... correlation heavy oil fluid modeling viscosity correlation expansion state density toluene adjustable parameter prediction viscosity pure hydrocarbon equation of state hydrocarbon empirical parameter model parameter bitumen viscosity data alkane upstream oil & gas peng...

... thermodynamic micellization model prediction interaction coefficient scale remediation flow assurance crude model prediction production chemistry asphaltene precipitation hydrate remediation characterization method upstream oil & gas oilfield chemistry solid model prediction...

... asphaltene inhibition crude oil hydrate remediation sarvak oil molecular weight flow assurance scaling equation scale remediation single curve asphaltene remediation asphaltene precipitation scale inhibition asphaltene content paraffin remediation oilfield chemistry prediction 1 PAPER 2009...

...1 PAPER 2009-131 Heavy Oil Viscosity Prediction Using Surface Response Methodology F. AHMADLOO, K. ASGHARI, M. NASEHI ARAGHI Petroleum Technology and Research Center, University of Regina This paper is accepted for the Proceedings of the Canadian International Petroleum Conference (CIPC) 2009...

... production control injection production monitoring upstream oil & gas field data enhanced recovery brill heat transfer coefficient aziz reservoir surveillance production logging multi-phase flow prediction fontanilla coefficient paper spe heat loss thermal conductivity...

... recovery propane content prediction aostra journal saturation pressure propane ternary mixture upstream oil & gas bitumen composition vapex svrcek athabasca bitumen viscosity liquid phase carbon dioxide gas solubility pvt measurement heavy oil solubility 1 PAPER 2008-120 Phase...

... behavior that changes with time in a non-linear manner. Application of neural networks for field-wise analysis of waterflooding projects is very appropriate because a structural model between injection and production does not need to be specified in order to predict performance. The neural network approach...

... production logging shear rate surfactant flow behavior index generalized reynolds number micelle prediction correlation reduction concentration drilling fluid property drilling fluid formulation concentration increase drilling fluid chemistry drilling fluids and materials drag...

...1 PAPER 2008-030 Prediction of Gas Condensate Properties by a New Equation of State M. NIKOOKAR IOR Research Institute, National Iranian Oil Company G.R. PAZUKI Malek Ashtar University of Technology L. SAHRANAVARD IOR Research Institute, National Iranian Oil Company This paper is accepted...

... of iron, calcium, magnesium and sodium are of greater interest than silica itself. Scaling by such silicates is usually predictable by means of computer programs that rely on free energy minimizations. Where instabilities for scaling are predicted in this way, often a large range of potential mineral...

... Abstract An analytical model to estimate the cumulative steam/oil ratio of SAGD or other steam-based bitumen recovery processes is presented. Model predictions are compared with both numerical and field cases. Cyclic steam processes are interpreted as unsteady-state SAGD recovery, which can...

... of these gases are therefore strongly dependent on operating characteristics of individual projects, primarily the steam pressure. The potential need for sulphur recovery plants in the larger SAGD project expansions creates the need for first order predictions of H 2 S production rates, so that appropriate...

... sand well logging composition athabasca bitumen bitumen log analysis water mass prediction water parameter spectra montmorillonite kaolinite prediction upstream oil & gas mass prediction synthetic sample accuracy complex reservoir nmr spectra spectrum brine illite relaxation...

... design prediction oil saturation enhanced recovery interaction machine learning upstream oil & gas sagd performance information maximum npv reservoir simulation 1 PAPER 2006-126 Prediction of SAGD Performance Using Response Surface Correlations Developed by Experimental Design Techniques...

... are established through timeconsuming experimental means or using models or correlations available in the literature. However, one must recognize that such models or correlations to predict CO 2 -oil physical properties are valid usually for certain data ranges or sitespecific conditions. Furthermore...

...1 PAPER 2006-047 Drillpipe Eccentricity Prediction During Drilling Directional Wells S.K. ELSAYED SALEM, M.A. NASR EL-DIN Suez Canal University This paper is to be presented at the Petroleum Society s 7th Canadian International Petroleum Conference (57th Annual Technical Meeting), Calgary, Alberta...

... artificial intelligence inclination liquid superficial velocity multiphase flow standard deviation correlation coefficient production logging correlation prediction phd dissertation machine learning two-phase flow brill production control neural network model mukherjee liquid...

... Abstract A new numerical model has been developed for investigation of sand production under realistic reservoir/well flow conditions. The model allows prediction of critical drawdown leading to the onset of sanding as well as the rate of sand production in real time. The model predictions...

... of complexity and uncertainty on top of the existing effects of geological, completion, and production factors. Surveillance and prediction of responses caused by injected fluids, in fields with dozens of patterns and hundreds of wells, calls for computer based systems that estimate responses based...

... approach to estimate the impact of degradation on petroleum and to help reliably predict biodegradation risk at the prospect level. Our geochemical approach can be used to locate sweet- spots (areas of less degraded oil), optimize the placement of new wells and completion intervals and help with production...