PSI - Issue 6

I. Bazyrov et al. / Procedia Structural Integrity 6 (2017) 228–235 Bazyrov ILdar et al// Structural Integrity Procedia 00 (2017) 000–000

235

8

The well-candidates selection is determined by surrounding reservoir conditions. Simulation results proved that the main factors influencing stress reorientation are low pore pressure on the production well, high pore pressure on the injection well, stress anisotropy and formation thickness. The mentioned above simulation results showed that reservoir conditions near the well-candidate A were more favorable for fracture reorientation, and it allowed to cover an additional productive zone of about 100-150 m vs. 20-80 meters near the well-candidate B. Alteration of pore pressure has a complex influence on a reservoir system. Besides fracture reorientation effect, it has influence on tectonic dislocation (natural fractures and faults) in the terms of faults permeability. Using the fracture reactivation approach 4D geomechanical model allows to predict additional production. There are validation tools which allow to compare the results of 4D geomechanical modelling with real hydraulic fracturing crack geometry: geophysical well logging before and after hydrofracturing (microimages and microscanners that estimate the orientation of the main stresses in the wellbore zone), radioactive proppant technology and surface micro-seismic monitoring. The field data and micro-seismic observation are among the most informative methods for determining the parameters of fracture zones that arise during hydro fracturing. Evaluation of the hydraulic fracturing crack reorientation requires high accuracy from micro-seismic monitoring in order to determine the exact point of fracture initiation and its orientation. The main problems that arise in the process of micro-seismic monitoring are related to the quality control of the performed work. The difference in algorithms of data processing and the lack of information on measuring the limitations of the imaging technique often lead to a low reliability of the results. References 1. Lukin S.V., Esipov S.V., Zhukov V.V. el al., Borehole stability prediction to avoid drilling failures (In Russ.), Neftyanoe khozyaystvo, Oil Industry, 2016, no.6, pp.70-73 2. Ovcharenko Yu.V., Lukin S.V., Tatur O.A., Kalinin o.Yu., Kolesnikov D.S., Esipov S.V., Zhukov V.V., Demin V.Yu., Volokitin Ya., Sedned A., Podberezhnyy M., Experience in 3D geomechanichal modeling, based on one of the West Siberia oilfield (In Russ.), SPE 182031, 2016 3. Dubinya N., Lukin S., Chebyshev I. Two-Way Coupled Geomechanical Analysis of Naturally Fractured Oil Reservoir’s Behavior Using Finite Element Method, SPE 176631, 2015, 16p. 4. Lukin S.V., Zhigulskiy S.V., Ovcharenko Yu.V., Challenges for high-performance computing, Oil&Gas Joirnal, 2017, № 5, pp 38-42. 5. Biot M.A. General theory of three dimensional consolidation // Journal of Applied Physics. –– 1941. –– Vol. 12, no. 2. –– P. 155–164. 6. Geertsma J. The Effect of Fluid Pressure Decline on Volumetric Changes of Porous Rocks // Journal of Petroleum Technology. –– 1957. –– Vol. 210. –– P. 331–340. 7. Aziz K., Settari A. Petroleum reservoir simulation. –– London : Applied Science Publishers Ltd., 1979. –– P. 476. 8. Pavlov V., Korelskiy E., Butula K, Kluybin A., Maximov D., Zinovyev A., Zadvornov D., Grachev O. 2016. 4D Geomechnical Model Creation for Estimation of Field Development Effect on Hydraulic Fracture Geometry. SPE-182020-MS. 9. Economidies M., Olini R., Valko P. 2007. Unified Fracture Design Bridging the Gap Between Theory and Practice. M.: Institute of Computer Science. 10. Salimov V.G., Ibragimov N.G., Nasybullin A.N., Salimov O.V. Hydraulic fracturing of carbonate formations. – Moscow, Oil Industry, 2013. – P.472. 11. Zoback M.D., 2007. Reservoir Geomechanics: Earth Stress and Rock Mechanics Applied to Exploration, Production and Wellbore Stability - Cambridge Press – P. 449. 12. Terzaghi, K. 1943. Theoretical Soil Mechanics, John Wiley and Sons, NewYork. 13. Maxwell S. Microseismic Imaging of Hydraulic Fracturing: Improved Engineering of Unconventional Shale Reservoirs. – USA: Society of Exploration Geophysicists, 2014. – P. 199. 14. Khasanov M.M., Bulgakova G.T. Nonlinear and nonequilibrium effects in the rheologically complex media. - Moscow-Izhevsk. Institute of Computer Science, 2003 – P. 288. 15. Mirzadzhanzade A.Kh., Khasanov M.M., Bakhtizin R.N. Modelling of oil and gas production processes. Non-linearity, non-equilibrium, uncertainty. - Moscow-Izhevsk. Institute of Computer Science, 2005 – P. 368.