Abstract
This study demonstrates how an integrated geochemical and petrophysical analysis can be used to evaluate the petroleum generation potential of source and reservoir rocks. The Eocene and Palaeocene sequences of the Potwar Basin, located in the upper Indus Basin of Pakistan, were analyzed. Well logs and Schlumberger log interpretation charts were used for the petrophysical analysis of the Chorgali Formation's reservoir potential. Geochemical methods were applied to 34 well-cutting Sakesar and Patala formations samples. Results from Vitrinite Reflectance (VR) (%Ro) and Tmax data suggest that both formations have reached the peak of their oil generation window. The Sakesar Formation has a mean TOC of 1.88 wt. % and HI values of 375 mg HC/g TOC. The Patala Formation has a mean TOC of 3.33 wt.% in well A and HI values ranging from 2.4 to 369 mg HC/g TOC in well B, with a mean TOC of 3.52 wt%. Both formations have mixed Type II/III kerogen. The findings indicate that both the Sakesar and Patala formations possess good oil/gas-generation potential and may act as source rocks in the Potwar Basin. Petrophysical analysis of the Chorgali Formation shows an average porosity of 10.32%, water saturation of 36.14%, and hydrocarbon saturation of 63.85%. This indicates that the Chorgali Formation has an average to good reservoir potential. The research findings will aid exploration and production companies in the Fimkassar Oilfield.
Publisher
Universidad Nacional de Colombia
Subject
General Earth and Planetary Sciences
Reference66 articles.
1. Aadil, N., & Sohail, G. M. (2014). 3D geological modelling of Punjab Platform, Middle Indus Basin Pakistan through Integration of wireline Logs and seismic data. Journal of the Geological Society of India, 83(2), 211-217. doi:10.1007/s12594-014-0033-2.
2. Asif, M., Fazeelat, T., & Grice, K. (2011). Petroleum geochemistry of the Potwar Basin, Pakistan: 1. Oil-oil correlation using biomarkers, δ13C and δD. Organic Geochemistry, 42(10), 1226-1240. DOI:10.1016/j.orggeochem.2011.08.003.
3. Asif, M., Nazir, A., Fazeelat, T., Grice, K., Nasir, S., & Saleem, A. (2011). Applications of polycyclic aromatic hydrocarbons to assess the source and thermal maturity of the crude oils from the Lower Indus Basin, Pakistan. Petroleum Science and Technology, 29(21), 2234-2246. DOI:10.1080/10916461003699226.
4. Bordenave, M. L., Espitalié, J., Leplat, P. O. J. L., Oudin, J. L., & Vandenbroucke, M. (1993). Screening techniques for source rock evaluation. Applied Petroleum Geochemistry, 217-278.
5. Cheng, Y., & Fu, L. (2022). Nonlinear seismic inversion by physics-informed Caianiello convolutional neural networks for overpressure prediction of source rocks in the offshore Xihu depression, East China. Journal of Petroleum Science and Engineering, 215, 110654. DOI:10.1016/j.petrol.2022.110654.