Modeling and Monitoring the Development of an Oil Field under Conditions of Mass Hydraulic Fracturing

Authors

  • Hofmann Miel Department of Petroleum Engineering, Mining Institute, SPB, Russia
  • Al-Obaidi Sudad Hameed Department of Petroleum Engineering, Mining Institute, SPB, Russia
  • Khalaf Falah Hussein Department of Petroleum Engineering, Knowledge University, Erbil, Iraq

DOI:

https://doi.org/10.48048/tis.2022.3436

Keywords:

Hydraulic fracturing (HF), Reservoir simulation, Hydrodynamic simulator, Geological and technological modeling, Bottomehole pressure

Abstract

In order to ensure the most complete recovery of hydrocarbons and to minimize costs in the production process, it is necessary to control the development of an oil field, even during production, through various geological and technological measures. In terms of the volume of additional oil extracted through the implementation of geological and technological measures, hydraulic fracturing (HF) operations occupy the top positions.

This paper describes a modified method for accounting for hydraulic fractures in a geological and technological model of a hydrocarbon field. The method makes it possible to perform all calculations related to the modeling of fractures in the pre-processing phase and to use its results as input data for the hydrodynamic simulator. An example of the calculation on a real development object is given. The analysis of the results showed the correctness of this method. The geological and hydrodynamic model provided a satisfactory reproduction of the development history for the oil field under study. The predicted flow rates and bottomhole pressures of the wells were close to the actual values. The error in annual oil and fluid rates is no greater than 3 %. The results of the calculations can serve as indirect confirmation of the hypothesis of spontaneous growth of hydraulic fracturing cracks in injection wells. In fact, by increasing the half-length of the hydraulic fractures in the injection wells in the model to 250 m, the discrepancy between the calculated and actual bottomhole pressures was reduced to fractions of a percent. The half-length of the fracture was 70 - 140 m and the half-opening was 1.2 - 2.5 mm. The average permeability of the proppant package in the crack is 220 d. The calculated skin factor for the design wells according to proposed model was −4.58.

HIGHLIGHTS

  • Various geological and technological measures are taken to control the development of an oil field, even during production
  • Enhancing oil recovery by accounting for hydraulic fractures in a geological and technological model of a hydrocarbon field
  • Evidence of spontaneous crack growth in injection wells of hydrocarbon fields in indirect confirmation of the hypothesis of hydraulic fracturing


GRAPHICAL ABSTRACT

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

DY Ding, YS Wu and L Jeannin. Efficient simulation of hydraulic fractured wells in unconventional reservoirs. J. Petrol. Sci. Eng. 2014; 122, 631-42.

F Wang, Q Chen and Y Ruan. Hydrodynamic equilibrium simulation and shut-in time optimization for hydraulically fractured shale gas wells. Energies 2020; 13, 961.

H Hoegstoel, J Stoeren, M Sjaastad and G Lindkvist. Modelling of multi-stage hydraulic fractured wells made easy in conventional reservoir simulations. In: Proceedings of the SPE Europec featured at 82nd EAGE Conference and Exhibition. 2020.

WJ Chang, SH Al-Obaidi and AA Patkin. Assessment of the condition of the near-wellbore zone of repaired wells by the skin factor. Int. Res. J. Mod. Eng. Tech. Sci. 2021; 3, 1371-7.

SH Al-Obaidi and FH Khalaf. Development of traditional water flooding to increase oil recovery. Int. J. Sci. Tech. Res. 2019; 8, 177-81.

D Chuprakov, I Bekerov and A Iuldasheva. Productivity of hydraulic fractures with heterogeneous proppant placement and acid etched walls. App. Eng. Sci. 2020; 3, 100018.

D Chuprakov and A Ipatova. A model for elastic fracture closure on heterogeneous distribution of compressible solids and etched walls. Eng. Fract. Mech. 2020; 233, 107071.

H Zhu, YP Zhao, Y Feng, H Wang, L Zhang and JD McLennan. Modelling of fracture width and conductivity in channel fracturing with nonlinear proppant-pillar deformation. SPE J. 2019; 3, 1288-308.

