Correlation of Spectral Noise and Open-Hole Micro Resistivity Imaging Data


Correlation of Spectral
Noise and Open-Hole
Micro Resistivity Imaging Data

Nowadays, some of our clients deal with carbonate reservoirs that are known to contain considerable hydrocarbon reserves. However, there are challenges that complicate oil recovery from them. Among those challenges we may encounter are low porosity and a high degree of fracturing and heterogeneity, which together can result in a low oil recovery factor (ORF).

The development of carbonate fields cannot be optimised without preliminary reservoir studies focused on the assessment of their production potential, including analysis of complex pore structures and local systems of faults and fractures that can serve as both fluid reservoirs and flow channels.

The logging techniques that are used solely to estimate reservoir productivity, such as High Precision Temperature Logging or spinner surveys, may have a limited scope of application. The integrated use of the Formation MicroImager (FMI) and Spectral Noise Logging (SNL) Tool has considerably improved this situation.

TGT has recently published an SPE paper, Integrated Formation MicroImager (FMI) and Spectral Noise Logging (SNL) for the study of fracturing in carbonate reservoirs (SPE-177616-MS), describing some comparisons and integration of these data for one of the Middle East fields, and presented it at the ADIPEC 2015 conference.


Figure A5-3D overview showing correlation of SND wide-frequency signal with FMI data in the depth interval X229-X254 m of the Production Well P-1/ Measured Depth in meters is laid off vertically and frequency from 0.1 to 30 kHz horizontally.

The paper shows that Spectral Noise Logging data correlate well with FMI data obtained from fracturing analysis. Spectral Noise Logging distinctly outlined active fracture flow zones that were then identified by High-Precision Temperature Logging. The advantages offered by the joint application of the SNL and FMI techniques for studying carbonate reservoirs have been clearly demonstrated. This approach can be successfully used to study both natural and induced fractures.

For further information on this and other TGT technologies, please do not hesitate to contact us.

November, 2015