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Keywords: machine learning
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Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-108710-MS
... of production is called primary recovery. machine learning optimization problem enhanced recovery quality function deployment recovery process evolutionary algorithm Upstream Oil & Gas criterion artificial immune system production time reservoir objective function additional oil recovery...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-108494-MS
... using the DFA observations at the different depths. A polynomial fit is then given to the distributed pressure measurements and the obtained fluid density variations are compared to the fluid model ones. Artificial Intelligence machine learning equation of state Upstream Oil & Gas...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-108500-MS
.... The proposed methodology can be used for optimum drilling fluid design during well development in Persian Gulf, Offshore Iran. drilling fluid selection and formulation drilling fluid chemistry drilling fluid property machine learning Artificial Intelligence drilling operation fluid loss neural...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the International Oil Conference and Exhibition in Mexico, August 31–September 2, 2006
Paper Number: SPE-103757-MS
... management production monitoring production logging Reservoir Surveillance machine learning Upstream Oil & Gas input parameter back allocation historical data equation drillstem/well testing oil production workflow estimation production performance Artificial Intelligence field...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the International Oil Conference and Exhibition in Mexico, August 31–September 2, 2006
Paper Number: SPE-104001-MS
... and in interpretation of test data. The modelling workflow presented in this paper is directly relevant to producing and prospective fractured Middle Cretaceous carbonate reservoirs elsewhere in the Middle East and in Mexico. machine learning Modeling & Simulation orientation heterogeneity flow in porous...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the International Oil Conference and Exhibition in Mexico, August 31–September 2, 2006
Paper Number: SPE-102228-MS
... monitoring machine learning well intervention log analysis well planning drilling data acquisition production enhancement bit selection reservoir characterization petroleum engineer enhanced recovery production control strategic planning and management casing design north america government...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the International Oil Conference and Exhibition in Mexico, August 31–September 2, 2006
Paper Number: SPE-103931-MS
..., with the desired precision. Advantages of the EA over the classical Levenberg-Marquardt method for this specific well test analysis problem are also discussed. Artificial Intelligence machine learning drillstem/well testing fractured vuggy reservoir Crossover Drillstem Testing triple porosity case...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the International Oil Conference and Exhibition in Mexico, August 31–September 2, 2006
Paper Number: SPE-104009-MS
... testing Laplace transform machine learning complex reservoir approximation infinite reservoir warren reservoir expression decline curve analysis short-time approximation north america government analytical solution longtime approximation fracture fractal system dimension production...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the International Oil Conference and Exhibition in Mexico, August 31–September 2, 2006
Paper Number: SPE-103662-MS
... and production results from several wells will be presented and discussed in the paper. log analysis machine learning well logging Artificial Intelligence natural fracture neural network petrophysical evaluation Case History porosity iride 1163 anisotropy evaluation Mexico Upstream Oil...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE International Petroleum Conference in Mexico, November 7–9, 2004
Paper Number: SPE-91920-MS
... artificial intelligence correlation prediction enhanced recovery diffusivity fluid modeling miscibility interfacial tension fluid phase equilibria exponent upstream oil & gas ift prediction parachor model objective function mechanistic model vaporization mechanism experimental machine...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE International Petroleum Conference in Mexico, November 7–9, 2004
Paper Number: SPE-91755-MS
... and reliance upon well location and production data only. infill drilling reservoir characterization fast method field development optimization and planning upstream oil & gas machine learning complex reservoir find infill drilling potential production monitoring depletion infill well...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE International Petroleum Conference in Mexico, November 7–9, 2004
Paper Number: SPE-92039-MS
... of the pressure vs. time data. hydraulic fracturing storativity machine learning sequential-feed model pressure transient analysis storativity fraction reservoir upstream oil & gas fractured reservoir specific storage drillstem testing matrix macrofracture microfracture artificial...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE International Petroleum Conference in Mexico, November 7–9, 2004
Paper Number: SPE-92240-MS
... computer machine learning type curve society of petroleum engineers type-curve analysis pressure response parameter estimation interference test signal theory spe 92240 drillstem testing procedure application reservoir field data displacement estimation interpretation correlation...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE International Petroleum Conference and Exhibition in Mexico, February 10–12, 2002
Paper Number: SPE-74387-MS
... artificial intelligence optimization technique reservoir characterization drillstem/well testing samaniego spej flow rate estimation parameter estimation upstream oil & gas block size information machine learning drillstem testing recovery behavior block size distribution spe 74387...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE International Petroleum Conference and Exhibition in Mexico, February 10–12, 2002
Paper Number: SPE-74345-MS
... logging carbonate reservoir machine learning abu dhabi fluid dynamics core porosity core data log analysis heterogeneous carbonate spe 74345 activity curve flow in porous media artificial intelligence upstream oil & gas badarinadh permeability estimation permeability middle east log...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE International Petroleum Conference and Exhibition in Mexico, February 10–12, 2002
Paper Number: SPE-74338-MS
... geologic model machine learning acquisition information porosity seismic acquisition Shared-Earth-Model The downscaling method is based on the premise that the smooth flow-simulator approximation can be distributed as a function of effective porosity, and that the porosity was not changed...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE International Petroleum Conference and Exhibition in Mexico, February 10–12, 2002
Paper Number: SPE-74389-MS
... that resulted in an estimate of uncertainty for various field development options. artificial intelligence history matching geostatistical realization regression upstream oil & gas estimate production forecast uncertainty fluid dynamics permeability machine learning production forecast...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE International Petroleum Conference and Exhibition in Mexico, February 1–3, 2000
Paper Number: SPE-58995-MS
... and for the integration of micro-fractures in the final reservoir model. reservoir porosity victor alcobia geologic modeling simulation machine learning reservoir characterisation artificial intelligence reservoir characterization antonio costa silva upstream oil & gas multiplier cggp geological...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE International Petroleum Conference and Exhibition in Mexico, February 1–3, 2000
Paper Number: SPE-59012-MS
... constant rate drawdown response drawdown response reservoir expression initial distribution initial profile machine learning fractured system wellbore pressure equation artificial intelligence adjoint problem dimensionless time spe 59012 initial condition production control dimensionless...
Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE International Petroleum Conference and Exhibition in Mexico, February 1–3, 2000
Paper Number: SPE-59030-MS
... constraint evolutionary algorithm node operator artificial intelligence colombia gas transmission network optimization fitness convergence universidad nacional optimum design genetic algorithm upstream oil & gas mutation probability machine learning number petroleum engineer algorithm...
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