What is it about?

The passage discusses the use of advanced borehole imaging tools like FMI/FMS in Iran to locate structural features and interpret sedimentary environments in oil reservoirs. These tools, especially when coupled with software like Geoframe, offer significant advantages over traditional methods for reservoir characterization. They enable geologists and petrophysicists to better understand the complexities and heterogeneity of oil reservoirs, especially in bitumen reservoirs where predicting continuity is challenging. The textural differences in these reservoirs greatly impact their production potential, and the advanced imaging helps identify variations in permeability and porosity. Specifically, in a well studied, the comparison of image logs revealed high formation resistivity in porous layers and fracture zones, particularly in dolomite formations.

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Why is it important?

The use of borehole imaging tools like FMI/FMS in Iran has revolutionized how major structural features in oil reservoirs, such as faults and fractures, are located and analyzed. Compared to traditional methods, these tools offer distinct advantages for reservoir characterization, aiding petrophysicists and geologists in credible assessments. The ability to predict index permeability through image logging, which provides orientation and dip data, stands out as a significant advantage. However, bitumen reservoirs exhibit considerable heterogeneity, posing challenges in predicting reservoir continuity. This textural variation strongly influences reservoir production by significantly varying permeability. Traditional approaches often struggle to accurately extrapolate small-scale heterogeneity from cores and conventional logs to uncured wells due to their limited vertical resolution and averaging nature. In one specific case, comparing image log average resistivity highlighted high formation resistivity (dolomite) in porous layers and fracture zones.


In Iran, the use of advanced borehole imaging tools like FMI/FMS has transformed how major structural features and sedimentary environments in oil reservoirs are pinpointed, providing significant advantages over conventional methods for reservoir characterization. This technology, coupled with sophisticated software like Geoframe, enables petrophysicists and geologists to conduct thorough and reliable characterizations in oil fields. A key benefit of image logging is its capability to predict index permeability by incorporating orientation and dip data, enhancing the accuracy of reservoir assessments. However, bitumen reservoirs exhibit substantial heterogeneity across all dimensions, making it challenging to predict reservoir continuity. This textural diversity significantly influences reservoir production by causing extreme variations in permeability. Conventional approaches, which rely on cores and averaged responses from conventional logs over a few meters, struggle to accurately project small-scale heterogeneity into uncured wells due to limited vertical resolution. In a specific case, a comparison revealed that image log average resistivity highlighted particularly high formation resistivity (dolomite) in porous layers and fracture zones within a well.

Dr Zohreh Movahed

Read the Original

This page is a summary of: The Effect of Tar on the Petrophysical Analysis of FMI in Asmari Fractured Reservoir, January 2015, Springer Science + Business Media,
DOI: 10.1007/978-981-287-368-2_22.
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