... nmr echoe artificial intelligence formation evaluation use conventional log training pattern log analysis well logging conventional log data porosity neural network perform formation evaluation use klinkenberg permeability permeability computation upstream oil & gas reservoir...

..., self-adjust, and be trained, provides a powerful tool in solving pattern recognition problems. In the past, others have attempted to use well logs to predict permeability. 1 The problems with previous approaches, however, were two-fold: the limited number of variables (only one variable— porosity...

... 1995 Copyright 1995, Society of Petroleum Engineers interactive visual identification fluid-flow simulation spe computer application upstream oil & gas reservoir boundary simulator reservoir characterization porosity identification information boundary image understanding...

... to digitize and analyze old logs to obtain more accurate reservoir parameters for fields developed from the 1930's to the 1960's before modern logs were available. This paper describes a computer-based method to rescale old GRN and E logs efficiently, then perform shale volume, effective porosity, bulk volume...

.... software permeability porosity upstream oil & gas artificial intelligence modeling & simulation simulation input parameter field data lognormal distribution monte carlo simulation reservoir simulation fundamental principle dependency cumulative distribution function carlo simulation...

... northeast visualization permeability acoustic impedance northwest facies gamma ray response stratigraphic layer dolomite simulation siltstone reflection coefficient reservoir characterization upstream oil & gas modeling porosity flow in porous media study area log analysis reservoir...

... to provide technical information but also to aid in developing the overall program structure. 19 7 1992 8 1 1993 8 1 1993 1 2 1993 1 2 1993 Copyright 1993, Society of Petroleum Engineers fertl flow chart upstream oil & gas procedure porosity shaly sand water...

.... black warrior basin dry fc core-measured gas content methane mining industry cleat porosity sfl response gas content coal coalbed methane bulk density constituent resistivity conductivity porosity methane content upstream oil & gas log analysis reservoir well logging proximate...

... on the Zenith pool, a large, mature oil field in central Kansas, with a Data General MV20000 minicomputer with Surface III™ mapping software and a PC with Surfer™ and spreadsheet software. A step-by-step procedure was developed to generate structure, isopach, and porosity maps for the five main reservoirs...

... model. Each grid cell belongs to a formation and is coupled to the parameters for this formation (e.g., porosity). The grid density is controlled by three parameters: maximum column distance, maximum row distance, and maximum inclination. The maximum-inclination parameter ensures that the more-complex...

... area. After the parameters are refined, the user is ready to process and display the final pass, shown in Fig 7 . Along with the graphical display is a tabular listing that can be built and generated (Fig. 8). Possible outputs from the report include average pay porosity and saturations, pay thickness...