It is well-known that petroleum fluid properties (also known as Pressure-Temperature-Volume -PVT) is needed for many petroleum engineering and other interdisciplinary engineering applications. Especially in recent years, multi-disciplinary acquisition of such data and its use became more and more important as seamless and efficient integration became a necessity. Fluid properties for every step of the value chain are extremely important for project evaluation, safety and decision making along with geological and geophysical information. One of the key points about the reservoir fluids is that once the fluids enter the wellbore, all the geologic complexities and rocks will be left behind. Therefore, the focus will be more on fluid compositions and properties and how they are linked and behave within the source (reservoir) to create the maximum value. During this process, fluids are the only desired subsurface elements (with an attached commercial unit pricing) that change hands from one discipline to another discipline. Parallel to this fluids/fluid properties are evaluated for relevant applications and also used in different software applications while they move from reservoir to the wellbore and facilities and all the way to the refineries then to the sales. Therefore, there is always special focus in terms of capturing their needed properties for various applications. Along the way, we face various needs and challenges. Such needs span a wide spectrum of applications, from property valuations, health safety and environment, and all the way from reservoir to well and facilities performance de-risking and management. In this study, we focus on current state-of-the-art in this area and what the current and forward-looking advancements are while highlighting various elements of the progress. In addition, lifecycle management of the fluids and the associated information extracted with modern techniques will be included in this study. Particular attention was given to new developments in terms of hardware, sensors and miniaturization, along with numerical techniques in terms of new/coupled physics and as well as data analytics, molecular simulation, and advanced computational methods.
- Equation of State (EOS)
- Machine Learning - PVT
- PVT - pressure volume and temperature
- PVT New Developments
- PVT State of the art
ASJC Scopus subject areas
- Energy Engineering and Power Technology