-MS
... polymer injectivity chemical flooding methods viscosity machine learning Modeling & Simulation concentration Upstream Oil & Gas shear resistance factor shear rate enhanced recovery injectivity polymer flow rate injection well Radial Model degradation experiment glycerol core...
Proceedings Papers

Paper presented at the SPE Improved Oil Recovery Conference, April 11–13, 2016
Paper Number: SPE-179582-MS
... heterogeneity causing variations in sweep efficiency. An analytical method was developed to optimize WAG schedules that couples traditional reservoir modeling and simulation with machine learning, enabling the discovery of optimal WAG schedules that increase recovery at the pattern level. A history-matched...

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