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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE European Formation Damage Conference & Exhibition, June 5–7, 2013
Paper Number: SPE-165157-MS
... a reliable substitute for time/expense consuming experimental works in different range of time, flow rate, temperature and brine concentration. wax remediation Artificial Intelligence paraffin remediation scale remediation Production Chemistry oilfield chemistry machine learning Hydrate...
Proceedings Papers

Paper presented at the SPE European Formation Damage Conference, June 7–10, 2011
Paper Number: SPE-143386-MS
... through type curve matching of the pressure and its derivative by minimizing the objective function to help determine the parameters that provide the best match between the field data and the presented novel fractured injector type curves. machine learning optimization problem pressure transient...
Proceedings Papers

Paper presented at the SPE European Formation Damage Conference, June 7–10, 2011
Paper Number: SPE-144194-MS
.... production monitoring machine learning artificial intelligence acidizing reservoir surveillance convection temperature behavior acid distribution horizontal well temperature response reaction injection upstream oil & gas inverse model conduction temperature data production control...
Proceedings Papers

Paper presented at the 8th European Formation Damage Conference, May 27–29, 2009
Paper Number: SPE-120964-MS
... drilling fluid chemistry flow in porous media drilling fluid formulation completion productivity drilling fluid selection and formulation drilling fluids and materials drillstem/well testing formation damage skin factor machine learning drilling fluid property Upstream Oil & Gas...
Proceedings Papers

Paper presented at the SPE European Formation Damage Conference, May 13–14, 2003
Paper Number: SPE-82236-MS
... biot constant artificial intelligence compressive strength horizontal stress rock property log analysis failure criteria mechanical rock property well logging reservoir rock wireline mechanical rock property model hydraulic unit machine learning prediction calibration porosity upstream...

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