Skip to main content
Log in

Investigation and prediction of pore type system by integrating velocity deviation log, petrographic data and mercury injection capillary pressure curves in the Fahliyan Formation, the Persian Gulf Basin

  • Original Article
  • Published:
Carbonates and Evaporites Aims and scope Submit manuscript

Abstract

Detecting and understanding the pore types and pore geometries as two crucial attributes of the porous media based on geophysical logs is an essential step in reservoir properties mapping. The Fahliyan Formation is considered as one of the prolific carbonate reservoir3s in the Persian Gulf. In this study, the velocity deviation log and the capillary pressure curves were employed as an efficient way for the quantitative estimation of pore system properties of the Fahliyan Formation. Based on the petrographic studies and velocity log calculations, the Fahliyan Formation is characterized by negative velocity deviations (interconnected pores & vugs), zero deviations (intercrystalline and micropores) and positive velocity deviations (isolated or moldic pores). Integration of petrographic data with velocity deviation log led to the identification of five pore facies (PFs) or hydraulic flow units (HFU), with reservoir quality being increased from PF1 to PF5. Finally, 3D model of pore types and pore facies distribution was prepared by quantifying the well log-derived pore types and their validation with the core data. The results indicate that the reservoir quality of the Fahliyan Formation was affected by the sedimentary and diagenetic processes, but in general, diagenesis has a more significant contribution in developing complex pore types and determining reservoir quality. The best rock types are about the touching vugs and interparticle pores. Based on the velocity deviation log and petrographic analyses, the Fahliyan Formation is divided into the best reservoir unit (equivalent to Manifa), the main reservoir unit (equivalent to middle Yamama), and the low reservoir quality unit (equivalent to upper Yamama).

Graphical Abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

Data availability

All data used to carry out this research will be shared upon reasonable request.

Abbreviations

FZI:

Flow zone indicator

\(H\) :

Height above free water level

HFU:

Hydraulic flow units

Kh:

Cumulative flow capacity

MICP:

Mercury injection capillary pressure

\(P_{c}\) :

Capillary pressure

\(Pc_{ob}\) :

Oil–brine capillary pressure

\(Pc_{aHg}\) :

Air–mercury capillary pressure

PF:

Pore facies

PMR:

Normalized porosity

PRTs:

Petrophysical rock types

PTSD:

Pore throat size distribution

PTS:

Pore throat sorting

\(\varphi h\) :

Cumulative storage capacity

RRTs:

Reservoir rock types

RQI:

Reservoir quality Indicator

SGS:

Sequential Gaussian Simulation

SIS:

Sequential Indicator Simulation

SMLP:

Stratigraphic Modified Lorenz Plot

References

  • Ahr WM (2011) Geology of carbonate reservoirs: the identification, description and characterization of hydrocarbon reservoirs in carbonate rocks. Wiley, Hoboken

    Google Scholar 

  • Aliakbardoust E, Rahimpour-Bonab H (2013) Effects of pore geometry and rock properties on water saturation of a carbonate reservoir. J Petrol Sci Eng 112:296–309

    Article  Google Scholar 

  • Amaefule JO et al (1993) Enhanced reservoir description: using core and log data to identify hydraulic (flow) units and predict permeability in uncored intervals/wells. SPE annual technical conference and exhibition, Houston, October 1993, pp 205–220

  • Anselmetti FS, Eberli GP (1993) Controls on sonic velocity in carbonates. Pure Appl Geophys 141:287–323

    Article  Google Scholar 

  • Anselmetti FS, Eberli GP (1999) The velocity-deviation log: a tool to predict pore type and permeability trends in carbonate drill holes from sonic and porosity or density logs. AAPG Bull 83:450–466

    Google Scholar 

  • Assefa S, McCann C, Sothcott J (2003) Velocities of compressional and shear waves in limestones. Geophys Prospect 51:1–13

