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Quantitative Assessment of Rock Mechanical Properties on Formation Pressure in Deepwater Niger Delta

Timi Ibuchi Olawuyi Boniface A. Oriji Emeka E. Okoro

Subject area: Science,Engineering and Technology  ·  Area of research: Drilling Engineering

DOI: 10.64388/IREV9I6-1712706

Abstract

The relationship between deformative rock mechanical properties (Young modulus, shear modus, bulk modulus, and Poisson ratio) and pore pressure in Deepwater Niger Delta with the aim of improving pore pressure predictions was explored. The nature of trends existing between these properties and pore pressure was observed, and a sensitivity analysis to measure the strength of the relationship existing between these properties and pore pressure was performed. Furthermore, an XGBoost model was developed to predict pore pressure using the rock mechanical properties. This was compared with models of Eaton, Bowers, and Millers and showed superior performance with evaluation metrics with a percentage absolute average deviation of 5.43% and a mean absolute error of 253.95. This was followed by Eaton?s model with a percentage absolute average deviation of 39.36% and a mean absolute error of 1696.25. Bowers? model had a percentage absolute average deviation of 43.65% and a mean absolute error of 1719.66. Miller?s model had a percentage absolute average deviation of 72.40% and a mean absolute error of 2726.68. This study significantly advanced the understanding of how rock mechanical properties relates with pore pressure in Deepwater Niger Delta and developed a more efficient pore pressure prediction model using rock mechanical properties.

Keywords

Rock mechanical properties, Deepwater, Pore Pressure Prediction, Niger Delta

References

[1] Xu, Y., Yang, L., Xu, J., Han, C., Pinyaeva, T., Nie, J., Wang, Y., & Li, F. (2024). Prediction method for formation pore pressure based on transfer learning. Geoenergy Science and Engineering, 236, Article 212747.

[2] Muhamad Zaidi M. N., Tan C.P., Amir Rashidi M.R., Amir Kashim M.Z., and Md Shah S. (2025). Rock Mechanics Insights for CO2 Sequestration: Assessing CO2 Degradation Effects on Rock Mechanical Properties. Paper presented at the SPE Asia Pacific CCUS Conference, Kuala Lumpur, Malaysia, August 2025. Paper Number: SPE-225900-MS

[3] Whyte P., Igwe I., Dune K., and Kinate B. (2025). The Effect of Fluid Saturation on the Geo-Mechanical Properties of Reservoir Rock. Paper presented at the SPE Nigeria Annual International Conference and Exhibition, Lagos, Nigeria, August 2025. Paper Number: SPE-228689-MS

[4] Muhammad Nurudeen Mashin, Muhammad Amin Saril, and Hareyani Zabidi (2024). Investigating the Relationship Between Failure Patterns and Mechanical Properties of Rock. Journal of Physics Conference Series, 2907(1):012026

[5] Adati, Ayuba Kadafa (2012). Oil Exploration and Spillage in the Niger Delta of Nigeria. Civil and Environmental Research. Vol 2, No.3.

[6] OpeOluwani Akintayo (2019). Nigerian oil and gas projects to come on stream in the next 2 years. Sweet Crude Reports. (https://sweetcrudereports.com/nigerian-oil-and-gas-projects-to-come-on-stream-in-the-next-2-years/). Published June 8, 2019. Accessed April 2, 2024.

[7] Yuqiang Xu, Lei Yang, Jiaxing Xu, Chao Han, Tatiana Pinyaeva, Jiajun Nie, Yucong Wang, Fuxiang Li (2024). Prediction method for formation pore pressure based on transfer learning. Geoenergy Science and Engineering 236 (2024) 212747

[8] Eaton, B.A (1975). The equation for Geopressure prediction from well logs. Society of Petroleum Engineers No. 5544,11p

[9] Bowers, G. L. (1995). Pore pressure estimation from velocity data: Accounting for overpressure mechanisms besides undercompaction. SPE Drilling & Completion, 10(02), 89–95.

[10] Mavko, G., Mukerji, T., and Dvorkin, J. (2009).

[11] Zoback, M. D. (2007). Reservoir Geomechanics. Cambridge University Press.

[12] Sayers, C. M. (2010). Geophysics under stress: Geomechanical applications of seismic and borehole acoustic waves. SEG Distinguished Instructor Series.

[13] Zhang, Jincai (2011). Pore pressure prediction from well logs: methods, modifications, 2 and new approaches. Earth Science Reviews 108 (2011) 50-63.

[14] Swarbrick, R. E., and Osborne, M. J. (1998). Mechanisms that generate abnormal pressures: An overview. In R. E. Swarbrick & M. J. Osborne (Eds.), Abnormal Pressures in Hydrocarbon Environments (Vol. 70, pp. 13–34). AAPG Memoir.

How to cite this paper

Timi Ibuchi Olawuyi, Boniface A. Oriji, Emeka E. Okoro "Quantitative Assessment of Rock Mechanical Properties on Formation Pressure in Deepwater Niger Delta" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 897-906 https://doi.org/10.64388/IREV9I6-1712706
Timi Ibuchi Olawuyi, Boniface A. Oriji, Emeka E. Okoro "Quantitative Assessment of Rock Mechanical Properties on Formation Pressure in Deepwater Niger Delta" Iconic Research And Engineering Journals, vol. 9, no. 6, Dec. 2025, doi: https://doi.org/10.64388/IREV9I6-1712706
Timi Ibuchi Olawuyi, Boniface A. Oriji, Emeka E. Okoro (2025). Quantitative Assessment of Rock Mechanical Properties on Formation Pressure in Deepwater Niger Delta. Iconic Research And Engineering Journals, 9(6). doi: https://doi.org/10.64388/IREV9I6-1712706
Timi Ibuchi Olawuyi, Boniface A. Oriji, Emeka E. Okoro "Quantitative Assessment of Rock Mechanical Properties on Formation Pressure in Deepwater Niger Delta" Iconic Research And Engineering Journals, vol. 9, no. 6, Dec. 2025. Crossref, https://doi.org/10.64388/IREV9I6-1712706
@article{1712706,
      author = {Timi Ibuchi Olawuyi, Boniface A. Oriji, Emeka E. Okoro},
      title = {Quantitative Assessment of Rock Mechanical Properties on Formation Pressure in Deepwater Niger Delta},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {6},
      pages = {897-906},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1712706.pdf},
      abstract = {The relationship between deformative rock mechanical properties (Young modulus, shear modus, bulk modulus, and Poisson ratio) and pore pressure in Deepwater Niger Delta with the aim of improving pore pressure predictions was explored. The nature of trends existing between these properties and pore pressure was observed, and a sensitivity analysis to measure the strength of the relationship existing between these properties and pore pressure was performed. Furthermore, an XGBoost model was developed to predict pore pressure using the rock mechanical properties. This was compared with models of Eaton, Bowers, and Millers and showed superior performance with evaluation metrics with a percentage absolute average deviation of 5.43% and a mean absolute error of 253.95. This was followed by Eaton?s model with a percentage absolute average deviation of 39.36% and a mean absolute error of 1696.25. Bowers? model had a percentage absolute average deviation of 43.65% and a mean absolute error of 1719.66. Miller?s model had a percentage absolute average deviation of 72.40% and a mean absolute error of 2726.68. This study significantly advanced the understanding of how rock mechanical properties relates with pore pressure in Deepwater Niger Delta and developed a more efficient pore pressure prediction model using rock mechanical properties.},
      keywords = {Rock mechanical properties, Deepwater, Pore Pressure Prediction, Niger Delta},
      month = {December},
      doi = {https://doi.org/10.64388/IREV9I6-1712706}
  }