SH Al-Obaidi. Analysis of hydrodynamic methods for enhancing oil recovery. J. Petrol. Eng. Tech. 2021; 6, 20-6.

DS Cheon and TJ Lee. Theoretical background and design of hydraulic fracturing in oil and gas production. Tunnel Underground Space 2013; 23, 538-46.

K Rahman, W He and F Gui. Reservoir simulation with hydraulic fractures: Does it really matter how we model fractures? In: Proceedings of the SPE Asia Pacific Oil & Gas Conference and Exhibition, Adelaide, Australia. 2014.

SH Al-Obaidi and FH Khalaf. Prospects for improving the efficiency of water insulation works in gas wells. Int. Res. J. Mod. Eng. Tech. Sci. 2020; 2, 1382-91.

H Zhuab, J Shena and F Zhangcd. A fracture conductivity model for channel fracturing and its implementation with discrete element method. J. Petrol. Sci. Eng. 2019; 172, 149-61.

I Velikanov, V Isaev, D Bannikov, A Tikhonov, L Semin, L Belyakova and D Kuznetsov. New fracture hydrodynamics and in-situ kinetics model supports comprehensive hydraulic fracture simulation. In: Proceedings of the SPE Europec featured at 80th EAGE Conference and Exhibition, Copenhagen, Denmark. 2018.

CL Cipolla, MJ Williams, X Weng, M Mack and S Maxwell. Hydraulic fracture monitoring to reservoir simulation: Maximizing value. In: Proceedings of the SPE Annual Technical Conference and Exhibition, Florence, Italy. 2010.

RD Kanevskaya. Mathematical modelling of the development of oil and gas fields using hydraulic fracturing. Nedra, Moscow, Russia, 1999, p. 72-80.

RD Kanevskaya. Modeling of hydrocarbon production processes using hydraulic fracturing in multi-well systems. Bull. Russ. Acad. Nat. Sci. 2007; 1, 65-9.

Z Fujian, SU Hang, X Liang, M Leifeng, L Yuan, X Li and T Liang. Integrated hydraulic fracturing techniques to enhance oil recovery from tight rocks. Petrol. Explor. Dev. 2019; 46, 1065-72.

IP Kamensky, SH Al-Obaidi and FH Khalaf. Scale effect in laboratory determination of the properties of complex carbonate reservoirs. Int. Res. J. Mod. Eng. Tech. Sci. 2020; 2, 1-6.

C Zhao, Y Hu, J Zhao, Q Wang, P He, A Liu and P Song. Numerical investigation of hydraulic fracture extension based on the meshless method. Geofluids 2020; 2020, 8881901.

DW Peaceman. Interpretation of well-block pressures in numerical reservoir simulation using nonsquare grid blocks and anisotropic permeability. Soc. Petrol. Eng. J. 1983; 23, 531-43.

SH Al-Obaidi and FH Khalaf. Acoustic logging methods in fractured and porous formations. J. Geol. Geophys. 2017; 6, 1000293.

L Yuyang, L Shiqi and P Mao. Finite element simulation of oil and gas reservoir in situ stress based on a 3D corner-point grid model. Math. Probl. Eng. 2020; 2, 7384085.

T Guo, Z Qu, F Gong and X Wang. Numerical simulation of hydraulic fracture propagation guided by single radial boreholes. Energies 2017; 10, 1680.

RN Fakhretdinov and AV Borovchuk. The licensed territory of the Priobskoye oil field. Oil Ind. 2007; 3, 44-7.

SH Al-Obaidi, FH Khalaf and HH Alwan. Performance analysis of hydrocarbon wells based on the skin zone. Technium 2021; 3, 50-6.

Downloads

Published

2022-03-28

How to Cite

Miel, H. ., Hameed, A.-O. S. ., & Hussein, K. F. . (2022). Modeling and Monitoring the Development of an Oil Field under Conditions of Mass Hydraulic Fracturing. Trends in Sciences, 19(8), 3436. https://doi.org/10.48048/tis.2022.3436