Published December 12, 2024 | Version v1

Development of one-dimensional and three-dimensional geomechanical modeling of reservoir rock in oil fields

  • 1. ROR icon Petroleum University of Technology

Description

The geomechanical model as a solid foundation can be the basis of a major part of upstream oil studies and a new low-risk drilling approach, along with a high efficiency factor and reducing damage to reservoirs. The use of stress directions in oil fields is essential for solving engineering and geological problems. The direction and magnitude of the larger horizontal stress are effective in creating and directing tensile fractures in the wellbore. Today, in the oil industry, when forecasting programs for drilling operations are written, attention should be paid to rock mechanics issues in the category of wellbore stability and the selection of appropriate mud weight, because a lack of attention will cost money and time. In order to avoid these problems, rock mechanic forecasts must be used. In this research, it has been tried to first build a one- and three-dimensional geomechanical model, then discuss and investigate the stability of the wellbore. Geo log and Excel software have been used to interpret drilling logs and extract modules, as well as to build a one-dimensional geomechanical model. Petrophysical values, dynamic modules, and pore pressure have been obtained by interpreting the caliper, sonic, density, gamma ray, and DSI logs available for four wells located in the Maroun field. Using experimental relationships, the values of petrophysical and rock mechanical parameters such as porosity, vertical stress, horizontal stress, pore pressure, static elasticity moduli, Poisson's coefficient, stickiness, and internal friction angle have been calculated. The output of one-dimensional models in Geo log and Excel software is used as the input data for Petrel software to build a three-dimensional static model. In this software, the geostatistical methods of successive Gaussian simulation and Gaussian random function simulation were used to build a 3-D model. To calibrate the results obtained from the analysis of the stability and collapse of the 3D model wall, the caliper log was used, which has a good match with the 3-D model. By comparing the results of the wall collapse investigation using calipers with the results of the geo mechanical model built for well stability analysis, it can be seen that this model responds well to 3D. Analysis of well stability and whether it can be matched It is acceptable. In the model, it shows relatively deep collapse in the upper part and scattered collapse in the middle part.

Files

Development of one.pdf

Files (140.8 kB)

Name Size Download all
md5:3e65574675e11e2b652aacefefdcf773
140.8 kB Preview Download

Additional details

References

  • Watching rocks change-mechanical earth modeling Ali A.H. , Brown T. , Delgado R. ,... Stone T.W. , Stouffer T. Oilfield ReviewOpen source preview, 2003
  • Geomechanical wellbore stability modeling of exploratory wells-study case at middle Magdalena Basin Carvajal-Jiménez J.M. , Lara L.C.V. , Rueda A. , Trujillo N.F.S. Ctyf Ciencia Tecnologia Y FuturoOpen source preview, 2007 DOI: 10.29047/01225383.477
  • Empirical relations between rock strength and physical properties in sedimentary rocks Chang C. , Zoback M.D. , Khaksar A. Journal of Petroleum Science and EngineeringOpen source preview, 2006 DOI: 10.1016/j.petrol.2006.01.003
  • New surface equipment for underbalanced drilling Cuthbertson R.L.,Vozniak J.,Kinder J.
  • Graphical method predicts geopressures worldwide Eaton B.A.
  • Petroleum related rock mechanics Fjaer E. , Holt R.M. , Horsrud P. , Raaen A.M. , Risnes R.
  • Initiation pressure and corresponding initiation mode of drilling induced fracture in pressure depleted reservoir Gao Q. DOI: 10.1115/1.4040753
  • Practical application of failure criteria in determining safe mud weight windows in drilling operations Gholami R. , Moradzadeh A. , Rasouli V. , Hanachi J. Journal of Rock Mechanics and Geotechnical EngineeringOpen source preview, 2014 DOI: 10.1016/j.jrmge.2013.11.002
  • Value of 3D geomechanical modeling in field development-a new approach using geostatistics Holland M. , Brudy M. , van der Zee W.E. , Perumalla S.V. , Finkbeiner T.
  • Wellbore stability analysis and breakout pressure prediction in vertical and deviated boreholes using failure criteria—a case study Mansourizadeh M. , Jamshidian M. , Bazargan P. , Mohammadzadeh O. Journal of Petroleum Science and EngineeringOpen source preview, 2016 DOI: 10.1016/j.petrol.2016.06.024
  • The mechanical earth model concept and its application to high-risk well construction projects Plumb R.
  • Qiuguo L (2013) 3D geomechanical modeling, wellbore stability analysis improve field's performance. World Oil, October, pp 53–61
  • The influence of perturbed stresses near faults on drilling strategy: a case study in Blacktip field, North Australia Rasouli V. , Pallikathekathil Z.J. , Mawuli E. Journal of Petroleum Science and EngineeringOpen source preview, 2011 DOI: 10.1016/j.petrol.2010.12.003
  • Determination of rock strength using advanced sonic log interpretation techniques Sayers C.M. , Russell C. , Pelorosso M. ,... Tagbor K. , Hooyman P.J. DOI: 10.2118/124161-ms
  • Fracture toughness of sandstones and shales Senseny P.E. , Pfeifle T.W.
  • Geomechanical assessments of a sandstone reservoir using 3D pre-stack seismic and wellbore data Taras Y. , Riahi M.A. Journal of African Earth SciencesOpen source preview, 2023 DOI: 10.1016/j.jafrearsci.2023.104847
  • 3D geo-cellular modeling for Oligocene reservoirs: a marginal field in offshore Vietnam Vo Thanh H.V. , Lee K.K. Journal of Petroleum Exploration and Production TechnologyOpen source preview, 2022 DOI: 10.1007/s13202-021-01300-4
  • Impact of a new geological modelling method on the enhancement of the CO2 storage assessment of E sequence of Nam Vang field, offshore Vietnam Vo Thanh H.V. , Sugai Y. , Sasaki K. Energy Sources Part A Recovery Utilization and Environmental EffectsOpen source preview, 2020 DOI: 10.1080/15567036.2019.1604865
  • Ensemble machine learning assisted reservoir characterization using field production data—an offshore field case study Wang B. , Sharma J. , Chen J. , Persaud P. EnergiesOpen source preview, 2021 DOI: 10.3390/en14041052
  • M.D. Zoback Reservoir geomechanics 2010 Cambridge Cambridge University Press