    Article  Google Scholar 

  • Bordenave ML, Hegre JA (2010) Current distribution of oil and gas fields in the Zagros Fold Belt of Iran and contiguous offshore as the result of the petroleum systems. In: Leturmy P, Robin C (eds) Tectonic and stratigraphic evolution of zagros and makran during the mesozoiccenozoic. Geological Society of London Special Publications, London, pp 291–353 (330(1))

    Google Scholar 

  • Chehrazi A, Rezaee R, Rahimpour H (2011) Pore-facies as a tool for incorporation of small-scale dynamic information in integrated reservoir studies. J Geophys Eng 8:202–224

    Article  Google Scholar 

  • Choquette PW, Pray LC (1970) Geologic nomenclature and classification of porosity in sedimentary carbonates. AAPG Bull 54:207–250

    Google Scholar 

  • Dunham RJ (1962) Classification of carbonate rocks according to depositional texture. In: Ham WE (ed) Classification of carbonate rocks. American Association of Petroleum Geologists Memoir, Tulsa, pp 108–121

    Google Scholar 

  • Ebanks Jr W (1987) Flow unit concept-integrated approach to reservoir description for engineering projects. AAPG (Am. Assoc. Pet. Geol.) Bull. (United States) 71

  • Fitch P, Davies S, Lovell M, Pritchard T (2013) The petrophysical link between reservoir quality and heterogeneity: application of the Lorenz coefficient. In “SPWLA 54th Annual Logging Symposium”. Society of Petrophysicists and Well-Log Analysts

  • Flügel E (2004) Microfacies of carbonate rocks: analysis interpretation and application. Springer-Verlag, Berlin

    Book  Google Scholar 

  • Flugel E, Munnecke A (2010) Microfacies of carbonate rocks, analysis, interpretation and application. Springer-Verlag, New York

    Book  Google Scholar 

  • Ghazban F (2007) Petroleum Geology of the Persian Gulf. Teharn University and National Iranian Oil Company, Teran, p 707

    Google Scholar 

  • Gomes JS, Ribeiro MT, Strohmenger CJ, Naghban S, Kalam MZ (2008) Carbonate reservoir rock typing-the link between geology and SCAL. In “Abu Dhabi International Petroleum Exhibition and Conference”. Society of Petroleum Engineers

  • Gunter G, Finneran J, Hartmann D, Miller J (1997) Early determination of reservoir flow units using an integrated petrophysical method. In “SPE Annual Technical Conference and Exhibition”. Society of Petroleum Engineers

  • Gunter G, Spain D, Viro E, Thomas J, Potter G, Williams J (2014) Winland pore throat prediction method—a proper retrospect: new examples from carbonates and complex systems: presented at the SPWLA 55th Annual Logging Symposium

  • Hearn C, Ebanks W Jr, Tye R, Ranganathan V (1984) Geological factors influencing reservoir performance of the Hartzog Draw Field, Wyoming. J Petrol Technol 36:1335–1344

    Article  Google Scholar 

  • Hollis C (2011) Diagenetic controls on reservoir properties of carbonate successions within the Albian-Turonian of the Arabian Plate. Pet Geosci 17:223–241

    Article  Google Scholar 

  • Hosseini S, Conrad MA, Carras N, Kindler P (2014) Mizzia zagarthica sp. nov., a Late Berriasian-Early Valanginian dasycladalean alga from the Fahliyan Formation in the Zagros fold-thrust belt, SW Iran Re-assessment on the genus Mizzia. Facies 60(2):501–514

    Article  Google Scholar 

  • Hosseini M, Tavakoli V, Nazemi M (2018) The effect of heterogeneity on NMR derived capillary pressure curves, case study of Dariyan tight carbonate reservoir in the central Persian Gulf. J Petrol Sci Eng 171:1113–1122

    Article  Google Scholar 

  • Hosseinzadeh S, Kadkhodaie A, Mossadegh H, Kadkhodaie-Ilkhchi R (2019) Pore throat size characterization of carbonate reservoirs by integrating core data, well logs and seismic attributes. J Geopersia 9(2):395–410

