Petrophysical Data Analytics for Reservoir Characterization

This chapter presents an overview of petrophysical analysis, mainly from the viewpoint of data analytics. Petrophysical analysis is critical in a reservoir study because it provides a primary source of input data for integrated reservoir characterization and resource evaluation. Wireline logging provides various recordings of subsurface formation properties and well logs are the main sources for petrophysical analysis. Logging records are first used for single-well evaluations and then extended to fieldwide resource evaluation and reservoir modeling.

Logging technology has grown exponentially since the first electrical log was recorded in 1927. Modern log suites include gamma ray (GR), spontaneous potential (SP), density, neutron, sonic, nuclear magnetic resonance (NMR), photoelectric factor (PEF), and various resistivity logs. These data are used to evaluate rock properties, including porosity, fluid saturation, permeability, mineral compositions, and lithofacies (see Appendix 9.1).

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1. Schlumberger, Denver, CO, USA Y. Z. Ma

1. Y. Z. Ma

Appendix 9.1: Common Well Logs, and Related Petrophysical and Geological Properties

Appendix 9.1: Common Well Logs, and Related Petrophysical and Geological Properties

A variety of logging records are now commonly acquired for both conventional and unconventional formation evaluation. They are used to evaluate lithological and petrophysical properties, shown in Table 9.3.

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Ma, Y.Z. (2019). Petrophysical Data Analytics for Reservoir Characterization. In: Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling. Springer, Cham. https://doi.org/10.1007/978-3-030-17860-4_9

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