Identification of gas and light oil reservoirs with logs in carbonate reservoirs

Abstract

The objective of this master's project is to develop an algorithm that may have the potential to solve one of the challenges ADNOC encountered to identify gas and light oil reservoirs with logs. In this regard, an algorithm of wavelet energy spectrum analysis (WESA) has been extended to combine conventional logs with simulated nuclear magnetic resonance (NMR) logs. Laboratory NMR tests and time domain analysis (TDA) are performed on the reservoir rock samples from the target fields to validate and refine this method. The modified WESA method has shown good potential in identifying reservoir zones. It's found that oil reservoirs are sensitive to scale 5 and 6 and water zones are sensitive to scale 7. Forward NMR simulation results for TDA method indicate that the amplitude of the differential porosity is influenced by polarization time and T1 characteristics of fluids, signal noise ratio (SNR), formation porosity, hydrocarbon saturation, hydrogen index (HI) and polarization equation. Combining these two methods may be of the potential to improve the ability to identify light oil and gas and hence lead to a better reservoir evaluation and development.

Date of Award	2015
Original language	American English
Supervisor	Guo Tao (Supervisor)