ICDMS
A workflow for Integrated Core Data Modelling System (ICDMS)
ICDMS 4.0 software is expected to be formally released in the first half of 2022.
ICDMS allows for excellent quality checking of commercial laboratory data and subsequent superior modelling of rock types using a modified Hydraulic Flow Zone Unit approach and novel formulations for the prediction of SCAL relationships. Use of the advanced System leads to more informed and better development decisions of petroleum accumulation discoveries. Substantial cost savings are realized from reduced requirements for lab data acquisition. A real game changer is the significant reduction in analysis time due to the intelligent nature of the software.
The software has been designed to quality check routine (RCA) and special (SCAL) laboratory core analysis data. The validated and, when appropriate, corrected data is integrated into a framework of “endpoint” correlations, facilitating prediction to fill data gaps. All necessary core and related data are subsequently prepared for reservoir and petrophysical engineering calculations, and reservoir simulation. SCAL relationships are predicted with universal models for all Hydraulic Flow Zone Units (HFZUs) identified, where the layering also defines optimal formation subdivision for gridding of reservoir simulation models in the bed normal/vertical direction, replacing customary upscaling, now not required.
SPE192109 The Importance of Optimal Choice of Relative Permeability Relationships in Reservoir Simulation
SPE186951 Optimal Zonation of Geological Formations and Identification of Pore Structures for Sandstone Reservoirs, Including variation in Cementation and Fining Sequences
SPE186949 Capillary Pressure Drainage Curves: Modelling and Prediction of Capillary Entry Pressure
SPE182469 Modelling of Drainage Capillary Pressure: A Comparative Study of Various Analytical Capillary Pressure Formulations in Matching Laboratory Results
SPE182457 Modelling of Drainage Capillary Pressure: Using the Modified Carman-Kozeny Purcell Model to Identify the Type of Pore Throat Distribution Inherent in Laboratory Data
IPTC15230 Wettability Quantification: Prediction of Wettability for Australian Formations
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