Extracting Maximum Petrophysical and Geological Information from a Limited Reservoir Database
Maqsood Ali, Adwait Chawathé, Ahmed Ouenes, Martha Cather, William Weiss, 1999. "Extracting Maximum Petrophysical and Geological Information from a Limited Reservoir Database", Reservoir Characterization—Recent Advances, Richard A. Schatzinger, John F. Jordan
Download citation file:
The characterization of old fields lacking sufficient core and log data is a challenging task. This paper describes a methodology that uses both new and conventional tools to build a reliable reservoir model for the Sulimar Queen field. At the fine scale, permeability measured on a fine grid with a minipermeameter was used in conjunction with the pétrographie data collected on multiple thin sections. The use of regression analysis and a newly developed fuzzy logic algorithm led to the identification of key pétrographie elements that control permeability. At the log scale, old gamma ray logs were first rescaled/calibrated throughout the entire field for consistency and reliability using only four modern logs. Using data from one cored well and the rescaled gamma ray logs, correlations among core porosity, permeability, total water content, and gamma ray were developed to complete the small-scale characterization. At the reservoir scale, outcrop data and the rescaled gamma logs were used to define the reservoir structure over an area of 10 mi2 (26 km2) where only 36 wells were available. Given the structure, the rescaled gamma ray logs were used to build the reservoir volume by identifying the flow units and their continuity. Finally, history-matching results constrained to the primary production were used to estimate the dynamic reservoir properties, such as relative permeabilities, to complete the characterization. The obtained reservoir model was tested by forecasting the waterflood performance and was in good agreement with the actual performance.