NMR Measurement of Porosity and Density from Drill Cuttings of Unconventional Tight Reservoirs
- Stacey M. Althaus (Aramco Services Company) | Jin-Hong Chen (Aramco Services Company) | Jilin Zhang (Aramco Services Company)
- Document ID
- Society of Petrophysicists and Well-Log Analysts
- SPWLA 60th Annual Logging Symposium, 15-19 June, The Woodlands, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2019. held jointly by the Society of Petrophysicists and Well Log Analysts (SPWLA) and the submitting authors
- 2 in the last 30 days
- 222 since 2007
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Petrophysical data, essential for reservoir description and modeling, are obtained by expensive laboratory core measurements and/or well-log measurements. Due to the high cost, these tests are typically only carried out for a limited number of wells in the exploration phase. In contrast, drill cuttings are available for all the wells and thus can provide reservoir data throughout all the phases of the field development. A nuclear magnetic resonance (NMR) based method was developed to accurately determine petrophysical properties including porosity, bulk density, and matrix density from drill cuttings of unconventional tight reservoirs. NMR technology allows for the separation of liquid signals from within and between the shale cutting particles and when used in combination with Archimedes-based mass measurements provides accurate porosity and density data for both vertical and horizontal wells. The results from the NMR cutting analysis were in good agreement with other accepted lab measurement techniques having reproducibility well within 5%. We show the measured porosity and density from the cuttings changes significantly along a tested horizontal well, which is a strong indication of horizontal heterogeneity of the reservoir. The results may be used to guide selection of certain stages for hydraulic fracturing. This method can be easily adapted at the wellsite to evaluate reservoir heterogeneity and select zones with large porosity for optimized fracturing. Obtaining accurate petrophysical data from drill cuttings can provide quasi-real-time data for quick formation assessment for the wellsite engineers and cut costs by reducing or eliminating some expensive and inadequate formation evaluation tools.
Mud logging has been steadily gaining interest as a way to evaluate a reservoir (Egermann et al., 2002; Kesserwan et al., 2017; Mirotchnik et al., 2004; Siddiqui et al., 2005; Vocke et al., 2018) because it is less expensive than traditional logging or coring, and can provide more rapid results than lab analysis on cored samples. Some of these petrophysical parameters, such as density and porosity, are important for determination of resources in place and rock typing. If these measurements are done at the well site, the data may be used to assist in landing the well in the correct zone.
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