Caracterización estática de rocas por medio de tomografía computarizada de Rayos-X TAC

• Main Author: Victor Alexei Huerta Quiñonez
• Format: Article
• Language: Spanish
• Published: Universidad Industrial de Santander 2015-06-01
• Series: Revista Fuentes El Reventón Energético
• Subjects: Computed tomography; static characterization; Rock properties
• Online Access: https://doi.org/10.18273/revfue.v13n1-2015005
• ISSN: 1657-6527; 2145-8502

The discovery Situche Central Field in Block 64, was a big step in the Petroleum Industry of Peru history, because it is the most important discovered place of light oil in the last 25 years in the Maranon Basin, also the technological challenges like: the drilling deep wells, the handling of reservoirs growers formation pressure and high temperature background, make it a defiance. The characterization of the thermodynamic behavior of hydrocarbons from a reservoir located deep, under high pressure and temperature background, is an extremely important task which requires: verify the stability of the operating conditions during sampling (separator pressure , temperature separator, GOR), verify the representativeness of the samples collected in background and/or in surface, and validate the consistency of the laboratory tests , flash release , differential and testing of separators. After verifying the consistency, the phase diagram is constructed to identify whether the site is high or low shrinkage, and if necessary use a state equation or a set of tables of properties for dynamic modeling. The construction of the phase diagram required to apply the best practices of the industry in terms of the grouping of the heavier components (C7 + ) , considering its high incidence in the thermodynamic behavior in the hydrocarbon mixture; trial and error procedures and numerical regression were defined to achieve the best fit of the prediction equation of state ( EOS ) and in the observations of experiments flash and differential release ; finally, once calibrated the EOS and exported the PVT table, predictions were made in the dynamic numerical simulation model.