    Google Scholar 

  • Jafarzadeh N, Kadkhodaie A, Janahmad B, Kadkhodaie R, Karimi M (2019) Identification of electrical and petrophysical rock types based on core and well logs: utilizing the results to delineate prolific zones in deep water sandy packages from the Shah Deniz gas field in the south Caspian Sea basin. J Nat Gas Sci Eng 69:102923

    Article  Google Scholar 

  • James NP, Jones B (2015) Origin of carbonate rocks. Wiley, New York

    Google Scholar 

  • Kadkhodaie A, Rezaee R, Kadkhodaie-Ilkhchi R (2019b) An effective approach to generate drainage representative capillary pressure and relative permeability curves in the framework of reservoir electrofacies. J Petrol Sci Eng 176:1082–1094

    Article  Google Scholar 

  • Kadkhodaie-Ilkhchi R, Rezaee R, Moussavi-Harami R, Friis H, Kadkhodaie-Ilkhchi A (2014) An integrated rock typing approach for unraveling the reservoir heterogeneity of tight sands in the whicher range field of Perth basin, western Australia. Open J Geol 4(8):373–385

    Article  Google Scholar 

  • Kadkhodaie-Ilkhchi R, Kadkhodaie A, Rezaee R, Mehdipour V (2019) Unraveling the reservoir heterogeneity of the tight gas sandstones using the porosity conditioned facies modeling in the Whicher Range field, Perth Basin, Western Australia. J Petrol Sci Eng 176:97–115

    Article  Google Scholar 

  • Kadkhodaie-Ilkhchi R, Kadkhodaie A, Rezaee R (2021) Study of pore system properties of tight gas sandstones based on analysis of the seismically derived velocity deviation log: a case study from the Perth Basin of western Australia. J Petrol Sci Eng 196:108077

    Article  Google Scholar 

  • Kolodzie Jr S (1980) Analysis of pore throat size and use of the Waxman–Smits equation to determine OOIP in Spindle Field, Colorado. In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers. pp. 21–24

  • Konyuhov AI, Maleki B (2006) The Persian Gulf Basin: geological history, sedimentary formations, and petroleum potential. Lithol Min Resour 41(4):344–361

    Article  Google Scholar 

  • Leverett M (1941) Capillary behavior in porous solids. Trans AIME 142:152–169

    Article  Google Scholar 

  • Liu H, Tian Z, Liu B, Guo R, Yang D, Deng Y, Yu Y, Shi K (2018) Pore types, origins and control on reservoir heterogeneity of carbonate rocks in Middle Cretaceous Mishrif Formation of the West Qurna oilfield, Iraq. J Petrol Sci Eng 171:1338–1349

    Article  Google Scholar 

  • Lucia FJ (2007) Carbonate reservoir characterization: an integrated approach. Springer Science & Business Media, New York

    Google Scholar 

  • Motiei H (1993) Stratigraphy of Zagros. In: Hushmandzadeh A (ed) Treatise on the Geology of Iran. Geological Survey of Iran, Tehran

    Google Scholar 

  • Murris RJ (1980) Middle East: stratigraphic evolution and oil habitat. Am Asso Petrol Geol Bull 64:597–618

    Google Scholar 

  • Purcell W (1949) Capillary pressures-their measurement using mercury and the calculation of permeability therefrom. J Petrol Technol 1:39–48

    Article  Google Scholar 

  • Ronchi P, Ortenzi A, Borromeo O, Claps M, Zempolich WG (2010) Depositional setting and diagenetic processes and their impact on the reservoir quality in the late Visean-Bashkirian Kashagan carbonate platform (Pre-Caspian Basin, Kazakhstan). AAPG Bull 94:1313–1348

