Wireline formation microelectrical imaging has been used for many decades to characterize reservoirs. The geological interpretation of image data is mainly used for structural analysis, fracture characterization, porosity analysis, heterogeneity analysis, rock typing, and facies classification. In addition, formation microelectrical images are commonly needed for complex reservoirs to help with the selection of wireline formation tester straddle packer locations. The quality of the data acquired using conventional formation microelectrical imaging tools may be degraded in highly resistive formations even with conductive mud because of the high noise-to-signal ratio, which can lead to fuzzy images with very few geological features visible. Phase shift, which is common in resistive formations, can result in reversed images, reversed contrast, and pad/flap mismatch, which can render the data unusable. A new tool for microelectrical imaging presents a solution to this problem by obtaining high-definition, full-coverage images in formations with moderate to high resistivity. This new technology was applied in a complex carbonate tight gas reservoir drilled with water-based mud (WBM). Conventional formation microelectrical imager data suffered from a huge phase shift, low quality, and low-resolution, with very few geological features visible. The high-definition formation microelectrical imaging resulted in much better data quality, which enabled the identification of the different geological features. The data obtained from standard and the high-definition formation imaging are presented and compared. Use of the high-definition data enabled positioning the wireline formation tester at the optimal zones. The new selected stations enabled proper fluid identification where pressures and samples were obtained. In addition, reservoir permeability data were obtained using pressure transient analysis. Pressure transient interpretation of the straddle-packer data corresponded well with the geological features observed from the high-definition images. Introduction The wells discussed in this paper are located offshore Qatar. The reservoir formations were deposited on a vast restricted evaporated carbonate shelf with a very gentle dip towards the northeast into slightly deeper water. The structure comprises several stacked carbonate reservoirs. Several tight layers separating the reservoirs form efficient intra-formational seals defining individual reservoir /seal pairs. The vertical stacking patterns of these individual facies have defined complex and heterogeneous internal reservoir architecture. The heterogeneity exists throughout all reservoirs with some fair to poor properties. The reservoirs mainly consist of limestone and dolomite. The general top seal for the reservoirs is dense dolomite, thick anhydrite and some shale. Intraformational seals between the individual reservoir layers are considered likely. The deeper reservoir consists of tight, slightly argillaceous dolomite and occasional inter-bedded anhydrite. The pressure measurement and fluid sampling during openhole operation was a challenge due to the tightness of reservoirs. It was difficult to identify permeable sections based on openhole log data alone. Because of the low permeability, the pressure points suffered from some supercharging. The reservoir zones would have been deemed tight. Also data quality from standard formation microelectrical imaging suffered from phase shift, resulting in fuzzy images with very few visible geologic features. In addition to previous problems, severe hole ovality was also observed in some intervals.
Carbonate reservoirs often contain a complex mixture of pore sizes. In Bul Hanine field, Arab-DIII reservoir is almost entirely microporous throughout the field. Microporosity affects log responses and fluid flow properties. Proper identification and quantification of different porosity classes and their influence on the petrophysical parameters is crucial to accurately calculate hydrocarbon saturation. This paper presents the results of a multi-disciplinary workflow employed to identify and quantify the different porosity classes in the Arab-D reservoir.The workflow consists of core-and log-based analysis. The core-based analysis includes laser scanning confocal microscopy of thin sections from different reservoir facies, analysis of mercury injection data, and 3D pore network modeling. Confocal microscopy (0.25 micron resolution) quantified microporosity that cannot be seen or assessed through conventional petrography, while 3D pore network modeling helped evaluate the effect of the microporosity on the electrical parameters of the different reservoir facies. The log-based analysis includes analysis of Nuclear Magnetic Resonance logs (NMR) through spectral decomposition, interpretation of borehole images to evaluate the effects of diagenesis on the different reservoir facies, and other standard logs.Confocal microscopy demonstrated that pores smaller than 10 microns in diameter (micropores) in wackestone to packstone facies commonly comprise almost 100% of the total porosity. Burrowed, heterogeneous packstones and wackestones have 38 to 95% microporosity. Accurate quantification of microporosity from core using confocal microscopy permitted the computation of a continuous microporosity log using primarily NMR spectral decomposition and alternatively borehole images when NMR data is not available. After image to core calibration, rock fabric analysis using borehole images identified different bioturbation intensities with variable burrow sizes and varying burrow infill textures. Permeability enhancement can develop when burrowing architectures are well developed and filled with more permeable sediment, but diagenesis can also alter the porosity and permeability. The evaluation of electrical properties yielded insights into more effective rock property parameters, indicating that water saturation in these microporous networks may be lower than previously calculated. Pore network modeling showed that the microporosity fraction influences Archie's saturation exponent (ЉnЉ). By including a variable ЉnЉ value, weighted by the fraction of microporosity, water saturation computations can be reduced by 20%, therefore increasing volumetric and original oil in place.This workflow provides an innovative technique to characterize different porosity classes in heterogeneous carbonate reservoirs and quantify its impact on reservoir properties. It also provides a novel technique to calculate water saturation after correcting the effects of the microporosity presence in the different reservoir facies. This technique can be used...
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