High-Resolution Mineralogy Modeling- A Case Study in the Vaca Muerta Formation, Neuquén Basin, Argentina
- Hao Zhang (Baker Hughes, a GE Company) | Nora Alarcon (Baker Hughes, a GE Company) | Guillermo Crespo (Baker Hughes, a GE Company) | Diego Licitra (YPF) | Carlos Fernandez (Chevron LC YPF)
- 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
- 7 in the last 30 days
- 115 since 2007
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Accurate mineralogy modeling and interpretation for thinly bedded formations often requires high-resolution data, usually measured in the laboratory from core samples. However, core measurements are expensive and available only from a limited number of wells in a field. On the other hand, high-resolution logging tools are not sufficient to provide a comprehensive mineralogy characterization. Because other types of logging data are also available from many wells, a high-resolution mineralogy analysis combining low-resolution and high-resolution logging data becomes very attractive.
This study focuses on solving for high-resolution on mineralogical compositions of the formation combining pulsed-neutron spectroscopy measurements, image logs, and other conventional log responses. A workflow has been developed with the following major steps:
- Extract lithology volumetric models from high-resolution image logs combined with other conventional logs;
- Allocate the modeled mineralogical compositions from lower-resolution geochemical logs into mineral compositions for various lithology types;
- Obtain a high-resolution mineral model;
- Perform a quality check by comparing the computed results with core measurements.
To demonstrate the method’s feasibility and applicability, the proposed workflow was used on a Vaca Muerta log example from the Loma Campana field, which has dramatic variations in mineralogy composition. The processing showed very promising results with the computed high-resolution mineral model matching the core data. This result indicates the proposed method could reproduce the mineral composition with a full vertical variability in a thin-bedded formation that would only be available with extensive core measurements.
The approach presented here can offer an integrated, high-resolution formation evaluation for key petrophysical properties, such as formation composition, permeability, porosity, and geomechanical properties. The method provides a great advantage over conventional log interpretation by revealing the full vertical variability of a formation that would otherwise appear insensitive for thin layers with limited resolution and compromised accuracy. The promising results generated from this study demonstrate the feasibility of an integrated core-level petrophysical analysis in a cost-effective and timely manner compared to conventional core measurements.
|File Size||3 MB||Number of Pages||16|