Prediction of Relative Permeability from Resistivity Index and Capillary Pressure Data.

Autor: Sbiga, Hassan M., Elmabrouk, Saber, Mahmud, Walid Mohamed
Předmět:
Zdroj: Proceedings of the International Conference on Industrial Engineering & Operations Management; 3/6/2018, p1-10, 10p
Abstrakt: Relative permeability data are used to predict the most effective hydrocarbon displacement mechanisms in a reservoir and how to deplete most of the oil or gas out of the reservoir as quickly and cheaply as possible. Determination of capillary pressure and relative permeability are traditionally conducted in laboratory. However it is expensive, difficult, and time-consuming to measure capillary pressure and relative permeability in many cases. Models representing such relationships show that capillary pressure and relative permeability could be inferred from resistivity data using analytical mathematical models derived theoretically. In fact two parameters out three (capillary pressure, relative permeability or resistivity) could be inferred using these models if only one of the parameters is known. In this paper, laboratory measurements of resistivity index, capillary pressure with different techniques, and relative permeability were conducted on samples from two fields representing Libyan sandstone and carbonate reservoirs in order to review analytical mathematical models correlating resistivity index, capillary pressure and relative permeability. The results of relative permeability calculated using these models are analyzed and compared with data obtained from laboratory experiments. This paper shows that the three flow distribution functions, resistivity index, capillary pressure and relative permeability and also shows that relative permeability can be calculated from experimental data of both resistivity index and capillary pressure. Good matching between relative permeabilities calculated from models and with experimental data. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index