The modification of the surface wetting characteristics in fractured oil-wet carbonate reservoirs, by reversing wettability from to water-wet, leads improved oil recovery. However, order obtain a successful recovery process, it is crucial understand active mechanisms alteration. This study looks at effect sulfate ions as one most promising influencing on properties calcite; studied both with and without presence cationic surfactant possible alteration are explored. A number analytical...

Oil displacement and recovery efficiency during gas injection depends on the competition between driving forces capillary resistance that is governed by gas–oil interfacial behavior. Detailed study of main objective this research work. The effects injecting composition possibility asphaltene precipitation in a wide pressure range were determined through comprehensive experimental study. This was performed measurement tension highly asphaltenic Iranian crude oil three surrounding mediums....

Abstract A new Bayesian belief network (BBN) model with discretized nodes is proposed for fault detection and identification in a single sensor. The single‐sensor used as building block to develop BBN all sensors the process considered. index, threshold setting procedure multisensor are introduced. index exploits probabilistic information of model, which, along procedure, leads effective faulty sensors. uses only sensor determine fashion size faults that should be analyzed within moving time...

Abstract The main tool for screening of EOR techniques is generally based on the criteria presented in a variety tables and graphs given literature. These data are derived from basic theory multiphase fluid flow through porous media, reservoir simulation, laboratory experiments existing field-scale experiences. purpose this study to develop procedure capable combining extracted different sources ranging worldwide field experiences into unified expert system. This system Bayesian network...

Asphaltene precipitation affects enhanced oil recovery processes through the mechanism of wettability alteration and blockage. is very sensitive to reservoir conditions fluid properties, such as pressure, temperature, dilution ratio, injected molecular weight. A Bayesian belief network (BBN) was used in this study an artificial intelligence modeling tool investigate effect different variables/parameters on asphaltene precipitation. The predicted results from BBN model were compared...

Abstract Asphaltenes are undoubtedly one of the important difficulties in oil industry; its precipitation can impose specific affects on productivity producing zone, as well surface facilities and transportation lines. The main situ consequences their effect permeability by pore blockade, wettability alteration precipitation. In this paper, thermally induced is studied experimentally. changes rock mineral content after imposing heat thermal recovery also using XRD. results verify that...

In industrial processes, to confide the success of planed operation, implementing early and accurate method for recognizing abnormal operating conditions, known as faults, is essential. Effective fault detection diagnosis helps reducing impact these extols safety minimizes down time reduces manufacturing costs. this paper, application BBNs studied a benchmark chemical process, as, Tennessee Eastman in order achieve probable their causes. Application Bayesian belief networks process graphical...

A new Bayesian belief network (BBN) model with discretized nodes is proposed for fault detection and identification in a single sensor. The single-sensor used as building block to develop BBN all sensors the process under consideration. index, threshold setting procedure multi-sensor are introduced. Single-sensor design parameter (prior conditional probability data) optimized achieve maximum effectiveness of sensor faults. optimal values parameters polymerization reactor at steady-state...