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Keywords: Artificial Intelligence
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Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-108710-MS
... analysis based on artificial intelligence with method QFD (Quality Function Deployment) is made. The QFD method is used in this study to clarify the relation between the characteristic of the system and the system parameters. The approach used for this study is divided in the following phases...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-100201-MS
... Oil & Gas water saturation Fluid Dynamics viscosity flow in porous media exponent geometry tortuosity Poiseuille fluid flow resistivity electric flow Artificial Intelligence hydraulic tortuosity coefficient fluid mechanics Archie permeability saturation exhibition cross section...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-103284-MS
... in the field. As such, we recommend application of the described integrated approach for modeling complex fractured reservoirs in the other fields of Russian Federation. Reservoir Characterization fracture intensity Artificial Intelligence information Upstream Oil & Gas continuous fracture...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-108494-MS
... a sample and its PVT experimental results, and a compositional gradient is parametized 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...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-108479-MS
... Artificial Intelligence spe 108479 fracture height well logging upper magdalena valley Colombia log analysis Upstream Oil & Gas information module Halliburton real time system hydraulic fracturing hydraulic fracture evaluation technique evaluation technique application...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-108496-MS
... to locate reasonable solutions for smooth convex gas lift optimization problems. optimization problem DGM variant Artificial Intelligence Upstream Oil & Gas oil production function evaluation artificial lift system gas lift variant gas allocation multi-start mode discrete gradient...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-108246-MS
.... The significance of this research is to reduce the time and cost for drilling the next wells in Khangiran field. In addition, the same techniques can be applied in other hydrocarbon fields to reduce costs and time of drilling operation. drilling fluid chemistry Artificial Intelligence drilling operation...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-108506-MS
... mechanistic models for multiphase flow production control production logging Artificial Intelligence Reservoir Surveillance production monitoring Upstream Oil & Gas pressure gradient prediction liquid holdup Hasan mechanistic model depression test pressure gradient equation slug flow...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-108500-MS
... be used for optimum drilling fluid design during well development in Persian Gulf, Offshore Iran. drilling fluid selection and formulation machine learning drilling fluid chemistry drilling fluid property neural network Artificial Intelligence drilling operation drilling fluids and materials...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-108648-MS
... balance results analysis. Artificial Intelligence PVT measurement resource in place estimate Material Balance Equation estimates of resource in place reserves evaluation calculation Material Balance balance calculation Mmstb well shb-4st original oil Reservoir Characterization reservoir...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-108708-MS
.... The purpose of this paper is to highlight the knowledge that has been accumulated in various fatigue enhancement techniques and the continuous improvement of analysis capabilities. connector enhancement technique fatigue limit Artificial Intelligence original connector thread profile application...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, June 27–30, 2007
Paper Number: SPE-108702-MS
... in the paper. These cases are focused on a carbonate fractured oil reservoir and a carbonate reservoir under waterflooding. expert system Artificial Intelligence Upstream Oil & Gas gravity segregation producer diagnosis reservoir permeability strata objective high permeability strata...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, August 31–September 2, 2006
Paper Number: SPE-101701-MS
...-breakthroughs. Upstream Oil & Gas communication Artificial Intelligence information enhanced recovery criteria injection profile Halliburton injection permeability injector co 2 producer copolymer fracture History Engineer evaluation operation Injection Rate reservoir placement...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, August 31–September 2, 2006
Paper Number: SPE-101935-MS
... Artificial Intelligence Upstream Oil & Gas oil production zone 1 enhanced recovery waterflooding intervention reduce intervention Completion Monitoring Systems/Intelligent Wells Completion Installation and Operations reduce well intervention intelligent well system application conventional...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, August 31–September 2, 2006
Paper Number: SPE-102212-MS
... procedure Formation Resistivity Factor Artificial Intelligence total porosity geometry packing carbonate reservoir block size carbonate media fracture porosity media conductivity petroleum engineer deviation simplified method Upstream Oil & Gas porosity tortuosity characterization...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, August 31–September 2, 2006
Paper Number: SPE-101734-MS
.... Artificial Intelligence oil reservoir microbial enhanced oil recovery microbial method Simulation enhanced recovery modeling microbe bacteria MEOR software reservoir equation water management Upstream Oil & Gas information axis enhanced oil recovery Oil Recovery petroleum engineer...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, August 31–September 2, 2006
Paper Number: SPE-102228-MS
... limits and the capturing of best practices/lessons learned, and finally a multidisciplinary task team working closely with geosciences support enabling optimal casing seat on a highly complex geological environment. Artificial Intelligence Engineering information real time system circulation...
Proceedings Papers

Paper presented at the International Oil Conference and Exhibition in Mexico, August 31–September 2, 2006
Paper Number: SPE-103757-MS
... of the production facilities. However, for many fields this isn't a cost effective solution. Building non-parametric (Artificial Intelligence) production rate models based on pressure and temperature measurements has proven to be a valid and cost effective solution. Several processes are necessary to measure...
Proceedings Papers

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 optimization problem objective function characteristic drillstem/well testing fractured vuggy...

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