    Article  Google Scholar 

  • Rustichelli A, Tondi E, Agosta F, Di Celma C, Giorgioni M (2013) Sedimentologic and diagenetic controls on pore-network characteristics of Oligocene-Miocene ramp carbonates (Majella Mountain, central Italy) Sedimentologic and Diagenetic Controls on Pore-Network Characteristics. AAPG Bull 97:487–524

    Article  Google Scholar 

  • Sabeai JA, Lavenu AP (2017) Investigation of the impact of diagenesis on reservoir quality in carbonate reservoir: a case study. In “SPE Reservoir Characterisation and Simulation Conference and Exhibition”. Society of Petroleum Engineers

  • Sadeghi R, Moussavi-Harami R, Kadkhodaie A, Mahboubi A, Kadkhodaie R, Ashtari A (2021) Integration of 3D seismic attributes and well logs for Asmari reservoir characterization in the Ramshir oilfield, the Dezful Embayment SW Iran. J Geopersia 11(1):1–21

    Google Scholar 

  • Setudehnia A (1978) The Mesozoic sequence in southwest Iran and adjacent areas. J Pet Geol 1:829–843

    Article  Google Scholar 

  • Skalinski M, Kenter J, Jenkins S (2009) Rock type definition and pore type classification of a carbonate platform, Tengiz Field, Republic of Kazakhstan. In “SPWLA 50th Annual Logging Symposium”. Society of Petrophysicists and Well-Log Analysts

  • Su Y, Zha M, Ding X, Qu J, Wang X, Yang C, Iglauer S (2018) Pore type and pore size distribution of tight reservoirs in the Permian Lucaogou Formation of the Jimsar Sag, Junggar Basin, NW China. Mar Pet Geol 89:761–774

    Article  Google Scholar 

  • Sun Y, Berteussen K, Vega S, Eberli GP, Baechle G, Weger R, Massaferro J, Gartner GB, Wagner P (2006) Effects of pore structure on 4D seismic signals in carbonate reservoirs. In: SEG technical program expanded abstracts 2006. Society of Exploration Geophysicists, pp 3260–3264

  • Swanson B (1981) A simple correlation between permeabilities and mercury capillary pressures. J Petrol Technol 33:2498–2504

    Article  Google Scholar 

  • Wang H, Sun SZ, Yang H, Gao H, Xiao Y, Hu H (2011) The influence of pore structure on P- & S-wave velocities in complex carbonate reservoirs with secondary storage space. Pet Sci 8:394–405

    Article  Google Scholar 

  • Washburn EW (1921) Note on a method of determining the distribution of pore sizes in a porous material. Proc Natl Acad Sci USA 7:115

    Article  Google Scholar 

  • Winland H (1972) Oil accumulation in response to pore size changes, Weyburn field, Saskatchewan. Amoco Production Company report F72-G-25 (unpublished), Tulsa, OK 20.

  • Wu K, Katz D, Skalinski M, Salazar-Tio R (2013) Investigation of the impact of diagenesis on the petrophysical properties in the complex porosity systems in carbonates. In “SPWLA 54th Annual Logging Symposium”. Society of Petrophysicists and Well-Log Analysts

  • Wyllie MRJ, Gregory AR, Gardner LW (1956) Elastic wave velocities in heterogeneous and porous media. Geophysics 21:41–70

    Article  Google Scholar 

  • Xu C, Torres-Verdín C (2013) Pore system characterization and petrophysical rock classification using a bimodal Gaussian density function. Math Geosci 45:753–771

    Article  Google Scholar 

Download references

Acknowledgements

Iranian Offshore Oil Company (IOOC) is acknowledged for data preparation and their cooperation in conducting this research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohammad Derafshi.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Derafshi, M., Kadkhodaie, A., Rahimpour-Bonab, H. et al. Investigation and prediction of pore type system by integrating velocity deviation log, petrographic data and mercury injection capillary pressure curves in the Fahliyan Formation, the Persian Gulf Basin. Carbonates Evaporites 38, 22 (2023). https://doi.org/10.1007/s13146-022-00837-7

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s13146-022-00837-7

Keywords

Navigation