Rock Physics and Geo-Mechanical Analysis to Enhance Sanding Prediction in Oil Wells in “Chi Field” Offshore Niger Delta
Asian Journal of Geological Research,
Page 112-121
Abstract
An integrated approach of rock physics and Geomechanical analyses was adopted in this study to enhance the prediction of sanding in oil wells within ‘CHI’ field offshore Niger Delta.
The data used for this study include suite of wireline logs from three wells, base map and checkshot. concept of geomechanics was used in evaluating and understanding the rock mechanical properties of the reservoirs. Two reservoirs namely (RES1 and RES2) were mapped and interpreted. Elastic and geomechanical parameters were evaluated within the field, the parameters include; Poisson ratio, Young modulus, Bulk modulus, Shear modulus, and Unconfined compressive strength (UCS). The elastic properties of rocks are affected by geological factors which include: Lithology, Depth and Anisotropy. In addition, rock physics analysis was carried out using the friable, constant and contact cement model to quantitatively characterize the lithology and also investigate the degree of cementation, compaction trend and environment of deposition with emphasis on the reservoir. The geomechanical parameters reveal that the reservoirs within the study area is predominantly unconsolidated sandstone and friable shale which serves as reservoir seal. The result shows that the reservoir sand units have low Poisson ratio, Young modulus, Bulk modulus, Shear modulus and high UCS (0.31Gpa, 11.5GPa, 0.06GPa, 4.3GPa, 337.5psi respectively), with high compressibility value of 0.08GPa at reservoirs intervals. This suggest that the reservoir rocks are brittle with high potential to tensile failure.
Keywords:
- Geomechanical
- poisson ratio
- young modulus
- bulk modulus and UCS.
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References
Khamehchi I, Rahimzadeh Kivi MR, Akbari. A novel approach to sand production prediction using artificial intelligence, J. Petrol. Sci. Eng. 2014;123:147–154.
Osisanya SO. ‘‘Practical Guidelines for Predicting Sand Production’’, SPE 136980, paper presented at the 34th Annual SPE International Conference and Exhibition held in Tinapa, Calabar, Nigeria;2010.
Osaki Lawson-Jack, Etim D. Uko, Iyeneomie Tamunobereton-Ari and Matthew A. Alabraba. “Geomechanical Characterization of a Reservoir in Part of Niger Delta, Nigeria. Asian Journal of Applied Science and Technology (AJAST) (Peer Reviewed Quarterly International Journal) 2019;3(1):10-30.
Abijah FA, Tse AC. Geomechanical evaluation of an onshore oil field in the Niger Delta, Nigeria. IOSRJ Appl Geol Geophys. 2016;4(1):99–111
Saikia K, Ikuku CE, Sarkar BC. An integrated approach to discretized 3D modeling of geomechanical properties for unconventional mature field appraisal in the western Canadian sedimentary basin. J Pet Explor Prod Technol. 2018;8:417–429.
Available:https: //doi.org/10.1007/ s1320 2-017-0406-3.
Udo KI, Akpan MJ, Agbasi OE. Estimation of overpressures in onshore Niger Delta using wire-line data. Int J Sci Res. 2015;4(5):2780–2784
Orife JM, Avbovbo AA. Stratigraphic and unconformity traps in the Nige Delta: AAPG Bulletine. 2013;66(2):251-262.
Ubong E Essien, Akaninyene O Akankpo, Okechukwu E Agbasi. Evaluation of Reservoir’s Petrophysical Parameters, Niger Delta, Nigeria. International Journal of Advanced Geosciences, 2017;5 (1):19-25.
Available:https://doi.org/10.14419/ijag.v5i1.7456.
Anderson PF. Comparing post-stack AVO inversion to pre-stack inversion for estimating rock properties, Frontiers Innovation, CSPG, CSEG, CWLS Convention, Canada;2009.
Agbasi EO, Inyang N, Ibout, J. Estimation of Water Saturation in Niger Delta Nigeria Using Wire-Line logs. IOSR, Journal of Applied Physics (IOSR-JAP). E-ISSN: 2278 – 4861. 2013;3(4):66 -71.
Akpabio I, Ibuot J, Agbasi OE, Ojo OT. Petrophysical Characterization of eight wells from Wire-line Logs, Niger Delta Nigeria. Asian Journal of Applied Science, ISSN 2521 - 0893, 2014;02(02):105- 109.
Akankpo AO, Umoren EB, Agbasi OE. Porosity Estimation Using Wire-Line Log to Depth in Niger Delta, Nigeria. IOSR Journal of Applied Geology and Geophysics (IOSRJAGG) eISSN: 2321– 0990, p-ISSN: 2321–0982. 2015;3(4) Ver. II:31-38 www.iosrjournals.org. Applied Studies. ISSN 2028-9324. 2015;3(3):765-773.
Okoli Emeka Austin, Onyekuru Smauel I, Agbasi Okechukwu Ebuka and Zaidoon Taha Abdulrazzaq. Application of Model-Based Inversion Technique in a Field in the Coastal Swamp Depobelt, Niger Delta. International Journal of Advanced Geosciences, 2018;6(1):122–126.
Available: https://doi.org/10.14419/ijag.v5i2.7890.
Avseth T. Mukerji, Mavko G. Quantitative Seismic Interpretation – Applying Rock Physics Tools to Reduce Interpretation Risk, Cambridge University Press, Cambridge. 2005;52–210.
Bianlong Z, Ma D, Li L, Juncheng H. Application of Logging Data in Predicting Sand Production in Oilfield. Egyptian Journal of Petroleum. 2013;18:6173-6180.
Dvorkin JA, Nur A. Elasticity of high-porosity sandstones: Theory for two North Sea data sets. Geophysics. 1996;61:1363-1370.
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