Skip to main content

Advertisement

Log in

Investigation of geomechanical characteristics in one of the Iranian oilfields by using vertical seismic profile (VSP) data to predict hydraulic fracturing intervals

  • Original Article
  • Published:
Geomechanics and Geophysics for Geo-Energy and Geo-Resources Aims and scope Submit manuscript

Abstract

Geomechanics is a science that studies rock behavior under stress conditions. The major purpose of this study is to use seismic geophysics (Elastic wave) to examine the geomechanical properties of the Fahliyan reservoir zone in one of Iran's oilfields. The amount of compression and shear wave velocity were determined by processing vertical seismic profile (VSP) data to obtain geomechanical parameters from the P-wave and S-wave velocities. First of all, elastic moduli have been calculated. These factors were then empirically translated from dynamic into static modules. The K-Mean clustering approach was employed in this research to cluster geomechanical characteristics and determine geomechanical units. The key criteria for investigating wellbore stability and predicting the safe mud weight window are pore pressure, minimum horizontal stress, maximum horizontal stress, and induced stress from drilling operations. The quantity of uniaxial resistance is another critical parameter calculated by the porosity of the petrophysical logs and empirical equations comparing elasticity modulus and uniaxial stress resistance classification with bit size and caliper log. The drilling safe mud window was defined by applying a minimum and maximum pore pressure. Extensive fractures may occur if drilling fluid pressure predominates over the maximum horizontal stress. The amounts of induced tensions and shear fractures, as well as their locations, were used to identify suitable sections for hydraulic fracturing along the Fahliyan reservoir zone. This method can determine the possible zones for hydraulic fracture with analysis and comparison of VDL and UCS. The current research will benefit the petroleum industry by minimizing the problem of drilling.

Article highlights

  • Geomechanical parameters were obtained from P-wave and S-wave velocities.

  • The K-Mean clustering approach was employed in this research to cluster geomechanical characteristics and determine geomechanical units.

  • Possible zones for hydraulic fracture were determined with analysis and comparison of VDL and UCS.

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
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

Abbreviations

VSP:

Vertical seismic profile

UCS:

Uniaxial compressive strength

VDL:

Velocity deviation log

E:

Young's modulus

σ:

Stress

K:

Bulk modulus

β:

Materials compressibility coefficient

Vs :

Shear wave velocity (m/s)

Vp :

Compressional Wave Velocity (m/s)

ρ:

Density (g/cm3)

G:

Shear modulus (GPA)

ν:

Poison's ratio

Ed:

Dynamic Young modulus

νd :

Dynamic Poison’s ratio

νs :

Static Poison’s ratio

ρb :

Bulk density

ρf:

Formation fluids density

Φ:

Porosity

εx :

Linear integers on the X

εy :

Linear Integers on the Y

α:

Biot constant

δHmin(Shmin):

Minimum horizontal stress

δHmax(SHmax):

Maximium horizontal stress

δv(Sv):

Overburden Stress

\(\delta \) zz :

Tangential induction stress

\(\delta \) rr :

Axial induction stress

\({\delta }_{\theta \theta }\) :

Tangential induction stress

ΔP:

Difference pressure

DITF:

Drilling induced tensional failures

Δx:

Distance between two geophones

ΔT:

First-time arrivals difference

V:

Average interval velocity

References

  • Abdideh M, Moghimzadeh MA (2019) Geomechanical study of gas reservoir rock using vertical seismic profile and petrophysical data (continental shelf in southern Iran). Geomech Geoeng 14(2):118–135

    Article  Google Scholar 

  • Adam L, Batzle M, Brevik I (2006) Gassmann’s fluid substitution and shear modulus variability in carbonates at laboratory seismic and ultrasonic frequencies. Geophysics 71(6):F173–F183

    Article  Google Scholar 

  • Al-Dabagh HH, Alkhafaf S (2011) Comparison of Kρ and λρ in clastic rocks: A test on two wells with different reservoir-quality stacked sands from West Africa. Lead Edge 30(9):986–994

    Article  Google Scholar 

  • Amadei B, Stephansson O (1997) Rock stress and its measurement. Springer, New York

    Book  Google Scholar 

  • Ameen MS, Smart BG, Somerville JM, Hammilton S, Naji NA (2009) Predicting rock mechanical properties of carbonates from wireline logs (A case study: Arab-D reservoir, Ghawar field, Saudi Arabia). Mar Pet Geol 26(4):430–444

    Article  Google Scholar 

  • Bagheri H, Tanha AA, Doulati Ardejani F, Heydari-Tajareh M, Larki E (2021) Geomechanical model and wellbore stability analysis utilizing acoustic impedance and reflection coefficient in a carbonate reservoir. J Pet Explor Prod Technol 11(11):3935–3961

    Article  Google Scholar 

  • Carcione JM, Cavallini F (2002) Poisson’s ratio at high pore pressure. Geophys Prospect 50(1):97–106

    Article  Google Scholar 

  • Carcione JM, Helle HB, Pham NH, Toverud T (2003) Pore pressure estimation in reservoir rocks from seismic reflection data. Geophysics 68(5):1569–1579

