This paper presents a new technique to provide a quality controlled correlation of live oil spectroscopic data to the composition and PVT properties of the related petroleum. Fluid analytical data are obtained at the well-site using a high resolution spectrometer in combination with an advanced optical sample tank. This technique is of particular interest, since it analyses spectra from 400 to 2200 nm which covers the whole visible (VIS) and near-infrared (NIR) spectroscopic region for hydrocarbon description. The information contained in spectra is embedded in multiple absorption bands. Principal component analysis (PCA) and multivariate analysis (MVA) are performed on spectral data for correlation to the PVT properties of the petroleum. The reproducibility and repeatability of the analytical procedure will be illustrated on performed lab measurements whereas the benefits of the new technique will be discussed on first field applications from the Middle East.


The accurate determination of crude oil physical and chemical properties is imperative to comprehensive reservoir characterization. In this context, various analytical techniques and data for oil and gas are routinely employed for correlation to physical oil characteristics. In particular, the pressure-volume-temperature (PVT) data for reservoir fluid behavior and properties are an important tool in reservoir performance calculations and the design of various stages of oilfield operations (Ahmed, 2007; Pederson et al., 2015). Understanding the phase behavior of petroleum in a reservoir for achieving optimal design and cost-effective production. Such pressure-volume-temperature (PVT) data for reservoir fluid behavior and properties are determined in certified laboratories on live oil and gas samples. The data are then delivered to the production and field developing companies in turnaround times of several weeks. Obtaining such data for PVT properties already while drilling or just after POOH provides important information on reservoir characteristics, such as compartmentalization, and local compositional variability of oil and gas to the client for early decision making. The provided data are essential for the reservoir and production management to mitigate operation risks, and to maximize production.

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