Investigation of fractures and in situ stresses using Formation Micro Imaging (FMI) in south-western Iranian hydrocarbon field


1 Faculty of New Sciences and Technologies, Department of Petroleum Engineering, Semnan University

2 Geophysics Branch of the Geology Department, National Iranian South Oil Company, Iran


Identification Tiny Wall Effects Has Always Been Important for Oil Engineers, as These Are Useful Tools for Regional Tectonic Studies and Have a Significant Impact on Oil/Gas and Reservoir Quality. In Fractured Zones, Good Information Can Be Obtained Directly and Indirectly Using Seismic Information, Petrophysical Logs, Wellhead Experiments, Drilling Mud History and Core Description. In This Research, Using the FMI Diagram in Geolog Software, Different Types of Open and Closed Fractures, Layering Boundary, Fault and Stylolite and Borehole Breakouts were identified and Their Properties were discussed. 1829 Open Fractures Were Detected by Detecting the FMI Dynamic Image in the Study Well, Most of Which Lack Continuity and Opening for Identification. 69 Closed Fractures were identified. In this study, 430 Boundary layers were read, most of which were detected at high confidence interval. Two Potential Faults were identified at the Study Intervals, Both of Which Caused Dip Changes and Abrupt Texture Changes. The Stylolite Identified in the Study Well Were 12 Total, Most of Them Having Short Amplitude and Parallel Stratification. Based on the interpretations made to determine in situ stresses at different depths of the breakouts wells, 140 fractures were identified. The breakouts, which indicate the direction of least stress (σh), are along the NW-SE and are consistent with the usual Zagros trend. In addition, 128 inductive fractures were detected in the studied well. This type, which indicates maximum horizontal stress (σH), was along the NW-SE as wells.


Abtahi, T., 2008. Introducing a Sefidzakhor Field - Dehram Reservoir, Internal Report 2 p.
Ahmadi, M., 2006. Use of Micrologs and Electrical Borehole Images for Fracture Detection, Natural Buttes Field, Uinta Basin, Utah, p. 204.
Ameen, M.S., 2003. Fracture and In-Situ Stress Characterization of Hydrocarbon Reservoirs: Definitions and Introduction. Geological Society Special Publication 209, 1–6.
Arzani, A., 2007. Structural analysis of Ahwaz oil field with a special focus on its fractures, Report 1, 249p.
Ezati, M., Azizzadeh, M., Riahi, M.A., Fattahpour, V., Honarmand, J., 2018. Characterization of Micro-Fractures in Carbonate Sarvak Reservoir, Using Petrophysical and Geological Data, SW Iran. Journal of Petroleum Science and Engineering 170, 675–95.
Heidbach, O., Barth, A., Muller, B., Reinecker, J., Stephansson, O., Tingay, M., Zang, A., 2016. Scientific Technical Report 16-01 WSM Quality Ranking Scheme, Database Description and Analysis Guidelines for Stress Indicator.
Khoshbakht, F., Rasaie, M.R., Shekarifard, A., 2016. Investigating Induction Log Response in the Presence of Natural Fractures. Journal of Petroleum Science and Engineering 145, 357–69.
Luthi, S.M., 2001. Marine and Petroleum Geology Geological Well Logs Their Use in Reservoir Modeling.
Najafi, M., Yassaghi, A., Verges, J., Bahroudi, A., Sherkati, B., 2013. Three-dimensional structural analysis of Sefidzakhor anticline in Fars area to determine the geometry of the permo-trias gas reservoir. Advanced Applied Geology 3(4)10-18
Pöppelreiter, M., García-Carballido, C., Kraaijveld, M., 2010. Dipmeter and Borehole Image Log Technology. AAPG Memoir 92, 357.
Schlumberger, 2002. Borehole Geology, Geomechanics and 3D Reservoir Modeling Brochure. Current, p. 1–12.
Schwartz, B.C., 2006. Fracture Pattern Characterization of the Tensleep Formation, Teapot Dome, Wyoming.
Suau, J., 1980. Fracture Detection From Well Logs, Schlumberger Inland Services , The Log Analyst 21(02), 3–13.
Tokhmchi, B., Memarian, H., Rezaee, M.R., 2010. Estimation of the Fracture Density in Fractured Zones Using Petrophysical Logs. Journal of Petroleum Science and Engineering 72(1–2), 206–13.
Yidirim, A., 2014. Subsurface fracture anaylysis using FMI logs: implications for regional state of stress prediction in the black warior basin, Alabama, 65-561.
Yosefi, B., Emami Meybodi, S.M.R., Sharahi, S.Y., Sedaghatnia, M., 2019. The pattern and effect of Stylolites and Stylomotels in permeability and micro porosity of carbonate rocks. Applied Sedimentology 7, 97-108.
Zoback, M.L., 1992. First-and Second-Order Patterns of Stress in the Lithosphere: The World Stress Map Project. Journal of Geophysical Research 97(B8): 11703–11728.