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Special Core Analysis
- Event Code
Jos G. Maas
To predict oil and gas field performance, reservoir engineers need to feed their models, be it an analytical tool or a reservoir simulator, with basic reservoir data. These will comprise initial saturation distributions and flow parameters. The measurement of single phase properties is addressed by routine core analysis, while the measurement for two- and three-phase properties such as imbibition and drainage relative permeabilities, capillary pressures and resistivity (I-Sw) is addressed by Special Core Analysis (SCAL).
The preparation of a SCAL measurement program is ideally a multi-disciplinary effort. This SCAL course will prepare reservoir engineers, petrophysicists, geologists and other E&P professionals to design a SCAL program, select a service provider, coach the execution of the program if and when required, manage data quality and do state-of-the-art data interpretation. Particularly for design and data interpretation use can be made of a dedicated, license free, SCAL flow simulator.
The course is highly interactive with an abundance of exercises, both with dedicated Excel spread sheets and with the SCAL simulator. No simulation experience is required to use the simulator.
The material presented in this course refers to many field examples that the instructor has worked on himself in his 33 years of service with Shell in various positions, including Manager of Shell SCAL R&D.
- Understand the business impact of Special Core Analysis (SCAL) measurements
- Understand the various measurement techniques for SCAL
- Awareness of the limitations of each measurement technique, both from theory and for the laboratory equipment perspective
- Design a SCAL measurement program with the right business impact
- How to select the right SCAL service provider
- Understand the value of interpretation of SCAL experiments by simulation of the experiments
- Hands-on experience running the SCORES SCAL simulator
- Guide a core analysis service provider into delivery of high quality data
- Quality assessment of SCAL reporting