The workflow consists of the following steps: The following workflow and processing is suggested to interrogate, process, interpret and model the petrophysical properties of a typical Arab D carbonate reservoir using Clerke’s Arab D Rosetta Stone Carbonate database as calibration. For this Arab D reservoir, most PRTs have a dual-porosity system, and some PRTs have up to 3 pore systems. From these results (primarily from Pd) Clerke defined his Petrophysical Rock Types (PRT). For each sample Clerke acquired High Pressure Mercury Injection (HPMI) data, and then fit the HPMI capillary pressure curve using the Thomeer hyperbola (see Altair Plot of Capillary Pressure curves) created from the Initial Displacement Pressure (Pdi), Pc curvature term Gi that relates to the variability of pore throats and Bulk Volume Occupied (BVocci) that is related to the Pore Volume for each pore system 'i'. The Rosetta Stone data cover the full range in poro-perm space and Petrophysical Rock Types (PRTs) observed in the Arab D reservoir. Clerke randomly selected the final calibration samples from 1,000’s of initial core plugs for the final dataset. This is a very special carbonate dataset. We are using Ed Clerke’s Rosetta Stone, Arab-D carbonate dataset from Ghawar field in Saudi Arabia as the calibration data. Typically, this static model would then be used to initialize the dynamic model for reservoir simulation. The final objective would be to use these results to create a 3D static model of porosity, permeability, Petrophysical Rock Types (PRT), capillary pressure parameters and saturations. In this example we are showing the results for just one well, but in the full-field reservoir characterization we would follow the same workflow and apply the same process to all wells in the field. This example will serve as the basis for a full-field reservoir characterization for all wells throughout the entire field. This repository has one well to use with our workflow to interrogate and characterize this typical Arab D carbonate reservoir. Permeability, Petrophysical Rock Types (PRT), Capillary Pressure and modeled saturations are all estimated or calculated within this workflow in order to characterize this complex carbonate reservoirs, and Clerke’s (2) Arab D Rosetta Stone core analysis database is used as the calibration data. (1) used in the characterization of most Arab D reservoirs in Saudi Arabia. This repository contains 4 python Jupyter Notebooks to use as help files for our Geolog Carbonate Reservoir Characterization Workflow to demonstrate a tried and proven workflow employing the techniques as described by Phillips et al. INSTALL NOTE: Please delete any previous installations and re-install this repositiry in full and keep the intire project together in one subirectory since there are relative paths. This also has the FWL Search routine too. New Scipy Optimization for Lithology including Illite Clay. Carbonate Reservoir Characterization workflow using Clerke’s carbonate Arab D Rosetta Stone calibration data to provide for a full pore system characterization with modeled saturations using Thomeer Capillary Pressure parameters for an Arab D complex carbonate reservoir.
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