    Article  Google Scholar 

  • Castagna JP, Batzle ML, Eastwood RL (1985) Relationships between compressional-wave and shear-wave velocities in clastic silicate rocks. Geophysics 50(4):571–581

    Article  Google Scholar 

  • Chang C, Zoback MD, Khaksar A (2006) Empirical relations between rock strength and physical properties in sedimentary rocks. J Petrol Sci Eng 51(3–4):223–237

    Article  Google Scholar 

  • Darvish H, Nouri-Taleghani M, Shokrollahi A, Tatar A (2015) Geo-mechanical modeling and selection of suitable layer for hydraulic fracturing operation in an oil reservoir (south west of Iran). J Afr Earth Sc 111:409–420

    Article  Google Scholar 

  • Das B, Chatterjee R (2018a) Mapping of pore pressure, in-situ stress and brittleness in unconventional shale reservoir of Krishna-Godavari basin. J Natural Gas Sci Eng 50:74–89

    Article  Google Scholar 

  • Das B, Chatterjee R (2018b) Well log data analysis for lithology and fluid identification in Krishna-Godavari Basin, India. Arab J Geosci 11(10):1–12

    Article  Google Scholar 

  • Fjar E, Holt RM, Raaen A, Horsrud P (2008) Petroleum related rock mechanics. Elsevier

    Google Scholar 

  • Frignet B, Hartog A (2014) Optical vertical seismic profile on wireline cable. In: SPWLA 55th annual logging symposium. Society of petrophysicists and well-log analysts

  • Gassmann F (1951) Uber die elastizitat poroser medien. Vierteljahrsschrift Der Naturforschenden Gesellschaft in Zurich 96:1–23

    MathSciNet  MATH  Google Scholar 

  • Gholami R, Moradzadeh A, Rasouli V, Hanachi J (2014) Practical application of failure criteria in determining safe mud weight windows in drilling operations. J Rock Mech Geotech Eng 6(1):13–25

    Article  Google Scholar 

  • Golubev A, Rabinovich G (1976) Resultaty primeneia appartury akusticeskogo karotasa dlja predeleina proconstych svoistv gornych porod na mestorosdeniaach tverdych isjopaemych. Prikl Geofiz Moskva 73:109–116

    Google Scholar 

  • Gray D et al (2012) Estimation of stress and geomechanical properties using 3D seismic data. First Break 30:3

    Article  Google Scholar 

  • Hamada G (2004) Reservoir fluids identification using Vp/Vs ratio? Oil Gas Sci Technol 59(6):649–654

    Article  Google Scholar 

  • Hongkui G, Yingsong L, Shanzhou M, Lili S (2001) Difference of rock elastic parameters under static and dynamic loading. In: Frontiers of Rock Mechanics and Sustainable Development in the 21st Century. Taylor and Francis, pp 69–71

  • Hoseinpour M, Riahi MA (2021) Determination of the mud weight window, optimum drilling trajectory, and wellbore stability using geomechanical parameters in one of the Iranian hydrocarbon reservoirs. J Pet Explor Prod Technol 12:1–20

    Google Scholar 

  • Jamshidian M, Mansouri Zadeh M, Hadian M, Nekoeian S, Mansouri Zadeh M (2017) Estimation of minimum horizontal stress, geomechanical modeling and hybrid neural network based on conventional well logging data–a case study. Geosyst Eng 20(2):88–103

    Article  Google Scholar 

  • Khoshnevis-zadeh R, Soleimani B, Larki E (2019) Using drilling data to compare geomechanical parameters with porosity (a case study, South Pars gas field, south of Iran). Arab J Geosci 12(20):611

    Article  Google Scholar 

  • Larki E, Tanha AA, Parizad A, Bagheri H (2020) Investigation of quality factor frequency content in vertical seismic profile for gas reservoirs. Pet Res 6(1):57–65

    Google Scholar 

  • Le K, Rasouli V (2012) Determination of safe mud weight windows for drilling deviated wellbores: a case study in the North Perth Basin. WIT Trans Eng Sci 81:83–95

    Article  Google Scholar 

  • Liang H, Chen H, Guo J, Bai J, Jiang Y (2022) Research on lithology identification method based on mechanical specific energy principle and machine learning theory. Expert Syst Appl 189:116142

    Article  Google Scholar 

  • Liu J et al (2022) Quantitative prediction of the drilling azimuth of horizontal wells in fractured tight sandstone based on reservoir geomechanics in the Ordos Basin, central China. Mar Pet Geol 136:105439

    Article  Google Scholar 

  • Mahmoud AA, Elkatatny S, Ali A, Moussa T (2019) Estimation of static young’s modulus for sandstone formation using artificial neural networks. Energies 12(11):2125

    Article  Google Scholar 

  • Molina-Gómez F, da Fonseca AV, Ferreira C, Sousa F, Bulla-Cruz LA (2021) Defining the soil stratigraphy from seismic piezocone data: a clustering approach. Eng Geol 287:106111

    Article  Google Scholar 

  • Motra HB, Stutz HH (2018) Geomechanical rock properties using pressure and temperature dependence of elastic P-and S-wave velocities. Geotech Geol Eng 36(6):3751–3766

