..., a factorial 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...

... 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 regime mechanics equation reservoir characterization...

.... The glue of the method is a set of artificial intelligence tools that give the flexibility needed to deal with complex fractured reservoirs. Abstract The field is located in the southeastern part of the West Siberian basin in Novosibirsk oblast ( Fig. 1 ). It was the first field in the basin where...

... 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 Upstream Oil & Gas regression fluid modeling PVT measurement variation calculation...

... of the hydraulic fracture stimulation on the acoustic waveforms. The absence of shear wave information limited the use of the technique ( Figure 5 ). Artificial Intelligence spe 108479 fracture height well logging upper magdalena valley Colombia log analysis Upstream Oil & Gas information module...

... 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...

... is not complicate. Comparing Rotating and Non-rotating Times of Selected Wells drilling fluid chemistry Artificial Intelligence drilling operation drilling fluids and materials drilling fluid property Upstream Oil & Gas bit hydraulic horsepower Khangiran field depth interval drilling rate...

... in liquid slugs ( Fig. 1 ). The gas in liquid slugs is taken into account in Eq.8 , which expresses the average void fraction in slug unit ( Fig.2 ): Dispersed bubble flow production control production logging Artificial Intelligence Reservoir Surveillance production monitoring Upstream...

... 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...

... 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...

... technique fatigue limit Artificial Intelligence original connector thread profile application stress concentration product line resistance riser application fatigue performance characterization Upstream Oil & Gas modification assessment riser connector qualification stress range thread...

... expert system Artificial Intelligence Upstream Oil & Gas gravity segregation producer diagnosis reservoir permeability strata objective high permeability strata injector well information fuzzy logic corrosion application correlation water production hybrid intelligent system...

...-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...

.... 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...

... 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...

... 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...

... 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...

... 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...

..., 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...

... by the STOIIP technique. The exercise showed that the PPM technique is a valuable method in delineating reservoir regions with favourable production potential for well placement, especially in complex sedimentary environments. Reservoir Characterization reserves evaluation Artificial Intelligence...