    Article  Google Scholar 

  • Motra HB, Zertani S (2018) Influence of loading and heating processes on elastic and geomechanical properties of eclogites and granulites. J Rock Mech Geotech Eng 10(1):127–137

    Article  Google Scholar 

  • Motra H et al (2018) Determining the influence of pressure and temperature on the elastic constants of anisotropic rock samples using ultrasonic wave techniques. J Appl Geophys 159:715–730

    Article  Google Scholar 

  • Nakaten N, Schlüter R, Azzam R, Kempka T (2014) Development of a techno-economic model for dynamic calculation of cost of electricity, energy demand and CO2 emissions of an integrated UCG–CCS process. Energy 66:779–790

    Article  Google Scholar 

  • Queen JH et al (2016) Surface reflection seismic and vertical seismic profile at Brady’s Hot Springs, NV, USA, Proceedings, forty-first workshop on geothermal reservoir engineering. Stanford University, Stanford

    Google Scholar 

  • Ravanshad MS, Soleimani B, Larkee E, Soleimani M (2017) Petrophysical evaluation and reservoir quality of ilam formation (late cretaceous), ahvaz oil field, dezful embayment, SW Iran. Pet Coal 59:2

    Google Scholar 

  • Rutqvist J, Moridis G, Grover T, Collett T (2009) Geomechanical response of permafrost-associated hydrate deposits to depressurization-induced gas production. J Petrol Sci Eng 67(1–2):1–12

    Article  Google Scholar 

  • Rzhevskii VVE, Novik GI, Rzhevsky VVE (1971) The physics of rocks. Publisher not identified

  • Schön JH (2015) Physical properties of rocks: fundamentals and principles of petrophysics. Elsevier, Amsterdam

    Google Scholar 

  • Shadizadeh SR, Habibnia BA, Seylabi R (2009) Investigation and selection of suitable layers in bangestan reservoir for hydraulic fracturing operation

  • Shahbazi K, Zarei AH, Shahbazi A, Tanha AA (2020) Investigation of production depletion rate effect on the near-wellbore stresses in the two Iranian southwest oilfields. Pet Res 5(4):347–361

    Google Scholar 

  • Soleimani B, Rangzan K, Larki E, Shirali K, Soleimani M (2018) Gaseous reservoir horizons determination via Vp/Vs and Q-Factor data, Kangan-Dalan Formations, in one of SW Iranian hydrocarbon fields. Geopersia 8(1):61–76

    Google Scholar 

  • Sword CH (1987) Tomographic determination of interval velocities from reflection seismic data: the method of controlled directional reception. Stanford University, Stanford

    Google Scholar 

  • Wang Z, Wang R (2015) Pore pressure prediction using geophysical methods in carbonate reservoirs: current status, challenges and way ahead. J Natural Gas Sci Eng 27:986–993

    Article  Google Scholar 

  • Yasin Q, Sohail GM, Ding Y, Ismail A, Du Q (2020) Estimation of petrophysical parameters from seismic inversion by combining particle swarm optimization and multilayer linear calculator. Nat Resour Res 29(5):3291–3317

    Article  Google Scholar 

  • Zargar G, Tanha AA, Parizad A, Amouri M, Bagheri H (2020) Reservoir rock properties estimation based on conventional and NMR log data using ANN-Cuckoo: a case study in one of super fields in Iran southwest. Petroleum 6(3):304–310

    Article  Google Scholar 

  • Zertani S et al (2019) Modification of the seismic properties of subducting continental crust by eclogitization and deformation processes. J Geophys Res 124(9):9731–9754

    Article  Google Scholar 

  • Zoback MD (2010) Reservoir geomechanics. Cambridge University Press, Cambridge

    MATH  Google Scholar 

  • Zoback M et al (2003) Determination of stress orientation and magnitude in deep wells. Int J Rock Mech Min Sci 40(7–8):1049–1076

    Article  Google Scholar 

  • Zoback M, Mastin L, Barton C (1986) In-situ stress measurements in deep boreholes using hydraulic fracturing, wellbore breakouts, and stonely wave polarization. In: ISRM International Symposium. International Society for Rock Mechanics and Rock Engineering

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amir Hossein Saeedi Dehaghani.

Ethics declarations

Conflict of interest

All authors have participated in (a) conception and design, or analysis and interpretation of the data; (b) drafting the article or revising it critically for important intellectual content; and (c) approval of the final version. This manuscript has not been submitted to, nor is under review at, another journal or other publishing venue. The authors have no affiliation with any organization with a direct or indirect financial interest in the subject matter discussed in the manuscript. The following authors have affiliations with organizations with direct or indirect financial interest in the subject matter discussed in the manuscript.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Larki, E., Dehaghani, A.H.S. & Tanha, A.A. Investigation of geomechanical characteristics in one of the Iranian oilfields by using vertical seismic profile (VSP) data to predict hydraulic fracturing intervals. Geomech. Geophys. Geo-energ. Geo-resour. 8, 67 (2022). https://doi.org/10.1007/s40948-022-00365-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40948-022-00365-7

Keywords

Navigation